diff --git a/.github/workflows/contrib_checks.yml b/.github/workflows/contrib_checks.yml
index 5bc190ac51af..fe2f6406572a 100644
--- a/.github/workflows/contrib_checks.yml
+++ b/.github/workflows/contrib_checks.yml
@@ -72,11 +72,10 @@ jobs:
       - uses: prefix-dev/setup-pixi@v0.9.1
         with:
           pixi-version: v0.55.0
-          environments: py-docs
 
       - name: Build via mkdocs
         run: |
-          pixi run -e py-docs mkdocs build --strict -f rerun_py/mkdocs.yml
+          pixi run uv run --group docs mkdocs build --strict -f rerun_py/mkdocs.yml
 
   no-codegen-changes:
     name: Check if running codegen would produce any changes
@@ -201,7 +200,7 @@ jobs:
           pixi-version: v0.55.0
 
       - name: Check Python example thumbnails
-        run: pixi run ./scripts/ci/thumbnails.py check
+        run: pixi run uvpy ./scripts/ci/thumbnails.py check
 
   spell-check:
     name: Spell Check
diff --git a/.github/workflows/contrib_rerun_py.yml b/.github/workflows/contrib_rerun_py.yml
index 3ba5402b9db3..98a83ffcd0f1 100644
--- a/.github/workflows/contrib_rerun_py.yml
+++ b/.github/workflows/contrib_rerun_py.yml
@@ -54,7 +54,6 @@ jobs:
       - uses: prefix-dev/setup-pixi@v0.9.1
         with:
           pixi-version: v0.55.0
-          environments: wheel-test-min
 
       - name: Build rerun-cli
         run: |
@@ -66,7 +65,7 @@ jobs:
 
       - name: Build the wheel
         run: |
-          pixi run python scripts/ci/build_and_upload_wheels.py \
+          pixi run uvpy scripts/ci/build_and_upload_wheels.py \
             --mode pr \
             --target x86_64-unknown-linux-gnu \
             --dir unused \
@@ -74,14 +73,14 @@ jobs:
 
       - name: Install built wheel
         run: |
-          pixi run python scripts/ci/pixi_install_wheel.py --feature python-pypi --package rerun-sdk --dir dist/x86_64-unknown-linux-gnu
+          pixi run python scripts/ci/uv_install_wheel.py --package rerun-sdk --dir dist/x86_64-unknown-linux-gnu
 
       - name: Run e2e test
-        run: RUST_LOG=debug pixi run -e wheel-test-min scripts/run_python_e2e_test.py --no-build # rerun-sdk is already built and installed
+        run: RUST_LOG=debug pixi run uvpy scripts/run_python_e2e_test.py --no-build # rerun-sdk is already built and installed
 
       - name: Run docs/snippets/compare_snippet_output.py
         # --release so we can inherit from some of the artifacts that maturin has just built before
         # --target x86_64-unknown-linux-gnu because otherwise cargo loses the target cache… even though this is the target anyhow…
         # --no-py-build because rerun-sdk is already built and installed
         run: |
-          RUST_LOG=debug pixi run -e wheel-test-min docs/snippets/compare_snippet_output.py --release --target x86_64-unknown-linux-gnu --no-py-build
+          RUST_LOG=debug pixi run uvpy docs/snippets/compare_snippet_output.py --release --target x86_64-unknown-linux-gnu --no-py-build
diff --git a/.github/workflows/on_push_docs.yml b/.github/workflows/on_push_docs.yml
index 152297baf15e..c46a9182e498 100644
--- a/.github/workflows/on_push_docs.yml
+++ b/.github/workflows/on_push_docs.yml
@@ -63,7 +63,6 @@ jobs:
       - uses: prefix-dev/setup-pixi@v0.9.1
         with:
           pixi-version: v0.55.0
-          environments: py-docs
 
       - name: Install rerun-sdk
         run: |
diff --git a/.github/workflows/recompose_ci.yml b/.github/workflows/recompose_ci.yml
new file mode 100644
index 000000000000..d02d137681e8
--- /dev/null
+++ b/.github/workflows/recompose_ci.yml
@@ -0,0 +1,50 @@
+# ============================================================================
+# GENERATED FILE - DO NOT EDIT MANUALLY
+#
+# This workflow is generated by recompose. To modify:
+#   1. Edit the source automation/task definition
+#   2. Run: ./run generate_gha
+#   3. Commit the regenerated file
+#
+# Source: automation: ci
+# ============================================================================
+name: ci
+on:
+  push:
+    branches:
+    - main
+    - jleibs/recompose
+  pull_request: null
+jobs:
+  lint_all:
+    runs-on: ubuntu-latest
+    defaults:
+      run:
+        working-directory: recompose
+    steps:
+    - name: Checkout
+      uses: actions/checkout@v4
+    - name: Setup Python
+      uses: actions/setup-python@v5
+      with:
+        python-version: '3.12'
+    - name: Setup uv
+      uses: astral-sh/setup-uv@v4
+    - name: lint-all
+      run: ./run lint-all
+  test:
+    runs-on: ubuntu-latest
+    defaults:
+      run:
+        working-directory: recompose
+    steps:
+    - name: Checkout
+      uses: actions/checkout@v4
+    - name: Setup Python
+      uses: actions/setup-python@v5
+      with:
+        python-version: '3.12'
+    - name: Setup uv
+      uses: astral-sh/setup-uv@v4
+    - name: test
+      run: ./run test
diff --git a/.github/workflows/recompose_lint.yml b/.github/workflows/recompose_lint.yml
new file mode 100644
index 000000000000..31504903a99c
--- /dev/null
+++ b/.github/workflows/recompose_lint.yml
@@ -0,0 +1,30 @@
+# ============================================================================
+# GENERATED FILE - DO NOT EDIT MANUALLY
+#
+# This workflow is generated by recompose. To modify:
+#   1. Edit the source automation/task definition
+#   2. Run: ./run generate_gha
+#   3. Commit the regenerated file
+#
+# Source: automation: lint
+# ============================================================================
+name: lint
+on:
+  workflow_dispatch: null
+jobs:
+  lint:
+    runs-on: ubuntu-latest
+    defaults:
+      run:
+        working-directory: recompose
+    steps:
+    - name: Checkout
+      uses: actions/checkout@v4
+    - name: Setup Python
+      uses: actions/setup-python@v5
+      with:
+        python-version: '3.12'
+    - name: Setup uv
+      uses: astral-sh/setup-uv@v4
+    - name: lint
+      run: ./run lint
diff --git a/.github/workflows/recompose_test.yml b/.github/workflows/recompose_test.yml
new file mode 100644
index 000000000000..e15ebf3706d5
--- /dev/null
+++ b/.github/workflows/recompose_test.yml
@@ -0,0 +1,42 @@
+# ============================================================================
+# GENERATED FILE - DO NOT EDIT MANUALLY
+#
+# This workflow is generated by recompose. To modify:
+#   1. Edit the source automation/task definition
+#   2. Run: ./run generate_gha
+#   3. Commit the regenerated file
+#
+# Source: automation: test
+# ============================================================================
+name: test
+on:
+  workflow_dispatch:
+    inputs:
+      verbose:
+        description: Show verbose output
+        required: false
+        default: false
+        type: boolean
+      coverage:
+        description: Enable coverage reporting
+        required: false
+        default: false
+        type: boolean
+jobs:
+  test:
+    runs-on: ubuntu-latest
+    defaults:
+      run:
+        working-directory: recompose
+    steps:
+    - name: Checkout
+      uses: actions/checkout@v4
+    - name: Setup Python
+      uses: actions/setup-python@v5
+      with:
+        python-version: '3.12'
+    - name: Setup uv
+      uses: astral-sh/setup-uv@v4
+    - name: test
+      run: ./run test --verbose=${{ inputs.verbose }} --coverage=${{ 
+        inputs.coverage }}
diff --git a/.github/workflows/reusable_bench.yml b/.github/workflows/reusable_bench.yml
index 5fb496fba4b1..9ad01562be5a 100644
--- a/.github/workflows/reusable_bench.yml
+++ b/.github/workflows/reusable_bench.yml
@@ -76,11 +76,6 @@ jobs:
       - uses: prefix-dev/setup-pixi@v0.9.1
         with:
           pixi-version: v0.55.0
-          # default: for the rendering step
-          # wheel-test-min: minimal env for roundtrips (less heavy than wheel-test/examples)
-          environments: >-
-            default
-            wheel-test-min
 
       - name: Add SHORT_SHA env property with commit short sha
         run: echo "SHORT_SHA=`echo ${{github.sha}} | cut -c1-7`" >> $GITHUB_ENV
@@ -89,8 +84,7 @@ jobs:
         # Use bash shell so we get pipefail behavior with tee
         # Running under `pixi` so we get `nasm`
         run: |
-          pixi run -e wheel-test-min \
-            cargo bench \
+          pixi run cargo bench \
             --all-features \
             -p re_entity_db \
             -p re_log_encoding \
diff --git a/.github/workflows/reusable_build_and_upload_wheels.yml b/.github/workflows/reusable_build_and_upload_wheels.yml
index 32802e9c5075..9dd9accad039 100644
--- a/.github/workflows/reusable_build_and_upload_wheels.yml
+++ b/.github/workflows/reusable_build_and_upload_wheels.yml
@@ -204,7 +204,7 @@ jobs:
 
       - name: Build
         run: |
-          pixi run python scripts/ci/build_and_upload_wheels.py \
+          pixi run uvpy scripts/ci/build_and_upload_wheels.py \
             --mode ${{ inputs.MODE }} \
             --target ${{ needs.set-config.outputs.TARGET }} \
             --dir commit/${{ steps.get-sha.outputs.sha }}/wheels \
@@ -227,7 +227,7 @@ jobs:
         run: |
           rm -rf dist
           pixi run js-build-base
-          pixi run python scripts/ci/build_and_upload_rerun_notebook.py \
+          pixi run uvpy scripts/ci/build_and_upload_rerun_notebook.py \
             --dir commit/${{ steps.get-sha.outputs.sha }}/wheels
 
       - name: Save rerun_notebook wheel artifact
diff --git a/.github/workflows/reusable_build_examples.yml b/.github/workflows/reusable_build_examples.yml
index a8606b2092b8..0a562e5a465e 100644
--- a/.github/workflows/reusable_build_examples.yml
+++ b/.github/workflows/reusable_build_examples.yml
@@ -62,23 +62,29 @@ jobs:
       - uses: prefix-dev/setup-pixi@v0.9.1
         with:
           pixi-version: v0.55.0
-          environments: wheel-test
 
-      - name: Download Wheel
+      - name: Download Rerun Wheel
         uses: actions/download-artifact@v4
         with:
           name: ${{ inputs.WHEEL_ARTIFACT_NAME }}
           path: wheel
 
+      - name: Download Rerun Notebook Wheel
+        uses: actions/download-artifact@v4
+        with:
+          name: rerun_notebook_wheel
+          path: wheel
+
       - name: Install built wheel
         run: |
-          pixi run python scripts/ci/pixi_install_wheel.py --feature python-pypi --package rerun-sdk --dir wheel
+          pixi run python scripts/ci/uv_install_wheel.py --package rerun-sdk --dir wheel
+          pixi run python scripts/ci/uv_install_wheel.py --package rerun-notebook --dir wheel --platform-independent
 
       - name: Print wheel version
         run: |
-          pixi list -e wheel-test | grep rerun_sdk
-          pixi run -e wheel-test python -m rerun --version
-          pixi run -e wheel-test which rerun
+          pixi run uv pip show rerun-sdk
+          pixi run uv pip show rerun-notebook
+          pixi run uvpy -m rerun --version
 
       - name: Get sha
         id: get-sha
@@ -88,18 +94,18 @@ jobs:
 
       - name: Build examples
         run: |
-          pixi run -e wheel-test build-examples rrd \
+          pixi run build-examples rrd --install \
             --channel ${{ inputs.CHANNEL }} \
             example_data
 
       - name: Build notebooks
         run: |
-          pixi run -e wheel-test build-examples notebook \
+          pixi run build-examples notebook \
             --channel ${{ inputs.CHANNEL }}
 
       - name: Build & run snippets
         run: |
-          pixi run -e wheel-test build-examples snippets \
+          pixi run build-examples snippets \
             example_data/snippets
 
       - name: Upload assets
diff --git a/.github/workflows/reusable_checks.yml b/.github/workflows/reusable_checks.yml
index 627c238be165..c51ccab536bd 100644
--- a/.github/workflows/reusable_checks.yml
+++ b/.github/workflows/reusable_checks.yml
@@ -158,7 +158,7 @@ jobs:
           pixi-version: v0.55.0
 
       - name: Check Python example thumbnails
-        run: pixi run ./scripts/ci/thumbnails.py check
+        run: pixi run uvpy ./scripts/ci/thumbnails.py check
 
   check-example-manifest-coverage:
     name: Check example manifest coverage
diff --git a/.github/workflows/reusable_checks_python.yml b/.github/workflows/reusable_checks_python.yml
index b7673c5913c0..08f74b6b8bff 100644
--- a/.github/workflows/reusable_checks_python.yml
+++ b/.github/workflows/reusable_checks_python.yml
@@ -61,8 +61,7 @@ jobs:
       - uses: prefix-dev/setup-pixi@v0.9.1
         with:
           pixi-version: v0.55.0
-          environments: py-docs
 
       - name: Build via mkdocs
         run: |
-          pixi run -e py-docs mkdocs build --strict -f rerun_py/mkdocs.yml
+          pixi run uv run --group docs mkdocs build --strict -f rerun_py/mkdocs.yml
diff --git a/.github/workflows/reusable_deploy_docs.yml b/.github/workflows/reusable_deploy_docs.yml
index 9f814e761356..95ef3f7f58bd 100644
--- a/.github/workflows/reusable_deploy_docs.yml
+++ b/.github/workflows/reusable_deploy_docs.yml
@@ -69,7 +69,6 @@ jobs:
       - uses: prefix-dev/setup-pixi@v0.9.1
         with:
           pixi-version: v0.55.0
-          environments: py-docs
 
       - id: "auth"
         uses: google-github-actions/auth@v2
@@ -83,7 +82,7 @@ jobs:
           version: ">= 363.0.0"
 
       - name: Build docs
-        run: pixi run -e py-docs mkdocs build -f rerun_py/mkdocs.yml -d site
+        run: pixi run uv run --group docs mkdocs build -f rerun_py/mkdocs.yml -d site
 
       - name: "Upload Python Docs (version)"
         uses: google-github-actions/upload-cloud-storage@v2
@@ -200,7 +199,6 @@ jobs:
       - uses: prefix-dev/setup-pixi@v0.9.1
         with:
           pixi-version: v0.55.0
-          environments: py-docs
 
       - id: "auth"
         uses: google-github-actions/auth@v2
diff --git a/.github/workflows/reusable_publish_web.yml b/.github/workflows/reusable_publish_web.yml
index 5252631e7022..d805c10baff5 100644
--- a/.github/workflows/reusable_publish_web.yml
+++ b/.github/workflows/reusable_publish_web.yml
@@ -79,7 +79,10 @@ jobs:
       - uses: prefix-dev/setup-pixi@v0.9.1
         with:
           pixi-version: v0.55.0
-          environments: wheel-test
+
+      - name: Bootstrap examples
+        run: |
+          pixi run uv sync --group examples --inexact --no-install-package rerun-sdk
 
       # built by `reusable_build_and_publish_wheels`
       - name: Download Wheel
@@ -90,32 +93,31 @@ jobs:
 
       - name: Install built wheel
         run: |
-          pixi run python scripts/ci/pixi_install_wheel.py --feature python-pypi --package rerun-sdk --dir wheel
+          pixi run python scripts/ci/uv_install_wheel.py --package rerun-sdk --dir wheel
 
       - name: Print wheel version
         run: |
-          pixi list -e wheel-test | grep rerun_sdk
-          pixi run -e wheel-test python -m rerun --version
-          pixi run -e wheel-test which rerun
+          pixi run uv pip show rerun-sdk
+          pixi run uvpy -m rerun --version
 
       - name: Build web-viewer (release)
         run: |
-          pixi run -e wheel-test rerun-build-web-release
+          pixi run rerun-build-web-release
 
       - name: Build examples
         run: |
-          pixi run -e wheel-test build-examples rrd \
+          pixi run build-examples rrd --install \
             --channel "release" \
             crates/viewer/re_web_viewer_server/web_viewer/examples
 
       - name: Build & run snippets
         run: |
-          pixi run -e wheel-test build-examples snippets \
+          pixi run build-examples snippets \
             crates/viewer/re_web_viewer_server/web_viewer/examples/snippets
 
       - name: Build examples manifest
         run: |
-          pixi run -e wheel-test build-examples manifest \
+          pixi run build-examples manifest \
             --base-url "https://app.rerun.io/version/${{inputs.release-version}}" \
             --channel "release" \
             crates/viewer/re_web_viewer_server/web_viewer/examples_manifest.json
diff --git a/.github/workflows/reusable_run_notebook.yml b/.github/workflows/reusable_run_notebook.yml
index f54b48748566..ec178ac20b15 100644
--- a/.github/workflows/reusable_run_notebook.yml
+++ b/.github/workflows/reusable_run_notebook.yml
@@ -42,7 +42,6 @@ jobs:
       - uses: prefix-dev/setup-pixi@v0.9.1
         with:
           pixi-version: v0.55.0
-          environments: wheel-test
 
       - name: Download Wheel
         uses: actions/download-artifact@v4
@@ -59,18 +58,18 @@ jobs:
       - name: Get version
         id: get-version
         run: |
-          pixi run -e wheel-test 'echo "wheel_version=$(python scripts/ci/crates.py get-version)"' >> "$GITHUB_OUTPUT"
+          pixi run 'echo "wheel_version=$(python scripts/ci/crates.py get-version)"' >> "$GITHUB_OUTPUT"
 
       - name: Install built wheel
         run: |
-          pixi run python scripts/ci/pixi_install_wheel.py --feature python-pypi --package rerun-sdk --dir wheel
-          pixi run python scripts/ci/pixi_install_wheel.py --feature python-pypi --package rerun-notebook --dir wheel --platform-independent
+          pixi run python scripts/ci/uv_install_wheel.py --package rerun-sdk --dir wheel
+          pixi run python scripts/ci/uv_install_wheel.py --package rerun-notebook --dir wheel --platform-independent
 
       - name: Install Deps
-        run: pixi run -e wheel-test pip install -r examples/python/notebook/requirements.txt
+        run: pixi run uv pip install -r examples/python/notebook/requirements.txt
 
       - name: Create notebook
-        run: pixi run -e wheel-test jupyter nbconvert --to=html --ExecutePreprocessor.enabled=True examples/python/notebook/cube.ipynb --output /tmp/cube.html
+        run: pixi run uv jupyter nbconvert --to=html --ExecutePreprocessor.enabled=True examples/python/notebook/cube.ipynb --output /tmp/cube.html
 
       - id: "auth"
         uses: google-github-actions/auth@v2
diff --git a/.github/workflows/reusable_test_wheels.yml b/.github/workflows/reusable_test_wheels.yml
index 5753ed452c12..0ea84b93f9af 100644
--- a/.github/workflows/reusable_test_wheels.yml
+++ b/.github/workflows/reusable_test_wheels.yml
@@ -150,8 +150,6 @@ jobs:
       - uses: prefix-dev/setup-pixi@v0.9.1
         with:
           pixi-version: v0.55.0
-          # Only has the deps for round-trips. Not all examples.
-          environments: wheel-test-min
 
       - name: Download Wheel
         uses: actions/download-artifact@v4
@@ -161,50 +159,48 @@ jobs:
 
       - name: Get version
         id: get-version
-        run: pixi run -e wheel-test-min 'echo "wheel_version=$(python scripts/ci/crates.py get-version)"' >> "$GITHUB_OUTPUT"
+        run: pixi run 'echo "wheel_version=$(python scripts/ci/crates.py get-version)"' >> "$GITHUB_OUTPUT"
 
       - name: Install built wheel
         run: |
-          pixi run python scripts/ci/pixi_install_wheel.py --feature python-pypi --package rerun-sdk --dir wheel
+          pixi run python scripts/ci/uv_install_wheel.py --package rerun-sdk --dir wheel
 
       - name: Print wheel version
         run: |
-          pixi list -e wheel-test-min | grep rerun_sdk
-          pixi run -e wheel-test-min python -m rerun --version
-          pixi run -e wheel-test-min which rerun
-          pixi run -e wheel-test-min rerun-from-path  --version
+          pixi run uv pip show rerun-sdk
+          pixi run uvpy -m rerun --version
 
       - name: Run unit tests (with linux arm64 opencv workaround)
         if: ${{ inputs.PLATFORM == 'linux-arm64' }}
         # Workaround for OpenCV TLS issue, see https://github.com/opencv/opencv/issues/14884#issuecomment-815632861
-        run: cd rerun_py/tests && LD_PRELOAD=/usr/lib/aarch64-linux-gnu/libgomp.so.1 pixi run -e wheel-test-min pytest -c ../pyproject.toml
+        run: LD_PRELOAD=/usr/lib/aarch64-linux-gnu/libgomp.so.1 pixi run py-test-no-build
 
       - name: Run unit tests
         if: ${{ inputs.PLATFORM != 'linux-arm64' }}
-        run: cd rerun_py/tests && pixi run -e wheel-test-min pytest -c ../pyproject.toml
+        run: pixi run py-test-no-build
 
       - name: Run e2e test
-        run: RUST_LOG=debug pixi run -e wheel-test-min python scripts/run_python_e2e_test.py --no-build # rerun-sdk is already built and installed
+        run: RUST_LOG=debug pixi run uvpy scripts/run_python_e2e_test.py --no-build # rerun-sdk is already built and installed
 
       - name: Check for release checklist
         if: ${{ inputs.FAST }}
         # Only check that the release checklist executes successfully
-        run: RUST_LOG=warn RERUN_STRICT=1 PYTHONWARNINGS=error pixi run -e wheel-test-min python tests/python/release_checklist/main.py --stdout > /dev/null
+        run: RUST_LOG=warn RERUN_STRICT=1 PYTHONWARNINGS=error pixi run uvpy tests/python/release_checklist/main.py --stdout > /dev/null
 
       - name: Build C++ snippets
         if: ${{ !inputs.FAST }}
         # Separated out of compare_snippet_output.py run so we control the pixi environment.
         # This used to cause issues on Windows during the setup of the pixi environment when running from inside `compare_snippet_output.py`.
-        run: pixi run -e wheel-test-min cpp-build-snippets
+        run: pixi run cpp-build-snippets
 
       - name: Run docs/snippets/compare_snippet_output.py
         if: ${{ !inputs.FAST }}
         # explicit target because otherwise cargo loses the target cache… even though this is the target anyhow…
         # --no-py-build because rerun-sdk is already built and installed
-        run: RUST_LOG=debug pixi run -e wheel-test-min python docs/snippets/compare_snippet_output.py --target ${{ needs.set-config.outputs.TARGET }} --no-py-build --no-cpp-build
+        run: RUST_LOG=debug pixi run uvpy docs/snippets/compare_snippet_output.py --target ${{ needs.set-config.outputs.TARGET }} --no-py-build --no-cpp-build
 
       - name: Check the python library signatures
-        run: pixi run -e wheel-test-min python scripts/ci/python_check_signatures.py
+        run: pixi run py-check-signatures
 
       - name: Report disk usage
         if: always() # Run this even if a previous step fails.
diff --git a/.gitignore b/.gitignore
index fbe64bf0d7b5..3043927fabac 100644
--- a/.gitignore
+++ b/.gitignore
@@ -34,7 +34,6 @@ _deps
 **/venv*
 **/.venv*
 /env/
-.python-version
 
 # Python build artifacts:
 __pycache__
diff --git a/.python-version b/.python-version
new file mode 100644
index 000000000000..2c0733315e41
--- /dev/null
+++ b/.python-version
@@ -0,0 +1 @@
+3.11
diff --git a/BUILD.md b/BUILD.md
index 3bffcfd69f58..d74b777259a2 100644
--- a/BUILD.md
+++ b/BUILD.md
@@ -103,8 +103,8 @@ Rerun is available as a package on PyPi and can be installed with `pip install r
 Additionally, nightly dev wheels from head of `main` are available at <https://github.com/rerun-io/rerun/releases/tag/prerelease>.
 
 If you want to build from source, you can do so easily in the Pixi environment:
-* Run `pixi run py-build --release` to build SDK & Viewer for Python (or `pixi run py-build` for a debug build)
-* Then you can run examples from the repository, either by making the Pixi shell active with  `pixi shell` and then running Python or by using `pixi run`, e.g. `pixi run Python examples/python/minimal/minimal.py`
+* Run `pixi run py-build` to build the SDK for Python (or `pixi run py-build --release` for a release build)
+* Then run examples via uv: `pixi run uv run examples/python/minimal/minimal.py`
 
 
 ### Tests & tooling
diff --git a/CLAUDE.md b/CLAUDE.md
new file mode 100644
index 000000000000..a7d2e23ee500
--- /dev/null
+++ b/CLAUDE.md
@@ -0,0 +1,56 @@
+# OVERVIEW
+
+This is the rerun project. It's a huge open-source project, but you are only working on a part of it.
+We are trying to significantly improve our task/automation tooling. This is all within the context of an
+exiting base-branch `jleibs/python-uv-workflows`, which is another in-flight project moving dependency
+management of the test system out of pixi and into uv.
+
+We are currently focused on the `recompose` sub-project. Start by reading the context from: @recompose/PLAN.md
+
+Within `rerun`, you may be interested in `pixi.toml`, `pyproject.toml`, `scripts/`, as these are the things we
+eventually hope to simplify with recompose.
+
+DO NOT MODIFY ANY CODE OUTSIDE OF `recompose` or a new `recompose_tasks` folder. We're building a new parallel
+task system here and I want to keep everything else clean.
+
+## HOW TO WORK
+
+This project is significantly larger than you can possibly accomplish in a single session, so you are
+going to need to self-manage your context strategically, leaving ample bread-crumbs to follow in the future.
+
+Create a new high-level file in `@recompose/WORK.md` KEEP THIS FILE TIDY. It should not be a rolling log, but
+should serve as a starting point reference explaining the context of what is currently inflight and a bit of what
+should come next. Each time you start a new session, consult the WORK.md file. If it's clear from the NOW section
+what you should be doing, keep working on that. If you are DONE with the NOW section, then clean it up, and
+pull in the next item from the backlog. Make sure to add NEW items to the backlog as you go.
+
+You may want to keep detailed project plans as you go as well. Rather than pollute the global WORK.md,
+Keep the detailed per-project planning and notes in `recompose/proj/<PRI>_<NAME>_<STATE>.md` instead.
+
+-   Use <PRI> to order tasks in order
+-   Use <NAME> to give a short but meaningful identifier to the sub-project
+-   Use <STATE> : TODO, IN_PROGRESS, DONE
+
+Any time you start a new sub-project, plan it our thoroughly in this file. Make sure you understand all the
+sub-tasks and have have a clear completion criteria for when that project is wrapped up and you can move onto
+the next project. This means you can consult this context IF another project was relevant to your current task
+but it keeps the information organized and on-demand.
+
+DO NOT BE OVERLY AMBITIOUS. Steady, incremental progress is how you will get something working.
+
+Whenever you are making big decisions, confirm them with the user before proceeding. Things like candidate
+project plans, fundamental architecture decisions. etc.
+
+AFTER each sub-project, take a pass at reviewing the big-picture again. Does the existing architecture, plan, scaffolding,
+etc. still make sense? Do we nee to change the big-picture? Do we need to change other tentative sub-plans that haven't
+been started?
+
+## GOOD PRACTICES
+
+-   Please, don't use mocks in your unit-tests -- every time you do this you fail to test the things you care about.
+-   Leverage uv for managing dependencies. Create a NEW uv environment inside the `recompose` project along with a
+    corresponding `pyproject.toml`. Don't pollute the global `uv` / `pyproject.toml`.
+-   As you make progress, commit so that you don't lose your work.
+    -   Keep your commit messages short and to the point. You dont need to write an essay for each message. I can read the code.
+-   If you are ever uncertain, ASK CLARIFYING QUESTIONS. Make sure you capture the answers in the work log or update PLAN.md
+    to make sure things are clear in the future.
diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md
index ef8272272f3d..28e2a481073f 100644
--- a/CONTRIBUTING.md
+++ b/CONTRIBUTING.md
@@ -241,7 +241,7 @@ Tests are located in the [./rerun_cpp/tests/](./rerun_cpp/tests/) folder.
 ### Snippet comparison tests
 
 ```sh
-pixi run -e py docs/snippets/compare_snippet_output.py
+pixi run uvpy docs/snippets/compare_snippet_output.py
 ```
 
 More details in the [README.md](./docs/snippets/README.md).
@@ -251,7 +251,7 @@ Makes sure all of the snippets in the [snippets/](./docs/snippets/) folder are w
 ### Release checklists
 
 ```sh
-pixi run -e examples python tests/python/release_checklist/main.py
+pixi run uv run tests/python/release_checklist/main.py
 ```
 
 More details in the [README.md](./tests/python/release_checklist/README.md).
diff --git a/RELEASES.md b/RELEASES.md
index e37c52ade973..06e9cc1d2d34 100644
--- a/RELEASES.md
+++ b/RELEASES.md
@@ -109,7 +109,7 @@ Update the change log. It should include:
 -   A gif or screenshot showing one or more major new features
     - Try to avoid `mp4`s, gifs have a better experience on GitHub
     - You can upload images to a PR, use the link it generates to use GitHub as an image hosting service.
--   Run `pixi run -e py python scripts/generate_changelog.py > new_changelog.md`
+-   Run `pixi run uvpy scripts/generate_changelog.py > new_changelog.md`
 -   Edit PR descriptions/labels to improve the generated changelog
 -   Copy-paste the results into `CHANGELOG.md`.
 -   Editorialize the changelog if necessary
diff --git a/crates/build/re_dev_tools/src/build_examples/install.rs b/crates/build/re_dev_tools/src/build_examples/install.rs
index 06d4045579fe..874565bcd6ca 100644
--- a/crates/build/re_dev_tools/src/build_examples/install.rs
+++ b/crates/build/re_dev_tools/src/build_examples/install.rs
@@ -10,10 +10,10 @@ use crate::build_examples::wait_for_output::wait_for_output;
 #[argh(subcommand, name = "install")]
 pub struct Install {
     #[argh(option, description = "include only examples in this channel")]
-    channel: Channel,
+    pub(crate) channel: Channel,
 
     #[argh(option, description = "run only these examples")]
-    examples: Vec<String>,
+    pub(crate) examples: Vec<String>,
 }
 
 impl Install {
@@ -30,11 +30,14 @@ impl Install {
         };
         examples.sort_by(|a, b| a.name.cmp(&b.name));
 
-        let mut cmd = Command::new("python3");
-        cmd.arg("-m").arg("pip").arg("install");
+        let mut cmd = Command::new("uv");
+        cmd.arg("sync")
+            .arg("--inexact")
+            .arg("--no-install-package")
+            .arg("rerun-sdk");
 
         for example in &examples {
-            cmd.arg("-e").arg(&example.dir);
+            cmd.arg("--package").arg(&example.name);
         }
 
         let progress = MultiProgress::new();
diff --git a/crates/build/re_dev_tools/src/build_examples/mod.rs b/crates/build/re_dev_tools/src/build_examples/mod.rs
index c3d85a8c87e8..9476023bb463 100644
--- a/crates/build/re_dev_tools/src/build_examples/mod.rs
+++ b/crates/build/re_dev_tools/src/build_examples/mod.rs
@@ -22,6 +22,7 @@ mod wait_for_output;
 use argh::FromArgs;
 use example::Channel;
 pub use example::{Example, ExamplesManifest, Language};
+use install::Install;
 use wait_for_output::wait_for_output;
 
 /// Build examples and their manifest.
diff --git a/crates/build/re_dev_tools/src/build_examples/rrd.rs b/crates/build/re_dev_tools/src/build_examples/rrd.rs
index b00013d7a0e6..be90f3bd7c05 100644
--- a/crates/build/re_dev_tools/src/build_examples/rrd.rs
+++ b/crates/build/re_dev_tools/src/build_examples/rrd.rs
@@ -5,7 +5,7 @@ use std::process::Command;
 use indicatif::MultiProgress;
 use rayon::prelude::{IntoParallelIterator as _, ParallelIterator as _};
 
-use super::{Channel, Example, wait_for_output};
+use super::{Channel, Example, Install, wait_for_output};
 
 /// Collect examples in the repository and run them to produce `.rrd` files.
 #[derive(argh::FromArgs)]
@@ -19,12 +19,23 @@ pub struct Rrd {
 
     #[argh(option, description = "run only these examples")]
     examples: Vec<String>,
+
+    #[argh(switch, description = "install examples before running")]
+    install: bool,
 }
 
 impl Rrd {
     pub fn run(self) -> anyhow::Result<()> {
         create_dir_all(&self.output_dir)?;
 
+        if self.install {
+            Install {
+                channel: self.channel,
+                examples: self.examples.clone(),
+            }
+            .run()?;
+        }
+
         let workspace_root = re_build_tools::cargo_metadata()?.workspace_root;
         let mut examples = if self.examples.is_empty() {
             self.channel.examples(workspace_root)?
diff --git a/crates/build/re_dev_tools/src/build_examples/snippets.rs b/crates/build/re_dev_tools/src/build_examples/snippets.rs
index 6215eb10e69b..bc44ca3b091b 100644
--- a/crates/build/re_dev_tools/src/build_examples/snippets.rs
+++ b/crates/build/re_dev_tools/src/build_examples/snippets.rs
@@ -17,8 +17,26 @@ pub struct Snippets {
     output_dir: PathBuf,
 }
 
+fn install_snippet_deps() {
+    // uv sync --inexact --no-install-package rerun-sdk --group snippets
+    let mut cmd = Command::new("uv");
+    cmd.arg("sync");
+    cmd.arg("--inexact");
+    cmd.arg("--no-install-package");
+    cmd.arg("rerun-sdk");
+    cmd.arg("--group");
+    cmd.arg("snippets");
+
+    let _ = cmd
+        .status()
+        .expect("failed to run `uv sync` to install snippet dependencies");
+}
+
 impl Snippets {
     pub fn run(self) -> anyhow::Result<()> {
+        // Install snippet dependencies by running:
+        install_snippet_deps();
+
         create_dir_all(&self.output_dir)?;
 
         let snippets_dir = re_build_tools::cargo_metadata()?
diff --git a/docs/snippets/README.md b/docs/snippets/README.md
index 21d51dcb2c10..32e7535d177e 100644
--- a/docs/snippets/README.md
+++ b/docs/snippets/README.md
@@ -11,7 +11,7 @@ You can run each example individually using the following:
 - **C++**:
   - `pixi run -e cpp cpp-build-snippets` to compile all examples
   - `./build/debug/docs/snippets/all/<example_name>` to run, e.g. `./build/debug/docs/snippets/all/point3d_random`
-- **Python**: `pixi run py-build && pixi run -e py python <example_name>.py`, e.g. `pixi run -e py python point3d_random.py`.
+- **Python**: `pixi run py-build && pixi run uvpy <example_name>.py`, e.g. `pixi run uvpy point3d_random.py`.
 - **Rust**: `cargo run -p snippets -- <example_name> [args]`, e.g. `cargo run -p snippets -- point3d_random`.
 
 ## Comparison test
@@ -23,8 +23,8 @@ These tests check that A) all of our SDKs yield the exact same data when used th
 
 ### Usage
 
-To run the comparison tests, check out `pixi run -e py docs/snippets/compare_snippet_output.py --help`.
-`pixi run -e py docs/snippets/compare_snippet_output.py` is a valid invocation that will build all 3 SDKs and run all tests for all of them.
+To run the comparison tests, check out `pixi run uvpy docs/snippets/compare_snippet_output.py --help`.
+`pixi run uvpy docs/snippets/compare_snippet_output.py` is a valid invocation that will build all 3 SDKs and run all tests for all of them.
 
 ### Implementing new tests
 
diff --git a/docs/snippets/compare_snippet_output.py b/docs/snippets/compare_snippet_output.py
old mode 100755
new mode 100644
index c4281d4f5cab..2cc285a8c410
--- a/docs/snippets/compare_snippet_output.py
+++ b/docs/snippets/compare_snippet_output.py
@@ -122,10 +122,16 @@ def main() -> None:
 
     if args.no_py:
         pass  # No need to build the Python SDK
-    elif args.no_py_build:
-        print("Skipping building python rerun-sdk - assuming it is already built and up-to-date!")
     else:
-        build_python_sdk(build_env)
+        if args.no_py_build:
+            print("Skipping building python rerun-sdk - assuming it is already built and up-to-date!")
+        else:
+            build_python_sdk(build_env)
+        # Use uv to install the snippet dependencies
+        run(
+            ["uv", "sync", "--group", "snippets", "--inexact", "--no-install-package", "rerun-sdk"],
+            env=build_env,
+        )
 
     if args.no_cpp:
         pass  # No need to build the C++ SDK
diff --git a/examples/manifest.toml b/examples/manifest.toml
index efb6221e58dd..4e33541baab6 100644
--- a/examples/manifest.toml
+++ b/examples/manifest.toml
@@ -80,8 +80,6 @@ examples = [
   "annotation_gradio",
   "prompt_depth_anything",
   "sam2_depthanything",
-  "human_pose_tracking",
-  "gesture_detection",
   "ocr",
   "live_camera_edge_detection",
   "segment_anything_model",
@@ -190,4 +188,8 @@ examples = [
   "table_zoo",
   "template",
   "viewer_callbacks",
+
+  # TODO(jleibs): We want to bring them back once opentelemtry is fixed
+  "human_pose_tracking",
+  "gesture_detection",
 ]
diff --git a/examples/notebook/notebook_neural_field_2d/neural_field_2d.ipynb b/examples/notebook/notebook_neural_field_2d/neural_field_2d.ipynb
index 6fddf7c3b834..f60a72272eb7 100644
--- a/examples/notebook/notebook_neural_field_2d/neural_field_2d.ipynb
+++ b/examples/notebook/notebook_neural_field_2d/neural_field_2d.ipynb
@@ -74,6 +74,7 @@
     "            self.linears.append(torch.nn.Linear(in_size, out_size))\n",
     "\n",
     "        if self.pe_sigma is not None:\n",
+    "            assert isinstance(self.linears[0], torch.Tensor)\n",
     "            torch.nn.init.normal_(self.linears[0].weight, 0.0, self.pe_sigma)\n",
     "\n",
     "    def __str__(self) -> str:\n",
diff --git a/examples/python/README.md b/examples/python/README.md
index 2f2389c6d2ca..0ac05f88668a 100644
--- a/examples/python/README.md
+++ b/examples/python/README.md
@@ -47,26 +47,18 @@ NOTE: `.rrd` files do not yet guarantee any backwards or forwards compatibility.
 
 The Rerun project makes extensive use of [Pixi](https://pixi.sh/latest/) for various developer tasks, and Pixi can be used to run examples as well. For this, you need to install Pixi as per the installation instructions on their website.
 
-The Pixi environment `examples-pypi` will use the published Rerun SDK package from PyPI.
-
-To use this environment, specify it when running the example:
-```shell
-pixi run -e examples-pypi minimal
-```
-
 ### Running examples with Pixi from source
 
-Alternatively, you can build Rerun from source, and install it in the Pixi environment. Note that this requires a Rust
-toolchain to be installed on your system.
+You can build Rerun from source, and install it in the uv environment managed by Pixi. Note that this requires a Rust toolchain to be installed on your system.
 
-Before running the example, make sure the source build is up-to-date:
+Before running examples, build the SDK:
 ```shell
-pixi run py-build-examples
+pixi run py-build
 ```
 
-Now you can run the example with the source build:
+Now you can run examples via uv:
 ```shell
-pixi run -e examples minimal
+pixi run uv run examples/python/minimal/minimal.py
 ```
 
 ## Datasets
diff --git a/examples/python/all_examples/README.md b/examples/python/all_examples/README.md
deleted file mode 100644
index 01ff9d01625d..000000000000
--- a/examples/python/all_examples/README.md
+++ /dev/null
@@ -1,48 +0,0 @@
-## Example meta-project
-
-TODO(ab): this is largely WIP with unclear path to actual usefulness.
-
-### Dynamically depend on all examples
-
-This project dynamically depend on all examples.
-
-Running `pip install -e .` will transitively install all examples that are compatible with the current Python version and platform. The examples can then be run directly:
-
-```shell
-clock  # runs the clock example
-python -m clock  # this is also possible
-```
-
-This is useful to rapidly test for potentially conflicting dependencies across examples:
-```shell
-cd /tmp
-uv venv
-source .venv/bin/activate
-uv pip install -e path/to/rerun/examples/python/all_examples   # ok??
-```
-
-The dynamic dependency list is achieved in `hatch_build.py`, which is registered as a hook. This hook adds [environment marker](https://packaging.python.org/en/latest/specifications/dependency-specifiers/#environment-markers) to mark Python version or platform restrictions.
-
-
-### List examples
-
-Running `python -m all_examples list` prints a list of all examples, suitable for copy-pasting to the `pixi.toml` file.
-
-### Configuration
-
-`all_examples` can be configured via the `[tool.rerun-example]` table from the `pyproject.toml` file. It currently supports the following parameters:
-
-```toml
-[tool.rerun-example]
-# always ignore this example
-skip = true
-
-# specify extra arguments when running this example (not yet used)
-extra-args = "--dataset hello_world"  # may also be a list
-
-# specify platform(s) incompatible with this example
-# will be translated into a `sys_platform` environment marker
-exclude-platform = "darwin"  # may also be a list
-```
-
-In addition, `all_examples` reads the `requires-python` setting from the `[project]` table (if any), and translate it to `python_version` environment marker.
diff --git a/examples/python/all_examples/all_examples/__init__.py b/examples/python/all_examples/all_examples/__init__.py
deleted file mode 100644
index 27e79caf78b0..000000000000
--- a/examples/python/all_examples/all_examples/__init__.py
+++ /dev/null
@@ -1,120 +0,0 @@
-from __future__ import annotations
-
-import platform
-from dataclasses import dataclass, field
-from pathlib import Path
-from typing import TYPE_CHECKING, Any, cast
-
-import tomli
-from pyproject_metadata import StandardMetadata
-
-if TYPE_CHECKING:
-    from collections.abc import Iterable
-
-# def _relative(target: Path, origin: Path) -> Path:
-#     """Return target path relative to the origin, allowing for walking up.
-#
-#     From https://stackoverflow.com/a/71874881/229511
-#     Note: Path.relative_to(origin, walk_up=True) is only available in Python 3.12
-#     """
-#     try:
-#         return Path(target).resolve().relative_to(Path(origin).resolve())
-#     except ValueError as e:  # target does not start with origin
-#         # recursion with origin (eventually origin is root so try will succeed)
-#         return Path("..").joinpath(_relative(target, Path(origin).parent))
-
-
-@dataclass
-class RerunMetadata:
-    """
-    Extract Rerun example metadata from a pyproject.toml data.
-
-    Expected format in the pyproject.toml:
-
-        [tool.rerun-example]
-        skip = true
-        extra-args = "--help"  # may also be a list
-        exclude-platform = "darwin"  # may also be a list
-    """
-
-    skip: bool
-    """Skip this example entirely."""
-
-    extra_args: list[str]
-    """Extra arguments to be passed to the example when running it."""
-
-    exclude_platform: list[str]
-    """Platform to be excluded (will emit `sys_platform` environment marker)."""
-
-    @classmethod
-    def from_pyproject(cls, pyproject_data: dict[str, Any]) -> RerunMetadata:
-        rerun_data = pyproject_data.get("tool", {}).get("rerun-example", {})
-
-        skip = rerun_data.pop("skip", False)
-        extra_args = rerun_data.pop("extra-args", [])
-        if isinstance(extra_args, str):
-            extra_args = [extra_args]
-        exclude_platform = rerun_data.pop("exclude-platform", [])
-        if isinstance(exclude_platform, str):
-            exclude_platform = [exclude_platform]
-
-        if not len(rerun_data) == 0:
-            raise ValueError(f"Unsupported fields in the rerun-example metadata: {', '.join(rerun_data.keys())}")
-
-        return cls(skip=skip, extra_args=extra_args, exclude_platform=exclude_platform)
-
-
-@dataclass
-class Example:
-    path: Path
-    name: str = field(init=False)
-    standard_metadata: StandardMetadata = field(init=False)
-    rerun_metadata: RerunMetadata = field(init=False)
-
-    def __post_init__(self) -> None:
-        self.name = self.path.name
-        pyproject_data = tomli.loads(Path(self.path / "pyproject.toml").read_text(encoding="utf-8"))
-        self.standard_metadata = StandardMetadata.from_pyproject(pyproject_data, self.path)
-        self.rerun_metadata = RerunMetadata.from_pyproject(pyproject_data)
-
-    def active(self) -> bool:
-        """Check that this example is active given its metadata but disregarding compatibility with the current Python version."""
-
-        return not self.rerun_metadata.skip
-
-    def compatible(self) -> bool:
-        """Check that this example is compatible with the current Python version."""
-        requires_python = self.standard_metadata.requires_python
-        if requires_python is not None:
-            return cast("bool", requires_python.contains(platform.python_version()))
-
-        return True
-
-    def environment_specifier(self) -> str:
-        """Returns an environment specifier as per the dependency specification."""
-
-        def specifier_iterator() -> Iterable[str]:
-            if self.standard_metadata.requires_python is not None:
-                for v in self.standard_metadata.requires_python:
-                    yield f"python_version {v.operator} '{v.version}'"
-            for pf in self.rerun_metadata.exclude_platform:
-                yield f"sys_platform != '{pf}'"
-
-        specifier = " and ".join(specifier_iterator())
-        if len(specifier) > 0:
-            specifier = " ; " + specifier
-
-        return specifier
-
-
-def active_examples() -> Iterable[Example]:
-    """Iterator over all active examples."""
-    example_dir = Path(__file__).parent.parent.parent
-
-    our_name = Path(__file__).parent.parent.name
-    for example_path in example_dir.glob("*"):
-        if example_path.is_dir() and (example_path / "pyproject.toml").exists() and example_path.name != our_name:
-            example = Example(example_path.absolute())
-
-            if example.active():
-                yield example
diff --git a/examples/python/all_examples/all_examples/__main__.py b/examples/python/all_examples/all_examples/__main__.py
deleted file mode 100644
index 6d8d3e309634..000000000000
--- a/examples/python/all_examples/all_examples/__main__.py
+++ /dev/null
@@ -1,36 +0,0 @@
-from __future__ import annotations
-
-import argparse
-from pathlib import Path
-
-from . import active_examples
-
-PROJECT_ROOT = Path(__file__).parent.parent.parent.parent.parent
-
-
-def cmd_list() -> None:
-    examples = active_examples()
-
-    for example in sorted(examples, key=lambda e: e.name):
-        rel_path = example.path.relative_to(PROJECT_ROOT)
-
-        # TODO(ab): add env marker when pixi supports them
-        print(f'{example.name} = {{ path = "{rel_path}", editable = true }} ')
-
-
-def main() -> None:
-    parser = argparse.ArgumentParser(prog="all_examples", description="Meta-project to enumerate all Python example")
-    subparsers = parser.add_subparsers(dest="command")
-
-    # `list` command
-    subparsers.add_parser("list", help="List all examples in format suitable for pixi.toml")
-
-    args = parser.parse_args()
-    if args.command == "list":
-        cmd_list()
-    else:
-        parser.print_help()
-
-
-if __name__ == "__main__":
-    main()
diff --git a/examples/python/all_examples/hatch_build.py b/examples/python/all_examples/hatch_build.py
deleted file mode 100644
index 9eab98770304..000000000000
--- a/examples/python/all_examples/hatch_build.py
+++ /dev/null
@@ -1,34 +0,0 @@
-from __future__ import annotations
-
-import sys
-from pathlib import Path
-from typing import Any
-
-from hatchling.metadata.plugin.interface import MetadataHookInterface
-
-sys.path.append(str(Path(__file__).parent))
-
-from all_examples import active_examples
-
-
-class MetadataHook(MetadataHookInterface):
-    def update(self, metadata: dict[str, Any]) -> None:
-        """
-        Use our very own package to list the examples we depend on.
-
-        IMPORTANT: Do not print to stdout/stderr in his function, as it will end up being parsed. Use this command to
-        check the output:
-
-            python -m hatchling metadata
-        """
-
-        # create a path-based dependency for all of our examples
-        dependencies = [
-            f"{example.name} @ file://{example.path.absolute()} {example.environment_specifier()}"
-            for example in active_examples()
-        ]
-
-        # other dependencies
-        dependencies.extend(["pyproject-metadata", "tomli"])
-
-        metadata["dependencies"] = dependencies
diff --git a/examples/python/all_examples/pyproject.toml b/examples/python/all_examples/pyproject.toml
deleted file mode 100644
index 04c760d4c45b..000000000000
--- a/examples/python/all_examples/pyproject.toml
+++ /dev/null
@@ -1,24 +0,0 @@
-[build-system]
-requires = ["hatchling", "pyproject-metadata", "tomli"]
-build-backend = "hatchling.build"
-
-[project]
-name = "all_examples"
-version = "0.1.0"
-requires-python = ">=3.10"
-readme = "README.md"
-dynamic = ["dependencies"]
-
-
-[project.scripts]
-all_examples = "all_examples.__main__:main"
-
-
-[tool.hatch.metadata.hooks.custom]
-path = "hatch_build.py"
-
-[tool.hatch.metadata]
-allow-direct-references = true
-
-[tool.rerun-example]
-skip = true
diff --git a/examples/python/arkit_scenes/arkit_scenes/__main__.py b/examples/python/arkit_scenes/arkit_scenes/__main__.py
index 5874db1fd809..f16fe35dc2e2 100755
--- a/examples/python/arkit_scenes/arkit_scenes/__main__.py
+++ b/examples/python/arkit_scenes/arkit_scenes/__main__.py
@@ -210,9 +210,9 @@ def log_arkit(recording_path: Path, include_highres: bool) -> None:
     rr.log(
         "world/mesh",
         rr.Mesh3D(
-            vertex_positions=mesh.vertices,
-            vertex_colors=mesh.visual.vertex_colors,
-            triangle_indices=mesh.faces,
+            vertex_positions=mesh.vertices,  # type: ignore[attr-defined]
+            vertex_colors=mesh.visual.vertex_colors,  # type: ignore[attr-defined]
+            triangle_indices=mesh.faces,  # type: ignore[attr-defined]
         ),
         static=True,
     )
diff --git a/examples/python/camera_video_stream/camera_video_stream.py b/examples/python/camera_video_stream/camera_video_stream.py
index be24882569a0..107e338c734d 100644
--- a/examples/python/camera_video_stream/camera_video_stream.py
+++ b/examples/python/camera_video_stream/camera_video_stream.py
@@ -58,10 +58,10 @@ def setup_output_stream(width: int, height: int, codec: str = "h264") -> av.vide
 
     if codec == "h264":
         output_container = av.open("/dev/null", "w", format="h264")  # Use AnnexB H.264 stream.
-        output_stream = output_container.add_stream("libx264")
+        output_stream = output_container.add_stream("libx264")  # type: ignore[assignment]
     elif codec == "av1":
         output_container = av.open("/dev/null", "w", format="ivf")  # Use IVF container for AV1 stream.
-        output_stream = output_container.add_stream("libaom-av1")
+        output_stream = output_container.add_stream("libaom-av1")  # type: ignore[assignment]
     else:
         raise ValueError(f"Unsupported codec: {codec}")
 
diff --git a/examples/python/controlnet/controlnet.py b/examples/python/controlnet/controlnet.py
index 23a2f03c632a..7b564470a7e9 100755
--- a/examples/python/controlnet/controlnet.py
+++ b/examples/python/controlnet/controlnet.py
@@ -37,8 +37,8 @@ def controlnet_callback(
     rr.set_time("timestep", duration=timestep)
     latents = callback_kwargs["latents"]
 
-    image = pipe.vae.decode(latents / pipe.vae.config.scaling_factor, return_dict=False)[0]
-    image = pipe.image_processor.postprocess(image, output_type="np").squeeze()
+    image = pipe.vae.decode(latents / pipe.vae.config.scaling_factor, return_dict=False)[0]  # type: ignore[attr-defined]
+    image = pipe.image_processor.postprocess(image, output_type="np").squeeze()  # type: ignore[attr-defined]
     rr.log("output", rr.Image(image))
     rr.log("latent", rr.Tensor(latents.squeeze(), dim_names=["channel", "height", "width"]))
 
diff --git a/examples/python/dicom_mri/dicom_mri.py b/examples/python/dicom_mri/dicom_mri.py
index 236bc9baa5a6..07feb1d631d1 100755
--- a/examples/python/dicom_mri/dicom_mri.py
+++ b/examples/python/dicom_mri/dicom_mri.py
@@ -40,7 +40,7 @@
 def extract_voxel_data(
     dicom_files: Iterable[Path],
 ) -> tuple[npt.NDArray[np.int16], npt.NDArray[np.float32]]:
-    slices = [dicom.read_file(f) for f in dicom_files]
+    slices = [dicom.read_file(f) for f in dicom_files]  # type: ignore[misc]
     try:
         voxel_ndarray, ijk_to_xyz = dicom_numpy.combine_slices(slices)
     except dicom_numpy.DicomImportException:
diff --git a/examples/python/human_pose_tracking/README.md b/examples/python/human_pose_tracking/README.md
index 17a6cd4ff229..734bf4f8b7b7 100644
--- a/examples/python/human_pose_tracking/README.md
+++ b/examples/python/human_pose_tracking/README.md
@@ -3,7 +3,6 @@ title = "Human pose tracking"
 tags = ["MediaPipe", "Keypoint detection", "2D", "3D"]
 thumbnail = "https://static.rerun.io/human-pose-tracking/5d62a38b48bed1467698d4dc95c1f9fba786d254/480w.png"
 thumbnail_dimensions = [480, 480]
-channel = "main"
 -->
 
 Use the [MediaPipe Pose Landmark Detection](https://developers.google.com/mediapipe/solutions/vision/pose_landmarker) solution to detect and track a human pose in video.
@@ -17,9 +16,11 @@ Use the [MediaPipe Pose Landmark Detection](https://developers.google.com/mediap
 </picture>
 
 ## Used Rerun types
+
 [`Image`](https://www.rerun.io/docs/reference/types/archetypes/image), [`Points2D`](https://www.rerun.io/docs/reference/types/archetypes/points2d), [`Points3D`](https://www.rerun.io/docs/reference/types/archetypes/points3d), [`ClassDescription`](https://www.rerun.io/docs/reference/types/datatypes/class_description), [`AnnotationContext`](https://www.rerun.io/docs/reference/types/archetypes/annotation_context), [`SegmentationImage`](https://www.rerun.io/docs/reference/types/archetypes/segmentation_image)
 
 ## Background
+
 Human pose tracking is a task in computer vision that focuses on identifying key body locations, analyzing posture, and categorizing movements.
 At the heart of this technology is a pre-trained machine-learning model to assess the visual input and recognize landmarks on the body in both image coordinates and 3D world coordinates.
 The use cases and applications of this technology include but are not limited to Human-Computer Interaction, Sports Analysis, Gaming, Virtual Reality, Augmented Reality, Health, etc.
@@ -27,8 +28,8 @@ The use cases and applications of this technology include but are not limited to
 In this example, the [MediaPipe Pose Landmark Detection](https://developers.google.com/mediapipe/solutions/vision/pose_landmarker) solution was utilized to detect and track human pose landmarks and produces segmentation masks for humans.
 Rerun was employed to visualize the output of the Mediapipe solution over time to make it easy to analyze the behavior.
 
-
 ## Logging and visualizing with Rerun
+
 The visualizations in this example were created with the following Rerun code.
 
 ### Timelines
@@ -41,8 +42,10 @@ rr.set_time("frame_idx", sequence=bgr_frame.idx)
 ```
 
 ### Video
+
 The input video is logged as a sequence of
 [`Image`](https://www.rerun.io/docs/reference/types/archetypes/image) objects to the 'Video' entity.
+
 ```python
 rr.log(
     "video/rgb",
@@ -81,6 +84,7 @@ rr.log("video/mask", rr.SegmentationImage(binary_segmentation_mask.astype(np.uin
 ```
 
 ### Body pose points
+
 Logging the body pose as a skeleton involves specifying the connectivity of its keypoints (i.e., pose landmarks), extracting the pose landmarks, and logging them as points to Rerun. In this example, both the 2D and 3D estimates from Mediapipe are visualized.
 
 The skeletons are logged through a combination of two archetypes. First, a static
@@ -128,6 +132,7 @@ rr.log(
 ## Run the code
 
 To run this example, make sure you have the Rerun repository checked out and the latest SDK installed:
+
 ```bash
 pip install --upgrade rerun-sdk  # install the latest Rerun SDK
 git clone git@github.com:rerun-io/rerun.git  # Clone the repository
@@ -136,10 +141,13 @@ git checkout latest  # Check out the commit matching the latest SDK release
 ```
 
 Install the necessary libraries specified in the requirements file:
+
 ```bash
 pip install -e examples/python/human_pose_tracking
 ```
+
 To experiment with the provided example, simply execute the main Python script:
+
 ```bash
 python -m human_pose_tracking # run the example
 ```
diff --git a/examples/python/llm_embedding_ner/llm_embedding_ner.py b/examples/python/llm_embedding_ner/llm_embedding_ner.py
index d6cb4c12c8b6..e08ef1ea2df2 100755
--- a/examples/python/llm_embedding_ner/llm_embedding_ner.py
+++ b/examples/python/llm_embedding_ner/llm_embedding_ner.py
@@ -121,7 +121,7 @@ def run_llm_ner(text: str) -> None:
     # Initialize model
     tokenizer = AutoTokenizer.from_pretrained("dslim/bert-base-NER")
     model = AutoModelForTokenClassification.from_pretrained("dslim/bert-base-NER")
-    ner_pipeline = pipeline("ner", model=model, tokenizer=tokenizer)
+    ner_pipeline = pipeline("ner", model=model, tokenizer=tokenizer)  # type: ignore[call-overload]
 
     # Compute intermediate and final output
     token_ids = tokenizer.encode(text)
diff --git a/examples/python/ocr/README.md b/examples/python/ocr/README.md
index a4187c46cb1d..b00b17c804a1 100644
--- a/examples/python/ocr/README.md
+++ b/examples/python/ocr/README.md
@@ -181,8 +181,8 @@ python -m ocr --help
 
 Depending on your system, pip may grab suboptimal packages, causing slow runtimes.
 Installing with [Pixi](https://pixi.sh/) has been observed to run significantly faster in this case and it will automatically install `poppler` which is required to run the example on PDF files.
-To do so, simply run this command after checking out the repository and installing Pixi:
+To do so, simply run these commands after checking out the repository and installing Pixi:
 
 ```bash
-pixi run -e examples-ocr ocr
+pixi run py-build && pixi run uv run examples/python/ocr/ocr.py
 ```
diff --git a/examples/python/raw_mesh/raw_mesh/__main__.py b/examples/python/raw_mesh/raw_mesh/__main__.py
index ec7da31d6209..6a9d9f6941f2 100755
--- a/examples/python/raw_mesh/raw_mesh/__main__.py
+++ b/examples/python/raw_mesh/raw_mesh/__main__.py
@@ -66,7 +66,7 @@ def log_scene(scene: trimesh.Scene, node: str, path: str | None = None) -> None:
             albedo_texture = None
 
             try:
-                vertex_texcoords = mesh.visual.uv
+                vertex_texcoords = mesh.visual.uv  # type: ignore[union-attr]
                 # trimesh uses the OpenGL convention for UV coordinates, so we need to flip the V coordinate
                 # since Rerun uses the Vulkan/Metal/DX12/WebGPU convention.
                 vertex_texcoords[:, 1] = 1.0 - vertex_texcoords[:, 1]
@@ -74,13 +74,13 @@ def log_scene(scene: trimesh.Scene, node: str, path: str | None = None) -> None:
                 pass
 
             try:
-                albedo_texture = mesh.visual.material.baseColorTexture
-                if mesh.visual.material.baseColorTexture is None:
+                albedo_texture = mesh.visual.material.baseColorTexture  # type: ignore[union-attr]
+                if mesh.visual.material.baseColorTexture is None:  # type: ignore[union-attr]
                     raise ValueError()
             except Exception:
                 # Try vertex colors instead.
                 try:
-                    colors = mesh.visual.to_color().vertex_colors
+                    colors = mesh.visual.to_color().vertex_colors  # type: ignore[union-attr]
                     if len(colors) == 4:
                         # If trimesh gives us a single vertex color for the entire mesh, we can interpret that
                         # as an albedo factor for the whole primitive.
diff --git a/examples/python/server_tables/README.md b/examples/python/server_tables/README.md
index 0e0629bbf0bf..ec7c22352d69 100644
--- a/examples/python/server_tables/README.md
+++ b/examples/python/server_tables/README.md
@@ -40,8 +40,8 @@ pip install -e examples/python/server_tables
 python examples/python/server_tables/server_tables.py
 ```
 
-or to run it from pixi
+or to run it via pixi/uv
 
 ```bash
-pixi run -e examples server_tables
+pixi run py-build && pixi run uv run examples/python/server_tables/server_tables.py
 ```
diff --git a/pixi.lock b/pixi.lock
index 3482e3463a26..01bdd50658f1 100644
--- a/pixi.lock
+++ b/pixi.lock
@@ -9,32 +9,14 @@ environments:
       linux-64:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/_libgcc_mutex-0.1-conda_forge.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/linux-64/_openmp_mutex-4.5-2_gnu.tar.bz2
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/actionlint-1.7.9-h965158b_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/aiohttp-3.9.5-py311h459d7ec_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/aiosignal-1.4.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/alsa-lib-1.2.14-hb9d3cd8_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/aom-3.9.1-hac33072_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/asttokens-3.0.0-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/attr-2.5.2-h39aace5_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/attrs-25.3.0-pyh71513ae_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/autopep8-2.3.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/aws-c-auth-0.8.0-hb88c0a9_10.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/aws-c-cal-0.8.0-hecf86a2_2.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/aws-c-common-0.10.3-hb9d3cd8_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/aws-c-compression-0.3.0-hf42f96a_2.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/aws-c-event-stream-0.5.0-h1ffe551_7.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/aws-c-http-0.9.1-hab05fe4_2.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/aws-c-io-0.15.2-hdeadb07_2.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/aws-c-mqtt-0.11.0-h7bd072d_8.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/aws-c-s3-0.7.2-h3a84f74_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/aws-c-sdkutils-0.2.1-hf42f96a_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/aws-checksums-0.2.2-hf42f96a_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/aws-crt-cpp-0.29.5-h0e61686_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/aws-sdk-cpp-1.11.449-hdaa582e_3.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/azure-core-cpp-1.14.0-h5cfcd09_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/azure-identity-cpp-1.10.0-h113e628_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/azure-storage-blobs-cpp-12.13.0-h3cf044e_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/azure-storage-common-cpp-12.8.0-h736e048_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/azure-storage-files-datalake-cpp-12.12.0-ha633028_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/binaryen-117-h59595ed_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/binutils-2.44-h4852527_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/binutils_impl_linux-64-2.44-h4bf12b8_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/binutils_linux-64-2.44-h4852527_1.conda
@@ -54,12 +36,9 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/cxx-compiler-1.6.0-h00ab1b0_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/dav1d-1.2.1-hd590300_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/dbus-1.16.2-h3c4dab8_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/decorator-5.2.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/doxygen-1.9.7-h661eb56_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/exceptiongroup-1.3.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/executing-2.2.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/fd-find-10.3.0-hdab8a38_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/ffmpeg-7.1.0-gpl_hf09ebf5_710.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/ffmpeg-7.1.1-gpl_ha0aeed6_910.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/flatbuffers-25.2.10-hb7832b1_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/font-ttf-dejavu-sans-mono-2.37-hab24e00_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/font-ttf-inconsolata-3.000-h77eed37_0.tar.bz2
@@ -77,12 +56,10 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/gdk-pixbuf-2.44.0-h2b0a6b4_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/gettext-0.25.1-h3f43e3d_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/gettext-tools-0.25.1-h3f43e3d_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/gflags-2.2.2-h5888daf_1005.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/gh-2.79.0-h76a2195_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/gitdb-4.0.12-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/gitignore-parser-0.1.13-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/gitpython-3.1.45-pyhff2d567_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/glog-0.7.1-hbabe93e_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/gmp-6.3.0-hac33072_2.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/graphite2-1.3.14-hecca717_2.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/gxx-12.4.0-h236703b_2.conda
@@ -91,11 +68,8 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/harfbuzz-11.4.5-h15599e2_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/icu-75.1-he02047a_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/idna-3.10-pyhd8ed1ab_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/importlib-metadata-8.7.0-pyhe01879c_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/iniconfig-2.0.0-pyhd8ed1ab_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/ipython-9.6.0-pyhfa0c392_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/ipython_pygments_lexers-1.1.1-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/jedi-0.19.2-pyhd8ed1ab_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/intel-gmmlib-22.8.2-hb700be7_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/intel-media-driver-25.3.4-hecca717_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jinja2-3.1.6-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jsonschema-4.25.1-pyhe01879c_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jsonschema-specifications-2025.9.1-pyhcf101f3_0.conda
@@ -106,30 +80,20 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/lame-3.100-h166bdaf_1003.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/linux-64/ld_impl_linux-64-2.44-h1423503_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/lerc-4.0.0-h0aef613_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libabseil-20240722.0-cxx17_hbbce691_4.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libarrow-18.0.0-h94eee4b_9_cpu.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libarrow-acero-18.0.0-h5888daf_9_cpu.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libarrow-dataset-18.0.0-h5888daf_9_cpu.conda
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-- conda: https://conda.anaconda.org/conda-forge/linux-64/xorg-libxxf86vm-1.1.6-hb9d3cd8_0.conda
-  sha256: 8a4e2ee642f884e6b78c20c0892b85dd9b2a6e64a6044e903297e616be6ca35b
-  md5: 5efa5fa6243a622445fdfd72aee15efa
-  depends:
-  - __glibc >=2.17,<3.0.a0
-  - libgcc >=13
-  - xorg-libx11 >=1.8.10,<2.0a0
-  - xorg-libxext >=1.3.6,<2.0a0
-  license: MIT
-  license_family: MIT
-  purls: []
-  size: 17819
-  timestamp: 1734214575628
 - conda: https://conda.anaconda.org/conda-forge/linux-64/xz-5.8.1-hbcc6ac9_2.conda
   sha256: 802725371682ea06053971db5b4fb7fbbcaee9cb1804ec688f55e51d74660617
   md5: 68eae977d7d1196d32b636a026dc015d
@@ -38661,26 +13759,6 @@ packages:
   - pkg:pypi/yarl?source=hash-mapping
   size: 143096
   timestamp: 1749555366270
-- pypi: https://files.pythonhosted.org/packages/c9/1e/631c80e0f97aef46eb73549b9b0f60d94057294e040740f4cad0cb1f48e4/yfinance-0.2.65-py2.py3-none-any.whl
-  name: yfinance
-  version: 0.2.65
-  sha256: 7be13abb0d80a17230bf798e9c6a324fa2bef0846684a6d4f7fa2abd21938963
-  requires_dist:
-  - pandas>=1.3.0
-  - numpy>=1.16.5
-  - requests>=2.31
-  - multitasking>=0.0.7
-  - platformdirs>=2.0.0
-  - pytz>=2022.5
-  - frozendict>=2.3.4
-  - peewee>=3.16.2
-  - beautifulsoup4>=4.11.1
-  - curl-cffi>=0.7
-  - protobuf>=3.19.0
-  - websockets>=13.0
-  - requests-cache>=1.0 ; extra == 'nospam'
-  - requests-ratelimiter>=0.3.1 ; extra == 'nospam'
-  - scipy>=1.6.3 ; extra == 'repair'
 - pypi: https://files.pythonhosted.org/packages/2e/54/647ade08bf0db230bfea292f893923872fd20be6ac6f53b2b936ba839d75/zipp-3.23.0-py3-none-any.whl
   name: zipp
   version: 3.23.0
@@ -38705,52 +13783,6 @@ packages:
   - pytest-enabler>=2.2 ; extra == 'enabler'
   - pytest-mypy ; extra == 'type'
   requires_python: '>=3.9'
-- conda: https://conda.anaconda.org/conda-forge/noarch/zipp-3.23.0-pyhd8ed1ab_0.conda
-  sha256: 7560d21e1b021fd40b65bfb72f67945a3fcb83d78ad7ccf37b8b3165ec3b68ad
-  md5: df5e78d904988eb55042c0c97446079f
-  depends:
-  - python >=3.9
-  license: MIT
-  license_family: MIT
-  purls:
-  - pkg:pypi/zipp?source=hash-mapping
-  size: 22963
-  timestamp: 1749421737203
-- pypi: https://files.pythonhosted.org/packages/01/1f/5c72806f76043c0ef9191a2b65281dacdf3b65b0828eb13bb2c987c4fb90/zstandard-0.24.0-cp311-cp311-macosx_10_9_x86_64.whl
-  name: zstandard
-  version: 0.24.0
-  sha256: addfc23e3bd5f4b6787b9ca95b2d09a1a67ad5a3c318daaa783ff90b2d3a366e
-  requires_dist:
-  - cffi>=1.17 ; python_full_version >= '3.13' and platform_python_implementation != 'PyPy' and extra == 'cffi'
-  requires_python: '>=3.9'
-- pypi: https://files.pythonhosted.org/packages/0b/ba/3059bd5cd834666a789251d14417621b5c61233bd46e7d9023ea8bc1043a/zstandard-0.24.0-cp311-cp311-macosx_11_0_arm64.whl
-  name: zstandard
-  version: 0.24.0
-  sha256: 6b005bcee4be9c3984b355336283afe77b2defa76ed6b89332eced7b6fa68b68
-  requires_dist:
-  - cffi>=1.17 ; python_full_version >= '3.13' and platform_python_implementation != 'PyPy' and extra == 'cffi'
-  requires_python: '>=3.9'
-- pypi: https://files.pythonhosted.org/packages/55/8a/81671f05619edbacd49bd84ce6899a09fc8299be20c09ae92f6618ccb92d/zstandard-0.24.0-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl
-  name: zstandard
-  version: 0.24.0
-  sha256: a0f6fc2ea6e07e20df48752e7700e02e1892c61f9a6bfbacaf2c5b24d5ad504b
-  requires_dist:
-  - cffi>=1.17 ; python_full_version >= '3.13' and platform_python_implementation != 'PyPy' and extra == 'cffi'
-  requires_python: '>=3.9'
-- pypi: https://files.pythonhosted.org/packages/a6/4c/63523169fe84773a7462cd090b0989cb7c7a7f2a8b0a5fbf00009ba7d74d/zstandard-0.24.0-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.whl
-  name: zstandard
-  version: 0.24.0
-  sha256: cd0d3d16e63873253bad22b413ec679cf6586e51b5772eb10733899832efec42
-  requires_dist:
-  - cffi>=1.17 ; python_full_version >= '3.13' and platform_python_implementation != 'PyPy' and extra == 'cffi'
-  requires_python: '>=3.9'
-- pypi: https://files.pythonhosted.org/packages/e2/8e/2c8e5c681ae4937c007938f954a060fa7c74f36273b289cabdb5ef0e9a7e/zstandard-0.24.0-cp311-cp311-win_amd64.whl
-  name: zstandard
-  version: 0.24.0
-  sha256: 3b95fc06489aa9388400d1aab01a83652bc040c9c087bd732eb214909d7fb0dd
-  requires_dist:
-  - cffi>=1.17 ; python_full_version >= '3.13' and platform_python_implementation != 'PyPy' and extra == 'cffi'
-  requires_python: '>=3.9'
 - conda: https://conda.anaconda.org/conda-forge/linux-64/zstd-1.5.7-hb8e6e7a_2.conda
   sha256: a4166e3d8ff4e35932510aaff7aa90772f84b4d07e9f6f83c614cba7ceefe0eb
   md5: 6432cb5d4ac0046c3ac0a8a0f95842f9
diff --git a/pixi.toml b/pixi.toml
index f9ee5d10af54..11c7b07e7161 100644
--- a/pixi.toml
+++ b/pixi.toml
@@ -1,18 +1,24 @@
 # Pixi is a package management tool for developers.
 # Before running a task, pixi ensures that all listed dependencies are installed first.
 #
-# Run the tasks with `pixi run TASK`, e.g. `pixi run codegen`.
-# Extra CLI argument after `pixi run TASK` are passed to the task cmd.
-# Lists tasks with `pixi task list`
-#
-# Type `pixi shell` to enter the pixi environment.
+# Run tasks with `pixi run TASK`, e.g. `pixi run codegen`.
+# Extra CLI arguments after `pixi run TASK` are passed to the task cmd.
+# List tasks with `pixi task list`
 #
 # https://pixi.sh/latest/
-
-# We currently assume pixi version 0.34.0
-# You can check that your environment is correct by running:
-# - python scripts/check_env.py
-# - pixi run check-env
+#
+# Python Development Workflow:
+# ----------------------------
+# Pixi manages build tools (Rust, C++, maturin, etc.) while uv manages Python runtime
+# dependencies in a separate .venv directory. To work with Python:
+#
+#   pixi run py-build                              # Build the rerun-sdk
+#   pixi run uv run examples/python/minimal/…   # Run Python scripts via uv
+#   pixi run uvpy script.py                        # Shorthand for running Python scripts
+#
+# See the [environments] section below for more details.
+#
+# Check your environment is correct by running: pixi run check-env
 
 [workspace]
 name = "rerun"
@@ -46,21 +52,22 @@ libc = "2.28"
 
 [activation]
 
+[activation.env]
+RERUN_DEV_ENVIRONMENT = "true"
+
 [target.unix.activation.env]
 # The executable extension for binaries on the current platform.
 EXECUTABLE_EXTENSION = ""
+# Prepend scripts/pixi to PATH so our uv wrapper shadows the conda uv.
+# This ensures uv targets .venv instead of the pixi environment.
+PATH = "${PIXI_PROJECT_ROOT}/scripts/pixi:${PATH}"
 
 [target.win-64.activation.env]
 # The executable extension for binaries on the current platform.
 EXECUTABLE_EXTENSION = ".exe"
-
-# python-dev
-
-[feature.python-dev.activation.env]
-# RERUN_ALLOW_MISSING_BIN is needed to allow maturin to run without the `rerun` binary being part of the rerun-sdk.
-RERUN_ALLOW_MISSING_BIN = "1"
-RERUN_DEV_ENVIRONMENT = "true"
-
+# Prepend scripts/pixi to PATH so our uv wrapper shadows the conda uv.
+# This ensures uv targets .venv instead of the pixi environment.
+PATH = "%PIXI_PROJECT_ROOT%\\scripts\\pixi;%PATH%"
 
 ################################################################################
 # ENVIRONMENTS
@@ -70,22 +77,17 @@ RERUN_DEV_ENVIRONMENT = "true"
 # The default environment is meant to serve as the basis for common development and
 # CI tasks. If you are only working in rust, this is the only environment you need.
 #
-# For practical reasons, this environment includes the utilities necessary to build
-# the python wheel. However, it does not come with the rerun python bindings installed.
+# Python run-time dependencies are installed and managed in a parallel uv environment.
+# `pixi run py-build` will install the rerun-sdk package into that uv environment.
+#
+# NOTE: when you run `pixi run uv`, it will find a `uv` helper script, which unsets
+# CONDA_PREFIX before invoking uv, ensuring that the uv environment is used rather
+# than leaking the pixi conda environment.
 #
-# To run code that uses python or cpp bindings, you will generally need to use one of
-# the more specialized environments: `py` or `cpp`.
-# - The python-dev feature is not included in the default environment because it can
-#   lead to unexpected (lengthy) Rerun build during environment creation.
+# To run code that uses cpp bindings, you will generally need to use the `cpp` env.
 # - The cpp feature cannot be included in the default environment because
 #   it breaks compilation of the rerun client on linux. See: https://github.com/rerun-io/rerun/issues/6852
-default = ["base", "wheel-build"]
-
-# The py environment is for running any code with a dependency on the python `rerun-sdk`.
-py = ["base", "wheel-build", "python-dev", "python-tasks", "py-test-deps"]
-
-# The py-docs environment is for building docs for the python package.
-py-docs = ["base", "python-docs"]
+default = ["base"]
 
 # The cpp environment is for building any code that depends on the C++ `rerun-sdk`.
 #
@@ -94,38 +96,6 @@ py-docs = ["base", "python-docs"]
 # in which you want to do viewer builds.
 cpp = ["base", "cpp"]
 
-# The wheel-test environment is for testing the python package when built from a wheel.
-# This environment is specifically used for validation of the wheel artifact in CI.
-# It does not include the features necessary for a source-build of the wheel.
-#
-# WARNING: wheel-test default depends on a published `rerun-sdk` version which will
-# be installed from pypi and not from the local source code.
-#
-# To update the wheel artifact that is registered with pixi, you can use `pixi_install_wheel.py`.
-# For example:
-# ```
-# pixi run python scripts/ci/pixi_install_wheel.py --feature python-pypi --package rerun-sdk --dir wheel
-# ```
-
-# Just the deps for running snippet comparisons.
-wheel-test-min = ["base", "cpp", "py-test-deps", "python-pypi", "wheel-build", "wheel-test"]
-
-# The full deps for running all examples
-wheel-test = ["base", "wheel-test", "wheel-build", "py-test-deps", "examples-common", "python-pypi"]
-
-# Example environments
-
-# These environments use the dev version of the python package.
-# The package will be installed in editable mode, so changes to the python code will be reflected immediately.
-# However, any changes to do the rust bindings will require running `pixi run py-build-examples`.
-examples = ["examples-common", "python-dev", "wheel-build", "examples-tasks"]
-# examples-ocr = ["examples-ocr", "wheel-build"]
-
-# This environment uses the pypi-published version of the python package. This avoids the need to
-# build the package from source if you just want to try running the examples locally.
-examples-pypi = ["examples-common", "python-pypi"]
-
-
 ################################################################################
 # TASKS
 ################################################################################
@@ -300,24 +270,26 @@ nb-strip = "python scripts/nbstripout.py --directories mypy examples/ scripts/ t
 nb-strip-check = "python scripts/nbstripout.py --directories mypy examples/ scripts/ tests/python/ docs/snippets/ -- --verify --extra-keys='metadata.language_info metadata.vscode metadata.kernelspec cell.metadata.vscode' --drop-empty-cells"
 
 
+# TODO(jleibs): tests/ scripts/ examples/ docs/ should be included in our format code
 # Run first ruff fix, then ruff format, order is important see also https://twitter.com/charliermarsh/status/1717229721954799727
-py-fmt = { cmd = "ruff check --fix --config rerun_py/pyproject.toml {{ files }} && ruff format --config rerun_py/pyproject.toml {{ files }}", args = [
-  { arg = "files", default = "." },
+py-fmt = { cmd = "uv run ruff check --fix {{ files }} && uv run ruff format {{ files }}", args = [
+  { arg = "files", default = "rerun_py rerun_notebook" },
 ] }
-py-fmt-check = "ruff check --config rerun_py/pyproject.toml . && ruff format --check --config rerun_py/pyproject.toml"
+py-fmt-check = "uv run ruff check rerun_py rerun_notebook && uv run ruff format --check rerun_py rerun_notebook"
 # Get non-internal things that are ok to not check rerun on
-py-lint-non-sdk = { cmd = "mypy --config-file rerun_py/.non_sdk_mypy.ini --install-types --non-interactive --no-warn-unused-ignore --cache-dir .mypy_cache_rerun_other", env = { PYTHONPATH = "$PYTHONPATH:rerun_py/rerun_sdk/" } }
+py-lint-non-sdk = { cmd = "uv run mypy --config-file rerun_py/.non_sdk_mypy.ini --no-warn-unused-ignore --cache-dir .mypy_cache_rerun_other" }
 # I couldn't get the config to work correctly, so placing relevant directories in command line
 # Until we resolve nbqa config issue keep aligned with nb-strip dirs below
-py-lint-nb-rerun = { cmd = "nbqa mypy examples/notebook scripts/ tests/python/ docs/snippets/ --config rerun_py/pyproject.toml --cache-dir .mypy_cache_rerun_nb ", env = { PYTHONPATH = "$PYTHONPATH:rerun_py/rerun_sdk/" } }
+# MYPYPATH is set to allow mypy to find rerun and rerun_bindings without needing maturin develop.
+py-lint-nb-rerun = { cmd = "uv run nbqa mypy --no-warn-unused-ignore examples/notebook scripts/ tests/python/ docs/snippets/ --cache-dir .mypy_cache_rerun_nb ", env = { MYPYPATH = "rerun_py:rerun_py/rerun_sdk:rerun_notebook/src" } }
 # Need to run this in env with rerun installed
-py-lint-rerun = "mypy --config-file rerun_py/pyproject.toml --install-types --non-interactive --no-warn-unused-ignore --cache-dir .mypy_cache_rerun_sdk"
+py-lint-rerun = "uv run mypy --no-warn-unused-ignore --cache-dir .mypy_cache_rerun_sdk"
 py-lint = { depends-on = ["py-lint-non-sdk", "py-lint-rerun", "py-lint-nb-rerun"] }
 
 rs-plot-dashboard = { cmd = "cargo r -p plot_dashboard_stress --release --" }
 
 dev-tools = "cargo run --locked -p re_dev_tools --"
-build-examples = "cargo run --locked -p re_dev_tools -- build-examples"
+build-examples = "uv run cargo run --locked -p re_dev_tools -- build-examples"
 
 # Start a local meilisearch instance at `localhost:7700` with master key `test`.
 # This should only be used for testing the search index locally.
@@ -373,125 +345,78 @@ js-docs = { cmd = "yarn --cwd rerun_js run docs", depends-on = ["js-build-packag
 
 js-docs-serve = { cmd = "yarn --cwd rerun_js run docs:serve", depends-on = ["js-docs"] }
 
-[feature.wheel-build.tasks]
+
 # Build and install a development version of the rerun-sdk Python package.
 #
+# These packages are installed into the parallel uv environment.
+#
 # This only needs to be called when you have made changes that would impact the rust bindings of
 # the python package. The python code will be imported directly from the source folder and will
 # reflect changes immediately upon re-import.
-# Note:
-# - pip (which is called by maturin develop) doesn't recognize conda/pixi envs as venv, and thus complains if
-#   configured to not install outside venv (which is a good practice). PIP_REQUIRE_VIRTUALENV=0 disables this check.
+# -
 # - RERUN_ALLOW_MISSING_BIN is needed to allow maturin to run without the `rerun` binary being part of the rerun-sdk
 #   package.
-py-build-common = { cmd = "PIP_REQUIRE_VIRTUALENV=0 RERUN_ALLOW_MISSING_BIN=1 maturin develop --manifest-path rerun_py/Cargo.toml --extras=tests", depends-on = [
-  "rerun-build", # We need to build rerun-cli since it is bundled in the python package.
-] }
 
-py-build-common-release = { cmd = "PIP_REQUIRE_VIRTUALENV=0 RERUN_ALLOW_MISSING_BIN=1 maturin develop --release --manifest-path rerun_py/Cargo.toml --extras=tests", depends-on = [
-  "rerun-build-release", # We need to build rerun-cli since it is bundled in the python package.
+# Build the `rerun-sdk` package.
+py-build = { cmd = "uv run maturin develop --uv --manifest-path rerun_py/Cargo.toml --extras=tests,datafusion", env = { RERUN_ALLOW_MISSING_BIN = "1" } }
+# Build the `rerun-notebook` package.
+py-build-notebook = { cmd = "uv sync --inexact --package rerun-notebook", depends-on = [
+  "js-build-base",
 ] }
-
-# Build and install the `rerun-sdk` package with the `web_viewer` & `server` feature.
-py-build-common-web-viewer = { cmd = "PIP_REQUIRE_VIRTUALENV=0 RERUN_ALLOW_MISSING_BIN=1 maturin develop --manifest-path rerun_py/Cargo.toml --features web_viewer,nasm,server --extras=tests", depends-on = [
-  "rerun-build-native-and-web", # We need to build rerun-cli since it is bundled in the python package.
+py-build-notebook-fast = { cmd = "uv sync --inexact --package rerun-notebook" }
+# Create a wheel for the `rerun-sdk` package.
+py-build-wheel = { cmd = "cp target/release/rerun$EXECUTABLE_EXTENSION rerun_py/rerun_sdk/rerun_cli/ && uv run maturin build --release --manifest-path rerun_py/Cargo.toml", depends-on = [
+  "rerun-build-native-and-web-release",
 ] }
 
+# Build the `rerun-sdk` package in release mode.
+py-build-release = { cmd = "uv run maturin develop --uv --release --manifest-path rerun_py/Cargo.toml --extras=tests,datafusion", env = { RERUN_ALLOW_MISSING_BIN = "1" } }
 # Build and install the `rerun-sdk` package with the `web_viewer` & `server` feature.
-py-build-common-web-viewer-release = { cmd = "PIP_REQUIRE_VIRTUALENV=0 RERUN_ALLOW_MISSING_BIN=1 maturin develop --release --manifest-path rerun_py/Cargo.toml --features web_viewer,nasm,server --extras=tests", depends-on = [
-  "rerun-build-native-and-web-release", # We need to build rerun-cli since it is bundled in the python package.
-] }
+py-build-web-viewer = { cmd = "uv run maturin develop --uv --manifest-path rerun_py/Cargo.toml --features web_viewer --extras=tests,datafusion", depends-on = [
+  "rerun-build-native-and-web",
+], env = { RERUN_ALLOW_MISSING_BIN = "1" } }
+# Build and install the `rerun-sdk` package with the `web_viewer` & `server` feature in release mode.
+py-build-web-viewer-release = { cmd = "uv run maturin develop --uv --release --manifest-path rerun_py/Cargo.toml --features web_viewer --extras=tests,datafusion", depends-on = [
+  "rerun-build-native-and-web-release",
+], env = { RERUN_ALLOW_MISSING_BIN = "1" } }
+# Dedicated alias for building the python bindings for the `py` environment with performance telemetry including Tracy profiler.
+py-build-perf-debug = { cmd = "uv run maturin develop --uv --manifest-path rerun_py/Cargo.toml --features re_perf_telemetry/tracy --extras=tests,datafusion", env = { RERUN_ALLOW_MISSING_BIN = "1" } }
+# Dedicated alias for building the python bindings in release mode for the `py` environment with performance telemetry including Tracy profiler.
+py-build-perf-release = { cmd = "uv run maturin develop --uv --release --manifest-path rerun_py/Cargo.toml --features re_perf_telemetry/tracy --extras=tests,datafusion", env = { RERUN_ALLOW_MISSING_BIN = "1" } }
 
+py-test = { cmd = "uvpy -m pytest -vv rerun_py/tests", depends-on = ["py-build"] }
+py-test-no-build = { cmd = "uvpy -m pytest -vv rerun_py/tests" }
+py-bench = { cmd = "uvpy -m pytest --benchmark-only", depends-on = ["py-build-release"] }
 
-# Build the `rerun-notebook` package.
-py-build-notebook = { cmd = "pip install -e rerun_notebook", depends-on = ["js-build-base"] }
+snapshots = "uvpy scripts/snapshots.py"
+
+py-check-signatures = "uvpy scripts/ci/python_check_signatures.py"
 
 # Build the JS parts of `rerun-notebook` without rebuilding re_viewer Wasm in the process
 py-build-notebook-js = { cmd = "npm --prefix rerun_notebook run build", depends-on = [
   "js-build-no-wasm",
 ] }
 
-# Build an installable wheel.
-# The wheel will contain the rerun executable including the web viewer.
-py-build-wheel = { cmd = "cp target/release/rerun$EXECUTABLE_EXTENSION rerun_py/rerun_sdk/rerun_cli/ && maturin build --release --manifest-path rerun_py/Cargo.toml", depends-on = [
-  "rerun-build-native-and-web-release",
-] }
-
 # Build an installable SDK-only wheel. IMPORTANT: unlike the officially published wheels, the wheel produced by this command does NOT include the viewer.
 py-build-wheels-sdk-only = { cmd = "RERUN_ALLOW_MISSING_BIN=1 python scripts/ci/build_and_upload_wheels.py --mode pr --dir ''" }
 
-[feature.python-tasks.tasks]
-
-# Dedicated alias for building the python bindings for the `py` environment.
-py-build = "pixi run -e py py-build-common"
-
-# Dedicated alias for building the python bindings in release mode for the `py` environment.
-py-build-release = "pixi run -e py py-build-common-release"
-
-# Dedicated alias for building the python bindings for the `py` environment with performance telemetry including Tracy profiler.
-py-build-perf-debug = "pixi run -e py py-build-common --features re_perf_telemetry/tracy"
-
-# Dedicated alias for building the python bindings in release mode for the `py` environment with performance telemetry including Tracy profiler.
-py-build-perf = "pixi run -e py py-build-common-release --features re_perf_telemetry/tracy"
-
-py-check-signatures = "python scripts/ci/python_check_signatures.py"
-
 # Helper alias to run the python interpreter in the context of the python environment
-rrpy = "python"
+rrpy = "uvpy"
 
-py-bench = { cmd = "python -m pytest -c rerun_py/pyproject.toml --benchmark-only", depends-on = [
-  "py-build-release",
-] }
 
-py-plot-dashboard = { cmd = "python tests/python/plot_dashboard_stress/main.py", depends-on = [
+py-plot-dashboard = { cmd = "uvpy tests/python/plot_dashboard_stress/main.py", depends-on = [
   "py-build",
 ] }
 
-
-# Run the Python tests.
-py-test = { cmd = "python -m pytest -vv rerun_py/tests/unit", depends-on = ["py-build-release"] }
-
-snapshots = "python scripts/snapshots.py"
-
-[feature.python-docs.tasks]
 # Build the documentation search index.
 # See `pixi run search-index --help` for more information.
 search-index = "cargo run --locked -p re_dev_tools -- search-index"
 
-# Serve python docs locally
-py-docs-serve = "mkdocs serve -f rerun_py/mkdocs.yml -w rerun_py"
-
-# Build python docs locally
-py-docs-build = "mkdocs build -f rerun_py/mkdocs.yml"
-
-[feature.wheel-test.tasks]
-# In the wheel-test environment we want to confirm the`rerun` binary on the path executes as expected.
-# However, since `rerun` is already its own task, we can't just `pixi run rerun`. This task lets us work
-# around that and executes `rerun` from the system shell within the context of the pixi environment.
-rerun-from-path = "rerun"
-
-[feature.examples-tasks.tasks]
+# Serve python docs locally (uses mkdocs from uv docs dependency group)
+py-docs-serve = "uv run --group docs mkdocs serve -f rerun_py/mkdocs.yml -w rerun_py"
 
-# Dedicated alias for building the python bindings for the `examples` environment.
-py-build-examples = "pixi run -e examples py-build-common"
-
-# Dedicated alias for building the python bindings for the `examples` environment, with performance telemetry including Tracy profiler.
-py-build-perf-debug-examples = "pixi run -e examples py-build-common --features re_perf_telemetry/tracy"
-
-# Dedicated alias for building the python bindings for the `examples` environment, in release.
-py-build-release-examples = "pixi run -e examples py-build-common-release"
-
-# Dedicated alias for building the python bindings for the `examples` environment in release, with performance telemetry including Tracy profiler.
-py-build-perf-examples = "pixi run -e examples py-build-common-release --features re_perf_telemetry/tracy"
-
-# Python example utilities
-py-run-all-examples = { cmd = "python scripts/run_all.py --skip-build", depends-on = [
-  "py-build-examples",
-] }
-py-run-all-examples-web = { cmd = "python scripts/run_all.py --web --skip-build", depends-on = [
-  "rerun-build-web-cli",
-  "py-build-examples",
-] }
+# Build python docs locally (uses mkdocs from uv docs dependency group)
+py-docs-build = "uv run --group docs mkdocs build -f rerun_py/mkdocs.yml"
 
 [feature.cpp.tasks]
 # All the cpp-* tasks can be configured with environment variables, e.g.: RERUN_WERROR=ON CXX=clang++
@@ -558,6 +483,7 @@ cpp-prepare-msvc = "cmake -G 'Visual Studio 17 2022' -B build-msvc -S ."
 #   `meilisearch`).
 # - Last resort, use a feature to conditionally include a dependency (e.g. `taplo`).
 
+actionlint = ">=1.7" # For validating GitHub Actions workflows
 aiohttp = ">=3.9.3,<3.10" # For `zombie_todos.py`
 attrs = ">=23.1.0"
 clang = "16.0.6.*"
@@ -574,52 +500,36 @@ jinja2 = ">=3.1.3,<3.2" # For `build_screenshot_compare.py` and other utilities
 lychee = "0.21.0.*"
 mypy = "1.14.1.*"
 nasm = ">=2.16" # Required by https://github.com/memorysafety/rav1d for native video support
-nbqa = "*"
 nbstripout = "*"
 ninja = "1.11.1.*"
-numpy = ">=2" # Whenever upgrading here, also make sure to upgrade in `rerun_py/pyproject.toml`
+libprotobuf = "6.*" # Provides `protoc` compiler needed by lance and prost-build
+protobuf = "6.*" # Python bindings for protobuf
 prettier = ">=3.6"
-pyarrow = "18.0.0.*" # Whenever upgrading here, also make sure to upgrade in `rerun_py/pyproject.toml`
-pytest = ">=8.4.2"
-pytest-benchmark = ">=4.0.0,<4.1"
 python = "=3.11" # We use the latest Python version here, so we get the latest mypy etc, EXCEPT 3.12 is too new for some of our examples. We run our CI tests on ALL supported versions though.
 ruff = "0.12.10.*"
+rich = "==14.2.0"
 semver = ">=3.0,<3.1"
-syrupy = "5.0.0.*" # Snapshot testing with pytest
 taplo = "=0.9.1"
+tomli = "=2.3.0"
 tomlkit = "0.12.3.*"
 tqdm = ">=4.66.2,<4.67" # For displaying progress in various utility scripts.
 typing_extensions = ">4.5"
 typos = ">=1.37.2"
 gh = ">=2.79.0,<3"
-
-
-[feature.base.pypi-dependencies]
-cryptography = "==38.0.4" # For `upload_image.py`
-google-cloud-storage = "==2.9.0" # For `upload_image.py`
-hatch = "==1.12.0" # For `rerun_notebook`
-huggingface_hub = "<1.0" # Needed for `LeRobot` checklist items
-inline-snapshot = "==0.31.0" # For `api_sandbox`
-jupyter = ">=1.0" # Needed for running the notebook (so we can actually do something after `pixi run py-build-notebook`)
-parso = ">=0.8.4, <0.9"
-Pillow = ">=10.0.0" # For `thumbnails.py`
-polars = "==1.35.2" # For api_sandbox
-pygithub = "==2.6.1" # Among others for `sync_release_assets.py`.
-requests = ">=2.31,<3" # For `thumbnails.py` & `upload_image.py`
-types-decorator = "*" # Type hint stubs
-types-Deprecated = "==1.2.9.2" # Type hint stubs
-types-pytz = "*" # Type hint stubs
-types-requests = ">=2.31,<3" # Type hint stubs
-
-[feature.wheel-build.dependencies]
 binaryen = "117.*" # for `wasm-opt`
-maturin = "==1.8.1"
 nodejs = ">=22.0" # rerun_notebook needs nodejs to build the wheel
 packaging = ">=24.0,<25" # For `publish_wheels.py`
 pip = ">=23"
-pyarrow = "18.0.0.*"
 wheel = ">=0.38,<0.39"
 
+[feature.base.pypi-dependencies]
+cryptography = "==38.0.4" # For `upload_image.py` -- note: version is constrained by hatch dependency
+google-cloud-storage = "==2.9.0" # For `upload_image.py`
+hatch = "*" # For `rerun_notebook`
+pygithub = "==2.6.1" # Among others for `sync_release_assets.py`.
+requests = ">=2.31,<3" # For `thumbnails.py` & `upload_image.py`
+uv = "==0.9.17"
+
 [target.linux-64.dependencies]
 patchelf = ">=0.17"
 meilisearch = "1.5.1.*" # not available for linux-aarch64
@@ -658,174 +568,3 @@ vs2022_win-64 = "19.37.32822.*"
 
 [feature.cpp.pypi-dependencies]
 ghp-import = "==2.1.0" # for CI documentation handling
-
-# PYTHON DEV ENVIRONMENT
-[feature.python-dev]
-platforms = ["linux-64", "linux-aarch64", "osx-arm64", "osx-64", "win-64"]
-
-[feature.python-dev.dependencies]
-# We need opencv for `compare_snippet_output.py` (needed by both C++ and Python)
-# and other common examples/snippets.
-#
-# We specifically don't use the pypi version because the conda version is generally
-# more portable. However, this is all a total mess. See: https://github.com/rerun-io/rerun/pull/6946
-#
-# This is also redundantly defined in `python-pypi`
-opencv = ">4.6"
-numpy = ">=2" # Rerun still needs numpy <2. Enforce this outside of the pypi dep tree so we pick up the conda version.
-
-[feature.python-dev.pypi-dependencies]
-# Install the `rerun_py` as a package in editable mode.
-# This is very similar to `pixi run py-build`, and dispatches to maturin by way of PEP621.
-# However, pixi doesn't know how to track the rust dependencies of the python package, so
-# you still need to `pixi run py-build` in the correct environment if you change the rust code.
-rerun-sdk = { path = "rerun_py", editable = true }
-
-# The same applies to the notebook.
-# However, in order to build rerun-notebook and thus to even activate environments with the
-# python-dev environment you first have to build `js-build-base`.
-# This in itself is a usability problem, but since Pixi may want to upgrade or setup these environments
-# when running the `js-build-base` task itself, it makes bootstrapping impossible without manual intervention.
-#rerun-notebook = { path = "rerun_notebook", editable = true }
-
-[feature.python-docs.pypi-dependencies]
-griffe = "==1.4.1"
-griffe-warnings-deprecated = "==1.1.0"
-mkdocs = "==1.6.1"
-mkdocs-gen-files = "==0.5.0"
-mkdocs-literate-nav = "==0.6.1"
-mkdocs-material = "==9.4.7"
-mkdocs-material-extensions = "==1.3"
-mkdocs-redirects = { git = "https://github.com/rerun-io/mkdocs-redirects.git", rev = "fb6b074554975ba7729d68d04957ce7c7dfd5003" } # forked mkdocs-redirects with https://github.com/rerun-io/mkdocs-redirects/commit/d367a0847928438b66f73508e49852be1190409b
-mkdocstrings = "==0.26.2"
-mkdocstrings-python = "==1.12.1"
-setuptools = ">75"
-sphobjinv = "==2.3.1"
-
-[feature.py-test-deps]
-platforms = ["linux-64", "linux-aarch64", "osx-arm64", "win-64"]
-
-[feature.py-test-deps.dependencies]
-# Used for some video examples.
-# Note that it comes with its own ffmpeg, see https://pyav.basswood-io.com/docs/stable/overview/installation.html.
-av = "==14.2.0"
-
-[feature.py-test-deps.pypi-dependencies]
-# Torch is needed to run the rerun unit tests.
-# This dependency is here to get torch into the pixi cache because it's large and installing it
-# during the wheel-test task itself is otherwise painful.
-torch = "==2.8.0" # This must match the torch version in any package we install during `wheel-test`
-# DataFusion is needed to run integration tests, but it is an optional dependency for rerun sdk
-datafusion = "==50.1.0"
-
-[feature.wheel-test.dependencies]
-pip = ">=23"
-
-# PYTHON PYPI ENVIRONMENT
-[feature.python-pypi]
-platforms = ["linux-64", "linux-aarch64", "osx-arm64", "osx-64", "win-64"]
-
-[feature.python-pypi.dependencies]
-# Note these are the same as in `python-dev` but we need to repeat them here because the two are mutually exclusive.
-opencv = ">4.6"
-numpy = ">=2" # Rerun still needs numpy <2. Enforce this outside of the pypi dep tree so we pick up the conda version.
-
-
-[feature.python-pypi.pypi-dependencies]
-rerun-sdk = { version = "==0.24.0", extras = ["all"] }
-rerun-notebook = "==0.24.0"
-
-# EXAMPLES ENVIRONMENT
-[feature.examples-common]
-# TODO(#9180): Split `examples` into high-dep and low-dep so we can run some examples on `linux-aarch64` and `osx-64`.
-platforms = ["linux-64", "osx-arm64", "win-64"]
-
-
-[feature.examples-common.system-requirements]
-macos = "13.0" # needed for scipy and opencv contrib wheels
-
-[feature.examples-common.dependencies]
-python = "=3.11"
-
-# TODO(ab): otherwise pixi will try to build from source and fail, not sure why (used by air_traffic_data)
-pyproj = ">=3.7.0"
-
-# Need to use the conda version of umap-learn to be compatible with numpy-2
-umap-learn = "==0.5.7"
-
-[feature.examples-common.pypi-dependencies]
-# External deps
-av = "==14.2.0"
-datafusion = "==50.1.0"
-jupyter = ">=1.0"
-polars = ">=0.12.0"
-
-segment-anything = { git = "https://github.com/facebookresearch/segment-anything.git" }
-
-# Rerun libs
-
-air_traffic_data = { path = "examples/python/air_traffic_data", editable = true }
-arkit_scenes = { path = "examples/python/arkit_scenes", editable = true }
-blueprint = { path = "examples/python/blueprint", editable = true }
-blueprint_stocks = { path = "examples/python/blueprint_stocks", editable = true }
-camera_video_stream = { path = "examples/python/camera_video_stream", editable = true }
-clock = { path = "examples/python/clock", editable = true }
-controlnet = { path = "examples/python/controlnet", editable = true }
-dataframe_query = { path = "examples/python/dataframe_query", editable = true }
-detect_and_track_objects = { path = "examples/python/detect_and_track_objects", editable = true }
-dicom_mri = { path = "examples/python/dicom_mri", editable = true }
-dna = { path = "examples/python/dna", editable = true }
-drone_lidar = { path = "examples/python/drone_lidar", editable = true }
-imu_signals = { path = "examples/python/imu_signals", editable = true }
-incremental_logging = { path = "examples/python/incremental_logging", editable = true }
-lidar = { path = "examples/python/lidar", editable = true }
-live_camera_edge_detection = { path = "examples/python/live_camera_edge_detection", editable = true }
-live_scrolling_plot = { path = "examples/python/live_scrolling_plot", editable = true }
-# This depends on umap-learn which is incompatible with numpy-2 if it is installed from pypi.
-llm_embedding_ner = { path = "examples/python/llm_embedding_ner", editable = true }
-log_file = { path = "examples/python/log_file", editable = true }
-minimal = { path = "examples/python/minimal", editable = true }
-minimal_options = { path = "examples/python/minimal_options", editable = true }
-multiprocess_logging = { path = "examples/python/multiprocess_logging", editable = true }
-multithreading = { path = "examples/python/multithreading", editable = true }
-graph_lattice = { path = "examples/python/graph_lattice", editable = true }
-graphs = { path = "examples/python/graphs", editable = true }
-nuscenes_dataset = { path = "examples/python/nuscenes_dataset", editable = true }
-nv12 = { path = "examples/python/nv12", editable = true }
-objectron = { path = "examples/python/objectron", editable = true }
-open_photogrammetry_format = { path = "examples/python/open_photogrammetry_format", editable = true }
-openstreetmap_data = { path = "examples/python/openstreetmap_data", editable = true }
-plots = { path = "examples/python/plots", editable = true }
-raw_mesh = { path = "examples/python/raw_mesh", editable = true }
-rgbd = { path = "examples/python/rgbd", editable = true }
-rrt_star = { path = "examples/python/rrt_star", editable = true }
-segment_anything_model = { path = "examples/python/segment_anything_model", editable = true }
-server_tables = { path = "examples/python/server_tables", editable = true }
-shared_recording = { path = "examples/python/shared_recording", editable = true }
-stdio = { path = "examples/python/stdio", editable = true }
-structure_from_motion = { path = "examples/python/structure_from_motion", editable = true }
-
-face_tracking = { path = "examples/python/face_tracking", editable = true }
-gesture_detection = { path = "examples/python/gesture_detection", editable = true }
-human_pose_tracking = { path = "examples/python/human_pose_tracking", editable = true }
-
-# # OCR Needs an isolated environment because it depends on opencv-4.6 by way of the `paddleclas` package
-# [feature.examples-ocr]
-# platforms = ["linux-64", "osx-arm64", "osx-64", "win-64"]
-#
-# [feature.examples-ocr.system-requirements]
-# macos = "12.0" # needed for scipy
-#
-# [feature.examples-ocr.dependencies]
-# poppler = "24.04"     # Needed to read pdf files.
-# faiss-cpu = "==1.7.2" # Dep comes from paddleclas but we want the conda version to avoid source-wheel build
-#
-# # Note these are the same as in `python-dev` but we need to repeat them here because the two are mutually exclusive.
-# numpy = "<2" # Rerun still needs numpy <2. Enforce this outside of the pypi dep tree so we pick up the conda version.
-#
-# [feature.examples-ocr.pypi-dependencies]
-# rerun-sdk = { path = "rerun_py", editable = true }
-# rerun-notebook = { path = "rerun_notebook", editable = true }
-#
-# paddleclas = { version = "==2.5.2" }
-# ocr = { path = "examples/python/ocr", editable = true }
diff --git a/pyproject.toml b/pyproject.toml
new file mode 100644
index 000000000000..44ae06abd4e7
--- /dev/null
+++ b/pyproject.toml
@@ -0,0 +1,358 @@
+# This pyproject.toml defines the uv workspace for Python development.
+#
+# Pixi (pixi.toml) manages build tools, while uv uses this file to manage
+# Python runtime dependencies in a .venv directory. The two work together:
+#
+#   pixi run py-build    # Uses maturin to build rerun-sdk into .venv
+#   pixi run uv run …  # Runs Python scripts using .venv
+#
+# Workspace members (rerun_py, rerun_notebook, examples) are defined in
+# [tool.uv.workspace] below.
+
+[project]
+name = "rerun-workspace"
+version = "0.28.0-alpha.1+dev"
+description = "Rerun Python workspace"
+requires-python = ">=3.10,<3.13"
+
+[dependency-groups]
+dev = [
+  # We can't include `rerun-sdk` in dev dependencies because the isolation of
+  # uv build interacts poorly with maturin, causing spurious rebuilds.
+  # Instead, `pixi run py-build` uses `maturin develop` to install into .venv.
+  # This fixup package installs a .pth file that allows `maturin develop` to work
+  # without needing the fix_rerun_pth.py post-processing script.
+  "rerun-dev-fixup",
+  "opentelemetry-exporter-otlp-proto-grpc==1.39.0",
+  "maturin>=1.0.0",
+  "ruff==0.12.10",
+  "mypy==1.14.1",
+  "nbqa==1.9.1",
+  # Packages needed for running scripts + their type stubs for mypy
+  "pandas>=2.0",
+  "pandas-stubs==2.3.3.251201",
+  "requests>=2.28",
+  "types-requests==2.32.4.20250913",
+  "tqdm>=4.60",
+  "types-tqdm==4.67.0.20250809",
+  "colorama>=0.4",
+  "types-colorama>=0.4.15",
+  # It looks like we end up with slightly different binary encodings of the same image on different OSes starting with Pillow 11
+  # Don't bump this until you want to spend time debugging that.
+  "Pillow>=10.0.0,<11.0.0", # has py.typed, no stubs needed
+  # Typed packages needed for linting scripts/examples
+  "attrs>=23.1.0",
+  "semver>=3.0,<3.1",
+  "tomlkit>=0.12",
+  "GitPython>=3.1",
+  "PyGithub>=2.0", #NOLINT
+  "Jinja2>=3.1",
+  "rich>=13.0",
+  # Testing packages (typed, needed for linting tests)
+  "pytest>=8.0",
+  "inline-snapshot>=0.31",
+  "syrupy>=4.0",
+  # Notebook dependencies (needed for linting rerun_notebook)
+  "anywidget>=0.9",
+  "jupyter-ui-poll>=0.2",
+  "ipywidgets>=8.0",
+  # Example dependencies (needed for linting examples)
+  "platformdirs>=4.0",
+  # Script dependencies (needed for linting scripts)
+  "google-cloud-storage>=2.9.0",
+  # Needed by lerobot dataloader example
+  "huggingface-hub<1.0",
+  # Typed packages for dataframe/arrow operations (needed for linting examples/tests)
+  "polars>=1.0",
+  "datafusion>=50.0",
+  "jupyter>=1.0",
+]
+snippets = ["av"]
+examples = [
+  # External deps used by examples
+  "polars>=0.12.0",
+  "opencv-python>=4.6",
+  "segment-anything @ git+https://github.com/facebookresearch/segment-anything.git",
+  # Example packages from workspace
+  "air_traffic_data",
+  "arkit_scenes",
+  "blueprint",
+  "blueprint_stocks",
+  "camera_video_stream",
+  "clock",
+  "controlnet",
+  "dataframe_query",
+  "detect_and_track_objects",
+  "dicom_mri",
+  "dna",
+  "drone_lidar",
+  "graph_lattice",
+  "graphs",
+  "imu_signals",
+  "incremental_logging",
+  "lidar",
+  "live_camera_edge_detection",
+  "live_scrolling_plot",
+  "llm_embedding_ner",
+  "log_file",
+  "minimal",
+  "minimal_options",
+  "multiprocess_logging",
+  "multithreading",
+  "nuscenes_dataset",
+  "nv12",
+  "objectron",
+  "open_photogrammetry_format",
+  "openstreetmap_data",
+  "plots",
+  "raw_mesh",
+  "rgbd",
+  "rrt_star",
+  "segment_anything_model",
+  "server_tables",
+  "shared_recording",
+  "stdio",
+  "structure_from_motion",
+  # TODO(RR-3223): fix opentelemetry conflicts
+  # "face_tracking",
+  # "gesture_detection",
+  # "human_pose_tracking",
+]
+docs = [
+  # Documentation build dependencies (mkdocs and plugins)
+  "griffe==1.4.1",
+  "griffe-warnings-deprecated==1.1.0",
+  "mkdocs==1.6.1",
+  "mkdocs-gen-files==0.5.0",
+  "mkdocs-literate-nav==0.6.1",
+  "mkdocs-material==9.4.7",
+  "mkdocs-material-extensions==1.3",
+  "mkdocs-redirects @ git+https://github.com/rerun-io/mkdocs-redirects.git@fb6b074554975ba7729d68d04957ce7c7dfd5003",
+  "mkdocstrings==0.26.2",
+  "mkdocstrings-python==1.12.1",
+  "setuptools>75",
+  "sphobjinv==2.3.1",
+]
+
+[tool.uv]
+package = false
+
+[tool.uv.sources]
+rerun-sdk = { workspace = true }
+rerun-notebook = { workspace = true }
+rerun-dev-fixup = { workspace = true }
+# Example packages
+air_traffic_data = { workspace = true }
+arkit_scenes = { workspace = true }
+blueprint = { workspace = true }
+blueprint_stocks = { workspace = true }
+camera_video_stream = { workspace = true }
+clock = { workspace = true }
+controlnet = { workspace = true }
+dataframe_query = { workspace = true }
+detect_and_track_objects = { workspace = true }
+dicom_mri = { workspace = true }
+dna = { workspace = true }
+drone_lidar = { workspace = true }
+# face_tracking = { workspace = true }
+# gesture_detection = { workspace = true }
+graph_lattice = { workspace = true }
+graphs = { workspace = true }
+# human_pose_tracking = { workspace = true }
+imu_signals = { workspace = true }
+incremental_logging = { workspace = true }
+lidar = { workspace = true }
+live_camera_edge_detection = { workspace = true }
+live_scrolling_plot = { workspace = true }
+llm_embedding_ner = { workspace = true }
+log_file = { workspace = true }
+minimal = { workspace = true }
+minimal_options = { workspace = true }
+multiprocess_logging = { workspace = true }
+multithreading = { workspace = true }
+nuscenes_dataset = { workspace = true }
+nv12 = { workspace = true }
+objectron = { workspace = true }
+open_photogrammetry_format = { workspace = true }
+openstreetmap_data = { workspace = true }
+plots = { workspace = true }
+raw_mesh = { workspace = true }
+rgbd = { workspace = true }
+rrt_star = { workspace = true }
+segment_anything_model = { workspace = true }
+server_tables = { workspace = true }
+shared_recording = { workspace = true }
+stdio = { workspace = true }
+structure_from_motion = { workspace = true }
+
+[tool.uv.workspace]
+members = [
+  "rerun_py",
+  "rerun_py/rerun_dev_fixup",
+  "rerun_notebook",
+  # Examples
+  "examples/python/air_traffic_data",
+  "examples/python/arkit_scenes",
+  "examples/python/blueprint",
+  "examples/python/blueprint_stocks",
+  "examples/python/camera_video_stream",
+  "examples/python/clock",
+  "examples/python/controlnet",
+  "examples/python/dataframe_query",
+  "examples/python/depth_guided_stable_diffusion",
+  "examples/python/detect_and_track_objects",
+  "examples/python/dicom_mri",
+  "examples/python/dna",
+  "examples/python/drone_lidar",
+  # "examples/python/face_tracking",
+  # "examples/python/gesture_detection",
+  "examples/python/graph_lattice",
+  "examples/python/graphs",
+  # "examples/python/human_pose_tracking",
+  "examples/python/imu_signals",
+  "examples/python/incremental_logging",
+  "examples/python/lidar",
+  "examples/python/live_camera_edge_detection",
+  # "examples/python/live_depth_sensor",  # Excluded: requires Python <3.11
+  "examples/python/live_scrolling_plot",
+  "examples/python/llm_embedding_ner",
+  "examples/python/log_file",
+  "examples/python/minimal",
+  "examples/python/minimal_options",
+  "examples/python/multiprocess_logging",
+  "examples/python/multithreading",
+  "examples/python/nuscenes_dataset",
+  "examples/python/nv12",
+  "examples/python/objectron",
+  # "examples/python/ocr",  # Excluded: paddleclas has incompatible opencv requirements
+  "examples/python/open_photogrammetry_format",
+  "examples/python/openstreetmap_data",
+  "examples/python/plots",
+  "examples/python/raw_mesh",
+  "examples/python/rgbd",
+  "examples/python/rrt_star",
+  "examples/python/segment_anything_model",
+  "examples/python/server_tables",
+  "examples/python/shared_recording",
+  "examples/python/stdio",
+  "examples/python/structure_from_motion",
+  "examples/python/table_zoo",
+  "examples/python/template",
+]
+
+[tool.ruff]
+src = ["rerun_py", "rerun_py/rerun_sdk", "rerun_notebook"]
+extend-exclude = [
+  "crates",
+  "target",
+  ".venv",
+
+  # Automatically generated test artifacts
+  "target_ra/",
+  "target_wasm/",
+  "target/",
+  "venv/",
+
+  "scripts/ci/compare_path_digest.py",
+
+  # Intentionally uses ''' instead of """ so we can embed it in a docstring in the Python API docs.
+  "docs/snippets/all/archetypes/text_document.py",
+  "docs/snippets/all/views/text_document.py",
+
+  # TODO(#4047): incomplete example snippet
+  "docs/snippets/all/tutorials/timelines_example.py",
+
+  # Intentionally incomplete snippets
+  "docs/snippets/all/concepts/how_helix_was_logged.py",
+  "docs/snippets/all/concepts/static",
+  "docs/snippets/all/tutorials/custom-application-id.py",
+  "docs/snippets/all/tutorials/custom-recording-id.py",
+
+  # generated
+  "examples/python/objectron/objectron/proto/objectron/proto.py",
+
+  # Copied from https://github.com/huggingface/diffusers/blob/fc9fecc217e58d72c0d5796575c72088251ff4df/src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_depth2img.py
+  "examples/python/depth_guided_stable_diffusion/depth_guided_stable_diffusion/huggingface_pipeline.py",
+
+  # Copied from https://github.com/colmap/colmap/blob/bf3e19140f491c3042bfd85b7192ef7d249808ec/scripts/python/read_write_model.py
+  "examples/python/structure_from_motion/structure_from_motion/read_write_model.py",
+]
+
+[tool.ruff.lint.per-file-ignores]
+"docs/snippets/all/*" = [
+  # Missing required import: `from __future__ import annotations`
+  "I002",
+]
+
+"crates/viewer/re_viewer/data/quick_start_guides/*" = [
+  # Missing required import: `from __future__ import annotations`
+  "I002",
+]
+
+"tests/python/*" = [
+  # We don't care about nice APIs in our tests:
+  "PLR0917",
+]
+
+"examples/notebook/notebook_neural_field_2d/neural_field_2d.ipynb" = [
+  # Intentional use of  `σ`
+  "RUF001",
+]
+
+"examples/*" = [
+  # We don't care about nice APIs in our examples:
+  "PLR0917",
+]
+"scripts/*" = [
+  # We don't care about nice APIs in our scripts:
+  "PLR0917",
+]
+
+######################
+# mypy configuration #
+######################
+
+[tool.mypy]
+# Examples and docs are managed independently of the SDK.
+# in ini file adjacent to this.
+files = [
+  "rerun_py/rerun_sdk/rerun",
+  "rerun_py/rerun_bindings",
+  "rerun_py/tests",
+  "rerun_notebook/src/rerun_notebook",
+  "tests/python",
+]
+# These paths allow mypy to find rerun and rerun_bindings without needing
+# to run maturin develop first (which installs the .pth file).
+mypy_path = ["rerun_py", "rerun_py/rerun_sdk"]
+namespace_packages = true
+show_error_codes = true
+strict = true
+enable_error_code = ["redundant-expr", "truthy-bool", "ignore-without-code", "possibly-undefined"]
+ignore_missing_imports = false
+no_implicit_reexport = false
+disallow_untyped_calls = false
+
+[[tool.mypy.overrides]]
+
+module = [
+  "pyarrow.*",
+  # https://github.com/jupyter-widgets/ipywidgets/issues/3688
+  "ipywidgets.*",
+  "anywidget.*",
+  # TODO(nick): is this blocked on above?
+  "jupyter_ui_poll.*",
+  # Ignore imports used in tests but not in the SDK.
+  "torch.*",
+  "torchvision.*",
+  "torchaudio.*",
+  "cv2.*",
+  "huggingface_hub.*",
+]
+ignore_missing_imports = true
+
+[[tool.mypy.overrides]]
+# rerun_draft is a sandbox for testing new APIs - we don't care about strict type checking
+module = ["api_sandbox.rerun_draft.*", "rerun_draft.*"]
+ignore_errors = true
+ignore_missing_imports = true
diff --git a/recompose/.gitignore b/recompose/.gitignore
new file mode 100644
index 000000000000..3fec32c84275
--- /dev/null
+++ b/recompose/.gitignore
@@ -0,0 +1 @@
+tmp/
diff --git a/recompose/PLAN.md b/recompose/PLAN.md
new file mode 100644
index 000000000000..23f86cf7976b
--- /dev/null
+++ b/recompose/PLAN.md
@@ -0,0 +1,178 @@
+# GOALS
+
+-   Implement a new library/helper: `recompose`
+-   Don't break any existing code. Do all of this as a new parallel system next to the current status quo.
+-   Demonstrate some mvp tasks that show `recompose` can be used to replace ALL OF:
+    -   `pixi` tasks
+    -   `scripts/`
+    -   Job-steps in the CI jobs
+
+# Vision
+
+Recompose is a light-weight typed, pythonic, task execution framework.
+It's inspired by tools such as dagger CI and pydoit, but special-tailored to meet
+a particular style of developer workflow.
+
+The end-vision is that recompose is used to define all "tasks" within a project, whether
+they are run in CI, or locally as part of a development workflow.
+
+Architecturally, the goal is that each task should just be a python function with a
+special `@recompose.task` decorator. The intention is that these functions can still be
+imported and used programmatically in a way that is not surprising. However, the decorator
+should unlock a significant amount of additional convenience.
+
+The first primary function of recompose is to allow a user to build a helper application that
+exposes all of the registered tasks as sub-domains. My thought is that the user should be
+responsible for creating the application since this makes packaging and imports explicit.
+
+Exa:
+
+rerun_recompose.py:
+
+```
+#!/usr/bin/env python3
+
+import recompose
+import my_task_package
+import my_other_package
+
+@recompose.task
+def inline_task(*, arg1: str, arg2: int = 42) -> recompose.Result[float]:
+    recompose.dbg(f"This is a debug line!")
+    recompose.out(f"Hello from task {arg1}, {arg2}")
+
+    return recompose.Ok(0.57)
+
+recompose.main()
+```
+
+Then I should be able to do something like
+
+```
+> ./rerun_recompose.py inline_task --arg1="FOO"
+
+▶️ rerun_recompose:inline_task:
+
+Hello from task FOO, 42
+
+🟢 rerun_compose:inline_task SUCCEEDED in 0.05 sec
+-> 0.57
+
+All tasks completed. Full logs in: ~/.recompose/logs/inline_task_2025_12_07_13_34_09.txt
+```
+
+## Additional features
+
+### Helpful context object
+
+There are useful helpers like `recompose.out` which store state in the environment only if the
+task is being executed INSIDE the recompose engine. Otherwise these fallback on a non-recompose
+implementation like print. This means you can mostly use recompose tasks as functions if you want
+to, but when you use them as a task or flow then you get improved behavior.
+
+### Smart Result type
+
+`recompose.Result` encompasses all of the outputs of a task, including status code, captured
+outputs, and structured/typed results. For complex return types users should subclass recompose.Result
+via pydantic.
+
+Results use an immutable factory pattern:
+- `recompose.Ok(value)` - creates a successful result with the given value
+- `recompose.Err(message)` - creates a failure result with an error message
+- `recompose.Result[T]` - the base type for type hints
+
+The `@task` decorator wrapper automatically catches any uncaught exceptions and converts them
+to `Err` results with the exception message and traceback. This means tasks don't need explicit
+try/except blocks unless they want custom error handling.
+
+### Ergonomic primitives
+
+Where appropriate, recompose should offer convenient helpers types that provide additional utility.
+For example a `recompose.Artifact(path: Path)` lets us track when a task produces an artifact,
+in cases where another task might depend on it. This would allow other tasks, or mechanisms like
+auto-github-runners to track additional information and facilitate primitives like upload or download.
+
+### Easy subprocess runner
+
+A very common job for task execution frameworks is calling subprocesses like `uv`, `cargo`, etc.
+`recompose` should come with good built-in tools and primitives making it easy to write these kinds
+of tasks.
+
+### Member-tasks
+
+As an object-oriented language, it's convenient if we can create objects, which have tasks as members
+which when run have access to the context of the object. The signatures for such tasks are more complicated.
+Each member-task should also include the CLI arguments for the base `__init__` task.
+
+```
+PROJ_BASE = recompose.root() / 'pyproject.toml'
+
+class Venv:
+    location: Path
+
+    @recompose.task
+    def __init__(location: Path, proj = PROJ_BASE, clean: bool = False):
+        # Bootstrap the uv environment
+
+    @recompose.task
+    def sync(self, group = None, package: str = None) -> recompose.Result[Venv]:
+        # Run uv sync with the right args
+
+        return recompose.Ok(self)
+
+    @recompose.task
+    def install(self, wheel: recompose.Artifact) -> recompose.Result[Venv]
+        # Install the provided wheel
+
+        return recompose.Ok(self)
+
+    @recompose.task
+    def run(self, wheel: recompose.Artifact) -> recompose.Result[Venv]
+        # Install the provided wheel
+
+        return recompose.Ok(self)
+```
+
+### Task-dependencies via "Flows"
+
+While tasks make up composable units that are sometimes useful on their, own, often times we want
+to compose flows of several tasks. Flows LOOK like we're just writing a program but they are actually
+executed at construction time. This is why they can only take `recompose.Input`-based arguments, and
+should internally only execute tasks. When dispatched within the load-time flow, the task decorator
+should do the right thing and only operate based on Input/Result signature place-holders to evaluate
+the graph. Flows should run each task via `subprocess`. We should be clever in how we pass input/output
+between tasks here. If this is all defined cleanly, we should be able to map this to a sequential
+execution of tasks via ANY runner. This means a flow could be used to, for example, render a bash
+script (or github actions workflow). Each step in the script invokes the task (using the top-level
+recompose entrypoint). To make this convenient we probably need to have alternative dispatch mechanisms.
+For example, the result object could be written into a temp object in a similar fashion to how GITHUB_OUTPUT
+works.
+
+```
+
+@recompose.flow
+def test_wheel(location: recompose.Input[Path] = recompose.temp_dir())
+    wheel = py_build_wheel()
+
+    venv = create_test_env(location=location)
+
+    venv.install(wheel)
+
+    py_test(venv=venv)
+```
+
+### Flow-generate github actions
+
+The last killer feature we really want is the ability to use recompose flows to generate
+github action using the flow spec. Each task in the flow maps directly to a step within the github
+workflow. We probably need 1 or 2 place-holder tasks that are only relevant to github to correspond
+to actions like setup-pixi or setup-rust. These could be skipped when running flows locally but
+would allow the flow to properly render the workflows.
+
+It would be super helpful if recompose then included a CLI tool (built on top of github CLI) to
+find and inspect the flows that it knows about and map their status all the way back to a the
+representation used to show the results of a local run of a flow.
+
+Lastly we probably need a way to handle "secrets" and "env-vars" for local runs. It seems totally
+reasonable to have a local config file that handles this. This means a flow / task could
+specify it depends on those config values existing and fail early if they aren't set up.
diff --git a/recompose/README.md b/recompose/README.md
new file mode 100644
index 000000000000..74fed5b2271d
--- /dev/null
+++ b/recompose/README.md
@@ -0,0 +1,29 @@
+# Recompose
+
+A lightweight, typed, pythonic task execution framework.
+
+## Installation
+
+```bash
+uv add recompose
+```
+
+## Basic Usage
+
+```python
+import recompose
+
+@recompose.task
+def greet(*, name: str) -> recompose.Result[str]:
+    recompose.out(f"Hello, {name}!")
+    return recompose.Ok(f"greeted {name}")
+
+# Call directly as a function:
+result = greet(name="World")
+assert result.ok
+print(result.value)  # "greeted World"
+```
+
+## Development
+
+See `PLAN.md` for the full vision and `WORK.md` for current progress.
diff --git a/recompose/WORK.md b/recompose/WORK.md
new file mode 100644
index 000000000000..41a642425f40
--- /dev/null
+++ b/recompose/WORK.md
@@ -0,0 +1,192 @@
+# NOW
+
+No active project - ready for next task.
+
+---
+
+**P16: Unified Task Output System** - COMPLETE
+
+See `proj/P16_unified_output_DONE.md` for full details.
+
+## Summary
+
+Created unified `OutputManager` class for all output formatting:
+- Tree-style hierarchy for nested tasks and automations
+- Rich console colors and consistent styling
+- GHA detection with `::group::` markers
+- Proper symbols: `▼`, `├─▶`, `└─▶`, `⊕─┬─▶`, `✓`, `✗`
+- Recursive capture-and-prefix model: each task captures child output and applies prefixes
+- Color styling separated: cyan for tree chars, green for ✓, red for ✗
+
+**Files modified:**
+- `src/recompose/output.py` - OutputManager, prefix_task_output, print_task_output_styled
+- `src/recompose/task.py` - Uses recursive capture model for nested tasks
+- `src/recompose/local_executor.py` - Uses OutputManager for automations
+
+**Test results:** 234 tests pass, ruff clean
+
+---
+
+**P15: Cleanup & Local Automation Execution** - COMPLETE
+
+See `proj/P15_cleanup_and_local_exec_DONE.md` for full plan.
+
+## Phase 2 COMPLETE: Local Automation Execution
+
+Implemented local execution of automations - run `./run ci` to execute automations locally:
+
+- **LocalExecutor** (`local_executor.py`):
+  - `LocalExecutor` class for executing automations as subprocesses
+  - `topological_sort()` for ordering jobs by dependencies
+  - `_execute_job()` runs tasks via CLI (`./run task-name --arg=value`)
+  - Job outputs captured via temp GITHUB_OUTPUT files
+  - Output passing between jobs via resolved `JobOutputRef`
+
+- **CLI Integration** (`cli.py`):
+  - `_build_automation_command()` creates Click commands for automations
+  - `_add_automation_to_cli()` registers automations in "Automations" group
+  - Automations appear in `./run --help` under "Automations" section
+  - Common options: `--dry-run`, `--verbose`
+  - InputParam values become CLI arguments
+
+- **New exports** (`__init__.py`):
+  - `LocalExecutor` - class for programmatic execution
+  - `execute_automation()` - convenience function
+  - `AutomationResult`, `JobResult` - result types
+
+**Usage:**
+```bash
+# Run automation locally
+./run ci
+
+# Dry run (show what would execute)
+./run ci --dry-run
+
+# Verbose output
+./run ci --verbose
+
+# With input parameters (for automations with InputParam)
+./run deploy --environment=prod
+```
+
+**Test results:** 234 tests pass (25 new), ruff clean
+
+## Phase 1 COMPLETE: API Cleanup
+
+Simplified and unified the dispatchable/automation API:
+
+- **Renamed `python_cmd` to `cli_command`** (default: `"./run"`)
+  - Updated `App` class, `context.py`, `cli.py`
+  - Better reflects actual usage (entry point, not Python command)
+
+- **Unified dispatchables into automations**
+  - `make_dispatchable(task)` now returns `AutomationWrapper` (was `Dispatchable`)
+  - Removed `dispatchables=` parameter from `App` - use `automations=` instead
+  - Dispatchables are just automations with `workflow_dispatch` trigger
+  - Removed `get_dispatchables()` from context (no longer needed)
+  - `generate_gha` only uses `render_automation_jobs()` now
+
+- **Simplified workflow naming**
+  - All workflows named `recompose_<name>.yml` (was split by type)
+
+**Example migration:**
+```python
+# Before:
+app = App(
+    python_cmd="uv run python",
+    automations=[ci],
+    dispatchables=[lint_workflow, test_workflow],
+)
+
+# After:
+app = App(
+    cli_command="./run",
+    automations=[ci, lint_workflow, test_workflow],
+)
+```
+
+**Test results:** 209 tests pass, ruff clean
+
+---
+
+**P14_architectural_pivot** - COMPLETE. All 7 phases done.
+
+See `proj/P14_architectural_pivot_DONE.md` for full design.
+
+**Key changes:**
+- Tasks map to GHA **jobs** (not steps) - each job runs one task via CLI
+- `@flow` removed - tasks calling tasks is just Python, no graph building
+- `@taskclass` removed - no class-state sync across GHA jobs
+- `@automation` orchestrates multi-job workflows with inferred `needs:`
+- Artifacts, secrets, outputs, setup declared in `@task` decorator
+- Generated workflow steps use app's entry_point (copy-paste runnable locally)
+
+**Backup branch:** `jleibs/recompose-backup-flows-as-steps` preserves old approach.
+
+# UPCOMING
+
+(Determine next priorities based on project needs)
+
+# DEFERRED
+
+(Empty - no deferred items)
+
+# RECENTLY COMPLETED
+
+- P16: Unified Task Output System - colored tree output for tasks and automations
+- P15 Phase 2: Local Automation Execution - `./run ci` now works
+- P15 Phase 1: API Cleanup - unified dispatchables/automations, renamed cli_command
+- P14 Phase 7: Migration & Polish - examples migrated, generate_gha updated
+- P14 Phase 6: Cleanup old code (flow, taskclass, etc.)
+- P14 Phases 1-5: Full P14 implementation
+
+Previous work preserved in `jleibs/recompose-backup-flows-as-steps`:
+- P01-P13: Foundation through TaskClass in flows
+- Full flow-as-steps model with subprocess isolation
+- GHA generation for flows → single-job workflows
+
+# ARCHITECTURE DECISIONS
+
+## New Hierarchy (P14)
+
+- **Task** - Single unit of work, maps to one GHA job
+- **Automation** - Orchestrates tasks as multi-job workflow with `needs:`
+- **Dispatchable** - Wrapper to make a task workflow_dispatch triggerable
+
+## Key Principles
+
+1. **What you see is what you run** - Generated steps use actual CLI commands
+2. **Explicit over magic** - `.job()` calls explicit, dependencies from references
+3. **Validate at construction** - Automations validate during decoration
+4. **String outputs for GHA** - Embrace GitHub's string-based job outputs
+
+## Task Decorator Parameters
+
+| Parameter | Purpose |
+|-----------|---------|
+| `outputs` | String outputs (to GITHUB_OUTPUT) |
+| `artifacts` | File artifacts (upload/download) |
+| `secrets` | Required secrets (from GHA or local file) |
+| `setup` | Override default GHA setup steps |
+
+## Automation/Job Types (Phase 2)
+
+| Type | Purpose |
+|------|---------|
+| `JobSpec` | Represents a job in an automation |
+| `JobOutputRef` | Reference to a job's output (creates dependency) |
+| `ArtifactRef` | Reference to a job's artifact (creates dependency) |
+| `InputParam[T]` | Automation input parameter (→ workflow_dispatch input) |
+| `Artifact` | Type hint for artifact inputs to tasks |
+| `ConditionExpr` | Job condition expression |
+| `Trigger` | Workflow trigger (on_push, etc.) |
+
+## Workflow Generation (Phase 4)
+
+| Component | Purpose |
+|-----------|---------|
+| `render_automation_jobs()` | Main function to generate WorkflowSpec from automation |
+| `render_dispatchable()` | Generate WorkflowSpec from dispatchable |
+| `GHAJobSpec` | Represents a GHA job with needs, outputs, if, matrix |
+| `SetupStep` | Represents a setup step (checkout, setup-python, etc.) |
+| `DEFAULT_SETUP_STEPS` | Default setup: checkout + python 3.12 + uv |
diff --git a/recompose/examples/README.md b/recompose/examples/README.md
new file mode 100644
index 000000000000..4a8946cac3a4
--- /dev/null
+++ b/recompose/examples/README.md
@@ -0,0 +1,269 @@
+# Recompose Examples
+
+This directory contains both tutorials for learning recompose and real tasks
+used in the recompose project's own CI/development workflow.
+
+## Quick Start
+
+```bash
+cd recompose
+
+# See all available tasks
+./run --help
+
+# Run individual tasks
+./run lint
+./run test
+
+# Run the CI flow
+./run ci
+
+# Inspect a flow without running it
+./run inspect ci
+```
+
+## Directory Structure
+
+```
+recompose/
+├── run                     # Entry point script
+└── examples/
+    ├── __init__.py         # Package marker
+    ├── app.py              # Main app (use via ./run)
+    ├── README.md           # This file
+    │
+    ├── tutorial/           # Learning recompose (start here!)
+    │   ├── intro_tasks.py      # 1. Basic tasks, Results, subprocess
+    │   ├── intro_taskclass.py  # 2. Task classes for grouped operations
+    │   └── intro_flows.py      # 3. Composing tasks into flows
+    │
+    ├── tasks/              # Real tasks for recompose project
+    │   ├── __init__.py
+    │   ├── lint.py             # lint, format_check, format
+    │   └── test.py             # test
+    │
+    └── flows/              # Real flows for CI
+        ├── __init__.py
+        ├── ci.py               # CI pipeline flow
+        └── wheel_test.py       # Wheel build & test flows
+```
+
+## Tutorial: Learning Recompose
+
+Work through the tutorials in order. Each builds on the previous one.
+
+### 1. Tasks (`tutorial/intro_tasks.py`)
+
+Learn the fundamentals:
+- **`@task` decorator** - Turn functions into tasks
+- **`Result[T]`** - Return `Ok(value)` or `Err(message)`
+- **CLI generation** - Function parameters become CLI options
+- **`recompose.out()`** - Output to console
+- **`recompose.run()`** - Execute subprocesses
+
+```bash
+# Run the tutorial (tutorials are standalone scripts)
+uv run python -m examples.tutorial.intro_tasks --help
+
+# Try individual tasks
+uv run python -m examples.tutorial.intro_tasks hello
+uv run python -m examples.tutorial.intro_tasks greet --name="Alice"
+uv run python -m examples.tutorial.intro_tasks check_tool --tool=git
+uv run python -m examples.tutorial.intro_tasks divide --a=10 --b=2
+uv run python -m examples.tutorial.intro_tasks divide --a=10 --b=0  # Error case
+```
+
+### 2. Task Classes (`tutorial/intro_taskclass.py`)
+
+Learn to group related tasks:
+- **`@taskclass` decorator** - Create task groups
+- **Shared configuration** - Constructor args become shared CLI options
+- **Member tasks** - Methods become sub-commands
+
+```bash
+# Run the tutorial
+uv run python -m examples.tutorial.intro_taskclass --help
+
+# Try the Counter taskclass
+uv run python -m examples.tutorial.intro_taskclass counter.increment --start=10 --by=5
+uv run python -m examples.tutorial.intro_taskclass counter.show --start=42
+
+# Try the FileOps taskclass
+uv run python -m examples.tutorial.intro_taskclass fileops.list --directory=/tmp
+uv run python -m examples.tutorial.intro_taskclass fileops.count --directory=/tmp
+```
+
+### 3. Flows (`tutorial/intro_flows.py`)
+
+Learn to compose tasks:
+- **`@flow` decorator** - Define task pipelines
+- **`.flow()` method** - Wire tasks together
+- **Data dependencies** - Pass results between tasks
+- **`inspect` command** - View flow structure without running
+
+```bash
+# Run the tutorial
+uv run python -m examples.tutorial.intro_flows --help
+
+# Run flows
+uv run python -m examples.tutorial.intro_flows tool_check
+uv run python -m examples.tutorial.intro_flows greeting_pipeline --name="Alice"
+uv run python -m examples.tutorial.intro_flows math_pipeline --a=20 --b=4
+
+# Inspect flows without running
+uv run python -m examples.tutorial.intro_flows inspect tool_check
+uv run python -m examples.tutorial.intro_flows inspect math_pipeline
+```
+
+## Real Tasks
+
+The `tasks/` directory contains the actual development workflow tasks.
+
+### Lint Tasks (`tasks/lint.py`)
+
+| Task | Description | Used In CI? |
+|------|-------------|-------------|
+| `lint` | Run ruff linter | Yes |
+| `format_check` | Check formatting | Yes |
+| `format` | Apply formatting fixes | No (local only) |
+
+```bash
+./run lint
+./run format_check
+./run format  # Modifies files!
+```
+
+### Test Tasks (`tasks/test.py`)
+
+| Task | Description | Used In CI? |
+|------|-------------|-------------|
+| `test` | Run pytest suite | Yes |
+
+```bash
+./run test
+./run test --verbose
+./run test --coverage
+```
+
+## Real Flows
+
+The `flows/` directory contains CI pipeline definitions.
+
+### CI Flow (`flows/ci.py`)
+
+The `ci` flow runs the full CI pipeline:
+1. `lint` - Check for code quality issues
+2. `format_check` - Verify code formatting
+3. `test` - Run the test suite
+
+```bash
+# Run the full CI pipeline
+./run ci
+
+# Inspect the CI flow
+./run inspect --target=ci
+```
+
+### Wheel Test Flows (`flows/wheel_test.py`)
+
+These flows validate the package can be built and installed:
+
+| Flow | Description |
+|------|-------------|
+| `wheel_smoke_test` | Build wheel, install in fresh venv, run smoke tests |
+| `wheel_full_test` | Build wheel, install in fresh venv, run full test suite |
+
+```bash
+# Quick validation
+./run wheel_smoke_test
+
+# Full validation
+./run wheel_full_test
+
+# Inspect the flows
+./run inspect --target=wheel_smoke_test
+```
+
+## Flow Design Constraints
+
+**Flows must have a STATIC task graph.** This is critical because flows can be
+rendered as GitHub Actions workflows, where each task becomes a workflow step.
+
+### What This Means
+
+The task graph is built when the flow function body executes. Flow parameters
+are NOT evaluated at this time - they're placeholders. This means:
+
+```python
+# WRONG - Conditional logic based on flow parameter
+@recompose.flow
+def my_flow(*, full_tests: bool = False) -> None:
+    build.flow()
+    if full_tests:  # ERROR! full_tests is a placeholder, not a bool
+        test_all.flow()
+    else:
+        test_smoke.flow()
+
+# RIGHT - Separate flows for different behaviors
+@recompose.flow
+def smoke_test_flow() -> None:
+    build.flow()
+    test_smoke.flow()
+
+@recompose.flow
+def full_test_flow() -> None:
+    build.flow()
+    test_all.flow()
+
+# ALSO RIGHT - Conditional logic inside a task
+@recompose.task
+def run_tests(*, full: bool = False) -> recompose.Result[None]:
+    if full:
+        # run full tests
+    else:
+        # run smoke tests
+
+@recompose.flow
+def test_flow(*, full: bool = False) -> None:
+    build.flow()
+    run_tests.flow(full=full)  # full is passed to task, evaluated at runtime
+```
+
+### Valid Uses of Flow Parameters
+
+Flow parameters CAN be passed to tasks - they're resolved at runtime:
+
+```python
+@recompose.flow
+def build_flow(*, repo: str, branch: str = "main") -> None:
+    # Parameters can be passed to tasks
+    clone.flow(repo=repo, branch=branch)
+    build.flow()
+```
+
+### Invalid Uses of Flow Parameters
+
+Flow parameters CANNOT be used in Python control flow:
+
+- `if param:` - boolean evaluation
+- `param == "value"` - comparison
+- `for x in param:` - iteration
+- `len(param)` - attribute/method access
+
+Attempting to do so will raise a `TypeError` with guidance on how to fix.
+
+## Core Concepts Summary
+
+| Concept | Decorator | Purpose |
+|---------|-----------|---------|
+| Task | `@recompose.task` | Single unit of work |
+| Task Class | `@recompose.taskclass` | Group of related tasks |
+| Flow | `@recompose.flow` | Pipeline of tasks (static graph) |
+
+| Helper | Purpose |
+|--------|---------|
+| `recompose.Ok(value)` | Create success result |
+| `recompose.Err(message)` | Create failure result |
+| `recompose.out(text)` | Print to console |
+| `recompose.dbg(text)` | Debug output (with --debug) |
+| `recompose.run(*args)` | Execute subprocess |
diff --git a/recompose/examples/__init__.py b/recompose/examples/__init__.py
new file mode 100644
index 000000000000..7f119f91af00
--- /dev/null
+++ b/recompose/examples/__init__.py
@@ -0,0 +1 @@
+"""Recompose examples package."""
diff --git a/recompose/examples/app.py b/recompose/examples/app.py
new file mode 100644
index 000000000000..c0104a1b1683
--- /dev/null
+++ b/recompose/examples/app.py
@@ -0,0 +1,84 @@
+#!/usr/bin/env python3
+"""
+Recompose unified entrypoint.
+
+This app combines all tasks and automations for the recompose project.
+It serves as THE way to run recompose tasks for both development and CI.
+
+Usage:
+    ./run --help
+    ./run lint
+    ./run format-code
+    ./run test
+
+Inspect automations:
+    ./run inspect --target=ci
+
+Generate GHA workflows:
+    ./run generate-gha
+"""
+
+import recompose
+
+from .automations import ci
+from .tasks import (
+    build_wheel,
+    format_check,
+    format_code,
+    level_1,
+    lint,
+    lint_all,
+    test,
+)
+
+# Create dispatchable automations for tasks that can be manually triggered in GHA
+# make_dispatchable creates an automation with workflow_dispatch trigger
+lint_workflow = recompose.make_dispatchable(lint)
+test_workflow = recompose.make_dispatchable(
+    test,
+    inputs={
+        "verbose": recompose.BoolInput(default=False, description="Show verbose output"),
+        "coverage": recompose.BoolInput(default=False, description="Enable coverage reporting"),
+    },
+)
+
+# Create the app at module level so subprocess isolation can access it
+app = recompose.App(
+    cli_command="./run",
+    working_directory="recompose",
+    commands=[
+        recompose.CommandGroup(
+            "Quality",
+            [
+                lint,
+                lint_all,
+                format_check,
+                format_code,
+            ],
+        ),
+        recompose.CommandGroup(
+            "Testing",
+            [
+                test,
+            ],
+        ),
+        recompose.CommandGroup(
+            "Build",
+            [
+                build_wheel,
+            ],
+        ),
+        recompose.CommandGroup(
+            "Demo",
+            [
+                level_1,
+            ],
+        ),
+        recompose.builtin_commands(),
+    ],
+    # Automations include both multi-job automations and dispatchables
+    automations=[ci, lint_workflow, test_workflow],
+)
+
+if __name__ == "__main__":
+    app.main()
diff --git a/recompose/examples/automations/__init__.py b/recompose/examples/automations/__init__.py
new file mode 100644
index 000000000000..cd7cbda42a82
--- /dev/null
+++ b/recompose/examples/automations/__init__.py
@@ -0,0 +1,5 @@
+"""Automations for the recompose project."""
+
+from .ci import ci
+
+__all__ = ["ci"]
diff --git a/recompose/examples/automations/ci.py b/recompose/examples/automations/ci.py
new file mode 100644
index 000000000000..87cf4f1986c1
--- /dev/null
+++ b/recompose/examples/automations/ci.py
@@ -0,0 +1,23 @@
+"""
+CI automation for the recompose project.
+
+This automation orchestrates the CI pipeline as a multi-job GHA workflow.
+"""
+
+import recompose
+
+from ..tasks import lint_all, test
+
+
+@recompose.automation(
+    trigger=recompose.on_push(branches=["main", "jleibs/recompose"]) | recompose.on_pull_request(),
+)
+def ci() -> None:
+    """
+    CI pipeline: lint_all and test in parallel.
+
+    lint_all combines ruff, mypy, format check, and GHA sync check
+    into a single job to reduce container startup overhead.
+    """
+    recompose.job(lint_all)
+    recompose.job(test)
diff --git a/recompose/examples/tasks/__init__.py b/recompose/examples/tasks/__init__.py
new file mode 100644
index 000000000000..f737d27be130
--- /dev/null
+++ b/recompose/examples/tasks/__init__.py
@@ -0,0 +1,34 @@
+"""Real tasks for the recompose project."""
+
+from .build import (
+    build_wheel,
+    create_test_venv,
+    install_wheel,
+    smoke_test,
+    test_installed,
+)
+from .lint import format_check, format_code, lint, lint_all
+from .nested_demo import level_1, level_2a, level_2b, level_3a, level_3b
+from .test import test
+
+__all__ = [
+    # Lint & format
+    "lint",
+    "lint_all",
+    "format_check",
+    "format_code",
+    # Test
+    "test",
+    # Build & distribution
+    "build_wheel",
+    "create_test_venv",
+    "install_wheel",
+    "smoke_test",
+    "test_installed",
+    # Nested demo
+    "level_1",
+    "level_2a",
+    "level_2b",
+    "level_3a",
+    "level_3b",
+]
diff --git a/recompose/examples/tasks/build.py b/recompose/examples/tasks/build.py
new file mode 100644
index 000000000000..d5841ac07821
--- /dev/null
+++ b/recompose/examples/tasks/build.py
@@ -0,0 +1,228 @@
+"""
+Build and distribution tasks for the recompose project.
+
+These tasks handle building wheels, creating test environments,
+and validating that the installed package works correctly.
+"""
+
+import shutil
+import tempfile
+from pathlib import Path
+
+import recompose
+
+# Project root is two levels up from tasks/
+PROJECT_ROOT = Path(__file__).parent.parent.parent
+
+
+@recompose.task
+def build_wheel(*, output_dir: str | None = None) -> recompose.Result[str]:
+    """
+    Build a wheel distribution of the recompose package.
+
+    Args:
+        output_dir: Directory to place the wheel. Defaults to dist/ in project root.
+
+    Returns:
+        Path to the built wheel file as a string.
+
+    """
+    if output_dir is None:
+        dist_dir = PROJECT_ROOT / "dist"
+    else:
+        dist_dir = Path(output_dir)
+
+    # Clean the output directory
+    if dist_dir.exists():
+        recompose.out(f"Cleaning {dist_dir}...")
+        shutil.rmtree(dist_dir)
+
+    recompose.out(f"Building wheel to {dist_dir}...")
+
+    result = recompose.run(
+        "uv",
+        "build",
+        "--wheel",
+        "--out-dir",
+        str(dist_dir),
+        cwd=PROJECT_ROOT,
+    )
+
+    if result.failed:
+        return recompose.Err(f"Build failed with exit code {result.returncode}")
+
+    # Find the built wheel
+    wheels = list(dist_dir.glob("*.whl"))
+    if not wheels:
+        return recompose.Err(f"No wheel found in {dist_dir}")
+
+    if len(wheels) > 1:
+        return recompose.Err(f"Multiple wheels found in {dist_dir}: {wheels}")
+
+    wheel_path = wheels[0]
+    recompose.out(f"Built: {wheel_path.name}")
+    return recompose.Ok(str(wheel_path))
+
+
+@recompose.task
+def create_test_venv(*, location: str | None = None) -> recompose.Result[str]:
+    """
+    Create an isolated virtual environment for testing.
+
+    Args:
+        location: Path for the venv. If None, creates a temp directory.
+
+    Returns:
+        Path to the created venv as a string.
+
+    """
+    if location is None:
+        # Create a temp directory that persists until explicitly cleaned
+        venv_path = Path(tempfile.mkdtemp(prefix="recompose_test_"))
+    else:
+        venv_path = Path(location)
+        if venv_path.exists():
+            recompose.out(f"Cleaning existing venv at {venv_path}...")
+            shutil.rmtree(venv_path)
+
+    recompose.out(f"Creating test venv at {venv_path}...")
+
+    result = recompose.run(
+        "uv",
+        "venv",
+        str(venv_path),
+        "--python",
+        "3.12",
+    )
+
+    if result.failed:
+        return recompose.Err(f"Failed to create venv: {result.returncode}")
+
+    recompose.out(f"Created venv: {venv_path}")
+    return recompose.Ok(str(venv_path))
+
+
+@recompose.task
+def install_wheel(*, wheel: str, venv: str, with_test_deps: bool = True) -> recompose.Result[None]:
+    """
+    Install a wheel into a virtual environment.
+
+    Args:
+        wheel: Path to the wheel file to install.
+        venv: Path to the virtual environment.
+        with_test_deps: Also install pytest for running tests.
+
+    """
+    wheel_path = Path(wheel)
+    venv_path = Path(venv)
+    python = venv_path / "bin" / "python"
+
+    if not wheel_path.exists():
+        return recompose.Err(f"Wheel not found: {wheel_path}")
+
+    if not python.exists():
+        return recompose.Err(f"Venv python not found: {python}")
+
+    recompose.out(f"Installing {wheel_path.name} into {venv_path.name}...")
+
+    result = recompose.run(
+        "uv",
+        "pip",
+        "install",
+        str(wheel_path),
+        "--python",
+        str(python),
+    )
+
+    if result.failed:
+        return recompose.Err(f"Installation failed: {result.returncode}")
+
+    if with_test_deps:
+        recompose.out("Installing test dependencies (pytest)...")
+        result = recompose.run(
+            "uv",
+            "pip",
+            "install",
+            "pytest",
+            "--python",
+            str(python),
+        )
+        if result.failed:
+            return recompose.Err(f"Test deps installation failed: {result.returncode}")
+
+    recompose.out("Installation complete!")
+    return recompose.Ok(None)
+
+
+@recompose.task
+def smoke_test(*, venv: str) -> recompose.Result[None]:
+    """
+    Run a quick smoke test on the installed package.
+
+    Runs examples/tasks/smoke_test.py using the venv's python
+    to verify basic import and functionality.
+
+    Args:
+        venv: Path to the virtual environment with recompose installed.
+
+    """
+    venv_path = Path(venv)
+    python = venv_path / "bin" / "python"
+    smoke_test_script = Path(__file__).parent / "smoke_test.py"
+
+    if not python.exists():
+        return recompose.Err(f"Python not found in venv: {python}")
+
+    if not smoke_test_script.exists():
+        return recompose.Err(f"Smoke test script not found: {smoke_test_script}")
+
+    recompose.out("Running smoke test...")
+
+    result = recompose.run(
+        str(python),
+        str(smoke_test_script),
+    )
+
+    if result.failed:
+        return recompose.Err(f"Smoke test failed: {result.returncode}")
+
+    recompose.out("Smoke test passed!")
+    return recompose.Ok(None)
+
+
+@recompose.task
+def test_installed(*, venv: str, verbose: bool = False) -> recompose.Result[None]:
+    """
+    Run the full test suite against the installed package.
+
+    Uses the venv's python to run pytest, ensuring tests run against
+    the installed package rather than source.
+
+    Args:
+        venv: Path to the virtual environment with recompose installed.
+        verbose: Show verbose test output.
+
+    """
+    venv_path = Path(venv)
+    python = venv_path / "bin" / "python"
+    tests_dir = PROJECT_ROOT / "tests"
+
+    if not python.exists():
+        return recompose.Err(f"Python not found in venv: {python}")
+
+    if not tests_dir.exists():
+        return recompose.Err(f"Tests directory not found: {tests_dir}")
+
+    recompose.out(f"Running tests from {tests_dir} using installed package...")
+
+    args = [str(python), "-m", "pytest", str(tests_dir)]
+    if verbose:
+        args.append("-v")
+
+    result = recompose.run(*args)
+
+    if result.failed:
+        return recompose.Err(f"Tests failed: {result.returncode}")
+
+    recompose.out("All tests passed against installed package!")
+    return recompose.Ok(None)
diff --git a/recompose/examples/tasks/lint.py b/recompose/examples/tasks/lint.py
new file mode 100644
index 000000000000..77cd2b31f74b
--- /dev/null
+++ b/recompose/examples/tasks/lint.py
@@ -0,0 +1,141 @@
+"""
+Lint and formatting tasks for the recompose project.
+
+These are real tasks used in CI and development workflows.
+"""
+
+from pathlib import Path
+
+import recompose
+
+# Project root is two levels up from tasks/
+PROJECT_ROOT = Path(__file__).parent.parent.parent
+
+
+@recompose.task
+def lint() -> recompose.Result[None]:
+    """
+    Run linters (ruff + mypy) on the codebase.
+
+    Checks for code quality and type issues without modifying files.
+    Used in CI to catch lint errors.
+    """
+    # Run ruff check
+    recompose.out("Running ruff check...")
+    result = recompose.run(
+        "uv",
+        "run",
+        "ruff",
+        "check",
+        "src/",
+        "tests/",
+        "examples/",
+        cwd=PROJECT_ROOT,
+    )
+    if result.failed:
+        return recompose.Err(f"Ruff check failed with exit code {result.returncode}")
+    recompose.out("Ruff check passed!")
+
+    # Run mypy type check
+    recompose.out("Running mypy...")
+    result = recompose.run(
+        "uv",
+        "run",
+        "mypy",
+        ".",
+        cwd=PROJECT_ROOT,
+    )
+    if result.failed:
+        return recompose.Err(f"Mypy failed with exit code {result.returncode}")
+    recompose.out("Mypy passed!")
+
+    recompose.out("All checks passed!")
+    return recompose.Ok(None)
+
+
+@recompose.task
+def format_check() -> recompose.Result[None]:
+    """
+    Check code formatting without modifying files.
+
+    Used in CI to verify code is properly formatted.
+    Run `format_code` to apply fixes.
+    """
+    recompose.out("Checking code formatting...")
+
+    result = recompose.run(
+        "uv",
+        "run",
+        "ruff",
+        "format",
+        "--check",
+        "src/",
+        "tests/",
+        "examples/",
+        cwd=PROJECT_ROOT,
+    )
+
+    if result.failed:
+        return recompose.Err("Formatting check failed - run 'format' to fix")
+
+    recompose.out("Formatting check passed!")
+    return recompose.Ok(None)
+
+
+@recompose.task
+def format_code() -> recompose.Result[None]:
+    """
+    Apply code formatting fixes.
+
+    This modifies files in place. Use for local development only,
+    not in CI (CI should use format_check instead).
+    """
+    recompose.out("Applying code formatting...")
+
+    result = recompose.run(
+        "uv",
+        "run",
+        "ruff",
+        "format",
+        "src/",
+        "tests/",
+        "examples/",
+        cwd=PROJECT_ROOT,
+    )
+
+    if result.failed:
+        return recompose.Err(f"Formatting failed with exit code {result.returncode}")
+
+    recompose.out("Formatting complete!")
+    return recompose.Ok(None)
+
+
+@recompose.task
+def lint_all() -> recompose.Result[None]:
+    """
+    Run all lint checks: ruff, mypy, formatting, and GHA workflow sync.
+
+    This is used in CI to run all static checks in a single job,
+    reducing container startup overhead.
+    """
+    from recompose.builtin_tasks import generate_gha
+
+    recompose.out("Running all lint checks...")
+
+    # Run linters (ruff + mypy)
+    result = lint()
+    if result.failed:
+        return result
+
+    # Check formatting
+    result = format_check()
+    if result.failed:
+        return result
+
+    # Check GHA workflows are in sync
+    gha_result = generate_gha(check_only=True)
+    if gha_result.failed:
+        return recompose.Err("GHA workflows out of sync - run './run generate-gha' to update")
+
+    recompose.out("All lint checks passed!")
+    return recompose.Ok(None)
diff --git a/recompose/examples/tasks/nested_demo.py b/recompose/examples/tasks/nested_demo.py
new file mode 100644
index 000000000000..c24ddd50e3fa
--- /dev/null
+++ b/recompose/examples/tasks/nested_demo.py
@@ -0,0 +1,65 @@
+"""
+Demo of deeply nested tasks to test output formatting.
+
+This creates a 3-level nesting structure to verify the tree output looks correct.
+"""
+
+import recompose
+
+
+@recompose.task
+def level_3a() -> recompose.Result[None]:
+    """Deepest level task A."""
+    recompose.out("Doing level 3a work...")
+    recompose.out("Level 3a complete!")
+    return recompose.Ok(None)
+
+
+@recompose.task
+def level_3b() -> recompose.Result[None]:
+    """Deepest level task B."""
+    recompose.out("Doing level 3b work...")
+    recompose.out("Level 3b complete!")
+    return recompose.Ok(None)
+
+
+@recompose.task
+def level_2a() -> recompose.Result[None]:
+    """Middle level task A - calls level 3 tasks."""
+    recompose.out("Starting level 2a...")
+
+    result = level_3a()
+    if result.failed:
+        return result
+
+    result = level_3b()
+    if result.failed:
+        return result
+
+    recompose.out("Level 2a complete!")
+    return recompose.Ok(None)
+
+
+@recompose.task
+def level_2b() -> recompose.Result[None]:
+    """Middle level task B - no subtasks."""
+    recompose.out("Doing level 2b work...")
+    recompose.out("Level 2b complete!")
+    return recompose.Ok(None)
+
+
+@recompose.task
+def level_1() -> recompose.Result[None]:
+    """Top level task - calls level 2 tasks."""
+    recompose.out("Starting nested demo...")
+
+    result = level_2a()
+    if result.failed:
+        return result
+
+    result = level_2b()
+    if result.failed:
+        return result
+
+    recompose.out("All nested tasks complete!")
+    return recompose.Ok(None)
diff --git a/recompose/examples/tasks/smoke_test.py b/recompose/examples/tasks/smoke_test.py
new file mode 100644
index 000000000000..e92e49edd006
--- /dev/null
+++ b/recompose/examples/tasks/smoke_test.py
@@ -0,0 +1,81 @@
+#!/usr/bin/env python3
+"""
+Smoke test for the recompose package.
+
+This script verifies that a recompose installation works correctly.
+It's designed to be run against an installed package (not source)
+to catch packaging issues.
+
+Run directly: python smoke_test.py
+Or via task: ./run smoke_test --venv=/path/to/venv
+"""
+
+import sys
+
+
+def main() -> int:
+    """Run smoke tests and return exit code."""
+    print("Running recompose smoke tests...")
+
+    # Test 1: Basic import
+    print("  [1/5] Testing import...")
+    try:
+        import recompose
+    except ImportError as e:
+        print(f"  FAIL: Could not import recompose: {e}")
+        return 1
+    print(f"        recompose version: {recompose.__version__}")
+
+    # Test 2: Result types
+    print("  [2/5] Testing Result types...")
+    ok_result = recompose.Ok("success")
+    if not ok_result.ok:
+        print("  FAIL: Ok result should have ok=True")
+        return 1
+    if ok_result.value() != "success":
+        print(f"  FAIL: Ok result value mismatch: {ok_result.value()}")
+        return 1
+
+    err_result = recompose.Err("error message")
+    if err_result.ok:
+        print("  FAIL: Err result should have ok=False")
+        return 1
+
+    # Test 3: Task decorator
+    print("  [3/5] Testing @task decorator...")
+
+    @recompose.task
+    def test_task(*, name: str) -> recompose.Result[str]:
+        return recompose.Ok(f"Hello, {name}!")
+
+    result = test_task(name="World")
+    if not result.ok:
+        print(f"  FAIL: Task returned error: {result}")
+        return 1
+    if result.value() != "Hello, World!":
+        print(f"  FAIL: Unexpected task result: {result.value()}")
+        return 1
+
+    # Test 4: Subprocess helper
+    print("  [4/5] Testing subprocess helper...")
+    if not hasattr(recompose, "run"):
+        print("  FAIL: Missing 'run' function")
+        return 1
+
+    run_result = recompose.run("echo", "test")
+    if run_result.failed:
+        print(f"  FAIL: Subprocess failed: {run_result}")
+        return 1
+
+    # Test 5: Flow decorator
+    print("  [5/5] Testing flow decorator...")
+    if not hasattr(recompose, "flow"):
+        print("  FAIL: Missing 'flow' decorator")
+        return 1
+
+    print("\nAll smoke tests passed!")
+    return 0
+
+
+if __name__ == "__main__":
+    sys.exit(main())
diff --git a/recompose/examples/tasks/test.py b/recompose/examples/tasks/test.py
new file mode 100644
index 000000000000..71d3a2966554
--- /dev/null
+++ b/recompose/examples/tasks/test.py
@@ -0,0 +1,41 @@
+"""
+Test tasks for the recompose project.
+
+These are real tasks used in CI and development workflows.
+"""
+
+from pathlib import Path
+
+import recompose
+
+# Project root is two levels up from tasks/
+PROJECT_ROOT = Path(__file__).parent.parent.parent
+
+
+@recompose.task
+def test(*, verbose: bool = False, coverage: bool = False) -> recompose.Result[None]:
+    """
+    Run the pytest test suite.
+
+    Args:
+        verbose: Show verbose test output
+        coverage: Enable coverage reporting
+
+    """
+    recompose.out("Running tests...")
+
+    args = ["uv", "run", "pytest"]
+
+    if verbose:
+        args.append("-v")
+
+    if coverage:
+        args.extend(["--cov=src/recompose", "--cov-report=term-missing"])
+
+    result = recompose.run(*args, cwd=PROJECT_ROOT)
+
+    if result.failed:
+        return recompose.Err(f"Tests failed with exit code {result.returncode}")
+
+    recompose.out("All tests passed!")
+    return recompose.Ok(None)
diff --git a/recompose/proj/P01_foundation_DONE.md b/recompose/proj/P01_foundation_DONE.md
new file mode 100644
index 000000000000..d73fce47f7b7
--- /dev/null
+++ b/recompose/proj/P01_foundation_DONE.md
@@ -0,0 +1,143 @@
+# P01: Foundation
+
+**Status:** DONE
+**Goal:** Working package with `@task` decorator and basic `Result` type.
+
+## Scope
+
+This is the MVP core. By the end, we should be able to:
+
+```python
+import recompose
+
+@recompose.task
+def greet(*, name: str, count: int = 1) -> recompose.Result[str]:
+    for _ in range(count):
+        recompose.out(f"Hello, {name}!")
+    return recompose.Ok("done")
+
+# Can call directly as a function:
+result = greet(name="World", count=3)
+assert result.ok
+assert result.value == "done"
+```
+
+## Tasks
+
+- [x] Create pyproject.toml with uv
+- [x] Create src/recompose/__init__.py with public API
+- [x] Create src/recompose/result.py - Result[T] type
+- [x] Create src/recompose/context.py - Context, out(), dbg()
+- [x] Create src/recompose/task.py - @task decorator and registry
+- [x] Create basic tests
+- [x] Verify package installs and imports correctly
+
+## Implementation Notes
+
+### Result Type (Immutable Factory Pattern)
+
+```python
+from typing import Generic, TypeVar, Literal
+from pydantic import BaseModel
+
+T = TypeVar("T")
+
+class Result(BaseModel, Generic[T]):
+    """Base result type. Use Ok(value) or Err(message) to construct."""
+    value: T | None = None
+    status: Literal["success", "failure"] = "success"
+    error: str | None = None
+    # Later: captured_output, duration, traceback, etc.
+
+    @property
+    def ok(self) -> bool:
+        return self.status == "success"
+
+    @property
+    def failed(self) -> bool:
+        return self.status == "failure"
+
+
+def Ok(value: T) -> Result[T]:
+    """Create a successful result."""
+    return Result(value=value, status="success")
+
+
+def Err(error: str, value: T | None = None) -> Result[T]:
+    """Create a failed result."""
+    return Result(value=value, status="failure", error=error)
+```
+
+### Context
+
+The context is stored in a ContextVar so it's thread/async safe. When running outside recompose, helpers fall back to simple behavior.
+
+```python
+from contextvars import ContextVar
+
+_current_context: ContextVar["Context | None"] = ContextVar("recompose_context", default=None)
+
+def out(message: str) -> None:
+    ctx = _current_context.get()
+    if ctx:
+        ctx.output.append(("out", message))
+    print(message)  # Always print for now
+
+def dbg(message: str) -> None:
+    ctx = _current_context.get()
+    if ctx:
+        ctx.output.append(("dbg", message))
+    # Only print in debug mode or when running in recompose
+```
+
+### Task Decorator
+
+The decorator should:
+1. Register the function in a global registry
+2. Wrap it to optionally manage context
+3. Preserve the original function signature
+
+```python
+_task_registry: dict[str, TaskInfo] = {}
+
+def task(fn: Callable[P, Result[T]]) -> Callable[P, Result[T]]:
+    """Decorator to mark a function as a recompose task."""
+    info = TaskInfo(
+        name=fn.__name__,
+        module=fn.__module__,
+        fn=fn,
+        signature=inspect.signature(fn),
+    )
+    _task_registry[f"{fn.__module__}:{fn.__name__}"] = info
+
+    @functools.wraps(fn)
+    def wrapper(*args: P.args, **kwargs: P.kwargs) -> Result[T]:
+        # Set up context if not already in one
+        ctx = _current_context.get()
+        if ctx is None:
+            ctx = Context(task_name=info.name)
+            token = _current_context.set(ctx)
+            try:
+                return fn(*args, **kwargs)
+            finally:
+                _current_context.reset(token)
+        else:
+            return fn(*args, **kwargs)
+
+    return wrapper
+```
+
+## Design Decisions (Resolved)
+
+1. **Result is immutable** - Use `Ok(value)` and `Err(message)` factory functions.
+
+2. **Exceptions are caught** - The `@task` wrapper catches exceptions and converts to `Err` results with traceback.
+
+## Definition of Done
+
+- [x] `uv run python -c "import recompose"` works
+- [x] Can define a task with @recompose.task
+- [x] Can call task as normal function
+- [x] Task returns Result with value and status
+- [x] recompose.out() prints and captures output
+- [x] Basic test suite passes (24 tests)
diff --git a/recompose/proj/P02_cli_DONE.md b/recompose/proj/P02_cli_DONE.md
new file mode 100644
index 000000000000..6bcde4034735
--- /dev/null
+++ b/recompose/proj/P02_cli_DONE.md
@@ -0,0 +1,127 @@
+# P02: CLI Generation
+
+**Status:** DONE
+**Goal:** Auto-generate CLI subcommands from task signatures.
+
+## Scope
+
+By the end, we should be able to:
+
+```python
+#!/usr/bin/env python3
+import recompose
+
+@recompose.task
+def greet(*, name: str, count: int = 1) -> recompose.Result[str]:
+    """Greet someone multiple times."""
+    for _ in range(count):
+        recompose.out(f"Hello, {name}!")
+    return recompose.Ok("done")
+
+@recompose.task
+def add(*, a: int, b: int) -> recompose.Result[int]:
+    """Add two numbers."""
+    return recompose.Ok(a + b)
+
+recompose.main()
+```
+
+Then run:
+```bash
+> ./app.py greet --name=World --count=2
+
+▶ greet
+Hello, World!
+Hello, World!
+✓ greet succeeded in 0.01s
+→ done
+
+> ./app.py add --a=2 --b=3
+
+▶ add
+✓ add succeeded in 0.00s
+→ 5
+
+> ./app.py --help
+Usage: app.py [OPTIONS] COMMAND [ARGS]...
+
+Commands:
+  greet  Greet someone multiple times.
+  add    Add two numbers.
+```
+
+## Tasks
+
+- [x] Create src/recompose/cli.py with main() and CLI builder
+- [x] Introspect task signatures and generate Click commands
+- [x] Support types: str, int, float, bool, Path, Optional, Enum
+- [x] Handle keyword-only arguments (required vs optional)
+- [x] Format output with Rich (task header, result, timing)
+- [x] Add --debug flag for verbose output
+- [x] Write tests (10 CLI tests)
+- [x] Update __init__.py exports
+
+## Implementation Notes
+
+### CLI Structure
+
+Using Click to build the CLI:
+
+```python
+import click
+from rich.console import Console
+
+console = Console()
+
+def main(name: str | None = None) -> None:
+    """Build and run the CLI from registered tasks."""
+
+    @click.group(name=name or "recompose")
+    @click.option("--debug/--no-debug", default=False, help="Enable debug output")
+    def cli(debug: bool) -> None:
+        set_debug(debug)
+
+    # Add a command for each registered task
+    for task_name, task_info in get_registry().items():
+        cmd = build_command(task_info)
+        cli.add_command(cmd)
+
+    cli()
+```
+
+### Type Mapping
+
+| Python Type | Click Type | Notes |
+|-------------|------------|-------|
+| str | STRING | |
+| int | INT | |
+| float | FLOAT | |
+| bool | BOOL | Use --flag/--no-flag |
+| Path | PATH | |
+| Optional[T] | T | Not required |
+| Enum | Choice | Use enum values |
+
+### Output Format
+
+```
+▶ task_name
+
+[task output here]
+
+✓ task_name succeeded in 0.05s
+→ return_value
+
+# OR on failure:
+
+✗ task_name failed in 0.05s
+Error: ValueError: something went wrong
+```
+
+## Definition of Done
+
+- [x] `./app.py --help` shows all registered tasks
+- [x] `./app.py task_name --help` shows task arguments
+- [x] `./app.py task_name --arg=value` runs the task
+- [x] Output is formatted nicely with Rich
+- [x] --debug flag enables debug output
+- [x] Tests pass (34 total tests)
diff --git a/recompose/proj/P03_subprocess_DONE.md b/recompose/proj/P03_subprocess_DONE.md
new file mode 100644
index 000000000000..d7a29ceb7ac6
--- /dev/null
+++ b/recompose/proj/P03_subprocess_DONE.md
@@ -0,0 +1,103 @@
+# P03: Subprocess Helpers
+
+**Status:** IN_PROGRESS
+**Goal:** Easy way to run external commands with good output handling.
+
+## Overview
+
+Task runners commonly need to shell out to external tools (cargo, uv, npm, etc.). This module provides ergonomic helpers that:
+- Integrate cleanly with recompose's Result type
+- Stream output in real-time OR capture it
+- Work well with `recompose.out()` / `recompose.dbg()`
+- Handle errors gracefully
+
+## Design
+
+### Core API
+
+```python
+import recompose
+from recompose import run, RunResult
+
+# Basic usage - runs command, streams output, returns result
+result = recompose.run("cargo", "build", "--release")
+
+# Result has exit code and captured output
+if result.ok:
+    print(f"Success! stdout: {result.stdout}")
+else:
+    print(f"Failed with code {result.returncode}: {result.stderr}")
+
+# With working directory
+result = recompose.run("ls", "-la", cwd="/tmp")
+
+# Capture output instead of streaming (for parsing)
+result = recompose.run("git", "status", "--porcelain", capture=True)
+
+# Environment variables
+result = recompose.run("cargo", "build", env={"RUSTFLAGS": "-D warnings"})
+
+# Check mode - raises exception on non-zero exit (for use in tasks)
+recompose.run("cargo", "fmt", "--check", check=True)  # Raises on failure
+```
+
+### RunResult Type
+
+```python
+@dataclass
+class RunResult:
+    """Result from running a subprocess."""
+    returncode: int
+    stdout: str
+    stderr: str
+    command: list[str]
+
+    @property
+    def ok(self) -> bool:
+        return self.returncode == 0
+
+    @property
+    def failed(self) -> bool:
+        return self.returncode != 0
+```
+
+### Integration with Tasks
+
+```python
+@recompose.task
+def build_project() -> recompose.Result[str]:
+    result = recompose.run("cargo", "build", "--release")
+    if result.failed:
+        return recompose.Err(f"Build failed: {result.stderr}")
+    return recompose.Ok("Build succeeded")
+```
+
+## Implementation Steps
+
+1. **Create `RunResult` dataclass** - Simple container for subprocess results
+2. **Implement `run()` function** - Core subprocess wrapper
+   - Accept *args for command
+   - `cwd` parameter for working directory
+   - `env` parameter for environment variables (merged with os.environ)
+   - `capture` parameter to switch between streaming and capturing
+   - `check` parameter to raise on non-zero exit
+3. **Output integration** - Stream output through `recompose.out()` when not capturing
+4. **Error handling** - Convert subprocess errors to clean messages
+5. **Tests** - Cover basic usage, error cases, output capture, env vars
+
+## Key Decisions
+
+1. **Use `*args` for command** - `run("cargo", "build")` is cleaner than `run(["cargo", "build"])`
+2. **Stream by default** - Most task output should be visible in real-time
+3. **Merge env vars** - Don't replace entire environment, just add/override
+4. **No shell=True** - Security risk, explicit command parsing is safer
+
+## Completion Criteria
+
+- [ ] `recompose.run()` function works with basic commands
+- [ ] Output streams to console in real-time (default behavior)
+- [ ] `capture=True` captures output for parsing
+- [ ] `check=True` raises exception on failure
+- [ ] `cwd` and `env` parameters work correctly
+- [ ] Tests pass
+- [ ] Example script demonstrates typical usage patterns
diff --git a/recompose/proj/P04_member_tasks_DONE.md b/recompose/proj/P04_member_tasks_DONE.md
new file mode 100644
index 000000000000..5a1f3e88395a
--- /dev/null
+++ b/recompose/proj/P04_member_tasks_DONE.md
@@ -0,0 +1,117 @@
+# P04: Member Tasks
+
+**Status:** IN_PROGRESS
+**Goal:** Support `@task` decorator on class methods.
+
+## Overview
+
+Allow classes to have task-decorated methods. When invoked via CLI:
+- Class `__init__` args are combined with method args
+- The object is constructed first, then the method is called
+- Naming convention: `classname.methodname` (e.g., `venv.sync`)
+
+## Design
+
+### Usage Example
+
+```python
+import recompose
+from pathlib import Path
+
+class Venv:
+    def __init__(self, *, location: Path, clean: bool = False):
+        self.location = location
+        if clean and location.exists():
+            shutil.rmtree(location)
+        # Create venv...
+
+    @recompose.task
+    def sync(self, *, group: str | None = None) -> recompose.Result[None]:
+        """Sync dependencies."""
+        recompose.out(f"Syncing venv at {self.location}")
+        recompose.run("uv", "sync", cwd=self.location)
+        return recompose.Ok(None)
+
+    @recompose.task
+    def run(self, *, cmd: str) -> recompose.Result[int]:
+        """Run a command in the venv."""
+        result = recompose.run(self.location / "bin" / "python", "-c", cmd)
+        return recompose.Ok(result.returncode)
+```
+
+### CLI Exposure
+
+```bash
+# List available commands
+./app.py --help
+# Shows: venv.sync, venv.run
+
+# Call venv.sync - constructs Venv then calls sync()
+./app.py venv.sync --location=/tmp/myvenv --group=dev
+
+# Call venv.run
+./app.py venv.run --location=/tmp/myvenv --cmd="print('hello')"
+```
+
+### Registration Mechanism
+
+When `@task` decorates a method:
+1. Detect it's an unbound method (first param is `self`)
+2. Store metadata about the class and method
+3. At CLI build time, introspect the class `__init__` signature
+4. Combine `__init__` args + method args into single command
+
+### Key Design Decisions
+
+1. **`__init__` is NOT a task** - It's just a regular constructor. Only methods get `@task`.
+2. **Dot notation for names** - `classname.methodname` keeps it flat but clear.
+3. **All `__init__` args must be keyword-only** - For clean CLI mapping.
+4. **Instance is ephemeral** - Created fresh for each CLI invocation.
+
+### Implementation Approach
+
+**Option A: Descriptor-based**
+- `@task` returns a descriptor that captures method + class info
+- At class definition time, `__init_subclass__` or metaclass collects tasks
+- Requires class cooperation (inherit from base or use decorator)
+
+**Option B: Deferred registration**
+- `@task` on methods stores metadata on the function
+- A separate `@recompose.taskclass` decorator on the class triggers registration
+- Scans class for task-decorated methods and registers them
+
+**Option C: Manual registration**
+- User explicitly calls `recompose.register_class(Venv)` after class definition
+- Simplest implementation, most explicit
+
+Going with **Option B** - it's explicit but not too verbose:
+
+```python
+@recompose.taskclass
+class Venv:
+    def __init__(self, *, location: Path):
+        self.location = location
+
+    @recompose.task
+    def sync(self, *, group: str | None = None) -> recompose.Result[None]:
+        ...
+```
+
+## Implementation Steps
+
+1. **Add `@taskclass` decorator** - Scans class for `@task` methods
+2. **Extend TaskInfo** - Add fields for class-based tasks (cls, is_method, init_signature)
+3. **Update `@task` for methods** - Detect unbound methods, store differently
+4. **Update CLI builder** - Handle class tasks: combine init + method args
+5. **Tests** - Class-based task registration, CLI invocation, arg combining
+6. **Example** - Demonstrate with a realistic use case
+
+## Completion Criteria
+
+- [x] `@taskclass` decorator works
+- [x] `@task` on methods registers correctly
+- [x] CLI shows `classname.methodname` commands
+- [x] Combined args from `__init__` + method work
+- [x] Object is constructed then method called
+- [x] Tests pass (8 new tests)
+- [x] Example demonstrates the feature (member_tasks_demo.py)
diff --git a/recompose/proj/P05a_flows_DONE.md b/recompose/proj/P05a_flows_DONE.md
new file mode 100644
index 000000000000..11e080ce2533
--- /dev/null
+++ b/recompose/proj/P05a_flows_DONE.md
@@ -0,0 +1,124 @@
+# P05: Flows (Task Composition)
+
+**Status:** IN_PROGRESS
+**Goal:** Compose tasks into executable sequences/graphs.
+
+## Incremental Approach
+
+Breaking this into sub-phases:
+
+### P05a: Simple Sequential Flows (MVP)
+Compose tasks that run sequentially in the same process. Results from one task can be passed to the next.
+
+```python
+@recompose.flow
+def build_and_test() -> recompose.Result[str]:
+    # Tasks execute in sequence, results are passed through
+    build_result = build_project()
+    if build_result.failed:
+        return build_result
+
+    test_result = run_tests()
+    return test_result
+```
+
+**Key features:**
+- `@flow` decorator marks a function as a flow
+- Flow contains calls to `@task` functions
+- Tasks run sequentially in the same process
+- Flow is also exposed as a CLI command
+- Early exit on failure (configurable)
+
+### P05b: Subprocess Isolation
+Each task runs in its own subprocess. Results are serialized/deserialized.
+
+```python
+@recompose.flow(subprocess=True)
+def isolated_flow() -> recompose.Result[str]:
+    # Each task runs in a subprocess
+    result1 = task_one()  # subprocess 1
+    result2 = task_two(input=result1.value)  # subprocess 2
+    return result2
+```
+
+**Key features:**
+- Tasks invoked via CLI in subprocess
+- Results serialized to JSON (using pydantic)
+- Environment/cwd passed to subprocesses
+- Better isolation, matches CI behavior
+
+### P05c: DAG and Parallelization (Future)
+Proper dependency graph with parallel execution of independent tasks.
+
+---
+
+## P05a Implementation Plan
+
+### Design
+
+**Flow decorator:**
+```python
+@recompose.flow
+def my_flow(*, some_input: str) -> recompose.Result[str]:
+    """A flow that runs multiple tasks."""
+    r1 = first_task(input=some_input)
+    if r1.failed:
+        return r1
+
+    r2 = second_task(value=r1.value)
+    return r2
+```
+
+**What the decorator does:**
+1. Wraps the function similar to `@task`
+2. Registers it in a flow registry (or the same task registry with a flag)
+3. Exposes it as a CLI command
+4. Provides flow-specific context (tracking which tasks ran, timing, etc.)
+
+**FlowResult:**
+Extends Result to include information about sub-tasks:
+```python
+@dataclass
+class FlowResult(Result[T]):
+    task_results: list[tuple[str, Result]]  # (task_name, result) pairs
+    total_duration: float
+```
+
+### Implementation Steps
+
+1. **Create `flow.py` module** with:
+   - `@flow` decorator
+   - `FlowContext` for tracking execution
+   - `FlowResult` type
+
+2. **Update registry** to handle flows (or use same registry with `is_flow` flag)
+
+3. **Update CLI** to expose flows as commands
+
+4. **Tests** for flow execution, result passing, error handling
+
+5. **Example** demonstrating a realistic flow
+
+### API Surface
+
+```python
+# In __init__.py
+from .flow import flow, FlowResult
+
+# Usage
+@recompose.flow
+def my_flow(*, arg: str) -> recompose.Result[str]:
+    ...
+```
+
+## Completion Criteria (P05a)
+
+- [x] `@flow` decorator works
+- [x] Flows can call tasks sequentially
+- [x] Results pass between tasks
+- [x] Flows appear in CLI (with [flow] prefix)
+- [x] FlowContext tracks sub-task results (attached to Result)
+- [x] Tests pass (10 new tests)
+- [x] Example demonstrates usage (flow_demo.py)
+
+**P05a COMPLETE** - Basic sequential flows working. P05b (subprocess isolation) and P05c (DAG) are future work.
diff --git a/recompose/proj/P05b_declarative_flows_DONE.md b/recompose/proj/P05b_declarative_flows_DONE.md
new file mode 100644
index 000000000000..fda1550c5126
--- /dev/null
+++ b/recompose/proj/P05b_declarative_flows_DONE.md
@@ -0,0 +1,293 @@
+# P05b: Declarative Flow Execution
+
+**Status:** IN_PROGRESS
+**Goal:** Enable flows to build a task graph before execution, enabling dry-run, parallel execution, and subprocess isolation.
+
+## The Problem
+
+Currently flows are imperative - tasks execute immediately when called. This means:
+- We only know what ran *after* execution
+- Can't preview/dry-run a flow
+- Can't parallelize independent tasks
+- Can't easily map to external executors (subprocess, GHA)
+- Type confusion between planning and execution modes
+
+## The Solution: Explicit .flow() Variant
+
+Tasks have two calling modes with distinct APIs:
+
+1. **Direct call** - `task(arg=value)` → executes immediately, returns `Result[T]`
+2. **Flow call** - `task.flow(arg=value)` → returns `TaskNode[T]`, only valid inside flows
+
+```python
+@recompose.task
+def compile(*, source: Path) -> recompose.Result[Path]:
+    # Actual implementation
+    return recompose.Ok(output_path)
+
+# Direct execution (normal Python):
+result = compile(source=Path("src/"))  # Returns Result[Path]
+
+# Inside a flow (graph building):
+@recompose.flow
+def build_flow(*, source: Input[Path]):
+    compiled = compile.flow(source=source)    # Returns TaskNode[Path]
+    tested = run_tests.flow(binary=compiled)  # Takes TaskNode as input
+    packaged = package.flow(binary=compiled)  # Also depends on compiled
+    return packaged
+
+# Planning - get the graph without executing
+plan = build_flow.plan(source=Path("src/"))
+# plan.nodes = [compiled, tested, packaged]
+# plan shows: compile → [run_tests, package]
+
+# Execution - build graph, then execute
+result = build_flow(source=Path("src/"))
+```
+
+## Key Types
+
+### Input[T]
+
+Represents a flow input - either a literal value or a task output:
+
+```python
+Input[T] = T | TaskNode[T]
+```
+
+Used in flow function signatures to accept both:
+- Literal values from CLI/caller: `Input[Path]` accepts `Path("src/")`
+- Task outputs: `Input[Path]` accepts `compile.flow()` which returns `TaskNode[Path]`
+
+### TaskNode[T]
+
+Represents a deferred task execution in a flow graph:
+
+```python
+@dataclass
+class TaskNode(Generic[T]):
+    """Represents a deferred task execution."""
+    task_info: TaskInfo
+    kwargs: dict[str, Any]  # May contain other TaskNodes as values
+    node_id: str  # Unique identifier
+
+    @property
+    def dependencies(self) -> list[TaskNode]:
+        """Tasks this depends on (extracted from kwargs)."""
+        return [v for v in self.kwargs.values() if isinstance(v, TaskNode)]
+```
+
+The generic `T` represents the type of `Result[T]` that the task will produce when executed.
+
+## Key Design: FlowPlan
+
+```python
+@dataclass
+class FlowPlan:
+    """The execution graph for a flow."""
+    nodes: list[TaskNode]  # All tasks in execution order
+    terminal: TaskNode     # The final task (flow's return value)
+
+    def get_dependencies(self, node: TaskNode) -> list[TaskNode]:
+        """Get direct dependencies of a node."""
+
+    def get_execution_order(self) -> list[TaskNode]:
+        """Topological sort - tasks in valid execution order."""
+
+    def get_parallelizable_groups(self) -> list[list[TaskNode]]:
+        """Group tasks that can run in parallel."""
+```
+
+## How .flow() Works
+
+The `@task` decorator adds a `.flow()` method to the wrapped function:
+
+```python
+def task(fn):
+    @functools.wraps(fn)
+    def wrapper(**kwargs) -> Result[T]:
+        # Direct execution - runs immediately
+        return _execute_task(fn, kwargs)
+
+    def flow_variant(**kwargs) -> TaskNode[T]:
+        # Must be inside a flow context
+        plan = _current_plan.get()
+        if plan is None:
+            raise RuntimeError("task.flow() can only be called inside a @flow")
+
+        # Create node and register it
+        node = TaskNode(task_info=info, kwargs=kwargs)
+        plan.add_node(node)
+        return node
+
+    wrapper.flow = flow_variant
+    return wrapper
+```
+
+This gives us:
+- `my_task(arg=val)` → executes immediately, returns `Result[T]`
+- `my_task.flow(arg=val)` → builds graph, returns `TaskNode[T]`
+
+**Context tracking for flows:**
+
+```python
+_current_plan: ContextVar[FlowPlan | None] = ContextVar("plan", default=None)
+
+@flow
+def my_flow():
+    # _current_plan is set to a new FlowPlan
+    # .flow() calls register nodes in it
+    ...
+```
+
+## Handling TaskNode in Arguments
+
+When task B depends on task A's output:
+
+```python
+a = task_a.flow()           # TaskNode[str]
+b = task_b.flow(input=a)    # 'a' is a TaskNode, dependency recorded
+```
+
+The `.flow()` method receives a TaskNode as `input`. It scans kwargs to find TaskNode dependencies.
+
+During execution, we resolve TaskNodes to their actual results:
+
+```python
+def resolve_kwargs(kwargs: dict, results: dict[str, Result]) -> dict:
+    """Replace TaskNodes with their actual results."""
+    resolved = {}
+    for k, v in kwargs.items():
+        if isinstance(v, TaskNode):
+            resolved[k] = results[v.node_id].unwrap()  # Get actual value
+        else:
+            resolved[k] = v
+    return resolved
+```
+
+## Flow Execution Process
+
+```python
+@flow
+def my_flow(*, source: Input[Path]):
+    compiled = compile.flow(source=source)
+    tested = test.flow(binary=compiled)
+    return tested
+
+# When my_flow(source=Path("src/")) is called:
+
+1. Create new FlowPlan, set as current context
+2. Run the flow function body:
+   - compile.flow() creates TaskNode, adds to plan, returns it
+   - test.flow() creates TaskNode with dependency on compiled, adds to plan
+   - Flow returns the terminal TaskNode
+3. FlowPlan now contains the full graph
+4. Execute the plan in topological order:
+   for node in plan.get_execution_order():
+       resolved_kwargs = resolve_kwargs(node.kwargs, results)
+       result = node.task_info.fn(**resolved_kwargs)  # Actually run task
+       results[node.node_id] = result
+       if result.failed:
+           break  # Fail-fast
+5. Return terminal node's result (or failure)
+```
+
+## API Surface
+
+```python
+@recompose.task
+def compile(*, source: Path) -> recompose.Result[Path]:
+    ...
+
+@recompose.task
+def test(*, binary: Path) -> recompose.Result[bool]:
+    ...
+
+@recompose.flow
+def build_pipeline(*, source: Input[Path]) -> TaskNode[bool]:
+    compiled = compile.flow(source=source)
+    tested = test.flow(binary=compiled)
+    return tested
+
+# Execute (plan + run)
+result = build_pipeline(source=Path("src/"))  # Returns Result[bool]
+
+# Plan only (don't execute)
+plan = build_pipeline.plan(source=Path("src/"))
+print(plan.nodes)
+print(plan.get_execution_order())
+plan.visualize()  # Optional: show ASCII graph
+
+# Dry run (plan + show what would happen)
+build_pipeline.dry_run(source=Path("src/"))
+```
+
+## Type Safety
+
+With the `.flow()` API, types are explicit and correct:
+
+```python
+@task
+def compile(*, source: Path) -> Result[Path]: ...
+
+# Direct call - clear types
+result: Result[Path] = compile(source=Path("src/"))
+
+# Flow variant - clear types
+node: TaskNode[Path] = compile.flow(source=Path("src/"))
+
+# Flow function signature uses Input[T] for parameters
+@flow
+def my_flow(*, source: Input[Path]) -> TaskNode[Path]:
+    # source is Input[Path] = Path | TaskNode[Path]
+    # Can accept literal Path from CLI or TaskNode from another task
+    return compile.flow(source=source)
+```
+
+## Implementation Steps
+
+1. **Create `Input[T]` type alias** - Union of `T | TaskNode[T]`
+2. **Create `TaskNode[T]` class** - Generic, holds task info + kwargs + dependencies
+3. **Create `FlowPlan` class** - Holds nodes, provides topological sort
+4. **Add `.flow()` method to task wrapper** - Returns TaskNode, validates context
+5. **Add `_current_plan` context variable** - Track active FlowPlan
+6. **Update `@flow` decorator** - Create plan, run body, execute plan
+7. **Add `plan()` method to flows** - Return FlowPlan without executing
+8. **Add `dry_run()` method** - Show execution plan
+9. **Error on wrong context** - `.flow()` outside flow, or direct task inside flow (optional)
+10. **Tests** - Graph building, execution order, dependency resolution
+11. **Update examples** - Show new capabilities
+
+## Migration from P05a
+
+The current imperative flows (P05a) will be deprecated. Migration:
+
+```python
+# Old (P05a) - imperative, auto-fail
+@flow
+def old_flow():
+    check_prerequisites()  # Direct call, auto-fails
+    run_linter()
+    return Ok("done")
+
+# New (P05b) - declarative with .flow()
+@flow
+def new_flow():
+    prereq = check_prerequisites.flow()
+    linted = run_linter.flow()
+    return linted  # Return terminal node
+```
+
+## Completion Criteria
+
+- [x] `Input[T]` type alias - documented as conceptual (runtime rather than compile-time)
+- [x] `TaskNode[T]` class implemented
+- [x] `FlowPlan` with topological sort
+- [x] `.flow()` method on tasks
+- [x] `@flow` decorator does plan-then-execute
+- [x] `flow.plan()` returns graph without executing
+- [x] Dependencies tracked through TaskNode kwargs
+- [x] Execution follows topological order
+- [x] Results passed between dependent tasks
+- [x] Tests for planning/graph features (17 new tests)
+- [x] Example demonstrates the new API (declarative_pipeline, show_plan_demo)
diff --git a/recompose/proj/P05d_flows_subprocess_DONE.md b/recompose/proj/P05d_flows_subprocess_DONE.md
new file mode 100644
index 000000000000..676aec25a861
--- /dev/null
+++ b/recompose/proj/P05d_flows_subprocess_DONE.md
@@ -0,0 +1,111 @@
+# P05d: Subprocess Isolation for Flow Tasks
+
+**Status:** DONE
+
+## Goal
+
+Enable flow tasks to run as separate subprocess invocations, with results serialized
+to JSON files in a workspace directory. This is the foundation for GHA workflow generation,
+where each step is a separate process invocation.
+
+## Implementation
+
+### Step Names
+
+Tasks in a flow are assigned sequential step names like `1_fetch_source`, `2_compile_source`.
+This ensures unique names even when the same task is used multiple times.
+
+```python
+plan = my_flow.plan()
+plan.assign_step_names()
+
+for step_name, node in plan.get_steps():
+    print(f"{step_name}: {node.task_info.name}")
+```
+
+### Workspace
+
+A workspace is a directory containing:
+- `_params.json` - Flow name, parameters, step names, script path
+- `{step_name}.json` - Result from each step (status, value, error, traceback)
+
+```python
+from recompose.workspace import (
+    create_workspace,
+    write_params,
+    read_params,
+    write_step_result,
+    read_step_result,
+)
+```
+
+### CLI Options
+
+Flows get `--setup`, `--step`, and `--workspace` options automatically:
+
+```bash
+# Initialize workspace with parameters
+./app.py build_pipeline --setup --workspace /tmp/ws --repo main
+
+# Execute a single step
+./app.py build_pipeline --step 1_fetch_source --workspace /tmp/ws
+
+# Steps can be referenced by number, full name, or task name
+./app.py build_pipeline --step 1 --workspace /tmp/ws
+./app.py build_pipeline --step fetch_source --workspace /tmp/ws
+```
+
+### run_isolated() Method
+
+For local testing, `flow.run_isolated()` orchestrates subprocess execution:
+
+```python
+@recompose.flow
+def build_pipeline(*, repo: str) -> None:
+    source = fetch_source.flow(repo=repo)
+    compile_source.flow(source_dir=source)
+
+# Run with subprocess isolation (like GHA would)
+result = build_pipeline.run_isolated(repo="test")
+```
+
+This:
+1. Creates a workspace directory
+2. Writes `_params.json` with flow params and step names
+3. Executes each step as a subprocess: `python script.py flow --step X --workspace Y`
+4. Each step reads its dependencies from workspace and writes its result
+5. Returns success if all steps complete
+
+## Files Changed
+
+- `src/recompose/flowgraph.py` - Added `step_name` field, step assignment methods
+- `src/recompose/workspace.py` - NEW: Workspace management, result serialization
+- `src/recompose/cli.py` - Added `--setup`, `--step`, `--workspace` options
+- `src/recompose/flow.py` - Added `run_isolated()` method
+- `src/recompose/__init__.py` - Exported workspace types
+- `tests/test_workspace.py` - NEW: 14 tests for workspace functionality
+
+## Tests
+
+101 tests passing:
+- `test_workspace.py` - FlowParams serialization, workspace I/O, step names, run_isolated
+
+## Design Decisions
+
+1. **File-based serialization** - JSON files in workspace directory. Simple, debuggable,
+   works across processes.
+
+2. **Sequential step names** - `1_fetch`, `2_build` ensures uniqueness even with repeated tasks.
+
+3. **Script path from module** - `inspect.getfile(fn)` gets the flow's module, not the caller.
+
+4. **Params stored once** - Flow parameters written in setup, not passed to each step.
+   Steps read dependencies from workspace.
+
+## Next Steps
+
+P06_gha_generation can now generate workflow YAML where each step is:
+```yaml
+- name: 1_fetch_source
+  run: python script.py build_pipeline --step 1_fetch_source --workspace ${{ github.workspace }}/.recompose
+```
diff --git a/recompose/proj/P06_gha_generation_DONE.md b/recompose/proj/P06_gha_generation_DONE.md
new file mode 100644
index 000000000000..a217548efa45
--- /dev/null
+++ b/recompose/proj/P06_gha_generation_DONE.md
@@ -0,0 +1,288 @@
+# P06: GitHub Actions Workflow Generation
+
+**Status:** IN_PROGRESS
+
+## Goal
+
+Enable recompose flows and automations to generate GitHub Actions workflow YAML files.
+Users generate workflows, review them, and commit them to source control.
+
+## Architecture
+
+### Hierarchy
+
+```
+Task       → Single unit of work (a Python function)
+Flow       → Composition of tasks → Single GHA job, workflow_dispatch triggerable
+Automation → Orchestrates flows   → Uses workflow_run to chain workflow executions
+```
+
+### Flows → workflow_dispatch
+
+Each flow generates a workflow file with `workflow_dispatch` trigger:
+
+```yaml
+# .github/workflows/build_pipeline.yml
+name: build_pipeline
+on:
+  workflow_dispatch:
+    inputs:
+      repo:
+        description: 'Repository branch'
+        required: false
+        default: 'main'
+
+jobs:
+  build_pipeline:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v4
+      - name: Setup
+        run: python script.py build_pipeline --setup --workspace .recompose --repo ${{ inputs.repo }}
+      - name: 1_fetch_source
+        run: python script.py build_pipeline --step 1_fetch_source --workspace .recompose
+      - name: 2_compile_source
+        run: python script.py build_pipeline --step 2_compile_source --workspace .recompose
+      # ...
+```
+
+**Key points:**
+- Flow parameters become `workflow_dispatch.inputs`
+- Each flow is independently triggerable from GHA UI
+- Failed flows can be manually re-run without re-running everything
+
+### Automations → workflow_run
+
+Automations orchestrate multiple flows via `workflow_run`:
+
+```python
+@recompose.automation(
+    gha_on={"schedule": [{"cron": "0 0 * * *"}]}  # Nightly
+)
+def nightly_release():
+    # Dispatch flows (potentially to different runners)
+    linux = build_pipeline.dispatch(repo="main")
+    mac = build_pipeline.dispatch(repo="main", gha_runs_on="macos-latest")
+
+    # This flow runs after both complete
+    publish_release.dispatch(version="nightly")
+```
+
+Generates:
+```yaml
+# .github/workflows/nightly_release.yml
+name: nightly_release
+on:
+  schedule:
+    - cron: '0 0 * * *'
+  workflow_run:
+    workflows: [build_pipeline]
+    types: [completed]
+
+jobs:
+  orchestrate:
+    runs-on: ubuntu-latest
+    steps:
+      - name: Dispatch build_pipeline (linux)
+        uses: benc-uk/workflow-dispatch@v1
+        with:
+          workflow: build_pipeline.yml
+          inputs: '{"repo": "main"}'
+      # ... coordination logic
+```
+
+**Key points:**
+- Automations compose flows, not tasks
+- Uses `workflow_run` for GHA UI to show workflow chains
+- Each flow runs as a separate workflow (can be on different runners)
+
+## Implementation Phases
+
+### Phase 1: Flow → YAML Generation (MVP)
+
+**Goal:** Generate valid workflow YAML from a flow.
+
+1. **Add `gha.py` module:**
+   ```python
+   @dataclass
+   class WorkflowSpec:
+       name: str
+       on: dict[str, Any]  # Triggers
+       jobs: dict[str, JobSpec]
+
+   @dataclass
+   class JobSpec:
+       runs_on: str
+       steps: list[StepSpec]
+
+   def render_flow_workflow(flow_info: FlowInfo) -> str:
+       """Generate workflow YAML for a flow."""
+   ```
+
+2. **Add CLI command:**
+   ```bash
+   ./app.py generate-gha build_pipeline
+   # Outputs YAML to stdout
+
+   ./app.py generate-gha build_pipeline --output .github/workflows/build_pipeline.yml
+   # Writes to file
+   ```
+
+3. **Flow parameters → workflow_dispatch inputs:**
+   - Introspect flow signature
+   - Map types: `str`, `int`, `bool` → GHA input types
+   - Include defaults
+
+4. **Step generation:**
+   - Setup step: `--setup --workspace .recompose`
+   - Task steps: `--step {name} --workspace .recompose`
+
+5. **Local validation with actionlint:**
+   - Integrate [actionlint](https://github.com/rhysd/actionlint) for workflow validation
+   - `generate-gha --validate` runs actionlint on generated output
+   - Clear error messages if validation fails
+   - Can install via: `brew install actionlint` or `go install github.com/rhysd/actionlint/cmd/actionlint@latest`
+
+**Deliverables:**
+- `generate-gha` CLI command works
+- `--validate` flag runs actionlint on output
+- Generated workflow is valid YAML that passes actionlint
+- Can manually run generated workflow in GHA
+
+### Phase 2: GHA Setup Actions
+
+**Goal:** Support common GHA setup actions as virtual tasks in flows.
+
+1. **Create `recompose.gha` namespace:**
+   ```python
+   # Virtual tasks that render as `uses:` steps
+   recompose.gha.checkout()                    # → actions/checkout@v4
+   recompose.gha.setup_python(version="3.11") # → actions/setup-python@v5
+   recompose.gha.setup_uv()                   # → astral-sh/setup-uv@v4
+   recompose.gha.setup_rust(toolchain="stable")
+   recompose.gha.cache(path="~/.cache", key="...")
+   ```
+
+2. **Virtual task behavior:**
+   - Local execution: No-op, return `Ok(None)`
+   - `plan()`: Include in graph as special nodes with `is_gha_action=True`
+   - YAML render: Emit `uses:` instead of `run:`
+
+3. **Ordering:** GHA actions appear before task steps
+
+**Example flow:**
+```python
+@recompose.flow
+def build_pipeline(*, repo: str = "main") -> None:
+    recompose.gha.checkout()
+    recompose.gha.setup_python(version="3.11")
+    recompose.gha.setup_uv()
+
+    source = fetch_source.flow(repo=repo)
+    binary = compile_source.flow(source_dir=source)
+```
+
+**Deliverables:**
+- Virtual GHA tasks work in flows
+- Running locally skips them gracefully
+- Generated YAML includes proper `uses:` actions
+
+### Phase 3: Automations
+
+**Goal:** Implement `@automation` decorator and workflow_run orchestration.
+
+1. **`@automation` decorator with GHA config:**
+   ```python
+   @recompose.automation(
+       gha_on={"schedule": [{"cron": "0 0 * * *"}]},  # When to trigger
+       gha_runs_on="ubuntu-latest",                   # Orchestration runner
+       gha_env={"RUST_LOG": "debug"},                 # Environment
+       gha_timeout_minutes=30,                        # Timeout
+   )
+   def nightly_release():
+       build_pipeline.dispatch(repo="main")
+       publish_release.dispatch()
+   ```
+
+2. **`.dispatch()` method on flows:**
+   - Returns a handle representing the dispatched workflow
+   - Can pass flow parameters
+
+3. **YAML generation for automations:**
+   - Include configured triggers (schedule, push, workflow_run, etc.)
+   - Steps to dispatch child workflows
+
+**Deliverables:**
+- `@automation` decorator works with GHA config
+- Automations generate valid workflow YAML
+- workflow_run chaining works in GHA
+
+### Phase 4: Secrets and Environment
+
+**Goal:** Handle secrets and environment variables.
+
+1. **Secret references:**
+   ```python
+   token = recompose.gha.secret("GITHUB_TOKEN")
+   # In YAML: ${{ secrets.GITHUB_TOKEN }}
+   ```
+
+2. **Local secrets:**
+   - Read from `~/.recompose/secrets.toml`
+   - Clear error if required secret missing
+
+**Deliverables:**
+- Secrets work in both local and CI
+- Environment variables configurable
+
+## File Structure
+
+```
+src/recompose/
+├── gha.py              # NEW: GHA generation, virtual tasks, WorkflowSpec
+├── automation.py       # NEW: @automation decorator
+├── flow.py             # Modified: GHA config in decorator
+├── cli.py              # Modified: generate-gha command
+└── ...
+```
+
+## Test Strategy
+
+1. **Unit tests:**
+   - YAML generation produces valid output
+   - Flow params → workflow_dispatch inputs
+   - Virtual tasks render correctly
+
+2. **Integration tests:**
+   - Generate workflow from example flow
+   - Validate with actionlint (if installed)
+   - Compare against expected output snapshots
+
+3. **Manual validation:**
+   - Run generated workflow in test repo
+   - Verify matches `run_isolated()` behavior
+
+## Design Decisions
+
+1. **Workflows are manually committed** - User generates, reviews, commits. Not automatic.
+
+2. **Flows = workflow_dispatch only** - Each flow is independently triggerable with inputs. No GHA config on flows - they're always workflow_dispatch.
+
+3. **Automations have GHA config** - Triggers (schedule, push, PR), runner, env, timeout all configured on automations.
+
+4. **Automations = workflow_run** - GHA UI shows workflow chains nicely.
+
+5. **Clean separation** - Automations dispatch flows, they don't inline them. If you want one job, use a flow with more tasks.
+
+## Success Criteria
+
+**Phase 1 complete when:**
+- [ ] `generate-gha` CLI command works
+- [ ] `--validate` flag runs actionlint
+- [ ] Generated workflow passes actionlint
+- [ ] Flow parameters become workflow_dispatch inputs
+
+**P06 complete when:**
+- [ ] Phases 1-3 implemented
+- [ ] Example workflows for `build_pipeline` and a simple automation
+- [ ] Documentation for GHA generation
diff --git a/recompose/proj/P07_real_examples_DONE.md b/recompose/proj/P07_real_examples_DONE.md
new file mode 100644
index 000000000000..3c758444d2ec
--- /dev/null
+++ b/recompose/proj/P07_real_examples_DONE.md
@@ -0,0 +1,161 @@
+# P07: Real Examples
+
+**Goal:** Create real, working examples that serve the recompose project itself. These become
+the actual CI/dev workflow for recompose, demonstrating that the system works end-to-end.
+
+## Background
+
+The current examples are haphazard - based on development order rather than serving as an
+optimal introduction to using recompose. We want:
+
+1. Real tasks that actually do useful things for the recompose project
+2. A unified `recompose/run` entrypoint that becomes THE way to run tasks
+3. Generated workflows that run in actual CI
+4. Validation that workflows stay in sync
+
+## Phases
+
+### P07a - Examples structure & basic tasks
+
+**Tasks to create:**
+- `lint` - Run `ruff check` on the codebase
+- `format-check` - Run `ruff format --check` (for CI)
+- `format` - Run `ruff format` (apply fixes, local only)
+- `typecheck` - Run `mypy` (if configured)
+- `test` - Run `pytest`
+
+**Structure:**
+```
+examples/
+├── README.md          # Explains the examples
+├── tasks/
+│   ├── __init__.py
+│   ├── lint.py        # lint, format-check, format tasks
+│   └── test.py        # test task
+└── ...
+```
+
+**Completion:** Can run `./run lint`, `./run test` etc.
+
+### P07b - Build & distribution tasks
+
+**Tasks to create:**
+- `build-wheel` - Build the wheel with `uv build`
+- `create-venv` - Create a test virtualenv
+- `install-wheel` - Install wheel into venv
+- `test-installed` - Run tests against installed package
+
+**Flow:**
+```python
+@recompose.flow
+def test_wheel_flow():
+    """Build wheel, install in fresh venv, run tests."""
+    gha.checkout.flow()
+    gha.setup_python().flow()
+    gha.setup_uv().flow()
+
+    wheel = build_wheel.flow()
+    venv = create_venv.flow()
+    install_wheel.flow(venv=venv, wheel=wheel)
+    test_installed.flow(venv=venv)
+```
+
+**Completion:** Can build and test wheel locally and generate workflow for it.
+
+### P07c - Unified entrypoint
+
+**Create `recompose/run`:**
+```python
+#!/usr/bin/env python3
+"""Recompose task runner - the single entrypoint for all recompose tasks."""
+
+import recompose
+from examples.tasks import lint, test, build
+# ... import all task modules
+
+recompose.main()
+```
+
+Make it executable, add to PATH or use as `./run <task>`.
+
+**Completion:** Single `./run` script runs any task.
+
+### P07d - Workflow generation & validation
+
+**Generated workflow header:**
+```yaml
+# ============================================================================
+# GENERATED FILE - DO NOT EDIT MANUALLY
+#
+# Generated by: recompose
+# Source: examples/flows/ci.py::ci_flow
+# Regenerate with: ./run generate-gha ci_flow --output .github/workflows/ci.yml
+# ============================================================================
+name: ci_flow
+...
+```
+
+**Validation task:**
+```python
+@recompose.task
+def validate_workflows() -> recompose.Result[None]:
+    """Check that committed workflows match generated output."""
+    # For each known flow/automation:
+    #   1. Generate to temp file
+    #   2. Compare with committed file
+    #   3. Fail if different
+```
+
+**CI flow includes this task** - so manual edits to workflows cause CI failure.
+
+**Completion:** Workflows have headers, validation task works.
+
+## Implementation Notes
+
+### Directory structure after P07:
+```
+recompose/
+├── run                      # Unified entrypoint (executable)
+├── examples/
+│   ├── README.md
+│   ├── tasks/
+│   │   ├── __init__.py
+│   │   ├── lint.py
+│   │   ├── test.py
+│   │   └── build.py
+│   ├── flows/
+│   │   ├── __init__.py
+│   │   └── ci.py
+│   └── automations/
+│       ├── __init__.py
+│       └── main.py
+├── .github/workflows/       # Or sync to top-level .github/
+│   └── ci.yml              # Generated
+└── ...
+```
+
+### Key design decisions:
+
+1. **Real tasks** - These actually run ruff, pytest, uv build, etc.
+2. **Sync to .github/workflows/** - Workflows go to top-level repo's .github/workflows/
+3. **Header comments** - All generated YAML has header explaining it's generated
+4. **Validation in CI** - Workflow validation runs as part of CI
+
+### Generated workflow location
+
+Since GHA requires workflows in `.github/workflows/`, we sync there. Options:
+- Generate directly to `../../.github/workflows/` (relative to recompose/)
+- Have a sync task that copies from local to top-level
+
+Going with direct generation to the right location, with paths configurable.
+
+## Open Questions
+
+- Should we have separate lint/format-check or combine into one task with flag?
+- How to handle the path to top-level .github/workflows/ cleanly?
+- Should validate-workflows be a task or a flow?
+
+## Dependencies
+
+- P06 (GHA generation) - Complete
+- ruff, pytest installed in dev environment
diff --git a/recompose/proj/P09_workflow_dispatch_DONE.md b/recompose/proj/P09_workflow_dispatch_DONE.md
new file mode 100644
index 000000000000..427c13e17395
--- /dev/null
+++ b/recompose/proj/P09_workflow_dispatch_DONE.md
@@ -0,0 +1,109 @@
+# P09: Workflow Dispatch - CLI-to-GitHub Integration (DONE)
+
+## Goal
+
+Enable ergonomic triggering of GitHub Actions workflows directly from the recompose CLI, with validation to ensure local and remote workflows are in sync.
+
+## Use Cases
+
+1. **Remote execution**: `./run ci --remote` triggers the workflow on GitHub instead of running locally
+2. **Status checking**: See the status of workflow runs for a given flow
+3. **Sync validation**: Warn/error if local workflow differs from what's on GitHub
+
+## Implementation Plan
+
+### Phase 1: Core Infrastructure
+
+1. **GitHub CLI integration** (`src/recompose/github.py`)
+   - Wrapper around `gh` CLI for workflow operations
+   - Functions:
+     - `list_workflows()` - list all workflows in the repo
+     - `get_workflow(name)` - get workflow by name
+     - `trigger_workflow(name, inputs)` - dispatch workflow_dispatch event
+     - `list_runs(workflow_name)` - list recent runs
+     - `get_run_status(run_id)` - get status of a specific run
+
+2. **Workflow mapping**
+   - Map flow names to workflow files: `ci` → `recompose_flow_ci.yml`
+   - Detect when a flow has a corresponding GHA workflow
+
+### Phase 2: Dispatch Command
+
+1. **Add `--remote` flag to flow execution**
+   - When `--remote` is passed, dispatch to GitHub instead of local execution
+   - Pass flow parameters as workflow_dispatch inputs
+
+2. **Sync validation before dispatch**
+   - Generate workflow YAML locally
+   - Fetch workflow YAML from GitHub (via `gh api`)
+   - Compare and warn/error if they differ
+   - Option to skip validation: `--force`
+
+### Phase 3: Status & Monitoring
+
+1. **Add `status` subcommand**
+   - `./run ci --status` - show recent runs of the ci workflow
+   - Display: run ID, status, conclusion, started_at, URL
+
+2. **Watch mode** (bonus)
+   - `./run ci --remote --watch` - dispatch and wait for completion
+   - Poll for status updates
+   - Show live output if available
+
+## Technical Details
+
+### GitHub CLI Commands
+
+```bash
+# List workflows
+gh workflow list
+
+# Trigger workflow
+gh workflow run recompose_flow_ci.yml -f param1=value1
+
+# List runs for a workflow
+gh run list --workflow=recompose_flow_ci.yml
+
+# Get run details
+gh run view <run_id>
+
+# Get workflow file from repo
+gh api repos/{owner}/{repo}/contents/.github/workflows/recompose_flow_ci.yml
+```
+
+### Workflow-to-Flow Mapping
+
+Convention: `recompose_flow_{flow_name}.yml` maps to flow `{flow_name}`
+
+### CLI Changes
+
+```
+# Current
+./run ci                    # Run locally
+./run ci --inspect          # Inspect flow
+
+# New
+./run ci --remote           # Trigger on GitHub
+./run ci --remote --watch   # Trigger and wait
+./run ci --status           # Show recent runs
+./run ci --remote --force   # Skip sync validation
+```
+
+## Dependencies
+
+- `gh` CLI must be installed and authenticated
+- Repository must have workflow files committed
+
+## Completion Criteria
+
+- [x] `./run ci --remote` triggers workflow on GitHub
+- [x] Sync validation warns if workflow is out of date
+- [x] `./run ci --status` shows recent run history
+- [x] Tests for GitHub CLI wrapper (mocked)
+- [ ] Documentation in examples/README.md (deferred - not critical)
+
+## Notes
+
+- Start simple: just dispatch + basic status
+- Watch mode is bonus if time permits
+- Error messages should be helpful (e.g., "gh not found", "not authenticated")
diff --git a/recompose/proj/P10_context_dispatch_DONE.md b/recompose/proj/P10_context_dispatch_DONE.md
new file mode 100644
index 000000000000..bc7a52b3e9a1
--- /dev/null
+++ b/recompose/proj/P10_context_dispatch_DONE.md
@@ -0,0 +1,206 @@
+# P10: Context-Based Flow Dispatch
+
+## Goal
+
+Remove the separate `.flow()` method and make tasks automatically detect whether they're being called in a flow-building context. This simplifies the API significantly - same function signature in both cases.
+
+## Motivation
+
+Currently:
+```python
+@recompose.flow
+def my_flow():
+    result = task_a.flow(arg="value")  # Must use .flow()
+    task_b.flow(input=result.value())
+```
+
+Proposed:
+```python
+@recompose.flow
+def my_flow():
+    result = task_a(arg="value")  # Just call it!
+    task_b(input=result.value())
+```
+
+**Benefits:**
+1. **Simpler API** - No need to remember `.flow()` vs regular call
+2. **Same signature** - Type system sees identical function signature in both modes
+3. **Less code** - No need to inject/maintain `.flow()` method
+4. **More intuitive** - Function "does the right thing" based on context
+5. **Safer** - Impossible to accidentally call a task directly during flow compilation (since they're the same)
+
+**Key insight:** Flow-compilation only happens in very specific, controlled circumstances (when `get_current_plan()` is not None). We can safely check this context in the task wrapper.
+
+## Current Architecture
+
+### Task wrapper (task.py:156-180)
+```python
+def wrapper(*args, **kwargs) -> Result[T]:
+    # Check if we're inside a flow that's building a plan
+    if get_current_plan() is not None:
+        raise DirectTaskCallInFlowError(info.name)  # ← Prevent direct calls in flows
+
+    # Normal execution logic...
+    existing_ctx = get_context()
+    if existing_ctx is None:
+        ctx = Context(task_name=info.name)
+        set_context(ctx)
+        try:
+            result = _execute_task(fn, args, kwargs)
+        finally:
+            set_context(None)
+    else:
+        result = _execute_task(fn, args, kwargs)
+    return result
+```
+
+### Separate .flow() method (task.py:197-271)
+```python
+def flow_variant(**kwargs: Any) -> Any:
+    plan = get_current_plan()
+    if plan is None:
+        raise RuntimeError(f"{info.name}.flow() can only be called inside a @flow")
+
+    # Validate kwargs...
+    # Create TaskNode...
+    node = TaskNode(task_info=info, kwargs=kwargs, condition=condition)
+    plan.add_node(node)
+    return node
+
+wrapper.flow = flow_variant  # ← Injected as method
+```
+
+## Proposed Architecture
+
+### Unified wrapper
+```python
+def wrapper(*args, **kwargs) -> Result[T]:
+    plan = get_current_plan()
+
+    # IN FLOW-BUILDING MODE: Create TaskNode
+    if plan is not None:
+        # Validate kwargs (same as current .flow())
+        # Create TaskNode and add to plan
+        # Return TaskNode (mimics Result[T] for type checking)
+        from .conditional import get_current_condition
+        current_cond = get_current_condition()
+        condition = current_cond.condition if current_cond else None
+
+        node = TaskNode(task_info=info, kwargs=kwargs, condition=condition)
+        plan.add_node(node)
+        return node
+
+    # NORMAL EXECUTION MODE: Execute task
+    existing_ctx = get_context()
+    if existing_ctx is None:
+        ctx = Context(task_name=info.name)
+        set_context(ctx)
+        try:
+            result = _execute_task(fn, args, kwargs)
+        finally:
+            set_context(None)
+    else:
+        result = _execute_task(fn, args, kwargs)
+    return result
+```
+
+**No `.flow()` method needed!** The same wrapper does both jobs.
+
+## Implementation Plan
+
+### Phase 1: Core refactoring (code changes)
+1. ✅ Create this plan document
+2. ⬜ Modify `task()` decorator in `task.py`:
+   - Move flow-building logic from `.flow()` into main wrapper
+   - Remove `.flow()` method injection
+   - Remove `DirectTaskCallInFlowError` (no longer needed)
+3. ⬜ Modify `taskclass()` in `task.py`:
+   - Apply same changes to method task wrappers
+4. ⬜ Update `TaskWrapper` protocol to remove `.flow()` method signature
+5. ⬜ Remove `DirectTaskCallInFlowError` from `flow.py`
+
+### Phase 2: Update all callsites (256 occurrences)
+**Examples:**
+- `examples/tutorial/intro_flows.py` - 25 calls
+- `examples/flows/ci.py` - 7 calls
+- `examples/flows/wheel_test.py` - 5 calls
+
+**Tests:**
+- `tests/test_declarative_flow.py` - 34 calls
+- `tests/test_parameterized_flows.py` - 23 calls
+- `tests/test_flow.py` - 18 calls
+- `tests/test_gha.py` - 10 calls
+- `tests/test_workspace.py` - 9 calls
+- `tests/test_automation.py` - 2 calls
+
+**Source:**
+- `src/recompose/gha.py` - 7 calls (GHA action helpers)
+- `src/recompose/conditional.py` - 5 calls (run_if tests)
+- `src/recompose/flow.py` - 10 calls (internal)
+- `src/recompose/flowgraph.py` - 22 calls (likely docstrings/comments)
+- `src/recompose/task.py` - 18 calls (likely docstrings/comments)
+
+**Documentation:**
+- `WORK.md` - 8 calls
+- `examples/README.md` - 12 calls
+- Various `proj/*.md` files
+
+### Phase 3: Update documentation
+1. ⬜ Update docstrings in `task.py` to explain context-based dispatch
+2. ⬜ Update tutorial comments in `examples/tutorial/intro_flows.py`
+3. ⬜ Update `examples/README.md`
+4. ⬜ Update `WORK.md` and `PLAN.md` if needed
+
+### Phase 4: Validation
+1. ⬜ Run all tests: `./run test`
+2. ⬜ Run all examples manually to verify behavior
+3. ⬜ Check type checking still works (mypy)
+4. ⬜ Verify GHA workflow generation still works
+
+## Edge Cases to Consider
+
+1. **Type checking**: The wrapper returns `TaskNode[T] | Result[T]` depending on context, but to the type checker it should always look like `Result[T]`. This already works (TaskNode mimics Result).
+
+2. **Nested flows**: What if a flow calls another flow? This should work - the inner flow would be treated as a single node in the outer flow's plan.
+
+3. **Method tasks**: Need to ensure `@taskclass` method wrappers get the same treatment.
+
+4. **Error messages**: Update error messages to reflect that tasks can be called directly (no more "use .flow()" suggestions).
+
+5. **Validation**: The current `.flow()` does kwargs validation. Need to preserve this in the flow-building branch.
+
+## Testing Strategy
+
+1. **Existing tests should mostly pass** after mechanical `.flow()` removal
+2. **Add new tests** for context-based dispatch:
+   - Verify task callable directly outside flow
+   - Verify task callable inside flow (creates TaskNode)
+   - Verify error if task called with wrong args in flow
+3. **Type checking tests** to ensure `Result[T]` signature preserved
+
+## Rollout
+
+This is a **breaking API change** for any external users. However:
+- Project is in early development (0.1.0)
+- No external users yet
+- Simplification is worth it now vs later
+
+## Completion Criteria
+
+- [ ] All 256 `.flow()` calls removed
+- [ ] All tests passing
+- [ ] Type checking passes
+- [ ] GHA workflow generation works
+- [ ] Examples run successfully
+- [ ] Documentation updated
+
+## Risks
+
+**Low risk:**
+- Changes are mechanical and well-defined
+- Tests provide good coverage
+- Context variable approach is clean and isolated
+
+**Main risk:**
+- Missing some `.flow()` calls in the refactoring → Mitigated by running tests and examples
+- Type checking regression → Mitigated by running mypy
diff --git a/recompose/proj/P11_explicit_registration_DONE.md b/recompose/proj/P11_explicit_registration_DONE.md
new file mode 100644
index 000000000000..8df0b0dae810
--- /dev/null
+++ b/recompose/proj/P11_explicit_registration_DONE.md
@@ -0,0 +1,340 @@
+# P11: Explicit Command Registration
+
+**Status: DONE**
+
+**Goal:** Move from auto-registration to explicit, organized command registration with command groups and centralized configuration.
+
+## Summary of Implementation
+
+All phases completed successfully:
+- **P11a**: Created `Config` dataclass and restructured `main()`
+- **P11b**: Created `CommandGroup`, `builtin_commands()`, and grouped CLI help
+- **P11c**: Migration complete, old auto-registration removed
+
+Key changes:
+1. **No global auto-registration** - `@task`, `@flow`, `@automation` decorators do NOT auto-register
+2. **Explicit command list** - `main(commands=[...])` builds registry from explicit list
+3. **CommandGroup** - Organizes commands with visual grouping in help output
+4. **Config** - Centralized config for `python_cmd`, `working_directory`
+5. **builtin_commands()** - Opt-in for inspect/generate-gha builtins
+6. **Context-based registry** - `get_task_registry()`, `get_flow_registry()` read from context
+7. **_recompose_tasks** - Dict on @taskclass classes for explicit registration
+
+Files changed:
+- `src/recompose/command_group.py` - NEW: Config and CommandGroup dataclasses
+- `src/recompose/cli.py` - Updated main(), added GroupedClickGroup, _build_grouped_cli()
+- `src/recompose/context.py` - Added RecomposeContext, registry getters
+- `src/recompose/task.py` - Removed global registry, added _recompose_tasks to @taskclass
+- `src/recompose/flow.py` - Removed global registry
+- `src/recompose/automation.py` - Removed global registry
+- `src/recompose/builtin_tasks.py` - Updated imports
+- `examples/app.py` - Updated to new API
+- All test files - Updated to use `._task_info`, `._flow_info` directly
+
+All 180 tests pass.
+
+## Target API
+
+```python
+import recompose
+from . import flows, python_tasks, automations
+
+if __name__ == "__main__":
+    config = recompose.Config(
+        python_cmd="uv run python",
+        working_directory="recompose",
+    )
+
+    commands = [
+        recompose.CommandGroup("Python", [
+            python_tasks.lint,
+            python_tasks.format,
+            python_tasks.test,
+        ]),
+        recompose.CommandGroup("Rust", [...]),
+        recompose.builtin_commands(),
+        recompose.CommandGroup("Helpers", [
+            flows.pre_push_checks,
+        ], hidden=True),
+    ]
+
+    automations = [
+        automations.on_pr,
+        automations.nightly,
+    ]
+
+    recompose.main(
+        config=config,
+        commands=commands,
+        automations=automations,
+    )
+```
+
+## Key Design Decisions
+
+1. **Flat namespace** - All commands accessible as `./run <command>`, not `./run python.lint`
+   - Groups only affect help output organization, not command names
+2. **Visual grouping in help** - Commands organized under group headings
+3. **Hidden groups** - Some commands available but not shown in default help
+4. **Explicit control** - Only listed tasks appear as CLI commands
+5. **Internal tasks** - Tasks can still be used by flows without CLI exposure
+
+## Implementation Plan
+
+### P11a - Config class and restructured main()
+
+**Create `Config` class:**
+```python
+# src/recompose/config.py
+from dataclasses import dataclass
+
+@dataclass
+class Config:
+    """Configuration for recompose CLI."""
+    python_cmd: str = "python"
+    working_directory: str | None = None
+    # Room for future config options
+```
+
+**Update `main()` signature:**
+```python
+# src/recompose/cli.py
+def main(
+    *,
+    config: Config | None = None,
+    commands: list[CommandGroup | TaskWrapper] | None = None,
+    automations: list[AutomationWrapper] | None = None,
+) -> None:
+    """Build and run the recompose CLI."""
+    # If commands is None, use old behavior (all registered tasks)
+    # for backwards compatibility during migration
+```
+
+**Migration notes:**
+- Keep old `main(python_cmd=..., working_directory=...)` working temporarily
+- Deprecation warning if old style used
+- Remove old style after migration complete
+
+**Completion criteria:**
+- Config class exists
+- main() accepts new parameters
+- Old API still works with deprecation warning
+- Tests pass
+
+### P11b - CommandGroup and explicit registration
+
+**Create `CommandGroup` class:**
+```python
+# src/recompose/command_group.py
+class CommandGroup:
+    """Groups commands under a heading in help output."""
+
+    def __init__(
+        self,
+        name: str,
+        commands: list[TaskWrapper | FlowWrapper],
+        *,
+        hidden: bool = False,
+    ):
+        self.name = name
+        self.commands = commands
+        self.hidden = hidden
+
+    def get_commands(self) -> list[TaskWrapper | FlowWrapper]:
+        """Return all commands in this group."""
+        return self.commands
+```
+
+**Create `builtin_commands()` function:**
+```python
+# src/recompose/builtin_tasks.py
+def builtin_commands() -> CommandGroup:
+    """Returns a CommandGroup with all built-in commands."""
+    return CommandGroup("Built-in", [
+        generate_gha,
+        inspect,
+        # ... other builtins
+    ])
+```
+
+**Update CLI generation:**
+```python
+# src/recompose/cli.py
+def _build_cli(
+    commands: list[CommandGroup | TaskWrapper],
+    config: Config,
+) -> click.Group:
+    """Build Click CLI from command groups."""
+
+    # Flatten all commands while tracking groups
+    command_to_group: dict[str, str] = {}
+    all_commands: list[TaskWrapper] = []
+
+    for item in commands:
+        if isinstance(item, CommandGroup):
+            for cmd in item.commands:
+                all_commands.append(cmd)
+                command_to_group[cmd.name] = item.name
+        else:
+            all_commands.append(item)
+            command_to_group[item.name] = "Other"
+
+    # Build flat CLI (same as before)
+    cli = click.Group(help="Recompose task runner")
+    for cmd in all_commands:
+        cli.add_command(_make_click_command(cmd, config))
+
+    # Store group metadata for help formatting
+    cli.command_groups = command_to_group
+
+    return cli
+```
+
+**Update help formatting:**
+```python
+# Override Click's format_commands() to show groups
+class GroupedGroup(click.Group):
+    def format_commands(self, ctx, formatter):
+        """Format commands grouped by category."""
+        # Group commands by their group name
+        groups = {}
+        for name, cmd in self.commands.items():
+            group_name = self.command_groups.get(name, "Other")
+            if group_name not in groups:
+                groups[group_name] = []
+            groups[group_name].append((name, cmd))
+
+        # Format each group
+        for group_name, commands in groups.items():
+            with formatter.section(group_name):
+                formatter.write_dl([
+                    (name, cmd.get_short_help_str(limit=45))
+                    for name, cmd in commands
+                ])
+```
+
+**Completion criteria:**
+- CommandGroup class works
+- builtin_commands() returns built-in tasks
+- CLI generation uses groups for help
+- Help output shows grouped commands
+- Commands still in flat namespace
+- Hidden groups don't show in default help
+- Tests pass
+
+### P11c - Migration and validation
+
+**Update examples/app.py:**
+```python
+#!/usr/bin/env python3
+import recompose
+from examples.tasks import lint, test, build
+from examples.flows import ci
+
+if __name__ == "__main__":
+    config = recompose.Config(
+        python_cmd="uv run python",
+        working_directory="recompose",
+    )
+
+    commands = [
+        recompose.CommandGroup("Quality", [
+            lint.lint,
+            lint.format_check,
+            lint.format,
+        ]),
+        recompose.CommandGroup("Testing", [
+            test.test,
+        ]),
+        recompose.CommandGroup("Build", [
+            build.build_wheel,
+            build.test_installed,
+        ]),
+        recompose.CommandGroup("Flows", [
+            ci.ci,
+        ]),
+        recompose.builtin_commands(),
+    ]
+
+    recompose.main(config=config, commands=commands)
+```
+
+**Verify key behaviors:**
+1. Only listed commands appear in CLI
+2. Tasks used by flows still work (internal registry separate from CLI)
+3. Hidden groups work correctly
+4. Help output is well-organized
+5. Backwards compat for old-style main() during transition
+
+**Update tests:**
+- Test CommandGroup creation and get_commands()
+- Test builtin_commands() returns expected builtins
+- Test CLI generation with groups
+- Test help formatting shows groups correctly
+- Test hidden groups don't appear in help
+- Test flat namespace (no nested commands)
+- Test flows can use non-CLI tasks
+
+**Remove old auto-registration:**
+- Remove auto-registration from @task decorator (for CLI)
+- Keep internal task registry (for flows to reference tasks)
+- Remove backwards-compat code after migration
+
+**Completion criteria:**
+- examples/app.py uses new API
+- All tests updated and passing
+- Help output looks good with groups
+- Hidden groups work
+- Non-CLI tasks usable by flows
+- Documentation updated
+
+## Design Notes
+
+### Why flat namespace?
+
+Groups are purely organizational in the help output. This keeps commands simple:
+```bash
+./run lint          # Not ./run python lint or ./run python.lint
+./run test
+./run build_wheel
+```
+
+If we need namespacing later, we can add it, but start simple.
+
+### Hidden vs internal
+
+- **Hidden commands**: In CLI but not shown in default help (use `--show-hidden`)
+- **Internal tasks**: Not in CLI at all, only usable programmatically/by flows
+
+### Future enhancements
+
+Could add later if needed:
+- Command aliases (e.g., `fmt` -> `format`)
+- Per-command visibility rules (not just group-level)
+- Nested command groups (subgroups)
+- Dynamic command generation
+- Command deprecation warnings
+
+## Open Questions
+
+1. Should `builtin_commands()` be a CommandGroup or just a list?
+   - Leaning toward CommandGroup for consistency
+2. How to handle `inspect` command? It's built-in but special
+   - Keep it as built-in, or make it always available?
+3. Should hidden groups accept `--show-hidden` flag, or different flag?
+   - `--all` might be clearer?
+4. Error handling for duplicate command names across groups?
+   - Should fail fast with clear error message
+
+## Dependencies
+
+- None - this is a refactor of existing functionality
+
+## Testing Strategy
+
+1. Unit tests for Config, CommandGroup classes
+2. Unit tests for builtin_commands()
+3. Integration tests for CLI generation with groups
+4. Integration tests for help formatting
+5. Test that flows can use non-CLI tasks
+6. Test backwards compatibility during migration
diff --git a/recompose/proj/P12_architecture_cleanup_TODO.md b/recompose/proj/P12_architecture_cleanup_TODO.md
new file mode 100644
index 000000000000..746b5d5b28dd
--- /dev/null
+++ b/recompose/proj/P12_architecture_cleanup_TODO.md
@@ -0,0 +1,345 @@
+# P12: Architecture Cleanup
+
+## Overview
+
+This project plan addresses code organization issues, naming inconsistencies, and code smells
+identified during the architecture review. The goal is to make the codebase more approachable
+and maintainable.
+
+## Completion Criteria
+
+- [ ] All modules have clear, single responsibilities
+- [ ] Naming is consistent and intuitive (no gha/github confusion)
+- [ ] Dead code and unused patterns removed
+- [ ] Code duplication eliminated
+- [ ] Imports are clean (no circular imports, minimal cross-dependencies)
+- [ ] All tests pass
+
+---
+
+## 1. Module Naming Clarification: `gha.py` vs `github.py`
+
+**Problem**: The distinction between `gha.py` and `github.py` is unclear.
+
+**Current State**:
+- `gha.py` (~840 lines): Workflow YAML generation, GHA actions (checkout, setup-python, etc.)
+- `github.py` (~390 lines): `gh` CLI wrapper (trigger workflows, check status)
+
+**Recommendation**: The naming is actually reasonable, but could be improved:
+- Rename `gha.py` → `workflow.py` (it generates workflow specs)
+- Keep `github.py` (it wraps the GitHub CLI)
+- Alternative: Rename `github.py` → `gh_cli.py` to be more specific
+
+**Tasks**:
+- [ ] Decide on final naming
+- [ ] Rename module(s)
+- [ ] Update all imports
+- [ ] Update documentation
+
+**Effort**: Small
+
+---
+
+## 2. Module Naming Clarification: `flow.py` vs `flowgraph.py`
+
+**Problem**: The distinction between `flow.py` and `flowgraph.py` is unclear.
+
+**Current State**:
+- `flow.py` (~530 lines): `@flow` decorator, `FlowInfo`, `FlowWrapper`, flow execution logic
+- `flowgraph.py` (~600 lines): `FlowPlan`, `TaskNode`, `InputPlaceholder`, graph operations
+
+**Analysis**: This split actually makes sense:
+- `flow.py` is about the decorator and execution
+- `flowgraph.py` is about the data structures for the graph
+
+**Recommendation**: The naming could be clearer:
+- Keep `flow.py` (decorator and execution)
+- Rename `flowgraph.py` → `plan.py` or `graph.py` (emphasizes it's the plan/graph data structures)
+
+**Tasks**:
+- [ ] Decide on final naming
+- [ ] Rename module
+- [ ] Update all imports
+
+**Effort**: Small
+
+---
+
+## 3. Consolidate Duplicate Code in `task.py` and `flow.py`
+
+**Problem**: The wrapper creation logic in `task.py` (lines 131-203) and the taskclass wrapper
+(lines 270-340) have significant duplication. Similarly, flow building has repeated patterns.
+
+**Code Smell**: Both `task()` and `taskclass` create wrappers that:
+1. Check if in flow-building mode (`get_current_plan()`)
+2. Validate kwargs against signature
+3. Create TaskNode if in flow mode
+4. Execute task with context management if not
+
+**Recommendation**: Extract common wrapper creation logic:
+```python
+def _create_task_wrapper(info: TaskInfo, execute_fn: Callable) -> Callable:
+    """Create a wrapper that handles flow-mode detection and execution."""
+    ...
+```
+
+**Tasks**:
+- [x] Extract common wrapper creation logic (`_validate_task_kwargs`, `_create_task_node`, `_run_with_context`)
+- [x] Refactor `task()` to use shared code
+- [x] Refactor `taskclass` to use shared code
+- [x] Ensure tests still pass
+
+**Effort**: Medium
+
+---
+
+## 4. `flow.py` is Doing Too Much
+
+**Problem**: `flow.py` had 530 lines handling:
+- Flow decorator
+- Flow context management
+- Flow execution (`_execute_plan`)
+- Subprocess isolation (`run_isolated_impl`)
+- Tree output rendering integration
+- Condition expression formatting
+
+**Resolution**: Rather than splitting, we simplified:
+- Removed `_execute_plan` entirely - flows always use subprocess isolation
+- This matches GHA behavior and reduces complexity
+- `flow.py` is now ~350 lines and focused on the decorator and subprocess execution
+
+**Tasks**:
+- [x] Remove `_execute_plan` - flows always use subprocess isolation
+- [x] Remove `FlowContext`, `TaskExecution`, `TaskFailed` - no longer needed
+- [x] Update tests to use module-level test app (subprocess compatible)
+- [x] Ensure tests pass
+- [x] Extract `run_isolated_impl` to `local_executor.py` (flow.py 350→185 lines)
+
+**Effort**: Medium (but simplified significantly)
+
+---
+
+## 5. `cli.py` is Too Large (900+ lines)
+
+**Problem**: `cli.py` had 933 lines handling:
+- Click command building (`_build_command`, `_build_flow_command`)
+- Type conversion (`_get_click_type`)
+- Flow execution modes (setup, step, remote, status)
+- GitHub integration (`_handle_flow_status`, `_handle_flow_remote`)
+- Registry building
+- Grouped CLI generation
+
+**Resolution**: Moved GitHub display functions to `gh_cli.py`:
+- `_handle_flow_status` → `gh_cli.display_flow_status`
+- `_handle_flow_remote` → `gh_cli.trigger_flow_remote`
+- `cli.py` reduced from 933 to 796 lines
+- GitHub-related display logic now lives with other GitHub CLI functionality
+
+**Tasks**:
+- [x] Move `_handle_flow_status` to `gh_cli.py` as `display_flow_status`
+- [x] Move `_handle_flow_remote` to `gh_cli.py` as `trigger_flow_remote`
+- [x] Update cli.py to call the new functions
+- [x] Verify tests pass
+
+**Effort**: Small (cleaner split than originally planned)
+
+---
+
+## 6. Remove Unnecessary Topological Sort
+
+**Problem**: `FlowPlan.get_execution_order()` implements Kahn's algorithm for topological
+sorting (~40 lines), but it's unnecessary.
+
+**Analysis**: Nodes are added to `plan.nodes` in the order they're called during flow
+function execution. Since Python executes sequentially and a TaskNode can only be used
+*after* it's created, `self.nodes` is already in valid execution order by construction.
+
+The topological sort produces the same result (or a different but still valid order for
+independent tasks), but adds complexity without benefit.
+
+**Current usage of `get_execution_order()`:**
+- `flow.py:161` - `_execute_plan()` - could use `self.nodes` directly
+- `cli.py:400` - `--setup` display - could use `self.nodes`
+- `builtin_tasks.py:357` - `inspect` task - could use `self.nodes`
+
+**Tasks**:
+- [x] Replace `get_execution_order()` calls with `plan.nodes`
+- [x] Remove `get_execution_order()` method
+- [x] Remove `get_parallelizable_groups()` - removed along with `visualize()`
+- [x] Update ARCHITECTURE.md (already didn't mention topological sort, just explains natural ordering)
+- [x] Verify tests pass
+
+**Effort**: Small
+
+---
+
+## 7. Unused/Vestigial Code in `workspace.py`
+
+**Problem**: Backwards compatibility aliases that may no longer be needed:
+```python
+# Keep old names for backwards compatibility
+_serialize_value = serialize_value
+_deserialize_value = deserialize_value
+```
+
+**Tasks**:
+- [x] Check if these aliases are used anywhere
+- [x] Remove if unused
+
+**Effort**: Trivial
+
+---
+
+## 8. Duplicate Git Root Finding
+
+**Problem**: `_find_git_root()` is implemented in multiple places:
+- `builtin_tasks.py:23-32`
+- `github.py:296-308` (`find_git_root`)
+
+**Recommendation**: Consolidate into `github.py` and import where needed.
+
+**Tasks**:
+- [x] Remove duplicate from `builtin_tasks.py`
+- [x] Import from `github.py`
+- [x] Update any direct subprocess calls to use shared function
+
+**Effort**: Trivial
+
+---
+
+## 9. Context Module Has Too Many Globals
+
+**Problem**: `context.py` has multiple module-level globals:
+```python
+_debug_mode: bool = False
+_entry_point: tuple[str, str] | None = None
+_python_cmd: str = "python"
+_working_directory: str | None = None
+```
+
+These are all set by `main()` and accessed globally. While this works, it's fragile.
+
+**Recommendation**: Consider consolidating into a single `RecomposeConfig` object:
+```python
+@dataclass
+class RecomposeConfig:
+    debug_mode: bool = False
+    entry_point: tuple[str, str] | None = None
+    python_cmd: str = "python"
+    working_directory: str | None = None
+
+_config: RecomposeConfig | None = None
+```
+
+**Tasks**:
+- [ ] Decide if consolidation is worth the churn
+- [ ] If yes, create config object and migrate
+- [ ] Update all accessors
+
+**Effort**: Medium (lots of call sites)
+
+---
+
+## 10. `gha.py` Virtual Task Factories
+
+**Problem**: `setup_python()`, `setup_uv()`, etc. return `GHAAction` objects but are called
+like they're tasks. The return type is inconsistent with their usage.
+
+**Current**:
+```python
+def setup_python(version: str = "3.11", **kwargs: Any) -> GHAAction:
+    return GHAAction("setup_python", ...)
+```
+
+**Usage in flows**:
+```python
+setup_python(version="3.11")()  # Returns Result[None] or TaskNode
+# Or sometimes:
+recompose.gha.setup_python("3.11")  # Relies on GHAAction.__call__
+```
+
+**Recommendation**: The pattern is actually fine - they're factory functions that return
+callable objects. Just needs documentation.
+
+**Tasks**:
+- [x] Add docstring explaining the factory pattern
+- [ ] Consider adding `@overload` for better type hints (deferred)
+
+**Effort**: Trivial
+
+---
+
+## 11. Document Error Handling Convention
+
+**Observation**: Some internal functions return `Result[T]` while others raise exceptions:
+- `workspace.py:read_params()` raises `FileNotFoundError`
+- `workspace.py:read_step_result()` returns `Err()`
+
+**Analysis**: This is actually **intentional and correct**:
+- `read_params()` missing = **programming error** (workspace not set up) → exception
+- `read_step_result()` missing = **expected condition** (step not run yet) → `Err`
+
+The pattern follows: exceptions for programming errors, `Result` for recoverable/expected errors.
+This is internal framework code, not user-facing task code.
+
+**Tasks**:
+- [x] Document this convention in ARCHITECTURE.md (already done)
+- [ ] Audit other internal functions to ensure they follow the same pattern (deferred)
+
+**Effort**: Trivial (just documentation)
+
+---
+
+## 12. Test Coverage Gaps
+
+**Current test files**:
+- `test_task.py`, `test_flow.py`, `test_automation.py` - Core functionality
+- `test_cli.py` - CLI generation
+- `test_gha.py`, `test_github.py` - GHA integration
+- `test_workspace.py` - Serialization
+- `test_result.py`, `test_context.py`, `test_subprocess.py` - Utilities
+
+**Missing/Light Coverage**:
+- `conditional.py` / `expr.py` - No dedicated tests (tested through `test_gha.py`?)
+- `output.py` - Tree rendering (visual, hard to test)
+- `builtin_tasks.py` - `inspect` task
+
+**Tasks**:
+- [ ] Add tests for `conditional.py` / `expr.py`
+- [ ] Add tests for `inspect` task
+- [ ] Consider integration tests for full flow execution
+
+**Effort**: Medium
+
+---
+
+## Priority Order
+
+### Phase 1: Quick Wins (Low effort, high clarity) ✅ DONE
+1. **#6**: Remove unnecessary topological sort - ✅ Done
+2. **#7**: Unused backwards compatibility aliases - ✅ Done
+3. **#8**: Duplicate git root finding - ✅ Done
+4. **#10**: GHAAction documentation - ✅ Done
+5. **#11**: Document error handling convention - ✅ Already in ARCHITECTURE.md
+
+### Phase 2: Naming Clarity (Medium effort, high impact) ✅ DONE
+6. **#1**: gha.py vs github.py naming - ✅ Done: kept gha.py, renamed github.py → gh_cli.py
+7. **#2**: flow.py vs flowgraph.py naming - ✅ Done: renamed flowgraph.py → plan.py
+
+### Phase 3: Code Organization (Medium-Large effort) ✅ DONE
+8. **#3**: Consolidate duplicate wrapper code - ✅ Done: extracted _validate_task_kwargs, _create_task_node, _run_with_context
+9. **#4**: Split flow.py - ✅ Done: removed _execute_plan, flows now always use subprocess isolation
+10. **#5**: Split cli.py - ✅ Done: moved GitHub handlers to gh_cli.py (cli.py 933→796 lines)
+
+### Phase 4: Polish
+11. **#9**: Context globals consolidation - Nice to have
+12. **#12**: Test coverage - Ongoing
+
+---
+
+## Notes
+
+- Each phase should be a separate PR for easier review
+- Run full test suite after each change: `uv run pytest`
+- Run linter after each change: `uv run ruff check`
+- Update `ARCHITECTURE.md` if module structure changes
diff --git a/recompose/proj/P13_taskclass_in_flows_TODO.md b/recompose/proj/P13_taskclass_in_flows_TODO.md
new file mode 100644
index 000000000000..9b05719a5b48
--- /dev/null
+++ b/recompose/proj/P13_taskclass_in_flows_TODO.md
@@ -0,0 +1,205 @@
+# P13: TaskClass in Flows
+
+## Goal
+
+Enable TaskClasses to be used as first-class entities in flows, where:
+1. Instantiation (`Venv(location=...)`) creates a TaskNode in flows
+2. Method calls (`venv.install_wheel(...)`) create TaskNodes in flows
+3. TaskClass state is implicitly serialized after each method runs
+4. TaskClasses can be passed to other tasks, which can use their methods as regular functions
+
+## Motivating Example
+
+**Current approach** (separate tasks, string paths):
+```python
+@recompose.flow
+def wheel_test(*, full_tests: bool = False) -> None:
+    wheel = build_wheel()
+    venv = create_test_venv()
+    install_wheel(wheel=wheel.value(), venv=venv.value())
+    smoke_test(venv=venv.value())
+    with recompose.run_if(full_tests):
+        test_installed(venv=venv.value())
+```
+
+**New approach** (TaskClass with methods):
+```python
+@recompose.flow
+def wheel_test(*, venv_location: Path = recompose.tempdir(), full_tests: bool = False) -> None:
+    wheel = build_wheel()
+    venv = Venv(location=venv_location)
+    venv.install_wheel(wheel=wheel.value())
+    smoke_test(venv=venv)  # Pass TaskClass directly (no .value() needed)
+    with recompose.run_if(full_tests):
+        test_installed(venv=venv)
+```
+
+The `smoke_test` task receives a `Venv` instance and can call `venv.run(...)` as a regular method.
+
+## Design
+
+### TaskClass Semantics
+
+1. **`@taskclass` decorator on class** - Marks the class as a TaskClass
+2. **`@task` decorator on methods** - Marks methods that become flow steps
+3. **`__init__` is implicitly a task** - No decorator needed; instantiation becomes a step
+4. **Non-decorated methods** - Regular methods, callable when TaskClass is passed to other tasks
+
+### Dual Nature in Flows
+
+When used in a flow context:
+- `Venv(location=...)` returns a `TaskClassNode` (new type, similar to `TaskNode`)
+- `venv.install_wheel(...)` returns a `TaskNode` for the method result
+- The `TaskClassNode` tracks the latest method call for dependency ordering
+- `TaskClassNode` is passed directly to tasks (no `.value()` needed)
+
+### State Serialization
+
+After any TaskClass method runs:
+1. The method's return value is serialized (as today)
+2. The TaskClass instance state is also serialized to workspace
+3. Uses Pydantic for serialization (TaskClass should be a Pydantic model or dataclass)
+
+When a TaskClass is passed to another task:
+1. The receiving task deserializes the TaskClass from workspace
+2. After the task completes, the TaskClass state is re-serialized (implicit tracking)
+
+### Dependency Tracking
+
+```python
+venv = Venv(location=loc)           # step_01_venv.__init__
+venv.install_wheel(wheel=w)         # step_02_venv.install_wheel, depends on step_01
+smoke_test(venv=venv)               # step_03_smoke_test, depends on step_02 (not just step_01!)
+```
+
+The `TaskClassNode` must track its "current version" (latest step that modified it).
+
+## Implementation Plan
+
+### Phase 1: TaskClassNode Type
+
+1. Create `TaskClassNode` in `plan.py`:
+   - Generic over the TaskClass type: `TaskClassNode[Venv]`
+   - Tracks the underlying class type
+   - Tracks `init_node: TaskNode` for the instantiation step
+   - Tracks `current_node: TaskNode` for the latest method call
+   - Does NOT need Result-like interface (it's a node, not a result)
+
+2. Update `taskclass` decorator:
+   - Detect flow context during instantiation
+   - Return `TaskClassNode` in flow context, actual instance otherwise
+
+### Phase 2: Method Calls as TaskNodes
+
+1. When `@task` method is called on a `TaskClassNode`:
+   - Create a new `TaskNode` for the method
+   - Add dependency on `current_node` of the `TaskClassNode`
+   - Update `TaskClassNode.current_node` to the new node
+   - Return `TaskNode` for the method result
+
+2. Update TaskNode to track TaskClass context:
+   - `taskclass_node: TaskClassNode | None` - The TaskClass this method belongs to
+   - Used for serialization and dependency tracking
+
+### Phase 3: State Serialization
+
+1. Add serialization support for TaskClasses:
+   - Require TaskClass to be a Pydantic BaseModel or dataclass
+   - Serialize to `{workspace}/taskclass_{step_name}.json`
+
+2. Update `local_executor.py`:
+   - After method task completes, serialize TaskClass state
+   - Before method task runs, deserialize TaskClass state from previous step
+
+3. Update GHA generation:
+   - Include TaskClass state serialization/deserialization in steps
+
+### Phase 4: Passing TaskClass to Other Tasks
+
+1. When a task receives a TaskClass parameter:
+   - Detect `TaskClassNode` in kwargs during plan building
+   - Add dependency on `current_node`
+   - Mark the parameter for implicit state tracking
+
+2. Implicit state serialization:
+   - After task completes, serialize any TaskClass params
+   - This handles cases where the task mutates the TaskClass
+
+### Phase 5: Update Examples
+
+1. Create `Venv` TaskClass:
+   ```python
+   @recompose.taskclass
+   class Venv:
+       location: Path
+
+       def __init__(self, *, location: Path):
+           self.location = location
+           # Create venv...
+
+       @recompose.task
+       def install_wheel(self, *, wheel: str) -> recompose.Result[None]:
+           # Install wheel...
+
+       def run(self, *args: str) -> recompose.RunResult:
+           # Run command in venv (regular method)
+           python = self.location / "bin" / "python"
+           return recompose.run(str(python), *args)
+   ```
+
+2. Create `Counter` TaskClass for testing:
+   ```python
+   @recompose.taskclass
+   class Counter:
+       count: int = 0
+
+       def __init__(self, *, start: int = 0):
+           self.count = start
+
+       @recompose.task
+       def increment(self, *, amount: int = 1) -> recompose.Result[int]:
+           self.count += amount
+           return recompose.Ok(self.count)
+   ```
+
+3. Update `wheel_test` flow to use `Venv` TaskClass
+
+## Testing Strategy
+
+1. **Unit tests for TaskClassNode**:
+   - Creation in flow context
+   - Method call creates TaskNode with correct dependencies
+   - Result-like interface works
+
+2. **Unit tests for state serialization**:
+   - Counter TaskClass: increment, serialize, deserialize, verify count
+   - Round-trip through workspace
+
+3. **Integration tests**:
+   - Flow with Counter: multiple increments, verify final state
+   - Flow with Venv: create, install, smoke test
+   - GHA generation produces correct YAML
+
+4. **End-to-end**:
+   - Run `wheel_test` flow locally
+   - Verify it works the same as current implementation
+
+## Completion Criteria
+
+- [x] `TaskClassNode` type implemented
+- [x] `@taskclass` returns `TaskClassNode` in flow context
+- [x] Method calls on `TaskClassNode` create `TaskNode` with correct dependencies
+- [x] TaskClass state serializes/deserializes correctly
+- [x] Passing TaskClass to tasks works with implicit state tracking
+- [x] `Counter` example works (stateful test case) - in test_taskclass_flow.py
+- [x] `Venv` TaskClass implemented - in examples/tasks/virtual_env.py
+- [x] `wheel_test_v2` flow uses `Venv` (kept original wheel_test for comparison)
+- [ ] GHA generation works for TaskClass flows
+- [x] All tests pass (193/193 passing)
+
+## Notes
+
+- TaskClasses should be simple data holders (Pydantic models or dataclasses)
+- Complex state (like file handles) won't serialize - design for Path-based state
+- The `Venv` case is easy because state is on filesystem, not in object
+- The `Counter` case tests true in-object state serialization
diff --git a/recompose/proj/P14_architectural_pivot_DONE.md b/recompose/proj/P14_architectural_pivot_DONE.md
new file mode 100644
index 000000000000..18870fa6851d
--- /dev/null
+++ b/recompose/proj/P14_architectural_pivot_DONE.md
@@ -0,0 +1,675 @@
+# P14: Architectural Pivot - Tasks as Jobs
+
+## The Fundamental Shift
+
+**Old model:** Flow = GHA Job, Task = GHA Step
+- Each flow maps to one workflow with one job
+- Each task in the flow becomes a step within that job
+- Complex state serialization needed between steps
+- Graph-building at decoration time with InputPlaceholders and TaskNodes
+
+**New model:** Task = GHA Job, Automation = Multi-Job Workflow
+- Each task can map to its own GHA job (with setup + run step)
+- Automations orchestrate multiple tasks/jobs with inferred `needs:` dependencies
+- Flows (hierarchical task composition) are just regular Python - no graph building
+- Clean separation: local execution vs CI orchestration
+
+## Core Design Principles
+
+1. **What you see is what you run**: Generated workflow steps use the same CLI invocation a user would type locally
+2. **Explicit over magic**: `.job()` calls are explicit; dependencies inferred from input references
+3. **Validate at construction time**: Automations validate during decoration/construction
+4. **String outputs for GHA**: Embrace GitHub's string-based job outputs
+
+---
+
+## Task Outputs
+
+Tasks can declare outputs in the decorator and set them via a helper:
+
+```python
+@recompose.task(outputs=["wheel_path", "version"])
+def build_wheel() -> Result[None]:
+    """Build a wheel and output its path."""
+    result = run("uv", "build", "--wheel")
+
+    # Set outputs (validates against declared outputs)
+    recompose.set_output("wheel_path", "/dist/pkg-1.0.0.whl")
+    recompose.set_output("version", "1.0.0")
+
+    return Ok(None)
+```
+
+- `recompose.set_output(name, value)` - Sets an output value
+  - Raises error if `name` not declared in `@task(outputs=[...])`
+  - Writes to `GITHUB_OUTPUT` when running in GHA
+  - Stores in context for local access
+- Outputs are available on the Result: `result.outputs["wheel_path"]`
+
+---
+
+## Artifacts
+
+Tasks can produce artifacts (files to be shared between jobs or preserved):
+
+```python
+@recompose.task(artifacts=["wheel"])
+def build_wheel() -> Result[None]:
+    """Build a wheel."""
+    result = run("uv", "build", "--wheel")
+    wheel_path = Path("dist/pkg-1.0.0.whl")
+
+    # Save artifact (validates against declared artifacts)
+    recompose.save_artifact("wheel", wheel_path)
+
+    return Ok(None)
+```
+
+- `artifacts=["name"]` in decorator declares artifact outputs
+- `recompose.save_artifact(name, path)` - Saves artifact
+  - Validates name against declared artifacts
+  - In GHA: automation adds `actions/upload-artifact` step after task
+  - Locally: records path for downstream tasks
+
+### Artifact as Job Input
+
+Artifacts can be inputs to downstream jobs:
+
+```python
+@recompose.task
+def test_wheel(wheel: recompose.Artifact) -> Result[None]:
+    """Test an installed wheel."""
+    # wheel is a Path to the artifact
+    run("pip", "install", str(wheel))
+    return Ok(None)
+```
+
+In automation:
+```python
+@recompose.automation
+def build_and_test() -> None:
+    build_job = recompose.job(build_wheel)
+
+    test_job = recompose.job(
+        test_wheel,
+        inputs={
+            "wheel": build_job.artifact("wheel"),  # Returns ArtifactRef
+        },
+    )
+```
+
+**Generated GHA:**
+- `build_wheel` job has `actions/upload-artifact` step after task
+- `test_wheel` job has `actions/download-artifact` step before task
+- Downloaded path passed as `--wheel=/path/to/artifact`
+
+**Local CLI:**
+```bash
+./run test_wheel --wheel=/dist/pkg-1.0.0.whl
+```
+
+---
+
+## Secrets
+
+Tasks that need secrets must declare them in the decorator:
+
+```python
+@recompose.task(secrets=["PYPI_TOKEN", "AWS_ACCESS_KEY"])
+def publish_wheel() -> Result[None]:
+    """Publish wheel to PyPI."""
+    token = recompose.get_secret("PYPI_TOKEN")
+    # Use token...
+    return Ok(None)
+```
+
+- `secrets=["NAME"]` in decorator declares required secrets
+- `recompose.get_secret(name)` - Gets secret value
+  - Validates name against declared secrets
+  - In GHA: automation adds secret to job's env from `${{ secrets.NAME }}`
+  - Locally: reads from `~/.recompose/secrets.toml` (scoped to declared secrets only)
+
+**Local secrets file** (`~/.recompose/secrets.toml`):
+```toml
+PYPI_TOKEN = "pypi-xxx..."
+AWS_ACCESS_KEY = "AKIA..."
+AWS_SECRET_KEY = "..."
+```
+
+Tasks only see secrets they declared - prevents accidental secret leakage.
+
+**Generated GHA:**
+```yaml
+jobs:
+  publish_wheel:
+    runs-on: ubuntu-latest
+    env:
+      PYPI_TOKEN: ${{ secrets.PYPI_TOKEN }}
+      AWS_ACCESS_KEY: ${{ secrets.AWS_ACCESS_KEY }}
+    steps:
+      - ...
+      - run: ./run publish_wheel
+```
+
+---
+
+## Visual Step Grouping
+
+For organizing output within a task, use `@step` decorator or `with recompose.step()` context manager:
+
+```python
+@recompose.task
+def build_and_test() -> Result[None]:
+    with recompose.step("Compile"):
+        run("cargo", "build", "--release")
+
+    with recompose.step("Run tests"):
+        run("cargo", "test")
+
+    with recompose.step("Package"):
+        run("tar", "-czf", "dist.tar.gz", "target/release/binary")
+
+    return Ok(None)
+```
+
+**Local output** (nested tree):
+```
+▶ build_and_test
+  ├─ Compile
+  │  └─ cargo build --release
+  ├─ Run tests
+  │  └─ cargo test
+  └─ Package
+     └─ tar -czf dist.tar.gz target/release/binary
+✓ build_and_test (12.3s)
+```
+
+**GHA output** (flat groups):
+```
+::group::Compile
+cargo build --release
+::endgroup::
+::group::Run tests
+cargo test
+::endgroup::
+::group::Package
+tar -czf dist.tar.gz target/release/binary
+::endgroup::
+```
+
+Steps can also be used as a decorator for helper functions:
+
+```python
+@recompose.step("Compile")
+def compile_code():
+    run("cargo", "build", "--release")
+
+@recompose.task
+def build() -> Result[None]:
+    compile_code()  # Output grouped under "Compile"
+    return Ok(None)
+```
+
+---
+
+## Setup Dependencies
+
+Tasks can declare their setup requirements in the decorator:
+
+```python
+@recompose.task(
+    setup=[
+        recompose.setup_rust(toolchain="nightly"),
+        recompose.setup_python("3.12"),
+    ]
+)
+def build_rust_extension() -> Result[None]:
+    """Build a Rust extension that needs both Rust and Python."""
+    ...
+```
+
+- `setup=[...]` in decorator declares setup steps for this task
+- Overrides app-level default setup when specified
+- In GHA: job uses task's setup steps instead of defaults
+- Locally: setup steps are no-ops (user's local env)
+
+---
+
+## Dispatchable Tasks
+
+Simple one-liner to create a workflow-dispatchable version of a task:
+
+```python
+lint_workflow = recompose.make_dispatchable(lint)
+
+# Or for tasks with parameters:
+test_workflow = recompose.make_dispatchable(
+    test,
+    inputs={
+        "verbose": recompose.BoolInput(default=False),
+    },
+)
+```
+
+This generates a single-job workflow that:
+- Has workflow_dispatch trigger with specified inputs
+- Runs the task via the project's CLI entry point
+
+---
+
+## Automations
+
+Automations define multi-job workflows. The decorator tracks `.job()` calls via context:
+
+```python
+@recompose.automation(
+    trigger=recompose.on_push(branches=["main"]) | recompose.on_pull_request(),
+)
+def ci() -> None:
+    """CI pipeline with parallel lint/format and sequential test."""
+    lint_job = recompose.job(lint)
+    format_job = recompose.job(format_check)
+
+    # Dependency inferred: test depends on lint_job and format_job completing
+    test_job = recompose.job(test, needs=[lint_job, format_job])
+```
+
+- Name auto-generated from function: `ci` → workflow name "ci"
+- No return value needed - jobs tracked via context
+- `needs` can be explicit or inferred from input references
+
+### Automation with Inputs
+
+```python
+@recompose.automation
+def deploy(environment: recompose.InputParam, version: recompose.InputParam = "latest") -> None:
+    """Deploy to specified environment."""
+    deploy_job = recompose.job(
+        deploy_task,
+        inputs={
+            "env": environment,
+            "ver": version,
+        },
+    )
+```
+
+- `recompose.InputParam` in signature → `workflow_dispatch.inputs` in YAML
+- Required vs optional determined by presence of default
+- Inputs can be passed directly to job inputs
+
+### Job Output References (Inferred Dependencies)
+
+```python
+@recompose.automation
+def build_and_test() -> None:
+    # build_job knows from @task(outputs=["wheel_path"]) that this output exists
+    build_job = recompose.job(build_wheel)
+
+    # Dependency AUTOMATICALLY inferred because we reference build_job.get()
+    test_job = recompose.job(
+        test_wheel,
+        inputs={
+            "wheel_path": build_job.get("wheel_path"),
+        },
+    )
+```
+
+- `build_job.get("wheel_path")` returns a `JobOutputRef` object
+- When a job's inputs contain a `JobOutputRef`, the dependency is inferred
+- Validation at construction: error if output name not in task's declared outputs
+
+### Matrix Jobs
+
+```python
+@recompose.automation
+def test_matrix() -> None:
+    test_job = recompose.job(
+        test,
+        matrix={
+            "python": ["3.10", "3.11", "3.12"],
+            "os": ["ubuntu-latest", "macos-latest"],
+        },
+        runs_on="${{ matrix.os }}",
+    )
+```
+
+### Conditional Jobs
+
+Jobs can have conditions using a lightweight expression algebra (similar to old flow conditionals).
+Maps to GHA job-level `if:` spec.
+
+```python
+@recompose.automation
+def conditional_deploy(
+    environment: recompose.InputParam,
+    skip_tests: recompose.InputParam = False,
+) -> None:
+    test_job = recompose.job(
+        test,
+        # Condition using InputParam - skipped if skip_tests is true
+        condition=~skip_tests,
+    )
+
+    # Deploy only to prod on main branch
+    deploy_job = recompose.job(
+        deploy,
+        needs=[test_job],
+        condition=(environment == "prod") & recompose.github.ref_name.eq("main"),
+    )
+```
+
+**Expression primitives:**
+- `param == value` - InputParam equality
+- `param != value` - InputParam inequality
+- `~param` - Negation (for boolean params)
+- `expr & expr` - AND
+- `expr | expr` - OR
+- `recompose.github.event_name` - GitHub context references
+- `recompose.github.ref_name`
+- `recompose.github.ref_type`
+- etc.
+
+**Generated GHA:**
+```yaml
+jobs:
+  test:
+    if: ${{ inputs.skip_tests != true }}
+    ...
+
+  deploy:
+    needs: [test]
+    if: ${{ inputs.environment == 'prod' && github.ref_name == 'main' }}
+    ...
+```
+
+**Local execution:**
+- Conditions evaluated at runtime with actual parameter values
+- Jobs with false conditions are skipped (shown in output)
+
+---
+
+## Generated Workflow Example
+
+For this automation:
+```python
+@recompose.automation(
+    trigger=recompose.on_push(branches=["main"]),
+)
+def ci() -> None:
+    lint_job = recompose.job(lint)
+    format_job = recompose.job(format_check)
+    test_job = recompose.job(test, needs=[lint_job, format_job])
+```
+
+Generates:
+```yaml
+# GENERATED FILE - DO NOT EDIT
+name: ci
+on:
+  push:
+    branches: [main]
+
+jobs:
+  lint:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v4
+      - uses: actions/setup-python@v5
+        with:
+          python-version: "3.12"
+      - uses: astral-sh/setup-uv@v4
+      - name: lint
+        run: ./run lint
+
+  format_check:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v4
+      - uses: actions/setup-python@v5
+        with:
+          python-version: "3.12"
+      - uses: astral-sh/setup-uv@v4
+      - name: format_check
+        run: ./run format_check
+
+  test:
+    runs-on: ubuntu-latest
+    needs: [lint, format_check]
+    steps:
+      - uses: actions/checkout@v4
+      - uses: actions/setup-python@v5
+        with:
+          python-version: "3.12"
+      - uses: astral-sh/setup-uv@v4
+      - name: test
+        run: ./run test
+```
+
+Note: The step command is exactly what a developer would type locally!
+
+---
+
+## App Configuration
+
+The App needs to know the CLI entry point for workflow generation:
+
+```python
+app = recompose.App(
+    entry_point="./run",  # How to invoke this app in workflows
+    working_directory="recompose",
+    setup_steps=[
+        recompose.checkout(),
+        recompose.setup_python("3.12"),
+        recompose.setup_uv(),
+    ],
+    commands=[
+        recompose.CommandGroup("Quality", [lint, format_check]),
+        recompose.CommandGroup("Testing", [test]),
+        recompose.builtin_commands(),
+    ],
+    automations=[ci, build_and_test],
+)
+```
+
+- `entry_point`: The command used in workflow steps (e.g., `./run`, `uv run python -m myapp`)
+- `setup_steps`: Default GHA setup steps for all jobs (can be overridden per-job)
+- `automations`: List of automation functions to generate workflows for
+
+---
+
+## What Gets Removed/Simplified
+
+1. **`@flow` decorator** - Gone. Just use tasks that call tasks.
+2. **`FlowPlan`, `TaskNode`, `InputPlaceholder`** - Gone. No graph building.
+3. **`@taskclass` and all TaskClass machinery** - Gone entirely. No class-state sync across jobs.
+4. **`execute_flow_isolated()`** - Gone. Local execution is just function calls.
+5. **`workspace.py` step serialization** - Gone. No inter-step state.
+6. **`_run_step.py`** - Gone. Use the app's CLI directly.
+7. **Complex type serialization** - Gone. GHA outputs are strings.
+8. **`@task` on class methods** - Gone. No way to construct class in GHA job context.
+
+---
+
+## Local vs CI Execution
+
+**Local:**
+```bash
+./run test
+```
+- Calls `test()` directly
+- If `test` calls other tasks, they execute hierarchically
+- Tree-view shows the hierarchy
+- Outputs accessible via `result.outputs`
+
+**CI (via automation):**
+```bash
+./run generate-gha
+```
+- Generates workflow YAML with separate jobs
+- Each job runs ONE task via `./run task_name --args`
+- Jobs run in parallel where dependencies allow
+- Outputs passed via GHA job outputs mechanism
+
+---
+
+## API Summary
+
+### Decorators
+- `@recompose.task(outputs=[...], artifacts=[...], secrets=[...], setup=[...])` - Mark function as task
+- `@recompose.automation(trigger=...)` - Mark function as automation
+
+### Task Helpers
+- `recompose.set_output(name, value)` - Set a task output (validates against declared outputs)
+- `recompose.save_artifact(name, path)` - Save an artifact (validates against declared artifacts)
+- `recompose.get_secret(name)` - Get a secret value (validates against declared secrets)
+- `recompose.run(...)` - Run subprocess (unchanged)
+- `recompose.out(...)`, `recompose.dbg(...)` - Output helpers (unchanged)
+- `recompose.step(name)` - Context manager for visual grouping (nested locally, flat `::group::` in GHA)
+- `@recompose.step(name)` - Decorator form for helper functions
+
+### Automation Helpers
+- `recompose.job(task, inputs={}, needs=[], runs_on=..., matrix={}, condition=...)` - Define a job
+- `job.get("output_name")` - Reference a job's output (creates dependency)
+- `job.artifact("artifact_name")` - Reference a job's artifact (creates dependency + download)
+
+### Condition Expressions
+- `param == value`, `param != value` - Equality/inequality
+- `~expr` - Negation
+- `expr & expr` - AND
+- `expr | expr` - OR
+- `recompose.github.event_name`, `.ref_name`, `.ref_type`, etc. - GitHub context
+
+### Dispatchable
+- `recompose.make_dispatchable(task, inputs={})` - Create dispatchable workflow for task
+
+### Triggers
+- `recompose.on_push(branches=[], tags=[])`
+- `recompose.on_pull_request(branches=[])`
+- `recompose.on_schedule(cron="...")`
+- `recompose.on_workflow_dispatch()`
+- Triggers can be combined with `|`
+
+### Input Types
+- `recompose.InputParam` - Type hint for automation inputs
+- `recompose.Artifact` - Type hint for artifact inputs to tasks
+- `recompose.StringInput(default=...)` - String workflow input
+- `recompose.BoolInput(default=...)` - Boolean workflow input
+- `recompose.ChoiceInput(choices=[...], default=...)` - Choice workflow input
+
+### Setup Steps
+- `recompose.checkout()`
+- `recompose.setup_python(version)`
+- `recompose.setup_uv(version="latest")`
+- `recompose.setup_rust(toolchain="stable")`
+
+---
+
+## Resolved Design Decisions
+
+1. **TaskClass**: Removed entirely. No class-state sync across GHA jobs.
+
+2. **Artifacts**: Tasks declare `artifacts=["name"]`, use `save_artifact(name, path)`.
+   Automation adds upload/download steps. `recompose.Artifact` type for inputs.
+
+3. **Secrets**: Tasks declare `secrets=["NAME"]`, use `get_secret(name)`.
+   GHA gets from `${{ secrets.NAME }}`, local from `~/.recompose/secrets.toml`.
+
+4. **Setup overrides**: Via `@task(setup=[...])` decorator parameter.
+
+5. **Conditional jobs**: Via `condition=` parameter on `job()`.
+   Uses expression algebra (`&`, `|`, `~`, `==`, `!=`). Maps to GHA job-level `if:`.
+   No step-level conditionals needed since each job runs one task.
+
+## Resolved Design Decisions (continued)
+
+6. **Visual step grouping**: `@step` decorator (or context manager) for output grouping.
+   - Takes optional `name` parameter for header
+   - **Locally**: Nested tree-view output (full hierarchy)
+   - **In GHA**: Flat `::group::` / `::endgroup::` (no nesting support in GHA)
+   - Useful for organizing output when tasks have many sub-operations
+
+---
+
+## Implementation Plan
+
+### Phase 1: Core Infrastructure - Task Decorator Enhancements ✅ COMPLETE
+- [x] Add `outputs` parameter to `@task` decorator
+- [x] Add `artifacts` parameter to `@task` decorator
+- [x] Add `secrets` parameter to `@task` decorator
+- [x] Add `setup` parameter to `@task` decorator
+- [x] Implement `recompose.set_output()` helper (with validation)
+- [x] Implement `recompose.save_artifact()` helper (with validation)
+- [x] Implement `recompose.get_secret()` helper (with validation)
+- [x] Add outputs/artifacts to Result type
+- [x] Implement local secrets file (`~/.recompose/secrets.toml`)
+- [x] Implement `recompose.step()` context manager and decorator (nested locally, `::group::` in GHA)
+
+### Phase 2: Automation Framework ✅ COMPLETE
+- [x] Create `@automation` decorator with context tracking
+- [x] Implement `recompose.job()` returning JobSpec
+- [x] Implement `JobSpec.get()` returning JobOutputRef (for outputs)
+- [x] Implement `JobSpec.artifact()` returning ArtifactRef
+- [x] Implement dependency inference from JobOutputRef/ArtifactRef
+- [x] Add InputParam type for automation parameters
+- [x] Add Artifact type for artifact inputs
+- [x] Implement condition expression algebra (reuse/adapt from old expr.py)
+- [x] Add `recompose.github.*` context references for conditions
+
+### Phase 3: Triggers ✅ COMPLETE (implemented in Phase 2)
+- [x] Implement trigger classes (on_push, on_pull_request, on_schedule, on_workflow_dispatch)
+- [x] Implement trigger combination with `|`
+
+### Phase 4: Workflow Generation ✅ COMPLETE
+- [x] Update GHA generation for new multi-job model
+- [x] Generate jobs using app's entry_point
+- [x] Handle job outputs/inputs mapping
+- [x] Handle artifact upload/download steps
+- [x] Handle secrets in job env
+- [x] Handle per-task setup overrides
+- [x] Handle matrix jobs
+- [x] Handle job conditions (if:)
+
+### Phase 5: Dispatchable ✅ COMPLETE
+- [x] Implement `make_dispatchable()` function
+- [x] Generate single-job workflow_dispatch workflows
+- [x] DispatchInput base class with StringInput, BoolInput, ChoiceInput
+- [x] Input inference from task signature
+- [x] render_dispatchable() function in gha.py
+- [x] 27 tests for Phase 5
+
+### Phase 6: Cleanup Old Code
+- [ ] Remove `@flow` decorator and FlowPlan/TaskNode/InputPlaceholder
+- [ ] Remove `@taskclass` and all TaskClass machinery
+- [ ] Remove `workspace.py` step serialization
+- [ ] Remove `_run_step.py`
+- [ ] Remove `execute_flow_isolated()`
+
+### Phase 7: Migration & Polish [DONE]
+- [x] Migrate examples to new model
+  - Deleted `examples/flows/` directory (old flow-based code)
+  - Deleted `examples/tasks/virtual_env.py` (TaskClass removed)
+  - Created `examples/automations/ci.py` with new @automation pattern
+  - Updated `examples/app.py` with automations and dispatchables
+- [x] Update App class with dispatchables parameter
+- [x] Update builtin_tasks.generate_gha for automations/dispatchables
+- [x] Update context.py with get_dispatchables()
+- [x] All 209 tests pass, ruff clean
+
+---
+
+## Completion Criteria
+
+- [x] `@task(outputs=[...])` works with `set_output()`
+- [x] `@task(artifacts=[...])` works with `save_artifact()`
+- [x] `@task(secrets=[...])` works with `get_secret()` and local secrets file
+- [x] `@task(setup=[...])` overrides default setup steps
+- [x] `@automation` creates multi-job workflows via context tracking
+- [x] Job dependencies inferred from output/artifact references
+- [x] Job conditions work with expression algebra, map to GHA `if:`
+- [x] Artifact upload/download steps generated correctly
+- [x] Secrets plumbed to job env in GHA
+- [x] `make_dispatchable()` creates single-job workflows
+- [x] Generated workflows use app entry_point directly (copy-paste runnable)
+- [ ] All examples migrated to new model
+- [ ] All old flow/taskclass code removed
+- [x] All tests passing (318 tests)
diff --git a/recompose/proj/P15_cleanup_and_local_exec_DONE.md b/recompose/proj/P15_cleanup_and_local_exec_DONE.md
new file mode 100644
index 000000000000..d58eff45736e
--- /dev/null
+++ b/recompose/proj/P15_cleanup_and_local_exec_DONE.md
@@ -0,0 +1,192 @@
+# P15: Cleanup & Local Automation Execution
+
+## Overview
+
+Follow-up refinements to P14's automation model plus a significant new feature: local automation execution.
+
+## Issues to Address
+
+### Issue 1: Unify dispatchables and automations
+
+**Problem:** `dispatchables` and `automations` are conceptually the same thing. A dispatchable is just an automation with a `workflow_dispatch` trigger. Separate arguments create confusion.
+
+**Solution:**
+- Remove `dispatchables` parameter from `App`
+- An automation that only has `workflow_dispatch` trigger IS a dispatchable
+- `make_dispatchable(task)` creates a simple automation wrapping a single task
+- Automations discover their dependencies via job analysis, not separate registration
+
+### Issue 2: make_dispatchable should auto-infer inputs
+
+**Problem:** Current API requires explicit inputs:
+```python
+test_workflow = recompose.make_dispatchable(
+    test,
+    inputs={
+        "verbose": recompose.BoolInput(default=False, description="..."),
+        "coverage": recompose.BoolInput(default=False, description="..."),
+    },
+)
+```
+
+**Solution:** Task already declares its parameters. `make_dispatchable(test)` should:
+1. Inspect task signature
+2. Infer input types from annotations (str → StringInput, bool → BoolInput)
+3. Use parameter defaults for input defaults
+4. Use docstring/annotations for descriptions if available
+
+Explicit inputs= only needed when you want to customize (different description, choices, etc.)
+
+### Issue 3: Rename python_cmd to cli_command
+
+**Problem:** `python_cmd="uv run python"` is awkward. Generated workflows use `./run lint`, not `uv run python -m examples.app lint`.
+
+**Solution:**
+- Rename to `cli_command="./run"` (or `entry_point`)
+- This is what gets used in generated workflow steps
+- Remove module_name tracking since we're not using it for subprocess invocation anymore
+
+### Issue 4: Local Automation Execution (BIG)
+
+**Problem:** Can't test automations locally. Want to verify:
+- Dependency analysis is correct
+- Tasks can be invoked with correct args
+- Env vars and inputs flow properly
+
+**Solution:** Add `./run <automation-name>` support that:
+1. Parses the automation to get job graph
+2. Executes jobs as subprocesses in dependency order
+3. Passes outputs between jobs (via temp files or stdout capture)
+4. Handles InputParam values from CLI args
+5. Skips GHA-specific setup steps (checkout, setup-python, setup-uv)
+6. Reports results in a nice format
+
+**Limitations (acceptable):**
+- Can't test matrix jobs (would need to expand and run each combination)
+- Can't test artifact upload/download (just skip those steps)
+- Can't test secrets (require them to be in env or local config)
+
+---
+
+## Implementation Plan
+
+### Phase 1: API Cleanup (Issues 1-3)
+
+1. **Update make_dispatchable() for auto-inference**
+   - Inspect task signature
+   - Map types to input types
+   - Use defaults from signature
+   - Allow explicit inputs to override
+
+2. **Update App class**
+   - Remove `dispatchables` parameter
+   - Rename `python_cmd` to `cli_command` (default: `"./run"`)
+   - Remove `_module_name` tracking if no longer needed
+
+3. **Update generate_gha**
+   - Auto-discover dispatchables from automations
+   - Use `cli_command` directly
+   - Simplify entry point logic
+
+4. **Update examples**
+   - Simplify app.py
+
+**Tests:** Update existing tests, verify generation still works
+
+### Phase 2: Local Automation Execution (Issue 4)
+
+1. **Add automation execution to CLI**
+   - When user runs `./run <automation-name>`, execute locally
+   - Parse automation to get job list
+   - Build execution plan from dependencies
+
+2. **Implement LocalExecutor**
+   - Execute jobs sequentially respecting `needs:`
+   - Invoke tasks via subprocess: `./run <task-name> --arg=value`
+   - Capture outputs for passing to dependent jobs
+   - Handle InputParam values from CLI args
+
+3. **Output/Artifact passing**
+   - Job outputs written to temp files (like GITHUB_OUTPUT)
+   - Dependent jobs read from those temp files
+   - Artifact paths passed as-is (local files)
+
+4. **Nice reporting**
+   - Show job progress
+   - Show which jobs passed/failed
+   - Show total time
+
+**Tests:**
+- Test simple automation (no deps)
+- Test automation with dependencies
+- Test automation with inputs
+- Test failing job stops execution
+
+---
+
+## Completion Criteria
+
+### Phase 1 - COMPLETE ✓
+- [x] `make_dispatchable(task)` works without explicit inputs
+- [x] `App(cli_command="./run")` replaces `python_cmd`
+- [x] `dispatchables=` removed from App
+- [x] Examples simplified
+- [x] All tests pass (209 passed)
+
+**Implementation Notes:**
+- `make_dispatchable()` now returns `AutomationWrapper` instead of `Dispatchable`
+- `generate_gha` uses only `render_automation_jobs()` (removed `render_dispatchable()` usage)
+- Workflow files now named `recompose_<name>.yml` (unified naming)
+- Legacy `Dispatchable` and `DispatchableInfo` classes kept for backwards compat
+
+### Phase 2 - COMPLETE ✓
+- [x] `./run ci` executes the ci automation locally
+- [x] Jobs run in correct dependency order (topological sort)
+- [x] Outputs pass between jobs (via GITHUB_OUTPUT temp files)
+- [x] InputParams become CLI arguments
+- [x] Nice progress/result reporting (rich console output)
+- [x] All tests pass (234 tests, 25 new for local executor)
+
+**Implementation Notes:**
+- New `local_executor.py` module with `LocalExecutor` class
+- Jobs executed as subprocesses: `./run task-name --arg=value`
+- `--dry-run` and `--verbose` options for all automation commands
+- Automations appear in "Automations" group in CLI help
+
+---
+
+## Design Notes
+
+### Local execution model
+
+```
+./run ci                     # Run ci automation locally
+./run ci --dry-run          # Show what would run without executing
+./run ci --skip-tests=true  # Pass InputParam values
+```
+
+Internally:
+1. Parse automation → list of JobSpec with dependencies
+2. Topological sort by `needs:`
+3. For each job:
+   - Set up temp GITHUB_OUTPUT file
+   - Run: `./run <task-name> --arg1=$val1 --arg2=$val2`
+   - Capture outputs from temp file
+   - Store for dependent jobs
+
+### Output passing
+
+Jobs declare outputs via `@task(outputs=["wheel_path"])`.
+When running locally:
+- Task writes to GITHUB_OUTPUT (recompose already does this)
+- Executor reads the file after task completes
+- Passes values to dependent jobs via CLI args
+
+### Skipped steps
+
+When running locally, skip:
+- checkout (already have code)
+- setup-python, setup-uv (assume env is set up)
+- upload-artifact, download-artifact (use local paths)
+
+These are just no-ops in local mode.
diff --git a/recompose/proj/P16_unified_output_DONE.md b/recompose/proj/P16_unified_output_DONE.md
new file mode 100644
index 000000000000..74097186ae64
--- /dev/null
+++ b/recompose/proj/P16_unified_output_DONE.md
@@ -0,0 +1,146 @@
+# P16: Unified Task Output System
+
+**Status: DONE**
+
+## Summary
+
+Created a unified `OutputManager` class that handles all output formatting for tasks, automations, and steps with consistent tree-style hierarchy, colors, and GHA compatibility.
+
+## What Was Implemented
+
+### Core Design: Simple Recursive Output Model
+
+Each execution level follows the same pattern:
+1. Parent prints child's header (├─▶ or └─▶)
+2. Parent executes child, capturing ALL output
+3. Parent prefixes ALL captured output with continuation prefix
+4. Parent prints status with SAME prefix
+5. Move to next child
+
+This composable approach eliminates ~550 lines of complexity and works naturally
+for arbitrary nesting depth without special cases for parallel execution.
+
+### output.py - Simple OutputManager
+- `prefix_lines()` function to add prefix to each line of text
+- `CONTENT_PREFIX = "│   "` (4 chars) for non-last siblings
+- `LAST_PREFIX = "    "` (4 chars) for last sibling
+- Simple methods: `print_header()`, `print_status()`, `get_continuation_prefix()`, `print_prefixed()`
+- GHA detection via `GITHUB_ACTIONS` environment variable
+- Global singleton via `get_output_manager()`
+
+### task.py - Nested Task Output
+- `_run_nested_task()` captures all output and prefixes it
+- Uses same recursive model as other execution levels
+- Status printed with same prefix as content
+
+### local_executor.py - Automation Executor
+- `JobResult` has `output_text` field for captured subprocess output
+- `_execute_job()` captures all subprocess output
+- `_print_job_result()` implements the recursive model
+- Parallel jobs run with ThreadPoolExecutor, results printed sequentially
+
+## Symbology Implemented
+
+| Symbol | Meaning |
+|--------|---------|
+| `▼` | Top-level entry point |
+| `│` | Continuation line (main backbone) |
+| `├─▶` | Sequential item (not last) |
+| `└─▶` | Last item in group |
+| `⊕─┬─▶` | Parallel fork start |
+| `│ ├─▶` | Parallel branch item |
+| `│ └─▶` | Last parallel item |
+| `✓` | Success (green) |
+| `✗` | Failure (red) |
+
+## Output Examples
+
+### Nested Tasks (`./run lint-all`)
+
+```
+▶ lint_all
+
+├─▶ lint
+│    Running ruff check...
+│    All checks passed!
+│    Running mypy...
+│    Success: no issues found
+│    ✓ 0.35s
+├─▶ format_check
+│    Checking code formatting...
+│    ✓ 0.02s
+├─▶ generate_gha
+│    Checking 3 workflow(s)...
+│    All workflows up-to-date!
+│    ✓ 0.01s
+All lint checks passed!
+
+✓ lint_all succeeded in 0.38s
+```
+
+### Automation with Parallel Jobs (`./run ci --verbose`)
+
+```
+▼ ci
+│
+⊕─┬─▶ Running in parallel: lint_all, test
+│ ├─▶ lint_all
+│    ├─▶ lint
+│    │    Running ruff check...
+│    │    All checks passed!
+│    │    Running mypy...
+│    │    Success: no issues found
+│    │    ✓ 0.18s
+│    ├─▶ format_check
+│    │    Checking code formatting...
+│    │    ✓ 0.02s
+│    ├─▶ generate_gha
+│    │    Checking 3 workflow(s)...
+│    │    ✓ 0.01s
+│    All lint checks passed!
+✓ 0.33s
+│ └─▶ test
+│    Running tests...
+│    ============================= test session starts ==============================
+│    ...
+│    ======================== 234 passed, 1 skipped in 0.20s ========================
+✓ 0.44s
+
+✓ ci completed in 0.44s (2 jobs)
+```
+
+## Files Modified
+
+- `src/recompose/output.py` - Simplified to ~100 lines with `prefix_lines()` and simple OutputManager
+- `src/recompose/task.py` - Updated `_run_nested_task()` to capture and prefix output
+- `src/recompose/local_executor.py` - Refactored with recursive output model
+
+## Completion Criteria
+
+- [x] Single `OutputManager` handles all output formatting
+- [x] Nested task output has colors and consistent styling
+- [x] Automation job output uses same visual style
+- [x] GHA mode works with ::group:: markers
+- [x] All existing tests pass (234 passed)
+- [x] `./run lint-all` shows colored tree output
+- [x] `./run ci` shows colored parallel job output
+
+## Key Design Decision
+
+**Simple Recursive Model with Parent-Side Prefixing**: Each execution level captures its
+children's output and prefixes it uniformly. This was chosen over complex scope tracking
+and subprocess-managed indentation because:
+- Composes naturally for arbitrary nesting depth
+- No special cases for parallel vs sequential execution
+- No environment variable coordination between processes
+- Simpler to understand and maintain (~550 lines removed)
+- Works with any subprocess (not just recompose tasks)
+
+## Known Limitations / Future Work
+
+1. **Parallel job output buffering**: When jobs run in parallel, their output is buffered
+   and printed after completion (in order). This prevents interleaving but means no live
+   output for parallel jobs.
+
+2. **out()/dbg() integration**: These context helpers still use simple print() rather than
+   going through OutputManager. Could be unified if needed.
diff --git a/recompose/pyproject.toml b/recompose/pyproject.toml
new file mode 100644
index 000000000000..a6f8048ff0bb
--- /dev/null
+++ b/recompose/pyproject.toml
@@ -0,0 +1,53 @@
+[project]
+name = "recompose"
+version = "0.1.0"
+description = "A lightweight, typed, pythonic task execution framework"
+readme = "README.md"
+requires-python = ">=3.11"
+dependencies = [
+    "click>=8.0",
+    "pydantic>=2.0",
+    "pyyaml>=6.0",
+    "rich>=13.0",
+    "ruamel-yaml>=0.18.16",
+]
+
+
+[build-system]
+requires = ["hatchling"]
+build-backend = "hatchling.build"
+
+[tool.hatch.build.targets.wheel]
+packages = ["src/recompose"]
+
+[tool.pytest.ini_options]
+testpaths = ["tests"]
+pythonpath = ["src"]
+
+[tool.ruff]
+line-length = 120
+target-version = "py311"
+
+[tool.ruff.lint]
+select = ["E", "F", "I", "UP", "A004", "D413"]
+
+[dependency-groups]
+dev = [
+    "ruff>=0.14.9",
+    "pytest>=8.0",
+    "pytest-cov>=4.0",
+    "mypy>=1.0",
+]
+
+[tool.mypy]
+python_version = "3.11"
+warn_return_any = true
+warn_unused_configs = true
+warn_unused_ignores = true
+
+[[tool.mypy.overrides]]
+module = "tests.*"
+disallow_untyped_defs = false
+disallow_incomplete_defs = false
+check_untyped_defs = true
+
diff --git a/recompose/run b/recompose/run
new file mode 100755
index 000000000000..a2db69a2872d
--- /dev/null
+++ b/recompose/run
@@ -0,0 +1,11 @@
+#!/usr/bin/env bash
+# Recompose task runner for the recompose project.
+#
+# Usage:
+#   ./run --help
+#   ./run lint
+#   ./run test
+#   ./run ci
+
+cd "$(dirname "$0")"
+exec uv run python -m examples.app "$@"
diff --git a/recompose/src/recompose/ARCHITECTURE.md b/recompose/src/recompose/ARCHITECTURE.md
new file mode 100644
index 000000000000..c680fc53b475
--- /dev/null
+++ b/recompose/src/recompose/ARCHITECTURE.md
@@ -0,0 +1,276 @@
+# Recompose Architecture
+
+This document describes the architecture and organization of the recompose library.
+
+## Overview
+
+Recompose is a lightweight, typed, Pythonic task execution framework. It provides:
+- **Tasks**: Single units of work (Python functions with `@task`)
+- **Flows**: Compositions of tasks into dependency graphs (`@flow`)
+- **Automations**: Higher-level orchestrations that dispatch flows (`@automation`)
+- **GHA Integration**: Automatic generation of GitHub Actions workflows from flows
+
+## Module Organization
+
+```
+src/recompose/
+├── __init__.py           # Public API exports
+│
+├── # Core Abstractions
+├── task.py               # @task decorator, TaskInfo, TaskWrapper
+├── flow.py               # @flow decorator, FlowInfo, FlowWrapper
+├── automation.py         # @automation decorator, AutomationInfo
+├── result.py             # Result[T], Ok(), Err() - task return types
+│
+├── # Flow Graph Machinery
+├── plan.py               # FlowPlan, TaskNode, Input, InputPlaceholder
+├── expr.py               # Expression AST for conditional logic (Expr, BinaryExpr, etc.)
+├── conditional.py        # run_if() context manager for conditional execution
+│
+├── # Execution Context
+├── context.py            # Ambient context: registries, debug mode, output helpers
+├── workspace.py          # Subprocess isolation: params/results serialization
+├── subprocess.py         # run() helper for spawning child processes
+│
+├── # Output & Rendering
+├── output.py             # Tree-based output rendering (FlowRenderer)
+│
+├── # CLI
+├── cli.py                # Click-based CLI generation from tasks/flows
+├── command_group.py      # CommandGroup and Config dataclasses
+├── builtin_tasks.py      # generate_gha, inspect built-in tasks
+│
+├── # GitHub Actions
+├── gha.py                # Workflow YAML generation (WorkflowSpec, StepSpec, etc.)
+├── gh_cli.py             # gh CLI wrapper (trigger workflows, check status)
+```
+
+## Core Concepts
+
+### 1. Tasks (`task.py`)
+
+A **task** is a Python function decorated with `@task`. Tasks:
+- Return `Result[T]` to indicate success/failure with typed values
+- Automatically catch exceptions and convert to `Err` results
+- Detect if called inside a flow and return `TaskNode` for graph building
+- Can be methods on classes via `@taskclass`
+
+Key types:
+- `TaskInfo`: Metadata about a task (name, signature, docstring, etc.)
+- `TaskWrapper[P, T]`: Protocol for decorated task functions
+
+### 2. Flows (`flow.py`, `plan.py`)
+
+A **flow** is a composition of tasks decorated with `@flow`. Flows:
+- Build a task dependency graph **eagerly at decoration time** (not lazily at call time)
+- Execute tasks in linear order (valid by construction)
+- Support subprocess isolation (each task runs as separate process)
+- Generate GitHub Actions workflows
+
+**Eager Planning**: The flow's body is executed at decoration time with `InputPlaceholder`
+values for all flow parameters. This means:
+- `.plan` is a property (not a method) returning the pre-built `FlowPlan`
+- Errors (missing args, invalid kwargs, empty flows) are caught at decoration time
+- Flow parameters cannot be used in Python control flow (would raise `TypeError`)
+
+Key types:
+- `FlowInfo`: Metadata about a flow (includes pre-built `plan`)
+- `FlowWrapper`: Protocol for decorated flow functions
+- `FlowPlan`: The task dependency graph
+- `TaskNode[T]`: A node in the graph representing a deferred task call
+- `InputPlaceholder[T]`: Placeholder for flow parameters during plan building
+
+**InputPlaceholder Purpose**: `InputPlaceholder` exists to **catch invalid usage** at
+plan building time. If a flow tries to use a parameter in Python control flow
+(e.g., `if count > 0:` or `for i in range(count):`), `InputPlaceholder.__bool__`
+raises a `TypeError` explaining how to use `run_if()` instead. This ensures flows
+can be mapped to GitHub workflows where all steps are statically known.
+
+### 3. Automations (`automation.py`)
+
+An **automation** orchestrates multiple flows via `workflow_dispatch`. Automations:
+- Use `flow.dispatch()` to trigger flows
+- Generate "meta-workflows" that use `gh workflow run`
+
+Key types:
+- `AutomationInfo`: Metadata about an automation
+- `AutomationPlan`: Tracks dispatched flows
+- `FlowDispatch`: Represents a flow dispatch call
+
+### 4. Results (`result.py`)
+
+All tasks return `Result[T]`:
+- `Ok(value)`: Success with a typed value
+- `Err(message)`: Failure with error message
+- Pydantic-based for serialization in workspace files
+
+**Value access patterns:**
+- `result.value()` - User-facing API for use inside tasks/flows. Raises `RuntimeError`
+  if the result is a failure. This is the "fail fast" behavior users expect.
+- `result._value` - Internal/framework access for inspection without triggering failure
+  semantics (e.g., displaying output, serialization, conditional "is there a value?" checks).
+  Framework code uses this when it needs to handle both success and failure cases gracefully.
+
+### 5. Context (`context.py`)
+
+The ambient context provides:
+- **Task registries**: Populated by `main()` from explicit command list
+- **Output helpers**: `out()`, `dbg()` for task output
+- **Debug mode**: Enable verbose logging
+- **Python command**: For GHA workflow generation (e.g., "uv run python")
+- **Working directory**: For GHA workflows
+
+### 6. Conditional Execution (`conditional.py`, `expr.py`)
+
+The `run_if()` context manager enables conditional task execution:
+```python
+@flow
+def my_flow(*, debug: bool = False):
+    build()
+    with run_if(debug):
+        debug_task()  # Only runs if debug=True
+```
+
+This works both locally (condition evaluated at runtime) and in GHA (condition-check step outputs boolean, subsequent steps use `if:`).
+
+Key types:
+- `Expr`: Base class for condition expressions
+- `InputExpr`, `LiteralExpr`, `BinaryExpr`, `UnaryExpr`: Expression types
+- `ConditionalBlock`: Active conditional context
+
+### 7. Workspace (`workspace.py`)
+
+For subprocess isolation, flows use a workspace directory:
+- `_params.json`: Flow parameters and step list
+- `{step_name}.json`: Result from each step
+
+The `Serializer` system handles custom type serialization.
+
+### 8. CLI (`cli.py`, `command_group.py`)
+
+Click-based CLI generation:
+- `main()`: Entry point that builds CLI from explicit command list
+- `CommandGroup`: Groups commands for organized `--help` output
+- `Config`: GHA-related configuration (python_cmd, working_directory)
+
+### 9. GHA Generation (`gha.py`)
+
+Generates GitHub Actions workflow YAML:
+- `WorkflowSpec`, `JobSpec`, `StepSpec`: Workflow structure
+- `GHAAction`: Virtual tasks for `uses:` steps (checkout, setup-python, etc.)
+- `render_flow_workflow()`: Convert flow to workflow spec
+- `render_automation_workflow()`: Convert automation to workflow spec
+
+### 10. GitHub CLI (`gh_cli.py`)
+
+Wrapper around `gh` CLI for:
+- Triggering `workflow_dispatch` events
+- Checking workflow run status
+- Validating local/remote workflow sync
+
+## Data Flow
+
+### Local Execution (Direct Call)
+```
+User calls task() → task wrapper executes function → returns Result[T]
+```
+
+### Local Execution (Flow)
+```
+User calls flow() →
+  1. Build FlowPlan (task calls return TaskNode, added in execution order)
+  2. Execute each task in order, resolve dependencies from previous results
+  → returns Result[None]
+```
+
+Note: Nodes are added to the plan in valid execution order by construction - a task
+can only use another task's result after that task has been called, so no explicit
+topological sort is needed.
+
+### Subprocess Isolation (run_isolated)
+```
+flow.run_isolated() →
+  1. Use pre-built FlowPlan
+  2. Create workspace, write _params.json with flow params
+  3. For each step (skipping condition-check nodes - evaluated inline locally):
+     - Spawn subprocess: `python app.py flow_name --step step_name`
+     - CLI reads params, resolves InputPlaceholder/TaskNode values from workspace
+     - Executes task, writes {step_name}.json
+  → returns Result[None]
+```
+
+Note: Locally, condition checks are evaluated inline (not as subprocesses). The
+condition-check nodes exist for GHA where each step is a separate workflow step.
+
+### GHA Generation
+```
+generate_gha →
+  1. Use pre-built FlowPlan (contains InputPlaceholders and condition-check nodes)
+  2. Add setup_workspace step during rendering (not injected into plan)
+  3. Render each plan node to a workflow step
+  4. Write YAML to .github/workflows/
+```
+
+Note: Condition-check nodes (`run_if_1`, etc.) are **first-class nodes** in the
+FlowPlan, created at decoration time when a task is added inside `run_if()`.
+GHA simply renders them; no injection needed.
+
+## Design Principles
+
+1. **Tasks are just functions**: Minimal decoration, callable as normal Python
+2. **CLI is opt-in**: `main()` builds CLI, but tasks work without it
+3. **Result is explicit**: Tasks return `Result[T]` with value + status
+4. **Context is ambient**: Helpers detect if running inside recompose engine
+5. **Explicit registration**: Only commands passed to `main()` are CLI-accessible
+6. **Local/CI parity**: Flows execute identically locally and in GHA
+
+## Error Handling Conventions
+
+**User-facing code (tasks, flows):**
+- Tasks return `Result[T]` - use `Ok(value)` for success, `Err(message)` for failure
+- The `@task` decorator catches uncaught exceptions and converts to `Err`
+- Use `result.value()` to get the value - raises if failed (fail-fast for users)
+
+**Internal framework code:**
+- **Exceptions** for programming errors (invariants violated, setup not done)
+- **`Result`** for expected/recoverable conditions (step not run yet, file might not exist)
+- Use `result._value` for inspection without triggering failure semantics
+
+Examples:
+- `read_params()` raises `FileNotFoundError` - missing params is a programming error
+- `read_step_result()` returns `Err` - step not run yet is an expected condition
+
+## Common Patterns
+
+### Adding a New Task
+```python
+@recompose.task
+def my_task(*, param: str) -> recompose.Result[str]:
+    recompose.out(f"Running with {param}")
+    return recompose.Ok(f"done: {param}")
+
+# Register in main()
+commands = [recompose.CommandGroup("My Tasks", [my_task])]
+recompose.main(commands=commands)
+```
+
+### Adding a New Flow
+```python
+@recompose.flow
+def my_flow(*, config: str = "default") -> None:
+    recompose.gha.checkout()
+    result = my_task(param=config)
+    another_task(input=result.value())
+
+# Register in main()
+commands = [recompose.CommandGroup("Flows", [my_flow])]
+```
+
+### Conditional Tasks
+```python
+@recompose.flow
+def conditional_flow(*, run_optional: bool = False) -> None:
+    required_task()
+    with recompose.run_if(run_optional):
+        optional_task()
+```
diff --git a/recompose/src/recompose/__init__.py b/recompose/src/recompose/__init__.py
new file mode 100644
index 000000000000..0d0b8e1d214d
--- /dev/null
+++ b/recompose/src/recompose/__init__.py
@@ -0,0 +1,195 @@
+"""
+Recompose - A lightweight, typed, pythonic task execution framework.
+
+Basic usage:
+
+    import recompose
+
+    @recompose.task
+    def greet(*, name: str) -> recompose.Result[str]:
+        recompose.out(f"Hello, {name}!")
+        return recompose.Ok(f"greeted {name}")
+
+    # Call directly as a function:
+    result = greet(name="World")
+    assert result.ok
+    print(result.value())  # "greeted World"
+
+    # Or use the CLI:
+    recompose.main()
+"""
+
+from . import gh_cli, gha
+from .builtin_tasks import builtin_commands, generate_gha, inspect
+from .cli import main
+from .command_group import App, CommandGroup
+from .context import (
+    ArtifactInfo,
+    dbg,
+    get_automation,
+    get_automation_registry,
+    get_cli_command,
+    get_context,
+    get_secret,
+    get_task,
+    get_task_registry,
+    get_working_directory,
+    is_debug,
+    out,
+    save_artifact,
+    set_cli_command,
+    set_debug,
+    set_output,
+    set_working_directory,
+)
+
+# P14 job-based automation framework
+from .jobs import (
+    AndCondition,
+    Artifact,
+    # Reference types
+    ArtifactRef,
+    # Automation
+    AutomationInfo,
+    AutomationWrapper,
+    # P14 Phase 5: Dispatchable
+    BoolInput,
+    ChoiceInput,
+    CombinedTrigger,
+    # Condition expressions
+    ConditionExpr,
+    Dispatchable,
+    DispatchableInfo,
+    DispatchInput,
+    GitHubCondition,
+    InputCondition,
+    # Input types
+    InputParam,
+    InputParamRef,
+    JobOutputRef,
+    # Job specification
+    JobSpec,
+    NotCondition,
+    OrCondition,
+    PullRequestTrigger,
+    PushTrigger,
+    ScheduleTrigger,
+    StringInput,
+    # Triggers
+    Trigger,
+    WorkflowDispatchTrigger,
+    automation,
+    github,
+    job,
+    make_dispatchable,
+    on_pull_request,
+    on_push,
+    on_schedule,
+    on_workflow_dispatch,
+)
+from .local_executor import (
+    AutomationResult,
+    JobResult,
+    LocalExecutor,
+    execute_automation,
+)
+from .result import Err, Ok, Result
+from .step import step, step_decorator
+from .subprocess import RunResult, SubprocessError, run
+from .task import TaskInfo, TaskWrapper, task
+
+__all__ = [
+    # Result types
+    "Result",
+    "Ok",
+    "Err",
+    # Task decorator
+    "task",
+    "TaskInfo",
+    "TaskWrapper",
+    "get_task_registry",
+    "get_task",
+    # Context helpers
+    "out",
+    "dbg",
+    "get_context",
+    "set_debug",
+    "is_debug",
+    "get_cli_command",
+    "set_cli_command",
+    "get_working_directory",
+    "set_working_directory",
+    # Task outputs/artifacts/secrets
+    "set_output",
+    "save_artifact",
+    "get_secret",
+    "ArtifactInfo",
+    # Step grouping
+    "step",
+    "step_decorator",
+    # Subprocess helpers
+    "run",
+    "RunResult",
+    "SubprocessError",
+    # CLI
+    "main",
+    "App",
+    "CommandGroup",
+    # GHA generation
+    "gha",
+    # GitHub CLI integration
+    "gh_cli",
+    # P14: Job-based automation framework
+    "automation",
+    "AutomationInfo",
+    "AutomationWrapper",
+    "get_automation",
+    "get_automation_registry",
+    # P14: Job types
+    "job",
+    "JobSpec",
+    "JobOutputRef",
+    "ArtifactRef",
+    "InputParamRef",
+    # P14: Input types
+    "InputParam",
+    "Artifact",
+    # P14: Condition expressions
+    "ConditionExpr",
+    "InputCondition",
+    "GitHubCondition",
+    "AndCondition",
+    "OrCondition",
+    "NotCondition",
+    "github",
+    # P14: Triggers
+    "Trigger",
+    "CombinedTrigger",
+    "PushTrigger",
+    "PullRequestTrigger",
+    "ScheduleTrigger",
+    "WorkflowDispatchTrigger",
+    "on_push",
+    "on_pull_request",
+    "on_schedule",
+    "on_workflow_dispatch",
+    # P14 Phase 5: Dispatchable
+    "make_dispatchable",
+    "Dispatchable",
+    "DispatchableInfo",
+    "DispatchInput",
+    "StringInput",
+    "BoolInput",
+    "ChoiceInput",
+    # Built-in tasks
+    "builtin_commands",
+    "generate_gha",
+    "inspect",
+    # P15: Local automation execution
+    "LocalExecutor",
+    "execute_automation",
+    "AutomationResult",
+    "JobResult",
+]
+
+__version__ = "0.1.0"
diff --git a/recompose/src/recompose/builtin_tasks.py b/recompose/src/recompose/builtin_tasks.py
new file mode 100644
index 000000000000..70eb5cb3b2df
--- /dev/null
+++ b/recompose/src/recompose/builtin_tasks.py
@@ -0,0 +1,346 @@
+"""
+Built-in utility tasks that ship with recompose.
+
+These tasks are always available and can be used in automations
+just like any user-defined task.
+"""
+
+from __future__ import annotations
+
+from pathlib import Path
+from typing import TYPE_CHECKING, Any
+
+from .context import dbg, get_cli_command, get_working_directory, out
+from .gh_cli import find_git_root
+from .gha import validate_workflow
+from .result import Err, Ok, Result
+from .task import task
+
+if TYPE_CHECKING:
+    from .command_group import CommandGroup
+
+
+def _get_default_workflows_dir() -> Path | None:
+    """Get the default .github/workflows directory."""
+    git_root = find_git_root()
+    if git_root:
+        return git_root / ".github" / "workflows"
+    return None
+
+
+def _workflow_filename(name: str) -> str:
+    """Generate workflow filename with recompose prefix."""
+    return f"recompose_{name}.yml"
+
+
+@task
+def generate_gha(
+    *,
+    target: str | None = None,
+    output_dir: str | None = None,
+    check_only: bool = False,
+) -> Result[list[Path]]:
+    """
+    Generate GitHub Actions workflow YAML for automations.
+
+    By default, generates workflows for ALL registered automations
+    to .github/workflows/ in the git repository root.
+
+    Workflow files are named recompose_<name>.yml.
+
+    Note: Dispatchables (from make_dispatchable) are automations with
+    workflow_dispatch trigger, so they are included automatically.
+
+    Args:
+        target: Specific automation to generate. If not provided, generates all.
+        output_dir: Output directory for workflow files. Default: .github/workflows/
+        check_only: If True, only check if files are up-to-date (don't write).
+                   Returns Err if any files would change.
+
+    Returns:
+        List of Path objects for files that were updated/created.
+        Empty list means no files were changed.
+
+    Examples:
+        # Generate all workflows
+        ./run generate-gha
+
+        # Generate specific workflow
+        ./run generate-gha --target=ci
+
+        # Check if workflows are up-to-date (for CI)
+        ./run generate-gha --check-only
+
+        # Generate to custom directory
+        ./run generate-gha --output-dir=/tmp/workflows
+
+    """
+    from .context import get_automation, get_automation_registry
+    from .gha import render_automation_jobs
+
+    # Determine output directory
+    if output_dir:
+        workflows_dir = Path(output_dir)
+    else:
+        maybe_workflows_dir = _get_default_workflows_dir()
+        if maybe_workflows_dir is None:
+            return Err("Could not find git root. Specify --output-dir explicitly.")
+        workflows_dir = maybe_workflows_dir
+
+    # Get configuration
+    working_directory = get_working_directory()
+    entry_point = get_cli_command()
+
+    # Collect targets to generate
+    # (name, obj, description)
+    targets: list[tuple[str, Any, str | None]] = []
+
+    def _get_description(info: Any) -> str | None:
+        """Extract first line of docstring as description."""
+        doc = getattr(info, "doc", None)
+        if doc:
+            first_line: str = doc.strip().split("\n")[0]
+            return first_line
+        return None
+
+    if target:
+        # Specific target
+        automation_info = get_automation(target)
+
+        if automation_info is None:
+            auto_names = list(get_automation_registry().keys())
+            msg = f"'{target}' not found.\n"
+            if auto_names:
+                msg += f"Automations: {', '.join(auto_names)}"
+            return Err(msg)
+
+        # Need to find the wrapper from the registry
+        for full_key, auto_info in get_automation_registry().items():
+            if auto_info.name == target or full_key == target:
+                targets.append((auto_info.name, auto_info, _get_description(auto_info)))
+                break
+    else:
+        # All automations
+        for full_key, auto_info in get_automation_registry().items():
+            targets.append((auto_info.name, auto_info, _get_description(auto_info)))
+
+    if not targets:
+        out("No automations registered.")
+        return Ok([])
+
+    # Generate workflows
+    changed_paths: list[Path] = []
+    errors: list[str] = []
+
+    mode = "Checking" if check_only else "Generating"
+    out(f"{mode} {len(targets)} workflow(s) to {workflows_dir}")
+
+    for name, obj, description in targets:
+        filename = _workflow_filename(name)
+        output_file = workflows_dir / filename
+
+        try:
+            # obj is AutomationInfo - need to get the wrapper
+            wrapper = obj.wrapper
+            spec = render_automation_jobs(
+                wrapper,
+                entry_point=entry_point,
+                working_directory=working_directory,
+            )
+
+            # Set the output path on the spec
+            spec.path = output_file
+
+            yaml_content = spec.to_yaml(include_header=True, source=f"automation: {name}")
+
+            # Determine status
+            if output_file.exists():
+                existing = output_file.read_text()
+                if existing != yaml_content:
+                    status = "updated" if not check_only else "would change"
+                    changed_paths.append(output_file)
+                else:
+                    status = "unchanged"
+            else:
+                status = "created" if not check_only else "would create"
+                changed_paths.append(output_file)
+
+            # Write file if not check_only and there are changes
+            if not check_only and status in ("created", "updated"):
+                workflows_dir.mkdir(parents=True, exist_ok=True)
+                output_file.write_text(yaml_content)
+
+            # Validate with actionlint if available
+            valid, validation_msg = validate_workflow(yaml_content, output_file)
+            if valid:
+                dbg(f"actionlint: {filename} passed validation")
+            elif "not found" in validation_msg:
+                dbg("actionlint: not available, skipping validation")
+            else:
+                dbg(f"actionlint: {filename} FAILED validation")
+                errors.append(f"{name}: actionlint: {validation_msg}")
+
+            # Print status
+            status_icon = {"created": "+", "updated": "~", "unchanged": "=", "would change": "~", "would create": "+"}
+            icon = status_icon.get(status, "?")
+            desc = f" - {description}" if description else ""
+            out(f"  [{icon}] {filename}{desc}")
+
+        except Exception as e:
+            errors.append(f"{name}: {e}")
+            out(f"  [!] {filename} - ERROR: {e}")
+
+    if errors:
+        return Err("Errors generating workflows:\n" + "\n".join(errors))
+
+    if check_only and changed_paths:
+        return Err(
+            f"Workflows out of sync ({len(changed_paths)} file(s) would change).\nRun without --check-only to update."
+        )
+
+    if check_only:
+        out("All workflows up-to-date!")
+    else:
+        out(f"Generated {len(targets)} workflow(s)")
+
+    return Ok(changed_paths)
+
+
+@task
+def inspect(*, target: str) -> Result[None]:
+    """
+    Inspect a task or automation without executing it.
+
+    Shows signature, documentation, and for automations, the job list.
+
+    Args:
+        target: Name of the task or automation to inspect.
+
+    Examples:
+        ./run inspect --target=lint
+        ./run inspect --target=ci
+
+    """
+    import inspect as py_inspect
+
+    from .context import get_automation, get_task
+
+    # Try task first
+    task_info = get_task(target)
+    if task_info is not None:
+        _print_task_info(task_info, py_inspect)
+        return Ok(None)
+
+    # Try automation (includes dispatchables, which are automations with workflow_dispatch trigger)
+    automation_info = get_automation(target)
+    if automation_info is not None:
+        _print_automation_info(automation_info, py_inspect)
+        return Ok(None)
+
+    # Not found
+    from .context import get_automation_registry, get_task_registry
+
+    task_names = list(get_task_registry().keys())
+    auto_names = list(get_automation_registry().keys())
+
+    msg = f"'{target}' not found.\n"
+    if task_names:
+        msg += f"Tasks: {', '.join(task_names)}\n"
+    if auto_names:
+        msg += f"Automations: {', '.join(auto_names)}"
+    return Err(msg)
+
+
+def _print_task_info(task_info: Any, py_inspect: Any) -> None:
+    """Print task inspection info."""
+    out(f"\nTask: {task_info.name}")
+    out(f"Module: {task_info.module}")
+
+    if task_info.doc:
+        out(f"\nDescription: {task_info.doc.strip().split(chr(10))[0]}")
+
+    out("\nParameters:")
+    has_params = False
+    for param_name, param in task_info.signature.parameters.items():
+        if param_name == "self":
+            continue
+        has_params = True
+        annotation = param.annotation
+        type_str = annotation.__name__ if hasattr(annotation, "__name__") else str(annotation)
+        if param.default is not py_inspect.Parameter.empty:
+            out(f"  --{param_name}: {type_str} = {param.default!r}")
+        else:
+            out(f"  --{param_name}: {type_str} [required]")
+    if not has_params:
+        out("  (none)")
+
+    # Show task decorator parameters if present
+    if task_info.outputs:
+        out(f"\nOutputs: {', '.join(task_info.outputs)}")
+    if task_info.artifacts:
+        out(f"Artifacts: {', '.join(task_info.artifacts)}")
+    if task_info.secrets:
+        out(f"Secrets: {', '.join(task_info.secrets)}")
+
+
+def _print_automation_info(automation_info: Any, py_inspect: Any) -> None:
+    """Print automation inspection info."""
+    out(f"\nAutomation: {automation_info.name}")
+    out(f"Module: {automation_info.module}")
+
+    if automation_info.doc:
+        out(f"\nDescription: {automation_info.doc.strip().split(chr(10))[0]}")
+
+    # Show trigger if present
+    if automation_info.trigger:
+        out(f"\nTrigger: {automation_info.trigger}")
+
+    # Show input parameters
+    if automation_info.input_params:
+        out("\nInputs:")
+        for name, param in automation_info.input_params.items():
+            default_str = f" = {param._default!r}" if param._default is not None else ""
+            required_str = " [required]" if param._required else ""
+            out(f"  --{name}{default_str}{required_str}")
+
+    # Get jobs from the plan
+    try:
+        wrapper = automation_info.wrapper
+        jobs = wrapper.plan()
+        out(f"\nJobs ({len(jobs)}):")
+        for job in jobs:
+            needs_str = ""
+            deps = job.get_all_dependencies()
+            if deps:
+                needs_str = f" (needs: {', '.join(d.job_id for d in deps)})"
+            condition_str = ""
+            if job.condition:
+                condition_str = f" [if: {job.condition.to_gha_expr()}]"
+            out(f"  - {job.job_id}{needs_str}{condition_str}")
+    except Exception as e:
+        out(f"\nCould not build job plan: {e}")
+
+
+def builtin_commands() -> CommandGroup:
+    """
+    Returns a CommandGroup containing all built-in recompose commands.
+
+    Built-in commands:
+        - generate_gha: Generate GitHub Actions workflow YAML
+        - inspect: Inspect tasks or automations
+
+    Example:
+        commands = [
+            recompose.CommandGroup("Quality", [lint, test]),
+            recompose.builtin_commands(),  # Adds generate_gha, inspect
+        ]
+        recompose.main(commands=commands)
+
+    Returns
+    -------
+        CommandGroup with built-in commands under "Built-in" heading.
+
+    """
+    from .command_group import CommandGroup
+
+    return CommandGroup("Built-in", [generate_gha, inspect])
diff --git a/recompose/src/recompose/cli.py b/recompose/src/recompose/cli.py
new file mode 100644
index 000000000000..7e797ba003f4
--- /dev/null
+++ b/recompose/src/recompose/cli.py
@@ -0,0 +1,580 @@
+"""CLI generation for recompose tasks."""
+
+from __future__ import annotations
+
+import inspect
+import sys
+from collections.abc import Sequence
+from enum import Enum
+from pathlib import Path
+from typing import TYPE_CHECKING, Any, cast, get_args, get_origin
+
+import click
+from rich.console import Console
+
+from .command_group import CommandGroup
+from .context import (
+    RecomposeContext,
+    set_cli_command,
+    set_debug,
+    set_module_name,
+    set_recompose_context,
+    set_working_directory,
+)
+from .result import Result
+from .task import TaskInfo, TaskWrapper
+
+if TYPE_CHECKING:
+    from .jobs import AutomationInfo, AutomationWrapper
+
+_console: Console | None = None
+
+
+def _get_console() -> Console:
+    """Get console lazily to respect NO_COLOR/FORCE_COLOR set after import."""
+    global _console
+    if _console is None:
+        _console = Console()
+    return _console
+
+
+def _reset_console() -> None:
+    """Reset console (for testing)."""
+    global _console
+    _console = None
+
+
+def _to_kebab_case(name: str) -> str:
+    """Convert a snake_case name to kebab-case for CLI."""
+    return name.replace("_", "-")
+
+
+def _get_click_type(annotation: Any) -> tuple[type | click.ParamType, bool]:
+    """
+    Convert a Python type annotation to a Click type.
+
+    Returns (click_type, is_required).
+    """
+    # Handle Optional types (Union with None)
+    origin = get_origin(annotation)
+    if origin is type(None):
+        return click.STRING, False
+
+    # Check for Optional (Union[X, None])
+    if origin is not None:
+        args = get_args(annotation)
+        # Handle Optional[X] which is Union[X, None]
+        if type(None) in args:
+            # Get the non-None type
+            non_none_types = [a for a in args if a is not type(None)]
+            if len(non_none_types) == 1:
+                inner_type, _ = _get_click_type(non_none_types[0])
+                return inner_type, False
+
+    # Handle basic types
+    if annotation is str:
+        return click.STRING, True
+    elif annotation is int:
+        return click.INT, True
+    elif annotation is float:
+        return click.FLOAT, True
+    elif annotation is bool:
+        return click.BOOL, True
+    elif annotation is Path or annotation is type(Path):
+        return click.Path(), True
+    elif isinstance(annotation, type) and issubclass(annotation, Enum):
+        # Enum becomes a Choice of its values
+        choices = [e.value for e in annotation]
+        return click.Choice(choices), True
+    else:
+        # Default to string
+        return click.STRING, True
+
+
+def _build_command(task_info: TaskInfo) -> click.Command:
+    """Build a Click command from a task."""
+    sig = task_info.signature
+    params: list[click.Parameter] = []
+
+    # Use get_type_hints to resolve string annotations from `from __future__ import annotations`
+    import typing
+
+    try:
+        type_hints = typing.get_type_hints(task_info.original_fn)
+    except Exception:
+        type_hints = {}
+
+    for param_name, param in sig.parameters.items():
+        if param_name == "self":
+            continue
+
+        # Get type annotation - prefer resolved type hints
+        annotation = type_hints.get(param_name, param.annotation)
+        if annotation is inspect.Parameter.empty:
+            annotation = str  # Default to string if no annotation
+
+        click_type, type_required = _get_click_type(annotation)
+
+        # Check if there's a default
+        has_default = param.default is not inspect.Parameter.empty
+        default_value = param.default if has_default else None
+
+        # Determine if required
+        required = not has_default and type_required
+
+        # Handle bool specially (use flag style)
+        # Convert underscores to hyphens for CLI option names (kebab-case)
+        cli_name = _to_kebab_case(param_name)
+        if annotation is bool:
+            if has_default and default_value is True:
+                params.append(
+                    click.Option(
+                        [f"--{cli_name}/--no-{cli_name}"],
+                        default=True,
+                        help="(default: True)",
+                    )
+                )
+            elif has_default and default_value is False:
+                params.append(
+                    click.Option(
+                        [f"--{cli_name}/--no-{cli_name}"],
+                        default=False,
+                        help="(default: False)",
+                    )
+                )
+            else:
+                params.append(
+                    click.Option(
+                        [f"--{cli_name}/--no-{cli_name}"],
+                        default=False,
+                        required=required,
+                    )
+                )
+        else:
+            help_text = None
+            if has_default and default_value is not None:
+                help_text = f"(default: {default_value})"
+
+            # Only pass default if there is one - otherwise Click won't enforce required
+            option_kwargs: dict[str, Any] = {
+                "type": click_type,
+                "required": required,
+                "help": help_text,
+            }
+            if has_default:
+                option_kwargs["default"] = default_value
+
+            params.append(
+                click.Option(
+                    [f"--{cli_name}"],
+                    **option_kwargs,
+                )
+            )
+
+    def callback(**kwargs: Any) -> None:
+        """Execute the task and display results."""
+        # Convert enum values back to enum if needed
+        for param_name, param in sig.parameters.items():
+            if param_name in kwargs:
+                annotation = param.annotation
+                if isinstance(annotation, type) and issubclass(annotation, Enum):
+                    # Convert string value back to enum
+                    value = kwargs[param_name]
+                    if value is not None:
+                        kwargs[param_name] = annotation(value)
+
+        # Execute the task (it handles its own output: name, prefixed body, status)
+        result: Result[Any] = task_info.fn(**kwargs)
+
+        # Show return value if present
+        if result.ok and result._value is not None:
+            _get_console().print(f"[dim]→[/dim] {result._value}")
+
+        # Exit with non-zero code if task failed
+        if not result.ok:
+            sys.exit(1)
+
+    # Build the command with kebab-case name
+    cmd = click.Command(
+        name=_to_kebab_case(task_info.name),
+        callback=callback,
+        params=params,
+        help=task_info.doc,
+    )
+
+    return cmd
+
+
+def _build_automation_command(
+    automation_wrapper: AutomationWrapper,
+    cli_command: str,
+    working_directory: str | None,
+) -> click.Command:
+    """Build a Click command from an automation."""
+
+    info = automation_wrapper.info
+    params: list[click.Parameter] = []
+
+    # Add common automation options
+    params.append(
+        click.Option(
+            ["--status"],
+            is_flag=True,
+            default=False,
+            help="Show recent GitHub Actions runs for this automation",
+        )
+    )
+    params.append(
+        click.Option(
+            ["--dry-run"],
+            is_flag=True,
+            default=False,
+            help="Show what would be run without executing",
+        )
+    )
+    params.append(
+        click.Option(
+            ["--verbose", "-v"],
+            is_flag=True,
+            default=False,
+            help="Show verbose output",
+        )
+    )
+
+    # Add options for each InputParam
+    for param_name, input_param in info.input_params.items():
+        cli_name = _to_kebab_case(param_name)
+        has_default = input_param._default is not None
+        required = input_param._required
+
+        # Determine type from choices or default
+        if input_param._choices:
+            click_type: Any = click.Choice(input_param._choices)
+        elif isinstance(input_param._default, bool):
+            # Bool flag
+            params.append(
+                click.Option(
+                    [f"--{cli_name}/--no-{cli_name}"],
+                    default=input_param._default,
+                    help=input_param._description or f"(default: {input_param._default})",
+                )
+            )
+            continue
+        elif isinstance(input_param._default, int):
+            click_type = click.INT
+        elif isinstance(input_param._default, float):
+            click_type = click.FLOAT
+        else:
+            click_type = click.STRING
+
+        option_kwargs: dict[str, Any] = {
+            "type": click_type,
+            "required": required,
+            "help": input_param._description,
+        }
+        if has_default:
+            option_kwargs["default"] = input_param._default
+
+        params.append(click.Option([f"--{cli_name}"], **option_kwargs))
+
+    def callback(status: bool, dry_run: bool, verbose: bool, **kwargs: Any) -> None:
+        """Execute the automation locally or show status."""
+        # Handle --status flag
+        if status:
+            from .gh_cli import display_automation_status
+
+            display_automation_status(info.name)
+            return
+
+        from .local_executor import LocalExecutor
+
+        # Convert kebab-case back to snake_case for kwargs
+        input_params = {}
+        for param_name in info.input_params:
+            cli_name = _to_kebab_case(param_name)
+            if cli_name in kwargs:
+                input_params[param_name] = kwargs[cli_name]
+            elif param_name in kwargs:
+                input_params[param_name] = kwargs[param_name]
+
+        executor = LocalExecutor(
+            cli_command=cli_command,
+            working_directory=working_directory,
+            dry_run=dry_run,
+            verbose=verbose,
+        )
+
+        result = executor.execute(automation_wrapper, **input_params)
+
+        if not result.success:
+            sys.exit(1)
+
+    # Build the command
+    cmd = click.Command(
+        name=_to_kebab_case(info.name),
+        callback=callback,
+        params=params,
+        help=info.doc or f"Run the {info.name} automation locally",
+    )
+
+    return cmd
+
+
+class GroupedClickGroup(click.Group):
+    """Click group that displays commands organized by groups in help."""
+
+    def __init__(self, *args: Any, **kwargs: Any) -> None:
+        self.command_groups: dict[str, str] = {}  # command_name -> group_name
+        self.hidden_groups: set[str] = set()
+        self.show_hidden: bool = False
+        super().__init__(*args, **kwargs)
+
+    def format_commands(self, ctx: click.Context, formatter: click.HelpFormatter) -> None:
+        """Format commands grouped by category."""
+        # Collect commands by group
+        groups: dict[str, list[tuple[str, click.Command]]] = {}
+        for name in self.list_commands(ctx):
+            cmd = self.get_command(ctx, name)
+            if cmd is None:
+                continue
+
+            # Skip hidden commands unless --show-hidden
+            if cmd.hidden and not self.show_hidden:
+                continue
+
+            group_name = self.command_groups.get(name, "Other")
+
+            # Skip hidden groups unless --show-hidden
+            if group_name in self.hidden_groups and not self.show_hidden:
+                continue
+
+            if group_name not in groups:
+                groups[group_name] = []
+            groups[group_name].append((name, cmd))
+
+        # Format each group
+        for group_name, cmds in groups.items():
+            with formatter.section(group_name):
+                formatter.write_dl(
+                    [(name, cmd.get_short_help_str(limit=45)) for name, cmd in sorted(cmds, key=lambda x: x[0])]
+                )
+
+
+def _build_grouped_cli(
+    name: str | None,
+    commands: Sequence[CommandGroup | TaskWrapper[Any, Any]],
+    automations: Sequence[Any] | None = None,
+    cli_command: str = "./run",
+    working_directory: str | None = None,
+) -> GroupedClickGroup:
+    """Build a Click CLI with grouped commands."""
+    # Validate no duplicate command names
+    seen_names: dict[str, str] = {}  # name -> group_name
+
+    @click.group(name=name, cls=GroupedClickGroup)
+    @click.option("--debug/--no-debug", default=False, help="Enable debug output")
+    @click.option("--show-hidden", is_flag=True, default=False, help="Show hidden commands")
+    @click.pass_context
+    def cli(ctx: click.Context, debug: bool, show_hidden: bool) -> None:
+        """Recompose task runner."""
+        ctx.ensure_object(dict)
+        set_debug(debug)
+        # Store show_hidden on the group for format_commands
+        ctx.command.show_hidden = show_hidden  # type: ignore[attr-defined]
+
+    # Process commands and groups
+    for item in commands:
+        if isinstance(item, CommandGroup):
+            group_name = item.name
+            if item.hidden:
+                cli.hidden_groups.add(group_name)
+
+            for cmd_wrapper in item.commands:
+                _add_command_to_cli(cli, cmd_wrapper, group_name, seen_names)
+        else:
+            # Bare task (not in a group)
+            _add_command_to_cli(cli, item, "Other", seen_names)
+
+    # Add automation commands (skip those that conflict with task names)
+    if automations:
+        for auto in automations:
+            if hasattr(auto, "_automation_info"):
+                info = auto._automation_info
+                cmd_name = _to_kebab_case(info.name)
+                # Skip if this automation has the same name as an existing task
+                # (e.g., make_dispatchable(lint) conflicts with lint task)
+                # Running the task directly is equivalent to running the dispatchable locally
+                if cmd_name in seen_names:
+                    continue
+                _add_automation_to_cli(cli, auto, "Automations", seen_names, cli_command, working_directory)
+
+    return cli
+
+
+def _add_command_to_cli(
+    cli: GroupedClickGroup,
+    cmd_wrapper: TaskWrapper[Any, Any],
+    group_name: str,
+    seen_names: dict[str, str],
+) -> None:
+    """Add a task to the CLI, checking for duplicates."""
+    # Get the info object from the wrapper
+    if hasattr(cmd_wrapper, "_task_info"):
+        info = cast(TaskWrapper[Any, Any], cmd_wrapper)._task_info
+    else:
+        raise TypeError(f"Expected a task, got {type(cmd_wrapper).__name__}. Make sure to use @task decorator.")
+
+    # Use kebab-case for CLI command names
+    cmd_name = _to_kebab_case(info.name)
+
+    # Check for duplicate names
+    if cmd_name in seen_names:
+        raise ValueError(
+            f"Duplicate command name '{cmd_name}': found in both '{seen_names[cmd_name]}' and '{group_name}'"
+        )
+    seen_names[cmd_name] = group_name
+
+    # Build the Click command
+    cmd = _build_command(info)
+
+    cli.add_command(cmd)
+    cli.command_groups[cmd_name] = group_name
+
+
+def _add_automation_to_cli(
+    cli: GroupedClickGroup,
+    automation_wrapper: AutomationWrapper,
+    group_name: str,
+    seen_names: dict[str, str],
+    cli_command: str,
+    working_directory: str | None,
+) -> None:
+    """Add an automation to the CLI, checking for duplicates."""
+    info = automation_wrapper.info
+
+    # Use kebab-case for CLI command names
+    cmd_name = _to_kebab_case(info.name)
+
+    # Check for duplicate names
+    if cmd_name in seen_names:
+        raise ValueError(
+            f"Duplicate command name '{cmd_name}': found in both '{seen_names[cmd_name]}' and '{group_name}'"
+        )
+    seen_names[cmd_name] = group_name
+
+    # Build the Click command
+    cmd = _build_automation_command(automation_wrapper, cli_command, working_directory)
+
+    cli.add_command(cmd)
+    cli.command_groups[cmd_name] = group_name
+
+
+def main(
+    name: str | None = None,
+    *,
+    cli_command: str = "./run",
+    working_directory: str | None = None,
+    commands: Sequence[CommandGroup | TaskWrapper[Any, Any]],
+    automations: Sequence[Any] | None = None,
+    module_name: str | None = None,
+) -> None:
+    """
+    Build and run the CLI with explicit command registration.
+
+    Args:
+        name: Optional name for the CLI group. Defaults to the script name.
+        cli_command: CLI entry point for generated GHA workflows (default: "./run").
+        working_directory: Working directory for GHA workflows (relative to repo root).
+        commands: List of CommandGroups or tasks to expose as CLI commands.
+        automations: List of automations to register for GHA workflow generation.
+                    Dispatchables (from make_dispatchable) are also automations.
+        module_name: Importable module path for subprocess isolation.
+                    If not provided, auto-detected from caller frame.
+
+    Example
+    -------
+        commands = [
+            recompose.CommandGroup("Quality", [lint, format_check]),
+            recompose.CommandGroup("Testing", [test]),
+            recompose.builtin_commands(),
+        ]
+        recompose.main(cli_command="./run", commands=commands)
+
+    """
+    # Store config for GHA workflow generation
+    set_cli_command(cli_command)
+    set_working_directory(working_directory)
+
+    # Set module name (for subprocess isolation)
+    if module_name is not None:
+        set_module_name(module_name)
+    else:
+        # Auto-detect from caller frame
+        caller_frame = sys._getframe(1)
+        caller_spec = caller_frame.f_globals.get("__spec__")
+
+        if caller_spec is not None and caller_spec.name:
+            set_module_name(caller_spec.name)
+        else:
+            raise ValueError(
+                "Could not detect module name. Run with `python -m <module>` "
+                "or use recompose.App which handles this automatically."
+            )
+
+    # Build the registry from commands and automations
+    recompose_ctx = _build_registry(commands, automations or [])
+    set_recompose_context(recompose_ctx)
+
+    # Build and run the CLI (including automation commands)
+    cli = _build_grouped_cli(
+        name,
+        commands,
+        automations=automations,
+        cli_command=cli_command,
+        working_directory=working_directory,
+    )
+    cli()
+
+
+def _build_registry(
+    commands: Sequence[CommandGroup | TaskWrapper[Any, Any]],
+    automations: Sequence[Any],
+) -> RecomposeContext:
+    """
+    Build a RecomposeContext from the commands and automations lists.
+
+    Extracts TaskInfo from the wrappers and populates the registries.
+    Note: Dispatchables (from make_dispatchable) are automations with workflow_dispatch trigger.
+    """
+
+    tasks: dict[str, TaskInfo] = {}
+    automation_registry: dict[str, AutomationInfo] = {}
+
+    # Extract tasks from commands
+    for item in commands:
+        if isinstance(item, CommandGroup):
+            for cmd_wrapper in item.commands:
+                _register_command(cmd_wrapper, tasks)
+        else:
+            _register_command(item, tasks)
+
+    # Extract automations (includes dispatchables, which are also AutomationWrappers)
+    for auto in automations:
+        if hasattr(auto, "_automation_info"):
+            info = auto._automation_info
+            automation_registry[info.full_name] = info
+
+    return RecomposeContext(
+        tasks=tasks,
+        automations=automation_registry,
+    )
+
+
+def _register_command(
+    cmd_wrapper: TaskWrapper[Any, Any],
+    tasks: dict[str, TaskInfo],
+) -> None:
+    """Register a task in the registry."""
+    if hasattr(cmd_wrapper, "_task_info"):
+        task_info = cast(TaskWrapper[Any, Any], cmd_wrapper)._task_info
+        tasks[task_info.full_name] = task_info
diff --git a/recompose/src/recompose/command_group.py b/recompose/src/recompose/command_group.py
new file mode 100644
index 000000000000..feef3ba3c72a
--- /dev/null
+++ b/recompose/src/recompose/command_group.py
@@ -0,0 +1,174 @@
+"""Command group and App for explicit CLI registration."""
+
+from __future__ import annotations
+
+from collections.abc import Sequence
+from dataclasses import dataclass, field
+from typing import TYPE_CHECKING, Any
+
+if TYPE_CHECKING:
+    from .task import TaskWrapper
+
+
+@dataclass
+class CommandGroup:
+    """
+    Groups commands under a heading in help output.
+
+    Commands remain in a flat namespace - groups only affect the visual
+    organization in `--help` output.
+
+    Args:
+        name: Heading name displayed in help (e.g., "Python", "Testing").
+        commands: List of tasks to include in this group.
+        hidden: If True, commands in this group are hidden from default help.
+               Use --show-hidden to see them.
+
+    Example
+    -------
+        commands = [
+            recompose.CommandGroup("Quality", [lint, format_check, format]),
+            recompose.CommandGroup("Testing", [test, test_installed]),
+            recompose.CommandGroup("Internal", [debug_task], hidden=True),
+        ]
+
+    """
+
+    name: str
+    commands: list[TaskWrapper[Any, Any]] = field(default_factory=list)
+    hidden: bool = False
+
+    def __post_init__(self) -> None:
+        """Validate that commands list is not empty."""
+        if not self.commands:
+            raise ValueError(f"CommandGroup '{self.name}' must have at least one command")
+
+
+class App:
+    """
+    Recompose application that holds configuration and command registration.
+
+    Create an App instance at module level (outside of `if __name__ == "__main__"`)
+    so that subprocess invocations can import the module and access the app's
+    configuration and registered commands.
+
+    Args:
+        cli_command: CLI entry point for generated GHA workflows (default: "./run").
+        working_directory: Working directory for GHA workflows (relative to repo root).
+                          If set, workflows will cd to this directory before running.
+        commands: List of CommandGroups or tasks to expose as CLI commands.
+        automations: List of automations to register for GHA workflow generation.
+                    Dispatchables (from make_dispatchable) are also automations.
+        name: Optional name for the CLI group. Defaults to the script name.
+
+    Example
+    -------
+        # examples/app.py
+        import recompose
+        from .tasks import lint, test
+        from .automations import ci
+
+        # make_dispatchable creates an automation with workflow_dispatch trigger
+        lint_workflow = recompose.make_dispatchable(lint)
+
+        app = recompose.App(
+            cli_command="./run",
+            working_directory="recompose",
+            commands=[
+                recompose.CommandGroup("Quality", [lint]),
+                recompose.CommandGroup("Testing", [test]),
+            ],
+            automations=[ci, lint_workflow],
+        )
+
+        if __name__ == "__main__":
+            app.main()
+
+    """
+
+    def __init__(
+        self,
+        *,
+        cli_command: str = "./run",
+        working_directory: str | None = None,
+        commands: Sequence[CommandGroup | TaskWrapper[Any, Any]] | None = None,
+        automations: Sequence[Any] | None = None,
+        name: str | None = None,
+    ) -> None:
+        """
+        Initialize the recompose application.
+
+        Args:
+            cli_command: CLI entry point for generated GHA workflows (default: "./run").
+            working_directory: Working directory for GHA workflows (relative to repo root).
+            commands: List of CommandGroups or tasks to expose as CLI commands.
+            automations: List of automations to register for GHA workflow generation.
+                        Dispatchables (from make_dispatchable) are also automations.
+            name: Optional name for the CLI group. Defaults to the script name.
+
+        """
+        import sys
+
+        self.cli_command = cli_command
+        self.working_directory = working_directory
+        self.commands: Sequence[CommandGroup | TaskWrapper[Any, Any]] = commands or []
+        self.automations: Sequence[Any] = automations or []
+        self.name = name
+
+        # Capture the caller's module name at instantiation time
+        # This is required for subprocess isolation - the module must be importable
+        caller_frame = sys._getframe(1)
+        caller_spec = caller_frame.f_globals.get("__spec__")
+        if caller_spec is not None and caller_spec.name:
+            self._module_name: str = caller_spec.name
+        else:
+            raise ValueError(
+                "App must be instantiated in a module context (run with `python -m <module>`). "
+                "Script-based execution is not supported because GHA workflow generation "
+                "needs an importable module path."
+            )
+
+    def main(self) -> None:
+        """
+        Build and run the CLI.
+
+        This should be called inside `if __name__ == "__main__":` to avoid
+        running the CLI when the module is imported.
+        """
+        from .cli import main as cli_main
+
+        cli_main(
+            name=self.name,
+            cli_command=self.cli_command,
+            working_directory=self.working_directory,
+            commands=self.commands,
+            automations=self.automations,
+            module_name=self._module_name,
+        )
+
+    def setup_context(self) -> None:
+        """
+        Set up the global context from this app's configuration.
+
+        This ensures that tasks like generate_gha have access to the correct
+        configuration (working_directory, cli_command, etc.) even when not
+        running through main().
+        """
+        from .cli import _build_registry
+        from .context import (
+            set_cli_command,
+            set_module_name,
+            set_recompose_context,
+            set_working_directory,
+        )
+
+        # Set config values
+        set_cli_command(self.cli_command)
+        set_working_directory(self.working_directory)
+
+        # Set module name (for GHA workflow generation)
+        set_module_name(self._module_name)
+
+        # Build and set the registry
+        recompose_ctx = _build_registry(self.commands, self.automations or [])
+        set_recompose_context(recompose_ctx)
diff --git a/recompose/src/recompose/context.py b/recompose/src/recompose/context.py
new file mode 100644
index 000000000000..c4d6f45c02ce
--- /dev/null
+++ b/recompose/src/recompose/context.py
@@ -0,0 +1,528 @@
+"""Execution context for recompose tasks."""
+
+from __future__ import annotations
+
+import os
+from contextvars import ContextVar
+from dataclasses import dataclass, field
+from pathlib import Path
+from typing import TYPE_CHECKING, Any, Literal
+
+if TYPE_CHECKING:
+    from .jobs import JobSpec
+    from .task import TaskInfo
+
+# Debug mode flag
+_debug_mode: bool = False
+
+
+# Module name for subprocess isolation (set by main())
+# This is the importable module path, e.g., "examples.app"
+_module_name: str | None = None
+
+# CLI command for GHA workflow generation (e.g., "./run", "uv run python -m app")
+_cli_command: str = "./run"
+
+# Working directory for GHA workflow generation (relative to repo root)
+_working_directory: str | None = None
+
+
+@dataclass
+class OutputLine:
+    """A captured line of output."""
+
+    level: Literal["out", "dbg"]
+    message: str
+
+
+@dataclass
+class ArtifactInfo:
+    """Information about a saved artifact."""
+
+    name: str
+    path: Path
+
+
+@dataclass
+class TaskContext:
+    """
+    Execution context for a single task.
+
+    Tracks output and provides task metadata.
+    """
+
+    task_name: str
+    output: list[OutputLine] = field(default_factory=list)
+
+    # P14: Task declarations for validation
+    declared_outputs: list[str] = field(default_factory=list)
+    declared_artifacts: list[str] = field(default_factory=list)
+    declared_secrets: list[str] = field(default_factory=list)
+
+    # P14: Collected outputs and artifacts
+    task_outputs: dict[str, str] = field(default_factory=dict)
+    task_artifacts: dict[str, ArtifactInfo] = field(default_factory=dict)
+
+    def capture_out(self, message: str) -> None:
+        """Capture an output line."""
+        self.output.append(OutputLine(level="out", message=message))
+
+    def capture_dbg(self, message: str) -> None:
+        """Capture a debug line."""
+        self.output.append(OutputLine(level="dbg", message=message))
+
+    def set_output(self, name: str, value: str) -> None:
+        """
+        Set a task output value.
+
+        Validates the name against declared outputs and writes to GITHUB_OUTPUT if in GHA.
+        """
+        if self.declared_outputs and name not in self.declared_outputs:
+            raise ValueError(
+                f"Output '{name}' not declared in @task(outputs=[...]). Declared outputs: {self.declared_outputs}"
+            )
+        self.task_outputs[name] = value
+
+        # Write to GITHUB_OUTPUT if running in GHA
+        github_output = os.environ.get("GITHUB_OUTPUT")
+        if github_output:
+            with open(github_output, "a") as f:
+                # Handle multi-line values with delimiter syntax
+                if "\n" in value:
+                    import uuid
+
+                    delimiter = f"ghadelimiter_{uuid.uuid4()}"
+                    f.write(f"{name}<<{delimiter}\n{value}\n{delimiter}\n")
+                else:
+                    f.write(f"{name}={value}\n")
+
+    def save_artifact(self, name: str, path: Path) -> None:
+        """
+        Save an artifact.
+
+        Validates the name against declared artifacts.
+        """
+        if self.declared_artifacts and name not in self.declared_artifacts:
+            raise ValueError(
+                f"Artifact '{name}' not declared in @task(artifacts=[...]). "
+                f"Declared artifacts: {self.declared_artifacts}"
+            )
+        if not path.exists():
+            raise FileNotFoundError(f"Artifact path does not exist: {path}")
+        self.task_artifacts[name] = ArtifactInfo(name=name, path=path)
+
+    def get_secret(self, name: str) -> str:
+        """
+        Get a secret value.
+
+        Validates the name against declared secrets.
+        In GHA, reads from environment (set by workflow).
+        Locally, reads from ~/.recompose/secrets.toml.
+        """
+        if self.declared_secrets and name not in self.declared_secrets:
+            raise ValueError(
+                f"Secret '{name}' not declared in @task(secrets=[...]). Declared secrets: {self.declared_secrets}"
+            )
+
+        # First try environment variable (GHA or explicit local)
+        value = os.environ.get(name)
+        if value is not None:
+            return value
+
+        # Fall back to local secrets file
+        secrets_file = Path.home() / ".recompose" / "secrets.toml"
+        if secrets_file.exists():
+            try:
+                import tomllib
+
+                with open(secrets_file, "rb") as f:
+                    secrets = tomllib.load(f)
+                if name in secrets:
+                    return str(secrets[name])
+            except Exception as e:
+                raise RuntimeError(f"Failed to read secrets file {secrets_file}: {e}") from e
+
+        raise ValueError(f"Secret '{name}' not found. Set as environment variable or add to ~/.recompose/secrets.toml")
+
+
+# Backwards compatibility alias
+Context = TaskContext
+
+
+@dataclass
+class AutomationContext:
+    """
+    Context for building an automation plan.
+
+    Tracks jobs created via recompose.job() calls during @automation execution.
+    """
+
+    automation_name: str
+    """Name of the automation being built."""
+
+    jobs: list[JobSpec] = field(default_factory=list)
+    """Jobs created during automation execution."""
+
+    input_params: dict[str, Any] = field(default_factory=dict)
+    """Input parameter values (for local execution)."""
+
+    def add_job(self, job_spec: JobSpec) -> None:
+        """Add a job to this automation."""
+        self.jobs.append(job_spec)
+
+
+# Context variable for the current automation context
+_current_automation_context: ContextVar[AutomationContext | None] = ContextVar(
+    "recompose_automation_context", default=None
+)
+
+
+def get_automation_context() -> AutomationContext | None:
+    """Get the current automation context, or None if not in an automation."""
+    return _current_automation_context.get()
+
+
+def set_automation_context(ctx: AutomationContext | None) -> None:
+    """Set the current automation context."""
+    _current_automation_context.set(ctx)
+
+
+@dataclass
+class RecomposeContext:
+    """
+    Global recompose execution context.
+
+    Holds the registries of tasks and automations that were
+    explicitly registered via main(). This replaces the global registries.
+
+    Note: Dispatchables (from make_dispatchable) are automations with
+    workflow_dispatch trigger, so they go in the automations registry.
+    """
+
+    tasks: dict[str, TaskInfo] = field(default_factory=dict)
+    automations: dict[str, Any] = field(default_factory=dict)  # AutomationInfo
+
+
+# Context variable for the current task context (per-task)
+_current_task_context: ContextVar[TaskContext | None] = ContextVar("recompose_task_context", default=None)
+
+# Context variable for task nesting depth (0 = top-level, 1 = first subtask, etc.)
+_task_nesting_depth: ContextVar[int] = ContextVar("recompose_task_nesting_depth", default=0)
+
+# Context variable for the global recompose context (set by main())
+_recompose_context: ContextVar[RecomposeContext | None] = ContextVar("recompose_context", default=None)
+
+
+def get_context() -> TaskContext | None:
+    """Get the current task context, or None if not in a task."""
+    return _current_task_context.get()
+
+
+def set_context(ctx: TaskContext | None) -> None:
+    """Set the current task context."""
+    _current_task_context.set(ctx)
+
+
+def get_task_depth() -> int:
+    """Get the current task nesting depth (0 = top-level)."""
+    return _task_nesting_depth.get()
+
+
+def increment_task_depth() -> int:
+    """Increment task depth and return the new depth."""
+    current = _task_nesting_depth.get()
+    new_depth = current + 1
+    _task_nesting_depth.set(new_depth)
+    return new_depth
+
+
+def decrement_task_depth() -> int:
+    """Decrement task depth and return the new depth."""
+    current = _task_nesting_depth.get()
+    new_depth = max(0, current - 1)
+    _task_nesting_depth.set(new_depth)
+    return new_depth
+
+
+def get_recompose_context() -> RecomposeContext | None:
+    """Get the global recompose context, or None if not running via main()."""
+    return _recompose_context.get()
+
+
+def set_recompose_context(ctx: RecomposeContext | None) -> None:
+    """Set the global recompose context (called by main())."""
+    _recompose_context.set(ctx)
+
+
+def get_task_registry() -> dict[str, TaskInfo]:
+    """
+    Get the task registry from the current recompose context.
+
+    Returns an empty dict if not running in a recompose context.
+    """
+    ctx = _recompose_context.get()
+    if ctx is None:
+        return {}
+    return ctx.tasks
+
+
+def get_automation_registry() -> dict[str, Any]:
+    """
+    Get the automation registry from the current recompose context.
+
+    Returns an empty dict if not running in a recompose context.
+    """
+    ctx = _recompose_context.get()
+    if ctx is None:
+        return {}
+    return ctx.automations
+
+
+def get_task(name: str) -> TaskInfo | None:
+    """
+    Look up a task by name.
+
+    Args:
+        name: Task name (short name or full module:name).
+
+    Returns:
+        TaskInfo if found, None otherwise.
+
+    """
+    registry = get_task_registry()
+
+    # Try exact match first
+    if name in registry:
+        return registry[name]
+
+    # Try short name match
+    for full_name, info in registry.items():
+        if info.name == name:
+            return info
+
+    return None
+
+
+def get_automation(name: str) -> Any | None:
+    """
+    Look up an automation by name.
+
+    Args:
+        name: Automation name (short name or full module:name).
+
+    Returns:
+        AutomationInfo if found, None otherwise.
+
+    """
+    registry = get_automation_registry()
+
+    # Try exact match first
+    if name in registry:
+        return registry[name]
+
+    # Try short name match
+    for full_name, info in registry.items():
+        if info.name == name:
+            return info
+
+    return None
+
+
+def set_debug(enabled: bool) -> None:
+    """Enable or disable debug output."""
+    global _debug_mode
+    _debug_mode = enabled
+
+
+def is_debug() -> bool:
+    """Check if debug mode is enabled."""
+    return _debug_mode
+
+
+def set_module_name(name: str) -> None:
+    """
+    Set the module name for subprocess isolation (called by main()).
+
+    Args:
+        name: Importable module path (e.g., "examples.app")
+
+    """
+    global _module_name
+    _module_name = name
+
+
+def get_module_name() -> str | None:
+    """
+    Get the module name for subprocess isolation.
+
+    Returns:
+        Importable module path, or None if not set.
+
+    """
+    return _module_name
+
+
+def set_cli_command(cmd: str) -> None:
+    """
+    Set the CLI command for GHA workflow generation.
+
+    Args:
+        cmd: CLI entry point command (e.g., "./run", "uv run python -m app").
+
+    """
+    global _cli_command
+    _cli_command = cmd
+
+
+def get_cli_command() -> str:
+    """
+    Get the CLI command for GHA workflow generation.
+
+    Returns:
+        CLI entry point command (default: "./run").
+
+    """
+    return _cli_command
+
+
+def set_working_directory(directory: str | None) -> None:
+    """
+    Set the working directory for GHA workflow generation.
+
+    Args:
+        directory: Working directory relative to repo root, or None for repo root.
+
+    """
+    global _working_directory
+    _working_directory = directory
+
+
+def get_working_directory() -> str | None:
+    """
+    Get the working directory for GHA workflow generation.
+
+    Returns:
+        Working directory relative to repo root, or None for repo root.
+
+    """
+    return _working_directory
+
+
+def out(message: str) -> None:
+    """
+    Output a message.
+
+    When running inside a task context, the message is captured.
+    The task wrapper handles prefixing captured output.
+    """
+    ctx = _current_task_context.get()
+    if ctx is not None:
+        ctx.capture_out(message)
+
+    print(message, flush=True)
+
+
+def dbg(message: str) -> None:
+    """
+    Output a debug message.
+
+    When running inside a task context, the message is captured.
+    Only prints to console if debug mode is enabled.
+    The task wrapper handles prefixing captured output.
+    """
+    ctx = _current_task_context.get()
+    if ctx is not None:
+        ctx.capture_dbg(message)
+    if _debug_mode:
+        print(f"[debug] {message}", flush=True)
+
+
+def set_output(name: str, value: str) -> None:
+    """
+    Set a task output value.
+
+    Must be called from within a task that declared the output in @task(outputs=[...]).
+    In GHA, also writes to GITHUB_OUTPUT file.
+
+    Args:
+        name: Output name (must be declared in @task decorator)
+        value: Output value (will be converted to string)
+
+    Raises:
+        RuntimeError: If not called from within a task context
+        ValueError: If name is not in declared outputs
+
+    Example:
+        @task(outputs=["wheel_path", "version"])
+        def build_wheel() -> Result[None]:
+            recompose.set_output("wheel_path", "/dist/pkg-1.0.0.whl")
+            recompose.set_output("version", "1.0.0")
+            return Ok(None)
+
+    """
+    ctx = _current_task_context.get()
+    if ctx is None:
+        raise RuntimeError("set_output() must be called from within a task context")
+    ctx.set_output(name, str(value))
+
+
+def save_artifact(name: str, path: Path | str) -> None:
+    """
+    Save an artifact file.
+
+    Must be called from within a task that declared the artifact in @task(artifacts=[...]).
+    In GHA automation, this triggers upload-artifact after the task completes.
+
+    Args:
+        name: Artifact name (must be declared in @task decorator)
+        path: Path to the artifact file or directory
+
+    Raises:
+        RuntimeError: If not called from within a task context
+        ValueError: If name is not in declared artifacts
+        FileNotFoundError: If path does not exist
+
+    Example:
+        @task(artifacts=["wheel"])
+        def build_wheel() -> Result[None]:
+            run("uv", "build", "--wheel")
+            recompose.save_artifact("wheel", Path("dist/pkg-1.0.0.whl"))
+            return Ok(None)
+
+    """
+    ctx = _current_task_context.get()
+    if ctx is None:
+        raise RuntimeError("save_artifact() must be called from within a task context")
+    ctx.save_artifact(name, Path(path) if isinstance(path, str) else path)
+
+
+def get_secret(name: str) -> str:
+    """
+    Get a secret value.
+
+    Must be called from within a task that declared the secret in @task(secrets=[...]).
+    In GHA, reads from environment (secrets are passed via workflow env).
+    Locally, reads from ~/.recompose/secrets.toml.
+
+    Args:
+        name: Secret name (must be declared in @task decorator)
+
+    Returns:
+        The secret value
+
+    Raises:
+        RuntimeError: If not called from within a task context
+        ValueError: If name is not in declared secrets, or secret not found
+
+    Example:
+        @task(secrets=["PYPI_TOKEN"])
+        def publish() -> Result[None]:
+            token = recompose.get_secret("PYPI_TOKEN")
+            # use token...
+            return Ok(None)
+
+    """
+    ctx = _current_task_context.get()
+    if ctx is None:
+        raise RuntimeError("get_secret() must be called from within a task context")
+    return ctx.get_secret(name)
diff --git a/recompose/src/recompose/gh_cli.py b/recompose/src/recompose/gh_cli.py
new file mode 100644
index 000000000000..7278d3aa3691
--- /dev/null
+++ b/recompose/src/recompose/gh_cli.py
@@ -0,0 +1,688 @@
+"""GitHub CLI integration for workflow dispatch and status.
+
+This module provides a Python interface to the `gh` CLI for:
+- Triggering workflow_dispatch events
+- Checking workflow run status
+- Validating workflow file sync between local and remote
+
+Requires the `gh` CLI to be installed and authenticated.
+"""
+
+from __future__ import annotations
+
+import json
+import subprocess
+from dataclasses import dataclass
+from pathlib import Path
+from typing import Any
+
+from .result import Err, Ok, Result
+
+
+class GitHubError(Exception):
+    """Error interacting with GitHub."""
+
+
+@dataclass
+class WorkflowRun:
+    """Information about a GitHub Actions workflow run."""
+
+    id: int
+    name: str
+    status: str  # queued, in_progress, completed
+    conclusion: str | None  # success, failure, cancelled, skipped, etc.
+    head_branch: str
+    head_sha: str
+    url: str
+    created_at: str
+    updated_at: str
+
+    @property
+    def display_status(self) -> str:
+        """Get a human-readable status string."""
+        if self.status == "completed":
+            return self.conclusion or "completed"
+        return self.status
+
+
+def _run_gh(*args: str, capture_json: bool = False) -> Result[str | dict[str, Any] | list[Any]]:
+    """
+    Run a gh CLI command.
+
+    Args:
+        args: Command arguments (e.g., "workflow", "list")
+        capture_json: If True, parse output as JSON
+
+    Returns:
+        Result containing stdout (or parsed JSON) on success, error message on failure
+
+    """
+    cmd = ["gh", *args]
+
+    try:
+        result = subprocess.run(
+            cmd,
+            capture_output=True,
+            text=True,
+            timeout=60,
+        )
+    except FileNotFoundError:
+        return Err("GitHub CLI (gh) not found. Install from https://cli.github.com/ and run 'gh auth login'")
+    except subprocess.TimeoutExpired:
+        return Err(f"Command timed out: gh {' '.join(args)}")
+
+    if result.returncode != 0:
+        error_msg = (
+            result.stderr.strip() or result.stdout.strip() or f"Command failed with exit code {result.returncode}"
+        )
+        return Err(error_msg)
+
+    output = result.stdout.strip()
+
+    if capture_json:
+        try:
+            return Ok(json.loads(output))
+        except json.JSONDecodeError as e:
+            return Err(f"Failed to parse JSON output: {e}")
+
+    return Ok(output)
+
+
+GH_NOT_FOUND_ERROR = (
+    "GitHub CLI (gh) not found.\n\n"
+    "The --remote and --status flags require the GitHub CLI.\n"
+    "Install from: https://cli.github.com/\n"
+    "Then run: gh auth login"
+)
+
+
+def is_gh_installed() -> bool:
+    """Check if the gh CLI is installed (doesn't check authentication)."""
+    import shutil
+
+    return shutil.which("gh") is not None
+
+
+def check_gh_available() -> Result[str]:
+    """
+    Check if gh CLI is available and authenticated.
+
+    Returns:
+        Result containing the authenticated user on success
+
+    """
+    if not is_gh_installed():
+        return Err(GH_NOT_FOUND_ERROR)
+
+    result = _run_gh("auth", "status", "--show-token")
+    if result.failed:
+        # Provide more context for auth errors
+        error = str(result.error)
+        if "not logged in" in error.lower() or "auth" in error.lower():
+            return Err(f"GitHub CLI not authenticated.\n\nRun: gh auth login\n\nDetails: {error}")
+        return Err(error)
+    return Ok(str(result.value()))
+
+
+def get_repo_info() -> Result[tuple[str, str]]:
+    """
+    Get the owner and repo name for the current directory.
+
+    Returns:
+        Result containing (owner, repo) tuple
+
+    """
+    result = _run_gh("repo", "view", "--json", "owner,name", capture_json=True)
+    if result.failed:
+        return Err(f"Not in a GitHub repository or not authenticated: {result.error}")
+
+    data = result.value()
+    if isinstance(data, dict):
+        owner = data.get("owner", {}).get("login", "")
+        name = data.get("name", "")
+        if owner and name:
+            return Ok((owner, name))
+
+    return Err("Could not determine repository owner/name")
+
+
+def list_workflow_runs(
+    workflow_name: str | None = None,
+    limit: int = 10,
+    branch: str | None = None,
+) -> Result[list[WorkflowRun]]:
+    """
+    List recent workflow runs.
+
+    Args:
+        workflow_name: Filter by workflow filename (e.g., "recompose_flow_ci.yml")
+        limit: Maximum number of runs to return
+        branch: Filter by branch name
+
+    Returns:
+        Result containing list of WorkflowRun objects
+
+    """
+    args = ["run", "list", "--json", "databaseId,name,status,conclusion,headBranch,headSha,url,createdAt,updatedAt"]
+    args.extend(["--limit", str(limit)])
+
+    if workflow_name:
+        args.extend(["--workflow", workflow_name])
+    if branch:
+        args.extend(["--branch", branch])
+
+    result = _run_gh(*args, capture_json=True)
+    if result.failed:
+        return Err(str(result.error))
+
+    data = result.value()
+    if not isinstance(data, list):
+        return Err(f"Unexpected response format: {type(data)}")
+
+    runs = []
+    for item in data:
+        runs.append(
+            WorkflowRun(
+                id=item["databaseId"],
+                name=item["name"],
+                status=item["status"],
+                conclusion=item.get("conclusion"),
+                head_branch=item["headBranch"],
+                head_sha=item["headSha"],
+                url=item["url"],
+                created_at=item["createdAt"],
+                updated_at=item["updatedAt"],
+            )
+        )
+
+    return Ok(runs)
+
+
+def get_workflow_run(run_id: int) -> Result[WorkflowRun]:
+    """
+    Get details of a specific workflow run.
+
+    Args:
+        run_id: The workflow run ID
+
+    Returns:
+        Result containing WorkflowRun object
+
+    """
+    json_fields = "databaseId,name,status,conclusion,headBranch,headSha,url,createdAt,updatedAt"
+    args = ["run", "view", str(run_id), "--json", json_fields]
+
+    result = _run_gh(*args, capture_json=True)
+    if result.failed:
+        return Err(str(result.error))
+
+    item = result.value()
+    if not isinstance(item, dict):
+        return Err(f"Unexpected response format: {type(item)}")
+
+    return Ok(
+        WorkflowRun(
+            id=item["databaseId"],
+            name=item["name"],
+            status=item["status"],
+            conclusion=item.get("conclusion"),
+            head_branch=item["headBranch"],
+            head_sha=item["headSha"],
+            url=item["url"],
+            created_at=item["createdAt"],
+            updated_at=item["updatedAt"],
+        )
+    )
+
+
+def trigger_workflow(
+    workflow_name: str,
+    ref: str | None = None,
+    inputs: dict[str, str] | None = None,
+) -> Result[str]:
+    """
+    Trigger a workflow_dispatch event.
+
+    Args:
+        workflow_name: Workflow filename (e.g., "recompose_flow_ci.yml")
+        ref: Git ref to run against (branch/tag). Defaults to default branch.
+        inputs: Input parameters for the workflow
+
+    Returns:
+        Result containing success message or error
+
+    """
+    args = ["workflow", "run", workflow_name]
+
+    if ref:
+        args.extend(["--ref", ref])
+
+    if inputs:
+        for key, value in inputs.items():
+            args.extend(["-f", f"{key}={value}"])
+
+    result = _run_gh(*args)
+    if result.failed:
+        return Err(str(result.error))
+
+    return Ok(f"Triggered workflow {workflow_name}")
+
+
+def get_workflow_file_content(workflow_path: str) -> Result[str]:
+    """
+    Get the content of a workflow file from the remote repository.
+
+    Args:
+        workflow_path: Path to workflow file (e.g., ".github/workflows/ci.yml")
+
+    Returns:
+        Result containing the file content as string
+
+    """
+    # Use gh api to get file content
+    args = ["api", f"repos/{{owner}}/{{repo}}/contents/{workflow_path}", "--jq", ".content"]
+
+    result = _run_gh(*args)
+    if result.failed:
+        return Err(str(result.error))
+
+    # Content is base64 encoded
+    import base64
+
+    content_b64 = str(result.value()).strip()
+    try:
+        content = base64.b64decode(content_b64).decode("utf-8")
+        return Ok(content)
+    except Exception as e:
+        return Err(f"Failed to decode file content: {e}")
+
+
+def get_current_branch() -> Result[str]:
+    """Get the current git branch name."""
+    try:
+        result = subprocess.run(
+            ["git", "rev-parse", "--abbrev-ref", "HEAD"],
+            capture_output=True,
+            text=True,
+            timeout=10,
+        )
+        if result.returncode != 0:
+            return Err(result.stderr.strip() or "Failed to get current branch")
+        return Ok(result.stdout.strip())
+    except FileNotFoundError:
+        return Err("git not found")
+    except subprocess.TimeoutExpired:
+        return Err("git command timed out")
+
+
+def find_git_root() -> Path | None:
+    """Find the git repository root directory."""
+    try:
+        result = subprocess.run(
+            ["git", "rev-parse", "--show-toplevel"],
+            capture_output=True,
+            text=True,
+            timeout=10,
+        )
+        if result.returncode == 0:
+            return Path(result.stdout.strip())
+        return None
+    except (FileNotFoundError, subprocess.TimeoutExpired):
+        return None
+
+
+def get_default_branch() -> Result[str]:
+    """Get the default branch of the repository."""
+    result = _run_gh("repo", "view", "--json", "defaultBranchRef", "--jq", ".defaultBranchRef.name")
+    if result.failed:
+        return Err(str(result.error))
+    return Ok(str(result.value()).strip())
+
+
+def validate_workflow_sync(local_path: Path, remote_path: str) -> Result[bool]:
+    """
+    Check if local workflow file matches the remote version.
+
+    Args:
+        local_path: Path to local workflow file
+        remote_path: Path in repository (e.g., ".github/workflows/ci.yml")
+
+    Returns:
+        Result containing True if in sync, or Err with details if not
+
+    """
+    # Read local file
+    if not local_path.exists():
+        return Err(f"Local workflow file not found: {local_path}")
+
+    local_content = local_path.read_text()
+
+    # Get remote file
+    remote_result = get_workflow_file_content(remote_path)
+    if remote_result.failed:
+        # File doesn't exist on remote - that's a sync issue
+        return Err(f"Remote workflow file not found: {remote_path}")
+
+    remote_content = remote_result.value()
+
+    # Compare (normalize line endings)
+    local_normalized = local_content.replace("\r\n", "\n").strip()
+    remote_normalized = str(remote_content).replace("\r\n", "\n").strip()
+
+    if local_normalized == remote_normalized:
+        return Ok(True)
+    else:
+        return Err(
+            f"Workflow out of sync: local '{local_path}' differs from remote '{remote_path}'. "
+            "Commit and push your changes, or use --force to skip validation."
+        )
+
+
+def flow_to_workflow_name(flow_name: str) -> str:
+    """
+    Convert a flow name to the corresponding workflow filename.
+
+    Args:
+        flow_name: Name of the flow (e.g., "ci")
+
+    Returns:
+        Workflow filename (e.g., "recompose_flow_ci.yml")
+
+    """
+    return f"recompose_flow_{flow_name}.yml"
+
+
+def workflow_to_flow_name(workflow_name: str) -> str | None:
+    """
+    Extract flow name from a workflow filename.
+
+    Args:
+        workflow_name: Workflow filename (e.g., "recompose_flow_ci.yml")
+
+    Returns:
+        Flow name (e.g., "ci") or None if not a recompose workflow
+
+    """
+    if workflow_name.startswith("recompose_flow_") and workflow_name.endswith(".yml"):
+        return workflow_name[len("recompose_flow_") : -len(".yml")]
+    return None
+
+
+def automation_to_workflow_name(automation_name: str) -> str:
+    """
+    Convert an automation name to the corresponding workflow filename.
+
+    Args:
+        automation_name: Name of the automation (e.g., "ci")
+
+    Returns:
+        Workflow filename (e.g., "recompose_ci.yml")
+
+    """
+    return f"recompose_{automation_name}.yml"
+
+
+# =============================================================================
+# CLI display functions for --status and --remote
+# =============================================================================
+
+
+def display_flow_status(flow_name: str) -> None:
+    """
+    Show recent GitHub Actions runs for a flow.
+
+    This is the handler for `./run <flow> --status`.
+    Displays recent workflow runs with status icons and links.
+
+    Args:
+        flow_name: Name of the flow to show status for
+
+    Raises:
+        SystemExit: If gh CLI is not installed or there's an error
+
+    """
+    import sys
+
+    from rich.console import Console
+
+    console = Console()
+
+    # Check gh CLI availability upfront
+    if not is_gh_installed():
+        console.print(f"\n[red]Error:[/red] {GH_NOT_FOUND_ERROR}")
+        sys.exit(1)
+
+    workflow_name = flow_to_workflow_name(flow_name)
+
+    console.print(f"\n[bold]Recent runs for [cyan]{flow_name}[/cyan][/bold]")
+    console.print(f"[dim]Workflow: {workflow_name}[/dim]\n")
+
+    result = list_workflow_runs(workflow_name=workflow_name, limit=10)
+
+    if result.failed:
+        console.print(f"[red]Error:[/red] {result.error}")
+        sys.exit(1)
+
+    runs = result.value()
+    if not runs:
+        console.print("[dim]No workflow runs found[/dim]")
+        return
+
+    # Print runs in a table-like format
+    for run in runs:
+        # Status indicator
+        if run.status == "completed":
+            if run.conclusion == "success":
+                status_icon = "[green]✓[/green]"
+            elif run.conclusion == "failure":
+                status_icon = "[red]✗[/red]"
+            elif run.conclusion == "cancelled":
+                status_icon = "[yellow]⊘[/yellow]"
+            else:
+                status_icon = "[dim]?[/dim]"
+        elif run.status == "in_progress":
+            status_icon = "[blue]●[/blue]"
+        else:  # queued
+            status_icon = "[dim]○[/dim]"
+
+        # Format timestamp
+        from datetime import datetime
+
+        try:
+            created = datetime.fromisoformat(run.created_at.replace("Z", "+00:00"))
+            time_str = created.strftime("%Y-%m-%d %H:%M")
+        except (ValueError, AttributeError):
+            time_str = run.created_at[:16] if run.created_at else "?"
+
+        # Print run info
+        console.print(
+            f"  {status_icon} [bold]#{run.id}[/bold]  "
+            f"[dim]{time_str}[/dim]  "
+            f"[cyan]{run.head_branch}[/cyan]  "
+            f"{run.display_status}"
+        )
+        console.print(f"      [dim]{run.url}[/dim]")
+
+    console.print()
+
+
+def trigger_flow_remote(
+    flow_name: str,
+    flow_params: dict[str, Any],
+    ref: str | None,
+    force: bool,
+) -> None:
+    """
+    Trigger a workflow on GitHub Actions.
+
+    This is the handler for `./run <flow> --remote`.
+    Validates workflow sync and triggers the workflow dispatch.
+
+    Args:
+        flow_name: Name of the flow to trigger
+        flow_params: Parameters to pass to the workflow
+        ref: Git ref (branch/tag) to run against, or None for current branch
+        force: If True, skip workflow sync validation
+
+    Raises:
+        SystemExit: If gh CLI is not installed, sync validation fails, or trigger fails
+
+    """
+    import sys
+
+    from rich.console import Console
+
+    console = Console()
+
+    # Check gh CLI availability upfront
+    if not is_gh_installed():
+        console.print(f"\n[red]Error:[/red] {GH_NOT_FOUND_ERROR}")
+        sys.exit(1)
+
+    workflow_name = flow_to_workflow_name(flow_name)
+    workflow_path = f".github/workflows/{workflow_name}"
+
+    console.print(f"\n[bold]Triggering [cyan]{flow_name}[/cyan] on GitHub Actions[/bold]")
+    console.print(f"[dim]Workflow: {workflow_name}[/dim]\n")
+
+    # Determine the ref to use
+    if ref is None:
+        branch_result = get_current_branch()
+        if branch_result.failed:
+            console.print(f"[red]Error:[/red] Could not determine current branch: {branch_result.error}")
+            sys.exit(1)
+        ref = branch_result.value()
+
+    console.print(f"[dim]Branch:[/dim] {ref}")
+
+    # Validate workflow sync (unless --force)
+    if not force:
+        console.print("[dim]Validating workflow sync...[/dim]")
+
+        git_root = find_git_root()
+        if git_root is None:
+            console.print("[red]Error:[/red] Not in a git repository")
+            sys.exit(1)
+
+        local_path = git_root / workflow_path
+
+        sync_result = validate_workflow_sync(local_path, workflow_path)
+        if sync_result.failed:
+            console.print(f"\n[red]Error:[/red] {sync_result.error}")
+            console.print("\n[dim]Use --force to skip validation, or commit and push your workflow changes.[/dim]")
+            sys.exit(1)
+
+        console.print("[green]✓[/green] Workflow in sync with remote")
+
+    # Convert flow params to workflow inputs (as strings)
+    inputs: dict[str, str] = {}
+    for key, value in flow_params.items():
+        if value is not None:
+            inputs[key] = str(value)
+
+    if inputs:
+        console.print(f"[dim]Inputs:[/dim] {inputs}")
+
+    # Trigger the workflow
+    console.print()
+    trigger_result = trigger_workflow(workflow_name, ref=ref, inputs=inputs)
+
+    if trigger_result.failed:
+        console.print(f"[red]Error:[/red] {trigger_result.error}")
+        sys.exit(1)
+
+    console.print(f"[green]✓[/green] {trigger_result.value()}")
+    console.print()
+
+    # Show how to check status
+    console.print(f"[dim]Check status with:[/dim] ./run {flow_name} --status")
+    console.print()
+
+
+def display_automation_status(automation_name: str, branch: str | None = None) -> None:
+    """
+    Show recent GitHub Actions runs for an automation.
+
+    This is the handler for `./run <automation> --status`.
+    Displays recent workflow runs with status icons and links.
+
+    Args:
+        automation_name: Name of the automation to show status for
+        branch: Optional branch to filter runs by (defaults to current branch)
+
+    Raises:
+        SystemExit: If gh CLI is not installed or there's an error
+
+    """
+    import sys
+
+    from rich.console import Console
+
+    console = Console()
+
+    # Check gh CLI availability upfront
+    if not is_gh_installed():
+        console.print(f"\n[red]Error:[/red] {GH_NOT_FOUND_ERROR}")
+        sys.exit(1)
+
+    workflow_name = automation_to_workflow_name(automation_name)
+
+    # Get current branch if not specified
+    if branch is None:
+        branch_result = get_current_branch()
+        if branch_result.ok:
+            branch = branch_result.value()
+
+    console.print(f"\n[bold]Recent runs for [cyan]{automation_name}[/cyan][/bold]")
+    console.print(f"[dim]Workflow: {workflow_name}[/dim]")
+    if branch:
+        console.print(f"[dim]Branch: {branch}[/dim]")
+    console.print()
+
+    result = list_workflow_runs(workflow_name=workflow_name, limit=10, branch=branch)
+
+    if result.failed:
+        console.print(f"[red]Error:[/red] {result.error}")
+        sys.exit(1)
+
+    runs = result.value()
+    if not runs:
+        console.print("[dim]No workflow runs found[/dim]")
+        return
+
+    # Print runs in a table-like format
+    for run in runs:
+        # Status indicator
+        if run.status == "completed":
+            if run.conclusion == "success":
+                status_icon = "[green]✓[/green]"
+            elif run.conclusion == "failure":
+                status_icon = "[red]✗[/red]"
+            elif run.conclusion == "cancelled":
+                status_icon = "[yellow]⊘[/yellow]"
+            else:
+                status_icon = "[dim]?[/dim]"
+        elif run.status == "in_progress":
+            status_icon = "[blue]●[/blue]"
+        else:  # queued
+            status_icon = "[dim]○[/dim]"
+
+        # Format timestamp
+        from datetime import datetime
+
+        try:
+            created = datetime.fromisoformat(run.created_at.replace("Z", "+00:00"))
+            time_str = created.strftime("%Y-%m-%d %H:%M")
+        except (ValueError, AttributeError):
+            time_str = run.created_at[:16] if run.created_at else "?"
+
+        # Print run info
+        console.print(
+            f"  {status_icon} [bold]#{run.id}[/bold]  "
+            f"[dim]{time_str}[/dim]  "
+            f"[cyan]{run.head_branch}[/cyan]  "
+            f"{run.display_status}"
+        )
+        console.print(f"      [dim]{run.url}[/dim]")
+
+    console.print()
diff --git a/recompose/src/recompose/gha.py b/recompose/src/recompose/gha.py
new file mode 100644
index 000000000000..930776087c0e
--- /dev/null
+++ b/recompose/src/recompose/gha.py
@@ -0,0 +1,875 @@
+"""GitHub Actions workflow generation for recompose.
+
+This module provides:
+- Dataclasses for representing GHA workflow structure
+- Functions to generate workflow YAML from automations and dispatchables
+- Validation via actionlint
+"""
+
+from __future__ import annotations
+
+import shutil
+import subprocess
+from dataclasses import dataclass, field
+from io import StringIO
+from pathlib import Path
+from typing import Any
+
+from ruamel.yaml import YAML
+
+from .result import Ok, Result
+
+
+def _to_kebab_case(name: str) -> str:
+    """Convert a snake_case name to kebab-case for CLI commands."""
+    return name.replace("_", "-")
+
+
+# =============================================================================
+# Workflow Spec Dataclasses
+# =============================================================================
+
+
+@dataclass
+class StepSpec:
+    """A step within a GHA job."""
+
+    name: str
+    run: str | None = None
+    uses: str | None = None
+    with_: dict[str, Any] | None = None
+    env: dict[str, str] | None = None
+    id: str | None = None
+    if_condition: str | None = None  # GHA `if:` expression
+    comment: str | None = None  # Comment to add above the step (for run_if conditions)
+
+    def to_dict(self) -> dict[str, Any]:
+        """Convert to dict for YAML serialization."""
+        from ruamel.yaml.comments import CommentedMap
+
+        d: CommentedMap = CommentedMap()
+        d["name"] = self.name
+        if self.id:
+            d["id"] = self.id
+        if self.if_condition:
+            d["if"] = self.if_condition
+        if self.uses:
+            d["uses"] = self.uses
+        if self.with_:
+            d["with"] = self.with_
+        if self.run:
+            d["run"] = self.run
+        if self.env:
+            d["env"] = self.env
+
+        # Add comment before the 'run' key if specified
+        if self.comment and self.run:
+            # indent=6 aligns with step keys when nested under jobs.<name>.steps list
+            d.yaml_set_comment_before_after_key("run", before=self.comment, indent=6)
+
+        return d
+
+
+@dataclass
+class GHAJobSpec:
+    """A job within a GHA workflow (multi-job model).
+
+    This class represents the YAML structure of a GHA job, supporting:
+    - needs: job dependencies
+    - outputs: job outputs (for passing data between jobs)
+    - if_condition: job-level condition
+    - matrix: parallel matrix execution
+    """
+
+    name: str
+    runs_on: str = "ubuntu-latest"
+    steps: list[StepSpec] = field(default_factory=list)
+    env: dict[str, str] | None = None
+    timeout_minutes: int | None = None
+    working_directory: str | None = None
+    needs: list[str] | None = None
+    outputs: dict[str, str] | None = None
+    if_condition: str | None = None
+    matrix: dict[str, list[Any]] | None = None
+
+    def to_dict(self) -> dict[str, Any]:
+        """Convert to dict for YAML serialization."""
+        d: dict[str, Any] = {"runs-on": self.runs_on}
+
+        # Add needs (dependencies)
+        if self.needs:
+            d["needs"] = self.needs
+
+        # Add job-level if condition
+        if self.if_condition:
+            d["if"] = self.if_condition
+
+        # Add outputs
+        if self.outputs:
+            d["outputs"] = self.outputs
+
+        # Add matrix strategy
+        if self.matrix:
+            d["strategy"] = {"matrix": self.matrix}
+            # For matrix jobs, runs-on often uses matrix variable
+            if "${{ matrix." in self.runs_on:
+                pass  # Already set correctly
+
+        if self.working_directory:
+            d["defaults"] = {"run": {"working-directory": self.working_directory}}
+        if self.env:
+            d["env"] = self.env
+        if self.timeout_minutes:
+            d["timeout-minutes"] = self.timeout_minutes
+        d["steps"] = [s.to_dict() for s in self.steps]
+        return d
+
+
+# Backwards compatibility alias
+JobSpec = GHAJobSpec
+
+
+@dataclass
+class WorkflowDispatchInput:
+    """An input for workflow_dispatch trigger."""
+
+    name: str
+    description: str
+    required: bool = False
+    default: str | bool | int | float | None = None
+    type: str = "string"  # string, boolean, choice, number
+
+    def to_dict(self) -> dict[str, Any]:
+        """Convert to dict for YAML serialization."""
+        d: dict[str, Any] = {
+            "description": self.description,
+            "required": self.required,
+            "type": self.type,
+        }
+        if self.default is not None:
+            d["default"] = self.default
+        return d
+
+
+def generate_workflow_header(source: str | None = None) -> str:
+    """
+    Generate a header comment for generated workflow files.
+
+    Args:
+        source: Optional description of what generated this workflow
+                (e.g., "automation: ci" or "dispatchable: lint")
+
+    Returns:
+        Header comment string to prepend to YAML content.
+
+    """
+    lines = [
+        "# ============================================================================",
+        "# GENERATED FILE - DO NOT EDIT MANUALLY",
+        "#",
+        "# This workflow is generated by recompose. To modify:",
+        "#   1. Edit the source automation/task definition",
+        "#   2. Run: ./run generate_gha",
+        "#   3. Commit the regenerated file",
+        "#",
+    ]
+    if source:
+        lines.append(f"# Source: {source}")
+    lines.extend(
+        [
+            "# ============================================================================",
+            "",
+        ]
+    )
+    return "\n".join(lines)
+
+
+@dataclass
+class WorkflowSpec:
+    """A complete GHA workflow."""
+
+    name: str
+    on: dict[str, Any]
+    jobs: dict[str, JobSpec]
+    path: Path | None = None  # Output file path, if known
+
+    def __str__(self) -> str:
+        """User-friendly string representation."""
+        num_jobs = len(self.jobs)
+        total_steps = sum(len(job.steps) for job in self.jobs.values())
+        triggers = ", ".join(self.on.keys())
+        path_str = f" -> {self.path}" if self.path else ""
+        return f"WorkflowSpec({self.name}) - {num_jobs} job(s), {total_steps} step(s), on: {triggers}{path_str}"
+
+    __repr__ = __str__
+
+    def to_dict(self) -> dict[str, Any]:
+        """Convert to dict for YAML serialization."""
+        return {
+            "name": self.name,
+            "on": self.on,
+            "jobs": {name: job.to_dict() for name, job in self.jobs.items()},
+        }
+
+    def to_yaml(self, *, include_header: bool = False, source: str | None = None) -> str:
+        """
+        Render as YAML string.
+
+        Args:
+            include_header: If True, prepend generated-file header comment.
+            source: Source description for header (e.g., "automation: ci").
+                    If not provided and include_header=True, uses workflow name.
+
+        Returns:
+            YAML string, optionally with header.
+
+        """
+        yaml = YAML()
+        yaml.default_flow_style = False
+        # Disable YAML anchors/aliases - makes output more readable
+        yaml.representer.ignore_aliases = lambda *args: True
+
+        stream = StringIO()
+        yaml.dump(self.to_dict(), stream)
+        yaml_content = stream.getvalue()
+
+        if include_header:
+            header_source = source if source else f"workflow: {self.name}"
+            return generate_workflow_header(header_source) + yaml_content
+
+        return yaml_content
+
+
+def validate_workflow(yaml_content: str, filepath: Path | None = None) -> tuple[bool, str]:
+    """
+    Validate workflow YAML using actionlint.
+
+    Args:
+        yaml_content: The YAML content to validate.
+        filepath: Optional filepath for error messages.
+
+    Returns:
+        Tuple of (success, message). If success is False, message contains errors.
+
+    """
+    # Check if actionlint is installed
+    actionlint_path = shutil.which("actionlint")
+    if actionlint_path is None:
+        return False, (
+            "actionlint not found. Install with:\n"
+            "  brew install actionlint\n"
+            "  # or\n"
+            "  go install github.com/rhysd/actionlint/cmd/actionlint@latest"
+        )
+
+    # Write to temp file if no filepath provided
+    import tempfile
+
+    if filepath is None:
+        with tempfile.NamedTemporaryFile(mode="w", suffix=".yml", delete=False) as f:
+            f.write(yaml_content)
+            temp_path = Path(f.name)
+        try:
+            result = subprocess.run(
+                [actionlint_path, str(temp_path)],
+                capture_output=True,
+                text=True,
+            )
+        finally:
+            temp_path.unlink()
+    else:
+        # Validate existing file
+        result = subprocess.run(
+            [actionlint_path, str(filepath)],
+            capture_output=True,
+            text=True,
+        )
+
+    if result.returncode == 0:
+        return True, "Validation passed"
+    else:
+        return False, result.stdout + result.stderr
+
+
+# =============================================================================
+# GHA Actions - Virtual tasks that map to `uses:` steps
+# =============================================================================
+
+
+class GHAAction:
+    """
+    A virtual task that represents a GitHub Actions `uses:` step.
+
+    GHA actions are no-ops when run locally but generate `uses:` steps
+    in workflow YAML. They can be used as setup steps in automations.
+
+    Example:
+        from recompose.gha import setup_python, checkout
+
+        # Use as setup steps
+        @task(setup=[checkout, setup_python("3.12")])
+        def my_task() -> Result[None]:
+            ...
+
+    """
+
+    def __init__(
+        self,
+        name: str,
+        uses: str,
+        *,
+        with_params: dict[str, str] | None = None,
+        doc: str | None = None,
+    ):
+        """
+        Create a GHA action.
+
+        Args:
+            name: Display name for the action (e.g., "checkout", "setup_python")
+            uses: The action reference (e.g., "actions/checkout@v4")
+            with_params: Default `with:` parameters for the action
+            doc: Documentation string
+
+        """
+        self.name = name
+        self.uses = uses
+        self.default_with_params = with_params or {}
+        self.doc = doc
+
+    def __call__(self, **kwargs: Any) -> Result[None]:
+        """
+        Execute the action (no-op locally).
+
+        When run locally, GHA actions are no-ops since they only make sense
+        in the context of GitHub Actions runners.
+
+        Returns:
+            Result[None] - always Ok(None) locally.
+
+        """
+        # GHA actions are no-ops when run locally
+        return Ok(None)
+
+
+def _gha_action(
+    name: str,
+    uses: str,
+    **default_params: str,
+) -> GHAAction:
+    """Helper to create a GHA action with default parameters."""
+    return GHAAction(name, uses, with_params=default_params if default_params else None)
+
+
+# =============================================================================
+# Pre-defined GHA Actions
+# =============================================================================
+
+# Checkout repository
+checkout = _gha_action(
+    "checkout",
+    "actions/checkout@v4",
+)
+
+
+# Setup Python
+def setup_python(version: str = "3.11", **kwargs: Any) -> GHAAction:
+    """
+    Create a setup-python action with the specified version.
+
+    Args:
+        version: Python version to install (default: "3.11")
+        **kwargs: Additional parameters for the action
+
+    Returns:
+        GHAAction that can be used as a setup step
+
+    """
+    return GHAAction(
+        "setup_python",
+        "actions/setup-python@v5",
+        with_params={"python-version": version, **kwargs},
+    )
+
+
+# Setup uv
+def setup_uv(version: str = "latest", **kwargs: Any) -> GHAAction:
+    """
+    Create a setup-uv action.
+
+    Args:
+        version: uv version to install (default: "latest")
+        **kwargs: Additional parameters for the action
+
+    Returns:
+        GHAAction that can be used as a setup step
+
+    """
+    params = {**kwargs}
+    if version != "latest":
+        params["version"] = version
+    return GHAAction(
+        "setup_uv",
+        "astral-sh/setup-uv@v4",
+        with_params=params if params else None,
+    )
+
+
+# Setup Rust
+def setup_rust(toolchain: str = "stable", **kwargs: Any) -> GHAAction:
+    """
+    Create a setup-rust action.
+
+    Args:
+        toolchain: Rust toolchain to install (default: "stable")
+        **kwargs: Additional parameters for the action
+
+    Returns:
+        GHAAction that can be used as a setup step
+
+    """
+    return GHAAction(
+        "setup_rust",
+        "dtolnay/rust-toolchain@master",
+        with_params={"toolchain": toolchain, **kwargs},
+    )
+
+
+# Cache
+def cache(path: str, key: str, **kwargs: Any) -> GHAAction:
+    """
+    Create a cache action.
+
+    Args:
+        path: Path(s) to cache
+        key: Cache key
+        **kwargs: Additional parameters (e.g., restore-keys)
+
+    Returns:
+        GHAAction that can be used as a setup step
+
+    """
+    return GHAAction(
+        "cache",
+        "actions/cache@v4",
+        with_params={"path": path, "key": key, **kwargs},
+    )
+
+
+# =============================================================================
+# P14: Multi-Job Workflow Generation from Automations
+# =============================================================================
+
+
+@dataclass
+class SetupStep:
+    """A setup step configuration for workflow generation.
+
+    Represents a GHA action to run as part of job setup (checkout, python, etc.).
+    """
+
+    name: str
+    uses: str
+    with_params: dict[str, Any] | None = None
+
+    def to_step_spec(self) -> StepSpec:
+        """Convert to StepSpec."""
+        return StepSpec(
+            name=self.name,
+            uses=self.uses,
+            with_=self.with_params,
+        )
+
+
+# Default setup steps for most jobs
+DEFAULT_SETUP_STEPS: list[SetupStep] = [
+    SetupStep("Checkout", "actions/checkout@v4"),
+    SetupStep("Setup Python", "actions/setup-python@v5", {"python-version": "3.12"}),
+    SetupStep("Setup uv", "astral-sh/setup-uv@v4"),
+]
+
+
+def _build_artifact_upload_step(artifact_name: str, job_id: str) -> StepSpec:
+    """Build upload-artifact step for a job's artifact."""
+    return StepSpec(
+        name=f"Upload artifact: {artifact_name}",
+        uses="actions/upload-artifact@v4",
+        with_={
+            "name": f"{job_id}-{artifact_name}",
+            "path": f"${{{{ steps.run.outputs.artifact_{artifact_name}_path }}}}",
+        },
+    )
+
+
+def _build_artifact_download_step(
+    artifact_ref: Any,  # ArtifactRef from jobs.py
+) -> StepSpec:
+    """Build download-artifact step for consuming an artifact."""
+    return StepSpec(
+        name=f"Download artifact: {artifact_ref.artifact_name}",
+        uses="actions/download-artifact@v4",
+        with_={
+            "name": f"{artifact_ref.job_id}-{artifact_ref.artifact_name}",
+            "path": f"artifacts/{artifact_ref.artifact_name}",
+        },
+    )
+
+
+def _build_task_run_step(
+    entry_point: str,
+    task_name: str,
+    inputs: dict[str, Any],
+    has_outputs: bool = False,
+    has_artifacts: bool = False,
+) -> StepSpec:
+    """Build the step that runs the task via CLI.
+
+    Args:
+        entry_point: CLI entry point (e.g., "./run")
+        task_name: Name of the task to run
+        inputs: Input values/references for the task
+        has_outputs: If True, add step ID for output capture
+        has_artifacts: If True, add step ID for artifact path capture
+
+    """
+    from .jobs import ArtifactRef, InputParamRef, JobOutputRef
+
+    # Build CLI arguments from inputs
+    args: list[str] = []
+    for name, value in inputs.items():
+        if isinstance(value, JobOutputRef):
+            # Reference to another job's output
+            args.append(f"--{name}={value.to_gha_expr()}")
+        elif isinstance(value, ArtifactRef):
+            # Reference to downloaded artifact path
+            args.append(f"--{name}=artifacts/{value.artifact_name}")
+        elif isinstance(value, InputParamRef):
+            # Reference to workflow input
+            args.append(f"--{name}={value.to_gha_expr()}")
+        else:
+            # Literal value
+            args.append(f"--{name}={value}")
+
+    # Build command
+    cmd_parts = [entry_point, task_name] + args
+    run_cmd = " ".join(cmd_parts)
+
+    return StepSpec(
+        name=task_name,
+        id="run" if (has_outputs or has_artifacts) else None,
+        run=run_cmd,
+    )
+
+
+def _build_job_outputs(task_outputs: list[str], task_artifacts: list[str]) -> dict[str, str] | None:
+    """Build job outputs dict for declared outputs and artifacts.
+
+    Outputs are exposed via the step's GITHUB_OUTPUT.
+    Artifact paths are also exposed as outputs for reference.
+    """
+    if not task_outputs and not task_artifacts:
+        return None
+
+    outputs: dict[str, str] = {}
+
+    # Regular outputs from set_output()
+    for out_name in task_outputs:
+        outputs[out_name] = f"${{{{ steps.run.outputs.{out_name} }}}}"
+
+    # Artifact paths (for jobs that need to know where artifacts are)
+    for artifact_name in task_artifacts:
+        outputs[f"artifact_{artifact_name}_path"] = f"${{{{ steps.run.outputs.artifact_{artifact_name}_path }}}}"
+
+    return outputs
+
+
+def _build_secrets_env(secrets: list[str]) -> dict[str, str] | None:
+    """Build env dict for secrets."""
+    if not secrets:
+        return None
+    return {name: f"${{{{ secrets.{name} }}}}" for name in secrets}
+
+
+def render_automation_jobs(
+    automation_wrapper: Any,  # AutomationWrapper from jobs.py
+    entry_point: str = "./run",
+    default_setup: list[SetupStep] | None = None,
+    working_directory: str | None = None,
+) -> WorkflowSpec:
+    """
+    Generate a multi-job WorkflowSpec from an automation.
+
+    This implements the P14 "tasks as jobs" model where each task in the
+    automation becomes its own GHA job.
+
+    Args:
+        automation_wrapper: The automation wrapper (from @automation decorator)
+        entry_point: CLI entry point for running tasks (e.g., "./run")
+        default_setup: Default setup steps for jobs (uses DEFAULT_SETUP_STEPS if None)
+        working_directory: Working directory for all jobs (relative to repo root)
+
+    Returns:
+        A WorkflowSpec representing the multi-job workflow.
+
+    Example:
+        @automation(trigger=on_push(branches=["main"]))
+        def ci() -> None:
+            lint_job = job(lint)
+            build_job = job(build_wheel)
+            test_job = job(test, inputs={"wheel": build_job.artifact("wheel")})
+
+        spec = render_automation_jobs(ci, entry_point="./run")
+        print(spec.to_yaml())
+
+    """
+    from .jobs import ArtifactRef
+    from .jobs import JobSpec as AutomationJobSpec
+
+    info = automation_wrapper.info
+    setup_steps = default_setup or DEFAULT_SETUP_STEPS
+
+    # Build the automation plan to get job list
+    job_specs: list[AutomationJobSpec] = automation_wrapper.plan()
+
+    # Build trigger config
+    on_config: dict[str, Any]
+    if info.trigger:
+        on_config = info.trigger.to_gha_dict()
+    else:
+        # Default to workflow_dispatch if no trigger specified
+        on_config = {"workflow_dispatch": None}
+
+    # Add workflow_dispatch inputs from InputParam parameters
+    if info.input_params:
+        inputs_dict: dict[str, dict[str, Any]] = {}
+        for param_name, param in info.input_params.items():
+            input_def: dict[str, Any] = {
+                "description": param._description or f"Input: {param_name}",
+                "required": param._required,
+            }
+            if param._default is not None:
+                input_def["default"] = param._default
+            if param._choices:
+                input_def["type"] = "choice"
+                input_def["options"] = param._choices
+            else:
+                # Infer type from default
+                if isinstance(param._default, bool):
+                    input_def["type"] = "boolean"
+                else:
+                    input_def["type"] = "string"
+            inputs_dict[param_name] = input_def
+
+        # Merge with existing workflow_dispatch config
+        if "workflow_dispatch" not in on_config:
+            on_config["workflow_dispatch"] = {}
+        if on_config["workflow_dispatch"] is None:
+            on_config["workflow_dispatch"] = {}
+        on_config["workflow_dispatch"]["inputs"] = inputs_dict
+
+    # Convert each automation JobSpec to a GHA job
+    gha_jobs: dict[str, GHAJobSpec] = {}
+
+    for job_spec in job_specs:
+        task_info = job_spec.task_info
+
+        # Determine setup steps (task-specific or default)
+        if task_info.setup is not None:
+            job_setup = task_info.setup
+        else:
+            job_setup = setup_steps
+
+        # Build step list
+        steps: list[StepSpec] = []
+
+        # 1. Setup steps
+        for setup in job_setup:
+            if isinstance(setup, SetupStep):
+                steps.append(setup.to_step_spec())
+            elif isinstance(setup, GHAAction):
+                steps.append(
+                    StepSpec(
+                        name=setup.name,
+                        uses=setup.uses,
+                        with_=setup.default_with_params if setup.default_with_params else None,
+                    )
+                )
+            else:
+                # Assume it's a StepSpec or dict-like
+                steps.append(setup)
+
+        # 2. Download artifact steps (for inputs that reference artifacts)
+        for input_value in job_spec.inputs.values():
+            if isinstance(input_value, ArtifactRef):
+                steps.append(_build_artifact_download_step(input_value))
+
+        # 3. Task run step
+        has_outputs = bool(task_info.outputs)
+        has_artifacts = bool(task_info.artifacts)
+        steps.append(
+            _build_task_run_step(
+                entry_point=entry_point,
+                task_name=_to_kebab_case(task_info.name),
+                inputs=job_spec.inputs,
+                has_outputs=has_outputs,
+                has_artifacts=has_artifacts,
+            )
+        )
+
+        # 4. Upload artifact steps (for tasks that produce artifacts)
+        for artifact_name in task_info.artifacts:
+            steps.append(_build_artifact_upload_step(artifact_name, job_spec.job_id))
+
+        # Build job dependencies
+        all_deps = job_spec.get_all_dependencies()
+        needs = [dep.job_id for dep in all_deps] if all_deps else None
+
+        # Build job condition
+        if_condition = None
+        if job_spec.condition is not None:
+            if_condition = f"${{{{ {job_spec.condition.to_gha_expr()} }}}}"
+
+        # Build job outputs
+        outputs = _build_job_outputs(task_info.outputs, task_info.artifacts)
+
+        # Build secrets env
+        env = _build_secrets_env(task_info.secrets)
+
+        # Create the GHA job
+        gha_job = GHAJobSpec(
+            name=job_spec.job_id,
+            runs_on=job_spec.runs_on,
+            steps=steps,
+            env=env,
+            needs=needs,
+            outputs=outputs,
+            if_condition=if_condition,
+            matrix=job_spec.matrix,
+            working_directory=working_directory,
+        )
+
+        gha_jobs[job_spec.job_id] = gha_job
+
+    return WorkflowSpec(
+        name=info.name,
+        on=on_config,
+        jobs=gha_jobs,
+    )
+
+
+# =============================================================================
+# P14 Phase 5: render_dispatchable - Single-Job Workflow from Dispatchable
+# =============================================================================
+
+
+def render_dispatchable(
+    dispatchable: Any,  # Dispatchable from jobs.py, avoid circular import
+    entry_point: str = "./run",
+    default_setup: list[SetupStep] | None = None,
+    working_directory: str | None = None,
+) -> WorkflowSpec:
+    """
+    Generate a single-job WorkflowSpec from a Dispatchable.
+
+    This creates a simple workflow with:
+    - workflow_dispatch trigger with inputs derived from dispatchable.inputs
+    - A single job that runs the task via the entry point CLI
+
+    Args:
+        dispatchable: The Dispatchable wrapper (from make_dispatchable())
+        entry_point: CLI entry point for running the task (e.g., "./run")
+        default_setup: Default setup steps for the job (uses DEFAULT_SETUP_STEPS if None)
+        working_directory: Working directory for the job (relative to repo root)
+
+    Returns:
+        A WorkflowSpec representing the single-job workflow.
+
+    Example:
+        lint_workflow = make_dispatchable(lint)
+        spec = render_dispatchable(lint_workflow, entry_point="./run")
+        print(spec.to_yaml())
+
+    """
+    info = dispatchable.info
+    task_info = info.task_info
+    setup_steps = default_setup or DEFAULT_SETUP_STEPS
+
+    # Build workflow_dispatch trigger with inputs
+    dispatch_inputs: dict[str, dict[str, Any]] = {}
+    for input_name, input_spec in info.inputs.items():
+        dispatch_inputs[input_name] = input_spec.to_gha_dict()
+
+    on_config: dict[str, Any] = {"workflow_dispatch": {}}
+    if dispatch_inputs:
+        on_config["workflow_dispatch"]["inputs"] = dispatch_inputs
+
+    # Determine setup steps (task-specific or default)
+    if task_info.setup is not None:
+        job_setup = task_info.setup
+    else:
+        job_setup = setup_steps
+
+    # Build step list
+    steps: list[StepSpec] = []
+
+    # 1. Setup steps
+    for setup in job_setup:
+        if isinstance(setup, SetupStep):
+            steps.append(setup.to_step_spec())
+        elif isinstance(setup, GHAAction):
+            steps.append(
+                StepSpec(
+                    name=setup.name,
+                    uses=setup.uses,
+                    with_=setup.default_with_params if setup.default_with_params else None,
+                )
+            )
+        else:
+            # Assume it's a StepSpec or dict-like
+            steps.append(setup)
+
+    # 2. Task run step
+    # Build CLI arguments from inputs
+    args: list[str] = []
+    for input_name in info.inputs:
+        args.append(f"--{input_name}=${{{{ inputs.{input_name} }}}}")
+
+    cli_task_name = _to_kebab_case(task_info.name)
+    cmd_parts = [entry_point, cli_task_name] + args
+    run_cmd = " ".join(cmd_parts)
+
+    has_outputs = bool(task_info.outputs)
+    has_artifacts = bool(task_info.artifacts)
+
+    steps.append(
+        StepSpec(
+            name=cli_task_name,
+            id="run" if (has_outputs or has_artifacts) else None,
+            run=run_cmd,
+        )
+    )
+
+    # 3. Upload artifact steps (for tasks that produce artifacts)
+    for artifact_name in task_info.artifacts:
+        steps.append(_build_artifact_upload_step(artifact_name, info.name))
+
+    # Build job outputs
+    outputs = _build_job_outputs(task_info.outputs, task_info.artifacts)
+
+    # Build secrets env
+    env = _build_secrets_env(task_info.secrets)
+
+    # Create the GHA job
+    gha_job = GHAJobSpec(
+        name=info.name,
+        runs_on="ubuntu-latest",
+        steps=steps,
+        env=env,
+        outputs=outputs,
+        working_directory=working_directory,
+    )
+
+    return WorkflowSpec(
+        name=info.name,
+        on=on_config,
+        jobs={info.name: gha_job},
+    )
diff --git a/recompose/src/recompose/jobs.py b/recompose/src/recompose/jobs.py
new file mode 100644
index 000000000000..795cddf04f25
--- /dev/null
+++ b/recompose/src/recompose/jobs.py
@@ -0,0 +1,1376 @@
+"""Job-based automation framework for orchestrating multi-job workflows.
+
+This module implements the new "tasks as jobs" model where:
+- Each task maps to a GHA job (not step)
+- Automations orchestrate multiple jobs with `needs:` dependencies
+- Dependencies are inferred from output/artifact references
+
+Example:
+    @recompose.automation
+    def ci() -> None:
+        lint_job = recompose.job(lint)
+        build_job = recompose.job(build_wheel)
+
+        # Dependency inferred from output reference
+        test_job = recompose.job(
+            test_wheel,
+            inputs={"wheel_path": build_job.get("wheel_path")},
+        )
+
+"""
+
+from __future__ import annotations
+
+import functools
+import inspect
+from collections.abc import Callable
+from dataclasses import dataclass, field
+from pathlib import Path
+from typing import TYPE_CHECKING, Any, Generic, TypeVar, overload
+
+if TYPE_CHECKING:
+    from .task import TaskInfo, TaskWrapper
+
+T = TypeVar("T")
+
+
+# =============================================================================
+# Reference Types (for dependency tracking)
+# =============================================================================
+
+
+@dataclass(frozen=True)
+class JobOutputRef:
+    """Reference to a job's output value.
+
+    Created by JobSpec.get(output_name). When used in another job's inputs,
+    this creates an implicit dependency and maps to GHA job output syntax.
+
+    Example:
+        build_job = job(build_wheel)
+        test_job = job(test, inputs={"path": build_job.get("wheel_path")})
+
+    In GHA this generates:
+        jobs:
+          build_wheel:
+            outputs:
+              wheel_path: ${{ steps.run.outputs.wheel_path }}
+          test:
+            needs: [build_wheel]
+            steps:
+              - run: ./run test --path="${{ needs.build_wheel.outputs.wheel_path }}"
+
+    """
+
+    job_id: str
+    """ID of the job this reference points to."""
+
+    output_name: str
+    """Name of the output being referenced."""
+
+    def __repr__(self) -> str:
+        return f"JobOutputRef({self.job_id}.{self.output_name})"
+
+    def to_gha_expr(self) -> str:
+        """Convert to GitHub Actions expression syntax."""
+        return f"${{{{ needs.{self.job_id}.outputs.{self.output_name} }}}}"
+
+
+@dataclass(frozen=True)
+class ArtifactRef:
+    """Reference to a job's artifact.
+
+    Created by JobSpec.artifact(artifact_name). When used in another job's inputs,
+    this creates an implicit dependency and generates upload/download steps.
+
+    Example:
+        build_job = job(build_wheel, artifacts=["wheel"])
+        test_job = job(test, inputs={"wheel": build_job.artifact("wheel")})
+
+    In GHA this generates upload-artifact after build_wheel and
+    download-artifact before test.
+
+    """
+
+    job_id: str
+    """ID of the job that produces this artifact."""
+
+    artifact_name: str
+    """Name of the artifact being referenced."""
+
+    def __repr__(self) -> str:
+        return f"ArtifactRef({self.job_id}.{self.artifact_name})"
+
+
+@dataclass(frozen=True)
+class InputParamRef:
+    """Reference to an automation input parameter.
+
+    Created when InputParam values are used in job inputs.
+    Maps to ${{ inputs.name }} in GHA.
+    """
+
+    param_name: str
+    """Name of the input parameter."""
+
+    def __repr__(self) -> str:
+        return f"InputParamRef({self.param_name})"
+
+    def to_gha_expr(self) -> str:
+        """Convert to GitHub Actions expression syntax."""
+        return f"${{{{ inputs.{self.param_name} }}}}"
+
+
+# =============================================================================
+# Input Parameter Types (for workflow_dispatch)
+# =============================================================================
+
+
+class InputParam(Generic[T]):
+    """Marker type for automation input parameters.
+
+    When used as a type hint in an @automation function, this declares
+    a workflow_dispatch input. The value can be passed to jobs and
+    referenced in conditions.
+
+    Example:
+        @automation
+        def deploy(
+            environment: InputParam[str],
+            skip_tests: InputParam[bool] = InputParam(default=False),
+        ) -> None:
+            test_job = job(test, condition=~skip_tests)
+            deploy_job = job(deploy_task, inputs={"env": environment})
+
+    """
+
+    def __init__(
+        self,
+        *,
+        default: T | None = None,
+        description: str | None = None,
+        required: bool | None = None,
+        choices: list[T] | None = None,
+    ):
+        self._default = default
+        self._description = description
+        self._required = required if required is not None else (default is None)
+        self._choices = choices
+        self._name: str | None = None  # Set when automation is decorated
+        self._value: T | None = None  # Set when automation is called
+
+    @property
+    def name(self) -> str:
+        """Get the parameter name (set during decoration)."""
+        if self._name is None:
+            raise RuntimeError("InputParam name not set - use inside @automation")
+        return self._name
+
+    def _set_name(self, name: str) -> None:
+        """Set the parameter name (called by @automation decorator)."""
+        self._name = name
+
+    def _set_value(self, value: T) -> None:
+        """Set the runtime value (called when automation executes)."""
+        self._value = value
+
+    def to_ref(self) -> InputParamRef:
+        """Convert to a reference for use in job inputs."""
+        return InputParamRef(self.name)
+
+    # Expression algebra for conditions
+    def __eq__(self, other: object) -> ConditionExpr:  # type: ignore[override]
+        """Equality comparison for conditions."""
+        return InputCondition(self.name, "==", other)
+
+    def __ne__(self, other: object) -> ConditionExpr:  # type: ignore[override]
+        """Inequality comparison for conditions."""
+        return InputCondition(self.name, "!=", other)
+
+    def __invert__(self) -> ConditionExpr:
+        """Negation for boolean params (~param)."""
+        return NotCondition(InputCondition(self.name, "==", True))
+
+    def __bool__(self) -> bool:
+        """Raise error - use conditions instead of Python control flow."""
+        raise TypeError(
+            "InputParam cannot be used in Python control flow.\nUse job(..., condition=param == 'value') instead."
+        )
+
+    def __repr__(self) -> str:
+        name = self._name or "?"
+        return f"InputParam({name})"
+
+
+# =============================================================================
+# Artifact Input Type
+# =============================================================================
+
+
+class Artifact:
+    """Type hint for artifact inputs to tasks.
+
+    When a task parameter is typed as Artifact, it indicates that this
+    input should receive an artifact path. In GHA, this triggers
+    download-artifact before the task runs.
+
+    Example:
+        @task
+        def test_wheel(wheel: Artifact) -> Result[None]:
+            # wheel is a Path to the downloaded artifact
+            run("pip", "install", str(wheel))
+            return Ok(None)
+
+    """
+
+    def __init__(self, path: Path | str | None = None):
+        self._path = Path(path) if path else None
+
+    @property
+    def path(self) -> Path:
+        """Get the artifact path."""
+        if self._path is None:
+            raise RuntimeError("Artifact path not set")
+        return self._path
+
+    def __fspath__(self) -> str:
+        """Support os.fspath() for path-like usage."""
+        return str(self.path)
+
+    def __str__(self) -> str:
+        return str(self.path) if self._path else "Artifact(?)"
+
+    def __repr__(self) -> str:
+        return f"Artifact({self._path})"
+
+
+# =============================================================================
+# Condition Expressions (for job-level if:)
+# =============================================================================
+
+
+class ConditionExpr:
+    """Base class for job condition expressions.
+
+    Conditions can be combined with & (and), | (or), and ~ (not).
+    They map to GHA job-level `if:` expressions.
+    """
+
+    def __and__(self, other: ConditionExpr) -> AndCondition:
+        """Logical AND."""
+        return AndCondition(self, other)
+
+    def __or__(self, other: ConditionExpr) -> OrCondition:
+        """Logical OR."""
+        return OrCondition(self, other)
+
+    def __invert__(self) -> NotCondition:
+        """Logical NOT."""
+        return NotCondition(self)
+
+    def __bool__(self) -> bool:
+        """Raise error - expressions can't be used in Python control flow."""
+        raise TypeError(
+            "Condition expressions cannot be used in Python control flow.\n"
+            "Use job(..., condition=expr) to set job conditions."
+        )
+
+    def to_gha_expr(self) -> str:
+        """Convert to GitHub Actions expression syntax."""
+        raise NotImplementedError
+
+    def evaluate(self, context: dict[str, Any]) -> bool:
+        """Evaluate the condition given runtime context."""
+        raise NotImplementedError
+
+
+@dataclass
+class InputCondition(ConditionExpr):
+    """Condition comparing an input parameter to a value."""
+
+    param_name: str
+    op: str  # "==" or "!="
+    value: Any
+
+    def to_gha_expr(self) -> str:
+        if isinstance(self.value, bool):
+            val_str = "true" if self.value else "false"
+        elif isinstance(self.value, str):
+            val_str = f"'{self.value}'"
+        else:
+            val_str = str(self.value)
+        return f"inputs.{self.param_name} {self.op} {val_str}"
+
+    def evaluate(self, context: dict[str, Any]) -> bool:
+        inputs = context.get("inputs", {})
+        actual = inputs.get(self.param_name)
+        if self.op == "==":
+            return bool(actual == self.value)
+        elif self.op == "!=":
+            return bool(actual != self.value)
+        raise ValueError(f"Unknown operator: {self.op}")
+
+    def __repr__(self) -> str:
+        return f"({self.param_name} {self.op} {self.value!r})"
+
+
+@dataclass
+class GitHubCondition(ConditionExpr):
+    """Condition referencing GitHub context."""
+
+    context_path: str  # e.g., "github.ref_name", "github.event_name"
+    op: str | None = None
+    value: Any = None
+
+    def eq(self, value: Any) -> GitHubCondition:
+        """Create equality condition."""
+        return GitHubCondition(self.context_path, "==", value)
+
+    def ne(self, value: Any) -> GitHubCondition:
+        """Create inequality condition."""
+        return GitHubCondition(self.context_path, "!=", value)
+
+    def __eq__(self, other: object) -> GitHubCondition:  # type: ignore[override]
+        """Equality comparison."""
+        return self.eq(other)
+
+    def __ne__(self, other: object) -> GitHubCondition:  # type: ignore[override]
+        """Inequality comparison."""
+        return self.ne(other)
+
+    def to_gha_expr(self) -> str:
+        if self.op is None:
+            return self.context_path
+        if isinstance(self.value, bool):
+            val_str = "true" if self.value else "false"
+        elif isinstance(self.value, str):
+            val_str = f"'{self.value}'"
+        else:
+            val_str = str(self.value)
+        return f"{self.context_path} {self.op} {val_str}"
+
+    def evaluate(self, context: dict[str, Any]) -> bool:
+        # Parse the context path (e.g., "github.ref_name")
+        parts = self.context_path.split(".")
+        value = context
+        for part in parts:
+            value = value.get(part, {}) if isinstance(value, dict) else None
+
+        if self.op is None:
+            return bool(value)
+        elif self.op == "==":
+            return bool(value == self.value)
+        elif self.op == "!=":
+            return bool(value != self.value)
+        raise ValueError(f"Unknown operator: {self.op}")
+
+    def __repr__(self) -> str:
+        if self.op:
+            return f"({self.context_path} {self.op} {self.value!r})"
+        return self.context_path
+
+
+@dataclass
+class AndCondition(ConditionExpr):
+    """Logical AND of two conditions."""
+
+    left: ConditionExpr
+    right: ConditionExpr
+
+    def to_gha_expr(self) -> str:
+        return f"({self.left.to_gha_expr()}) && ({self.right.to_gha_expr()})"
+
+    def evaluate(self, context: dict[str, Any]) -> bool:
+        return self.left.evaluate(context) and self.right.evaluate(context)
+
+    def __repr__(self) -> str:
+        return f"({self.left!r} & {self.right!r})"
+
+
+@dataclass
+class OrCondition(ConditionExpr):
+    """Logical OR of two conditions."""
+
+    left: ConditionExpr
+    right: ConditionExpr
+
+    def to_gha_expr(self) -> str:
+        return f"({self.left.to_gha_expr()}) || ({self.right.to_gha_expr()})"
+
+    def evaluate(self, context: dict[str, Any]) -> bool:
+        return self.left.evaluate(context) or self.right.evaluate(context)
+
+    def __repr__(self) -> str:
+        return f"({self.left!r} | {self.right!r})"
+
+
+@dataclass
+class NotCondition(ConditionExpr):
+    """Logical NOT of a condition."""
+
+    operand: ConditionExpr
+
+    def to_gha_expr(self) -> str:
+        return f"!({self.operand.to_gha_expr()})"
+
+    def evaluate(self, context: dict[str, Any]) -> bool:
+        return not self.operand.evaluate(context)
+
+    def __repr__(self) -> str:
+        return f"(~{self.operand!r})"
+
+
+# =============================================================================
+# GitHub Context References
+# =============================================================================
+
+
+class _GitHubContext:
+    """Namespace for GitHub context references.
+
+    Use these in conditions to reference GitHub Actions context values.
+
+    Example:
+        @automation
+        def deploy(env: InputParam[str]) -> None:
+            deploy_job = job(
+                deploy_task,
+                condition=(env == "prod") & github.ref_name.eq("main"),
+            )
+
+    """
+
+    @property
+    def event_name(self) -> GitHubCondition:
+        """The event that triggered the workflow (e.g., 'push', 'pull_request')."""
+        return GitHubCondition("github.event_name")
+
+    @property
+    def ref(self) -> GitHubCondition:
+        """The full ref (e.g., 'refs/heads/main')."""
+        return GitHubCondition("github.ref")
+
+    @property
+    def ref_name(self) -> GitHubCondition:
+        """The short ref name (e.g., 'main')."""
+        return GitHubCondition("github.ref_name")
+
+    @property
+    def ref_type(self) -> GitHubCondition:
+        """The type of ref ('branch' or 'tag')."""
+        return GitHubCondition("github.ref_type")
+
+    @property
+    def repository(self) -> GitHubCondition:
+        """The repository name (e.g., 'owner/repo')."""
+        return GitHubCondition("github.repository")
+
+    @property
+    def actor(self) -> GitHubCondition:
+        """The user that triggered the workflow."""
+        return GitHubCondition("github.actor")
+
+    @property
+    def sha(self) -> GitHubCondition:
+        """The commit SHA."""
+        return GitHubCondition("github.sha")
+
+    @property
+    def head_ref(self) -> GitHubCondition:
+        """The head branch for pull requests."""
+        return GitHubCondition("github.head_ref")
+
+    @property
+    def base_ref(self) -> GitHubCondition:
+        """The base branch for pull requests."""
+        return GitHubCondition("github.base_ref")
+
+
+# Global instance for convenient access
+github = _GitHubContext()
+
+
+# =============================================================================
+# JobSpec - represents a job in an automation
+# =============================================================================
+
+
+@dataclass
+class JobSpec:
+    """Specification for a job within an automation.
+
+    Created by recompose.job(). Tracks the task, inputs, dependencies,
+    and configuration for generating GHA jobs.
+
+    Attributes:
+        job_id: Unique identifier for this job (usually task name)
+        task_info: The TaskInfo for the task this job runs
+        inputs: Input values/references to pass to the task
+        needs: Explicit job dependencies (inferred deps added automatically)
+        runs_on: Runner specification (default: "ubuntu-latest")
+        matrix: Matrix configuration for parallel jobs
+        condition: Condition expression for job-level if:
+
+    """
+
+    job_id: str
+    """Unique identifier for this job."""
+
+    task_info: TaskInfo
+    """The task this job runs."""
+
+    inputs: dict[str, Any] = field(default_factory=dict)
+    """Input values/references for the task."""
+
+    needs: list[JobSpec] = field(default_factory=list)
+    """Explicit dependencies (inferred deps added in get_all_dependencies)."""
+
+    runs_on: str = "ubuntu-latest"
+    """Runner specification."""
+
+    matrix: dict[str, list[Any]] | None = None
+    """Matrix configuration for parallel jobs."""
+
+    condition: ConditionExpr | None = None
+    """Condition for job-level if:."""
+
+    _inferred_deps: list[JobSpec] = field(default_factory=list, repr=False)
+    """Dependencies inferred from input references."""
+
+    def get(self, output_name: str) -> JobOutputRef:
+        """Get a reference to an output of this job.
+
+        Args:
+            output_name: Name of the output (must be declared in task's outputs)
+
+        Returns:
+            JobOutputRef that can be used in other jobs' inputs
+
+        Raises:
+            ValueError: If output_name not in task's declared outputs
+
+        """
+        if output_name not in self.task_info.outputs:
+            available = ", ".join(self.task_info.outputs) or "(none)"
+            raise ValueError(
+                f"Task '{self.task_info.name}' has no output '{output_name}'. Declared outputs: {available}"
+            )
+        return JobOutputRef(self.job_id, output_name)
+
+    def artifact(self, artifact_name: str) -> ArtifactRef:
+        """Get a reference to an artifact of this job.
+
+        Args:
+            artifact_name: Name of the artifact (must be declared in task's artifacts)
+
+        Returns:
+            ArtifactRef that can be used in other jobs' inputs
+
+        Raises:
+            ValueError: If artifact_name not in task's declared artifacts
+
+        """
+        if artifact_name not in self.task_info.artifacts:
+            available = ", ".join(self.task_info.artifacts) or "(none)"
+            raise ValueError(
+                f"Task '{self.task_info.name}' has no artifact '{artifact_name}'. Declared artifacts: {available}"
+            )
+        return ArtifactRef(self.job_id, artifact_name)
+
+    def get_all_dependencies(self) -> list[JobSpec]:
+        """Get all dependencies (explicit + inferred)."""
+        # Combine explicit and inferred, removing duplicates while preserving order
+        seen = set()
+        all_deps = []
+        for dep in self.needs + self._inferred_deps:
+            if dep.job_id not in seen:
+                seen.add(dep.job_id)
+                all_deps.append(dep)
+        return all_deps
+
+    def __repr__(self) -> str:
+        return f"JobSpec({self.job_id})"
+
+
+# =============================================================================
+# Automation Context
+# =============================================================================
+
+
+# Registry mapping job_id -> JobSpec (for reference resolution)
+_job_registry: dict[str, JobSpec] = {}
+
+
+def _get_job_by_id(job_id: str) -> JobSpec | None:
+    """Get a job from the current automation context by ID."""
+    return _job_registry.get(job_id)
+
+
+def _clear_job_registry() -> None:
+    """Clear the job registry (called at start/end of automation)."""
+    _job_registry.clear()
+
+
+def _register_job(job_spec: JobSpec) -> None:
+    """Register a job in the current automation context."""
+    _job_registry[job_spec.job_id] = job_spec
+
+
+# =============================================================================
+# job() function - creates JobSpec
+# =============================================================================
+
+
+def job(
+    task: TaskWrapper[..., Any],
+    *,
+    inputs: dict[str, Any] | None = None,
+    needs: list[JobSpec] | None = None,
+    runs_on: str = "ubuntu-latest",
+    matrix: dict[str, list[Any]] | None = None,
+    condition: ConditionExpr | None = None,
+    job_id: str | None = None,
+) -> JobSpec:
+    """Create a job specification for an automation.
+
+    This function can only be called inside an @automation-decorated function.
+    It creates a JobSpec that will be rendered as a GHA job.
+
+    Args:
+        task: The task to run (must be @task decorated)
+        inputs: Input values for the task (can include refs to other jobs)
+        needs: Explicit dependencies on other jobs
+        runs_on: Runner specification (default: "ubuntu-latest")
+        matrix: Matrix configuration for parallel execution
+        condition: Condition expression for job-level if:
+        job_id: Custom job ID (default: task name)
+
+    Returns:
+        JobSpec that can be used to reference outputs/artifacts
+
+    Raises:
+        RuntimeError: If called outside an @automation function
+        TypeError: If task is not a @task-decorated function
+
+    Example:
+        @automation
+        def ci() -> None:
+            build_job = job(build_wheel)
+            test_job = job(
+                test_wheel,
+                inputs={"wheel": build_job.get("wheel_path")},
+            )
+
+    """
+    from .context import get_automation_context
+
+    ctx = get_automation_context()
+    if ctx is None:
+        raise RuntimeError("job() can only be called inside an @automation-decorated function.")
+
+    # Validate task
+    task_info = getattr(task, "_task_info", None)
+    if task_info is None:
+        raise TypeError(f"job() requires a @task-decorated function, got {type(task).__name__}")
+
+    # Generate job_id from task name if not provided
+    actual_job_id = job_id or task_info.name
+
+    # Check for duplicate job_id
+    if actual_job_id in _job_registry:
+        raise ValueError(
+            f"Duplicate job_id '{actual_job_id}'. Each job must have a unique ID. "
+            f"Use job_id='...' to specify a custom ID."
+        )
+
+    # Create JobSpec
+    job_spec = JobSpec(
+        job_id=actual_job_id,
+        task_info=task_info,
+        inputs=inputs or {},
+        needs=needs or [],
+        runs_on=runs_on,
+        matrix=matrix,
+        condition=condition,
+    )
+
+    # Infer dependencies from input references
+    _infer_dependencies(job_spec)
+
+    # Register and add to context
+    _register_job(job_spec)
+    ctx.add_job(job_spec)
+
+    return job_spec
+
+
+def _infer_dependencies(job_spec: JobSpec) -> None:
+    """Infer dependencies from JobOutputRef and ArtifactRef in inputs."""
+    inferred: list[JobSpec] = []
+
+    for value in job_spec.inputs.values():
+        if isinstance(value, JobOutputRef):
+            dep_job = _get_job_by_id(value.job_id)
+            if dep_job is None:
+                raise ValueError(
+                    f"JobOutputRef references unknown job '{value.job_id}'. "
+                    f"Make sure the job is created before referencing its outputs."
+                )
+            if dep_job not in inferred:
+                inferred.append(dep_job)
+
+        elif isinstance(value, ArtifactRef):
+            dep_job = _get_job_by_id(value.job_id)
+            if dep_job is None:
+                raise ValueError(
+                    f"ArtifactRef references unknown job '{value.job_id}'. "
+                    f"Make sure the job is created before referencing its artifacts."
+                )
+            if dep_job not in inferred:
+                inferred.append(dep_job)
+
+    job_spec._inferred_deps = inferred
+
+
+# =============================================================================
+# Trigger Types (stubs for Phase 3)
+# =============================================================================
+
+
+@dataclass
+class Trigger:
+    """Base class for workflow triggers."""
+
+    def __or__(self, other: Trigger) -> CombinedTrigger:
+        """Combine triggers with OR."""
+        return CombinedTrigger([self, other])
+
+    def to_gha_dict(self) -> dict[str, Any]:
+        """Convert to GHA 'on:' dict format."""
+        raise NotImplementedError
+
+
+@dataclass
+class CombinedTrigger(Trigger):
+    """Multiple triggers combined with OR."""
+
+    triggers: list[Trigger]
+
+    def __or__(self, other: Trigger) -> CombinedTrigger:
+        return CombinedTrigger(self.triggers + [other])
+
+    def to_gha_dict(self) -> dict[str, Any]:
+        result: dict[str, Any] = {}
+        for trigger in self.triggers:
+            result.update(trigger.to_gha_dict())
+        return result
+
+
+@dataclass
+class PushTrigger(Trigger):
+    """Trigger on push events."""
+
+    branches: list[str] | None = None
+    tags: list[str] | None = None
+    paths: list[str] | None = None
+
+    def to_gha_dict(self) -> dict[str, Any]:
+        config: dict[str, Any] = {}
+        if self.branches:
+            config["branches"] = self.branches
+        if self.tags:
+            config["tags"] = self.tags
+        if self.paths:
+            config["paths"] = self.paths
+        return {"push": config or None}
+
+
+@dataclass
+class PullRequestTrigger(Trigger):
+    """Trigger on pull request events."""
+
+    branches: list[str] | None = None
+    types: list[str] | None = None
+    paths: list[str] | None = None
+
+    def to_gha_dict(self) -> dict[str, Any]:
+        config: dict[str, Any] = {}
+        if self.branches:
+            config["branches"] = self.branches
+        if self.types:
+            config["types"] = self.types
+        if self.paths:
+            config["paths"] = self.paths
+        return {"pull_request": config or None}
+
+
+@dataclass
+class ScheduleTrigger(Trigger):
+    """Trigger on schedule."""
+
+    cron: str
+
+    def to_gha_dict(self) -> dict[str, Any]:
+        return {"schedule": [{"cron": self.cron}]}
+
+
+@dataclass
+class WorkflowDispatchTrigger(Trigger):
+    """Trigger on manual workflow dispatch."""
+
+    # Inputs are populated from automation's InputParam parameters
+    inputs: dict[str, dict[str, Any]] = field(default_factory=dict)
+
+    def to_gha_dict(self) -> dict[str, Any]:
+        if self.inputs:
+            return {"workflow_dispatch": {"inputs": self.inputs}}
+        return {"workflow_dispatch": None}
+
+
+# Convenience functions for creating triggers
+def on_push(
+    branches: list[str] | None = None,
+    tags: list[str] | None = None,
+    paths: list[str] | None = None,
+) -> PushTrigger:
+    """Create a push trigger."""
+    return PushTrigger(branches=branches, tags=tags, paths=paths)
+
+
+def on_pull_request(
+    branches: list[str] | None = None,
+    types: list[str] | None = None,
+    paths: list[str] | None = None,
+) -> PullRequestTrigger:
+    """Create a pull request trigger."""
+    return PullRequestTrigger(branches=branches, types=types, paths=paths)
+
+
+def on_schedule(cron: str) -> ScheduleTrigger:
+    """Create a schedule trigger."""
+    return ScheduleTrigger(cron=cron)
+
+
+def on_workflow_dispatch() -> WorkflowDispatchTrigger:
+    """Create a workflow dispatch trigger."""
+    return WorkflowDispatchTrigger()
+
+
+# =============================================================================
+# AutomationInfo and @automation decorator
+# =============================================================================
+
+
+@dataclass
+class AutomationInfo:
+    """Metadata about a registered automation."""
+
+    name: str
+    """Short name of the automation."""
+
+    module: str
+    """Module where the automation is defined."""
+
+    fn: Callable[..., Any]
+    """The wrapped function (may be the AutomationWrapper)."""
+
+    original_fn: Callable[..., None]
+    """The original unwrapped function."""
+
+    signature: inspect.Signature
+    """Function signature."""
+
+    doc: str | None
+    """Docstring."""
+
+    trigger: Trigger | None = None
+    """Workflow trigger configuration."""
+
+    input_params: dict[str, InputParam[Any]] = field(default_factory=dict)
+    """InputParam objects from the signature."""
+
+    wrapper: Any = None
+    """Reference to the AutomationWrapper (set after wrapper creation)."""
+
+    @property
+    def full_name(self) -> str:
+        """Full qualified name of the automation."""
+        return f"{self.module}:{self.name}"
+
+
+class AutomationWrapper:
+    """Wrapper for @automation-decorated functions."""
+
+    def __init__(
+        self,
+        info: AutomationInfo,
+        original_fn: Callable[..., None],
+    ):
+        self._automation_info = info
+        self._original_fn = original_fn
+        functools.update_wrapper(self, original_fn)
+
+    def __call__(self, **kwargs: Any) -> list[JobSpec]:
+        """Execute the automation and return the list of jobs."""
+        from .context import AutomationContext, set_automation_context
+
+        # Create automation context
+        ctx = AutomationContext(
+            automation_name=self._automation_info.name,
+            input_params=kwargs,
+        )
+
+        # Clear and set up job registry
+        _clear_job_registry()
+        set_automation_context(ctx)
+
+        try:
+            # Set up InputParam values from kwargs
+            for param_name, param_obj in self._automation_info.input_params.items():
+                if param_name in kwargs:
+                    param_obj._set_value(kwargs[param_name])
+
+            # Execute the automation function
+            self._original_fn(**kwargs)
+
+            return ctx.jobs
+        finally:
+            set_automation_context(None)
+            _clear_job_registry()
+
+    def plan(self, **kwargs: Any) -> list[JobSpec]:
+        """Build the automation plan without side effects (alias for __call__)."""
+        return self(**kwargs)
+
+    @property
+    def info(self) -> AutomationInfo:
+        """Get the automation info."""
+        return self._automation_info
+
+
+@overload
+def automation(fn: Callable[..., None]) -> AutomationWrapper: ...
+
+
+@overload
+def automation(
+    *,
+    trigger: Trigger | None = None,
+) -> Callable[[Callable[..., None]], AutomationWrapper]: ...
+
+
+def automation(
+    fn: Callable[..., None] | None = None,
+    *,
+    trigger: Trigger | None = None,
+) -> AutomationWrapper | Callable[[Callable[..., None]], AutomationWrapper]:
+    """
+    Decorator to mark a function as a recompose automation.
+
+    Automations orchestrate multiple tasks as jobs in a GHA workflow.
+    Inside an automation, use recompose.job() to define jobs.
+
+    Args:
+        trigger: Workflow trigger configuration (on_push, on_pull_request, etc.)
+
+    Example:
+        @recompose.automation(trigger=on_push(branches=["main"]))
+        def ci() -> None:
+            '''CI pipeline.'''
+            lint_job = recompose.job(lint)
+            build_job = recompose.job(build_wheel)
+            test_job = recompose.job(
+                test_wheel,
+                inputs={"wheel": build_job.get("wheel_path")},
+            )
+
+    InputParam parameters become workflow_dispatch inputs:
+
+        @recompose.automation
+        def deploy(
+            environment: InputParam[str],
+            skip_tests: InputParam[bool] = InputParam(default=False),
+        ) -> None:
+            test_job = recompose.job(test, condition=~skip_tests)
+            deploy_job = recompose.job(
+                deploy_task,
+                inputs={"env": environment},
+            )
+
+    """
+
+    def decorator(func: Callable[..., None]) -> AutomationWrapper:
+        sig = inspect.signature(func)
+
+        # Extract InputParam parameters from signature
+        input_params: dict[str, InputParam[Any]] = {}
+        for param_name, param in sig.parameters.items():
+            # Check if default is an InputParam
+            if isinstance(param.default, InputParam):
+                param.default._set_name(param_name)
+                input_params[param_name] = param.default
+            # Check if annotation indicates InputParam (no default = required)
+            elif (
+                param.annotation is not inspect.Parameter.empty
+                and hasattr(param.annotation, "__origin__")
+                and getattr(param.annotation, "__origin__", None) is InputParam
+            ):
+                # Create InputParam for required parameter
+                ip = InputParam[Any](required=True)
+                ip._set_name(param_name)
+                input_params[param_name] = ip
+
+        # Create AutomationInfo
+        info = AutomationInfo(
+            name=func.__name__,
+            module=func.__module__,
+            fn=func,  # Will be replaced with wrapper
+            original_fn=func,
+            signature=sig,
+            doc=func.__doc__,
+            trigger=trigger,
+            input_params=input_params,
+        )
+
+        # Create wrapper
+        wrapper = AutomationWrapper(info, func)
+        info.fn = wrapper  # Update to point to wrapper
+        info.wrapper = wrapper  # Store reference for GHA generation
+
+        return wrapper
+
+    # Handle both @automation and @automation(...) forms
+    if fn is not None:
+        return decorator(fn)
+    return decorator
+
+
+# =============================================================================
+# Dispatchable Tasks (P14 Phase 5)
+# =============================================================================
+
+
+@dataclass
+class DispatchInput:
+    """Base class for workflow_dispatch input specifications.
+
+    These are used with make_dispatchable() to define workflow inputs.
+    """
+
+    description: str | None = None
+    required: bool = False
+
+    def to_gha_dict(self) -> dict[str, Any]:
+        """Convert to GHA workflow_dispatch input format."""
+        raise NotImplementedError
+
+
+@dataclass
+class StringInput(DispatchInput):
+    """String input for workflow_dispatch.
+
+    Example:
+        workflow = make_dispatchable(
+            my_task,
+            inputs={"name": StringInput(default="world", description="Name to greet")},
+        )
+
+    """
+
+    default: str | None = None
+
+    def to_gha_dict(self) -> dict[str, Any]:
+        d: dict[str, Any] = {
+            "type": "string",
+            "required": self.required,
+        }
+        if self.description:
+            d["description"] = self.description
+        else:
+            d["description"] = ""
+        if self.default is not None:
+            d["default"] = self.default
+        return d
+
+
+@dataclass
+class BoolInput(DispatchInput):
+    """Boolean input for workflow_dispatch.
+
+    Example:
+        workflow = make_dispatchable(
+            my_task,
+            inputs={"verbose": BoolInput(default=False, description="Enable verbose output")},
+        )
+
+    """
+
+    default: bool = False
+
+    def to_gha_dict(self) -> dict[str, Any]:
+        d: dict[str, Any] = {
+            "type": "boolean",
+            "required": self.required,
+        }
+        if self.description:
+            d["description"] = self.description
+        else:
+            d["description"] = ""
+        d["default"] = self.default
+        return d
+
+
+@dataclass
+class ChoiceInput(DispatchInput):
+    """Choice input for workflow_dispatch.
+
+    Example:
+        workflow = make_dispatchable(
+            deploy_task,
+            inputs={"environment": ChoiceInput(
+                choices=["dev", "staging", "prod"],
+                default="staging",
+                description="Target environment",
+            )},
+        )
+
+    """
+
+    choices: list[str] = field(default_factory=list)
+    default: str | None = None
+
+    def to_gha_dict(self) -> dict[str, Any]:
+        d: dict[str, Any] = {
+            "type": "choice",
+            "required": self.required,
+            "options": self.choices,
+        }
+        if self.description:
+            d["description"] = self.description
+        else:
+            d["description"] = ""
+        if self.default is not None:
+            d["default"] = self.default
+        return d
+
+
+@dataclass
+class DispatchableInfo:
+    """Metadata about a dispatchable task."""
+
+    name: str
+    """Workflow name (defaults to task name)."""
+
+    task_info: TaskInfo
+    """The underlying task."""
+
+    inputs: dict[str, DispatchInput]
+    """Workflow dispatch inputs."""
+
+    @property
+    def full_name(self) -> str:
+        """Full qualified name."""
+        return f"{self.task_info.module}:{self.name}"
+
+
+class Dispatchable:
+    """A task wrapped for workflow_dispatch triggering.
+
+    Created by make_dispatchable(). Can be rendered to a single-job
+    workflow with workflow_dispatch trigger.
+
+    Example:
+        lint_workflow = make_dispatchable(lint)
+        test_workflow = make_dispatchable(
+            test,
+            inputs={"verbose": BoolInput(default=False)},
+        )
+
+        # Add to App for workflow generation
+        app = App(
+            commands=[...],
+            dispatchables=[lint_workflow, test_workflow],
+        )
+
+    """
+
+    def __init__(self, info: DispatchableInfo):
+        self._info = info
+
+    @property
+    def info(self) -> DispatchableInfo:
+        """Get the dispatchable info."""
+        return self._info
+
+    @property
+    def name(self) -> str:
+        """Get the workflow name."""
+        return self._info.name
+
+    @property
+    def task_info(self) -> TaskInfo:
+        """Get the underlying task info."""
+        return self._info.task_info
+
+    def __repr__(self) -> str:
+        return f"Dispatchable({self.name})"
+
+
+def _infer_inputs_from_task(task_info: TaskInfo) -> dict[str, DispatchInput]:
+    """Infer workflow_dispatch inputs from task signature."""
+    inputs: dict[str, DispatchInput] = {}
+
+    for param_name, param in task_info.signature.parameters.items():
+        annotation = param.annotation
+        has_default = param.default is not inspect.Parameter.empty
+        default_value = param.default if has_default else None
+
+        # Determine input type from annotation
+        if annotation is bool or isinstance(default_value, bool):
+            inputs[param_name] = BoolInput(
+                default=default_value if isinstance(default_value, bool) else False,
+                required=not has_default,
+                description=f"Parameter: {param_name}",
+            )
+        elif annotation is int or annotation is float:
+            # GHA doesn't have a native number input, use string
+            inputs[param_name] = StringInput(
+                default=str(default_value) if default_value is not None else None,
+                required=not has_default,
+                description=f"Parameter: {param_name}",
+            )
+        else:
+            # Default to string
+            str_default = None
+            if default_value is not None:
+                if isinstance(default_value, Path):
+                    str_default = str(default_value)
+                elif isinstance(default_value, str):
+                    str_default = default_value
+                else:
+                    str_default = str(default_value)
+            inputs[param_name] = StringInput(
+                default=str_default,
+                required=not has_default,
+                description=f"Parameter: {param_name}",
+            )
+
+    return inputs
+
+
+def make_dispatchable(
+    task: TaskWrapper[..., Any],
+    *,
+    inputs: dict[str, DispatchInput] | None = None,
+    name: str | None = None,
+) -> AutomationWrapper:
+    """Create an automation with workflow_dispatch trigger for a single task.
+
+    This is a convenience function for creating a simple automation that:
+    - Has workflow_dispatch trigger (manually triggerable in GHA)
+    - Runs a single task
+    - Exposes task parameters as workflow inputs
+
+    Args:
+        task: The task to make dispatchable (must be @task decorated)
+        inputs: Optional workflow inputs. If None, infers from task signature.
+                If provided, these override/extend the inferred inputs.
+        name: Optional workflow name. Defaults to task name.
+
+    Returns:
+        AutomationWrapper that can be added to App.automations.
+
+    Example:
+        # Simple - infer inputs from task
+        lint_workflow = make_dispatchable(lint)
+
+        # With explicit inputs
+        test_workflow = make_dispatchable(
+            test,
+            inputs={
+                "verbose": BoolInput(default=False, description="Verbose output"),
+            },
+        )
+
+        # With custom name
+        deploy_prod = make_dispatchable(deploy, name="deploy_production")
+
+        # Register in App
+        app = App(
+            automations=[lint_workflow, test_workflow, deploy_prod],
+            ...
+        )
+
+    """
+    # Validate task
+    task_info = getattr(task, "_task_info", None)
+    if task_info is None:
+        raise TypeError(f"make_dispatchable() requires a @task-decorated function, got {type(task).__name__}")
+
+    # Determine inputs
+    if inputs is None:
+        # Infer from task signature
+        dispatch_inputs = _infer_inputs_from_task(task_info)
+    else:
+        dispatch_inputs = inputs
+
+    # Determine name
+    workflow_name = name if name is not None else task_info.name
+
+    # Convert DispatchInput to InputParam
+    input_params: dict[str, InputParam[Any]] = {}
+    for param_name, dispatch_input in dispatch_inputs.items():
+        # Determine type and create InputParam
+        if isinstance(dispatch_input, BoolInput):
+            ip: InputParam[Any] = InputParam(
+                default=dispatch_input.default,
+                description=dispatch_input.description,
+                required=dispatch_input.required,
+            )
+        elif isinstance(dispatch_input, ChoiceInput):
+            ip = InputParam(
+                default=dispatch_input.default,
+                description=dispatch_input.description,
+                required=dispatch_input.required,
+                choices=dispatch_input.choices,
+            )
+        elif isinstance(dispatch_input, StringInput):
+            ip = InputParam(
+                default=dispatch_input.default,
+                description=dispatch_input.description,
+                required=dispatch_input.required,
+            )
+        else:
+            # Fallback for unknown DispatchInput subclasses
+            ip = InputParam(
+                default=None,
+                description=dispatch_input.description,
+                required=dispatch_input.required,
+            )
+        ip._set_name(param_name)
+        input_params[param_name] = ip
+
+    # Create the automation function that creates a single job
+    def automation_fn(**_kwargs: Any) -> None:
+        # Pass InputParam refs as job inputs
+        job_inputs = {pname: param.to_ref() for pname, param in input_params.items()}
+        job(task, inputs=job_inputs)
+
+    # Create the AutomationInfo
+    info = AutomationInfo(
+        name=workflow_name,
+        module=task_info.module,
+        fn=automation_fn,  # Will be replaced with wrapper
+        original_fn=automation_fn,
+        signature=inspect.signature(automation_fn),
+        doc=task_info.doc,
+        trigger=on_workflow_dispatch(),
+        input_params=input_params,
+    )
+
+    # Create wrapper
+    wrapper = AutomationWrapper(info, automation_fn)
+    info.fn = wrapper
+    info.wrapper = wrapper
+
+    return wrapper
diff --git a/recompose/src/recompose/local_executor.py b/recompose/src/recompose/local_executor.py
new file mode 100644
index 000000000000..05d3948f5cf0
--- /dev/null
+++ b/recompose/src/recompose/local_executor.py
@@ -0,0 +1,503 @@
+"""Local execution of automations.
+
+This module allows running automations locally, executing each job as a subprocess
+with proper dependency ordering and output passing.
+
+The output model is recursive:
+1. Parent prints child's header
+2. Parent executes child, capturing ALL output
+3. Parent prefixes ALL captured output with continuation prefix
+4. Parent prints status with SAME prefix
+5. Move to next child
+"""
+
+from __future__ import annotations
+
+import os
+import subprocess
+import sys
+import tempfile
+import time
+from collections.abc import Callable
+from dataclasses import dataclass, field
+from pathlib import Path
+from typing import TYPE_CHECKING, Any
+
+from .jobs import ArtifactRef, InputParamRef, JobOutputRef, JobSpec
+from .output import COLORS, SUBTASK_MARKER, get_output_manager
+
+if TYPE_CHECKING:
+    from .jobs import AutomationWrapper
+
+
+@dataclass
+class JobResult:
+    """Result of executing a single job."""
+
+    job_id: str
+    success: bool
+    elapsed_seconds: float
+    outputs: dict[str, str] = field(default_factory=dict)
+    output_text: str = ""  # Captured output from the job
+    error: str | None = None
+
+
+@dataclass
+class AutomationResult:
+    """Result of executing an automation."""
+
+    automation_name: str
+    success: bool
+    elapsed_seconds: float
+    job_results: list[JobResult] = field(default_factory=list)
+
+    @property
+    def failed_jobs(self) -> list[JobResult]:
+        """Get list of failed jobs."""
+        return [j for j in self.job_results if not j.success]
+
+
+def topological_sort(jobs: list[JobSpec]) -> list[JobSpec]:
+    """
+    Topologically sort jobs based on dependencies.
+
+    Jobs are sorted so that dependencies come before dependents.
+    Raises ValueError if there's a cycle.
+    """
+    job_map = {j.job_id: j for j in jobs}
+    in_degree: dict[str, int] = {j.job_id: 0 for j in jobs}
+    dependents: dict[str, list[str]] = {j.job_id: [] for j in jobs}
+
+    for job in jobs:
+        for dep in job.get_all_dependencies():
+            if dep.job_id in job_map:
+                in_degree[job.job_id] += 1
+                dependents[dep.job_id].append(job.job_id)
+
+    queue = [jid for jid, deg in in_degree.items() if deg == 0]
+    result: list[JobSpec] = []
+
+    while queue:
+        job_id = queue.pop(0)
+        result.append(job_map[job_id])
+        for dependent_id in dependents[job_id]:
+            in_degree[dependent_id] -= 1
+            if in_degree[dependent_id] == 0:
+                queue.append(dependent_id)
+
+    if len(result) != len(jobs):
+        remaining = [j.job_id for j in jobs if j not in result]
+        raise ValueError(f"Dependency cycle detected involving jobs: {remaining}")
+
+    return result
+
+
+def _group_jobs_by_level(jobs: list[JobSpec]) -> list[list[JobSpec]]:
+    """Group jobs into levels for parallel execution."""
+    if not jobs:
+        return []
+
+    job_map = {j.job_id: j for j in jobs}
+    in_degree: dict[str, int] = {j.job_id: 0 for j in jobs}
+    dependents: dict[str, list[str]] = {j.job_id: [] for j in jobs}
+
+    for job in jobs:
+        for dep in job.get_all_dependencies():
+            if dep.job_id in job_map:
+                in_degree[job.job_id] += 1
+                dependents[dep.job_id].append(job.job_id)
+
+    levels: list[list[JobSpec]] = []
+    remaining = set(job_map.keys())
+
+    while remaining:
+        level = [job_map[jid] for jid in remaining if in_degree[jid] == 0]
+        if not level:
+            raise ValueError(f"Dependency cycle detected involving jobs: {list(remaining)}")
+        levels.append(level)
+        for job in level:
+            remaining.remove(job.job_id)
+            for dependent_id in dependents[job.job_id]:
+                in_degree[dependent_id] -= 1
+
+    return levels
+
+
+def _resolve_input_value(
+    value: Any,
+    job_outputs: dict[str, dict[str, str]],
+    input_params: dict[str, Any],
+) -> Any:
+    """Resolve an input value, replacing refs with actual values."""
+    if isinstance(value, JobOutputRef):
+        job_outputs_for_job = job_outputs.get(value.job_id, {})
+        if value.output_name not in job_outputs_for_job:
+            raise ValueError(
+                f"Output '{value.output_name}' not found in job '{value.job_id}'. "
+                f"Available outputs: {list(job_outputs_for_job.keys())}"
+            )
+        return job_outputs_for_job[value.output_name]
+    elif isinstance(value, ArtifactRef):
+        return f"<artifact:{value.job_id}/{value.artifact_name}>"
+    elif isinstance(value, InputParamRef):
+        if value.param_name not in input_params:
+            raise ValueError(
+                f"Input parameter '{value.param_name}' not provided. Available params: {list(input_params.keys())}"
+            )
+        return input_params[value.param_name]
+    else:
+        return value
+
+
+def _build_cli_args(
+    inputs: dict[str, Any],
+    job_outputs: dict[str, dict[str, str]],
+    input_params: dict[str, Any],
+) -> list[str]:
+    """Build CLI arguments from job inputs."""
+    args: list[str] = []
+    for name, value in inputs.items():
+        resolved = _resolve_input_value(value, job_outputs, input_params)
+        cli_name = name.replace("_", "-")
+        if isinstance(resolved, bool):
+            if resolved:
+                args.append(f"--{cli_name}")
+            else:
+                args.append(f"--no-{cli_name}")
+        else:
+            args.append(f"--{cli_name}={resolved}")
+    return args
+
+
+def _parse_github_output(output_file: Path) -> dict[str, str]:
+    """Parse a GITHUB_OUTPUT file and return the key-value pairs."""
+    outputs: dict[str, str] = {}
+    if not output_file.exists():
+        return outputs
+
+    content = output_file.read_text()
+    lines = content.split("\n")
+
+    i = 0
+    while i < len(lines):
+        line = lines[i]
+        if "=" in line and "<<" not in line:
+            key, value = line.split("=", 1)
+            outputs[key] = value
+            i += 1
+        elif "<<" in line:
+            key, delimiter = line.split("<<", 1)
+            delimiter = delimiter.strip()
+            i += 1
+            value_lines = []
+            while i < len(lines) and lines[i].strip() != delimiter:
+                value_lines.append(lines[i])
+                i += 1
+            outputs[key] = "\n".join(value_lines)
+            i += 1
+        else:
+            i += 1
+
+    return outputs
+
+
+class LocalExecutor:
+    """
+    Executes automations locally by running jobs as subprocesses.
+
+    Uses a recursive output model where each level captures child output
+    and prefixes it uniformly.
+    """
+
+    def __init__(
+        self,
+        *,
+        cli_command: str = "./run",
+        working_directory: Path | str | None = None,
+        dry_run: bool = False,
+        verbose: bool = False,
+    ):
+        self.cli_command = cli_command
+        self.working_directory = Path(working_directory) if working_directory else None
+        self.dry_run = dry_run
+        self.verbose = verbose
+
+    def execute(
+        self,
+        automation: AutomationWrapper | Callable[..., list[JobSpec]],
+        **input_params: Any,
+    ) -> AutomationResult:
+        """Execute an automation locally."""
+        start_time = time.perf_counter()
+        output_mgr = get_output_manager()
+
+        # Get automation name
+        if hasattr(automation, "info"):
+            automation_name = automation.info.name
+        elif hasattr(automation, "__name__"):
+            automation_name = automation.__name__
+        else:
+            automation_name = "automation"
+
+        # Print automation header
+        output_mgr.print_automation_header(automation_name)
+
+        # Execute automation to get jobs
+        jobs = automation(**input_params)
+
+        if not jobs:
+            output_mgr.print("No jobs to execute", style=COLORS["warning"])
+            return AutomationResult(
+                automation_name=automation_name,
+                success=True,
+                elapsed_seconds=time.perf_counter() - start_time,
+            )
+
+        # Group jobs into levels for parallel execution
+        try:
+            levels = _group_jobs_by_level(jobs)
+        except ValueError as e:
+            output_mgr.print_error(str(e))
+            return AutomationResult(
+                automation_name=automation_name,
+                success=False,
+                elapsed_seconds=time.perf_counter() - start_time,
+            )
+
+        # Execute jobs level by level
+        job_outputs: dict[str, dict[str, str]] = {}
+        job_results: list[JobResult] = []
+        failed_jobs: set[str] = set()
+
+        for level_idx, level in enumerate(levels):
+            is_last_level = level_idx == len(levels) - 1
+
+            # Filter out jobs whose dependencies failed
+            runnable = [j for j in level if not any(dep.job_id in failed_jobs for dep in j.get_all_dependencies())]
+            skipped = [j for j in level if j not in runnable]
+
+            # Mark skipped jobs
+            for job_spec in skipped:
+                job_results.append(
+                    JobResult(
+                        job_id=job_spec.job_id,
+                        success=False,
+                        elapsed_seconds=0,
+                        error="Skipped due to failed dependency",
+                    )
+                )
+                failed_jobs.add(job_spec.job_id)
+
+            if not runnable:
+                continue
+
+            # Execute jobs
+            if len(runnable) == 1:
+                # Single job - execute directly
+                job_spec = runnable[0]
+                is_last = is_last_level
+                result = self._execute_and_print_job(job_spec, job_outputs, input_params, is_last=is_last)
+                job_results.append(result)
+                if result.success:
+                    job_outputs[job_spec.job_id] = result.outputs
+                else:
+                    failed_jobs.add(job_spec.job_id)
+            else:
+                # Multiple jobs - run in parallel, then print sequentially
+                # Parallel group is a recursive execution level
+                from concurrent.futures import ThreadPoolExecutor
+                from io import StringIO
+
+                from .output import PARALLEL_PREFIX
+
+                # 1. Print parallel header
+                output_mgr.print_parallel_header()
+
+                # 2. Execute all jobs in parallel (capturing output)
+                results_map: dict[str, JobResult] = {}
+                with ThreadPoolExecutor(max_workers=len(runnable)) as executor:
+                    futures = {
+                        executor.submit(self._execute_job, job_spec, job_outputs, input_params): job_spec
+                        for job_spec in runnable
+                    }
+                    for future in futures:
+                        job_spec = futures[future]
+                        result = future.result()
+                        results_map[job_spec.job_id] = result
+
+                # 3. Capture all job result printing into a buffer
+                buffer = StringIO()
+                old_stdout = sys.stdout
+                sys.stdout = buffer
+                try:
+                    for idx, job_spec in enumerate(runnable):
+                        result = results_map[job_spec.job_id]
+                        is_last = idx == len(runnable) - 1
+                        self._print_job_result(result, is_last=is_last)
+                        job_results.append(result)
+                        if result.success:
+                            job_outputs[job_spec.job_id] = result.outputs
+                        else:
+                            failed_jobs.add(job_spec.job_id)
+                finally:
+                    sys.stdout = old_stdout
+
+                # 4. Prefix all captured output and print
+                captured = buffer.getvalue()
+                if captured:
+                    from .output import prefix_lines
+
+                    print(prefix_lines(captured.rstrip("\n"), PARALLEL_PREFIX), flush=True)
+
+        # Summary
+        elapsed = time.perf_counter() - start_time
+        success = all(r.success for r in job_results)
+
+        output_mgr.print_automation_status(automation_name, success, elapsed, len(job_results))
+
+        return AutomationResult(
+            automation_name=automation_name,
+            success=success,
+            elapsed_seconds=elapsed,
+            job_results=job_results,
+        )
+
+    def _execute_job(
+        self,
+        job_spec: JobSpec,
+        job_outputs: dict[str, dict[str, str]],
+        input_params: dict[str, Any],
+    ) -> JobResult:
+        """Execute a single job, capturing all output."""
+        start_time = time.perf_counter()
+        job_id = job_spec.job_id
+        task_name = job_spec.task_info.name
+        cli_task_name = task_name.replace("_", "-")
+
+        # Build CLI command
+        cli_args = _build_cli_args(job_spec.inputs, job_outputs, input_params)
+        cmd = [self.cli_command, cli_task_name] + cli_args
+
+        if self.dry_run:
+            return JobResult(
+                job_id=job_id,
+                success=True,
+                elapsed_seconds=0,
+                output_text=f"Would run: {' '.join(cmd)}\n",
+            )
+
+        # Create temp file for GITHUB_OUTPUT
+        with tempfile.NamedTemporaryFile(mode="w", suffix=".txt", delete=False) as f:
+            output_file = Path(f.name)
+
+        try:
+            env = os.environ.copy()
+            env["GITHUB_OUTPUT"] = str(output_file)
+            env["RECOMPOSE_SUBPROCESS"] = "1"
+
+            # Propagate color settings to subprocess:
+            # - NO_COLOR takes precedence (already in env if set)
+            # - FORCE_COLOR is propagated if set
+            # - Otherwise, set FORCE_COLOR if terminal supports color
+            if "NO_COLOR" not in env:
+                if "FORCE_COLOR" not in env and get_output_manager().colors_enabled:
+                    env["FORCE_COLOR"] = "1"
+
+            # Run subprocess and capture output
+            process = subprocess.Popen(
+                cmd,
+                cwd=None,
+                env=env,
+                stdout=subprocess.PIPE,
+                stderr=subprocess.STDOUT,
+                text=True,
+            )
+
+            output_lines: list[str] = []
+            assert process.stdout is not None
+            for line in process.stdout:
+                output_lines.append(line.rstrip("\n"))
+
+            process.wait()
+            elapsed = time.perf_counter() - start_time
+
+            # Strip the marker line if present (task prints marker, we already printed header)
+            if output_lines and output_lines[0].startswith(SUBTASK_MARKER):
+                output_lines = output_lines[1:]
+
+            outputs = _parse_github_output(output_file)
+
+            return JobResult(
+                job_id=job_id,
+                success=process.returncode == 0,
+                elapsed_seconds=elapsed,
+                outputs=outputs if process.returncode == 0 else {},
+                output_text="\n".join(output_lines),
+                error="\n".join(output_lines[-10:]) if process.returncode != 0 and output_lines else None,
+            )
+
+        finally:
+            if output_file.exists():
+                output_file.unlink()
+
+    def _execute_and_print_job(
+        self,
+        job_spec: JobSpec,
+        job_outputs: dict[str, dict[str, str]],
+        input_params: dict[str, Any],
+        is_last: bool = False,
+    ) -> JobResult:
+        """Execute a job and print its output with proper prefixing."""
+        # Execute the job (captures output)
+        result = self._execute_job(job_spec, job_outputs, input_params)
+
+        # Print using recursive model
+        self._print_job_result(result, is_last=is_last)
+
+        return result
+
+    def _print_job_result(self, result: JobResult, is_last: bool = False) -> None:
+        """Print job result using recursive output model."""
+        output_mgr = get_output_manager()
+
+        # 1. Print header
+        output_mgr.print_header(result.job_id, is_last=is_last)
+
+        # 2. Get continuation prefix based on is_last
+        prefix = output_mgr.get_continuation_prefix(is_last)
+
+        # 3. Print captured output with prefix (if verbose or failed)
+        if self.verbose and result.output_text:
+            output_mgr.print_prefixed(result.output_text, prefix)
+        elif not result.success and result.output_text:
+            # Show last few lines on failure
+            lines = result.output_text.split("\n")[-10:]
+            output_mgr.print_prefixed("\n".join(lines), prefix)
+
+        # 4. Print status with SAME prefix (styled)
+        output_mgr.print_status(result.success, result.elapsed_seconds, prefix=prefix)
+
+        # 5. Print outputs if verbose (after status, dimmed)
+        if result.success and result.outputs and self.verbose:
+            for k, v in result.outputs.items():
+                output_mgr.print(prefix, style=COLORS["tree"], end="")
+                output_mgr.print(f"output: {k}={v}", style=COLORS["dim"])
+
+
+def execute_automation(
+    automation: AutomationWrapper | Callable[..., list[JobSpec]],
+    *,
+    cli_command: str = "./run",
+    working_directory: Path | str | None = None,
+    dry_run: bool = False,
+    verbose: bool = False,
+    **input_params: Any,
+) -> AutomationResult:
+    """Execute an automation locally."""
+    executor = LocalExecutor(
+        cli_command=cli_command,
+        working_directory=working_directory,
+        dry_run=dry_run,
+        verbose=verbose,
+    )
+    return executor.execute(automation, **input_params)
diff --git a/recompose/src/recompose/output.py b/recompose/src/recompose/output.py
new file mode 100644
index 000000000000..7cc8de188ff5
--- /dev/null
+++ b/recompose/src/recompose/output.py
@@ -0,0 +1,341 @@
+"""Unified output management for recompose.
+
+This module provides simple, recursive output formatting for tasks and automations.
+
+The model is simple:
+1. Parent prints child's header (├─▶ or └─▶)
+2. Parent executes child, capturing ALL output
+3. Parent prefixes ALL captured output with continuation prefix
+4. Parent prints status with SAME prefix
+5. Move to next child
+
+This composes naturally - each level captures and prefixes its children's output.
+"""
+
+from __future__ import annotations
+
+import io
+import os
+import re
+import sys
+from collections.abc import Generator
+from contextlib import contextmanager
+from dataclasses import dataclass, field
+from enum import Enum
+
+from rich.console import Console
+
+
+class Verbosity(Enum):
+    """Verbosity levels for output."""
+
+    QUIET = 0  # Minimal output (errors only)
+    NORMAL = 1  # Standard output (headers, status)
+    VERBOSE = 2  # Detailed output (all subprocess output)
+
+
+# Symbols for tree output
+SYMBOLS = {
+    "entry": "▶",  # Top-level entry point
+    "entry_down": "▼",  # Top-level with children
+    "branch": "├──▶",  # Non-last sibling
+    "last": "└──▶",  # Last sibling
+    "pipe": "│",  # Continuation line
+    "parallel": "⊕─┐",  # Parallel group header (corner turns down to children)
+    "success": "✓",  # Success
+    "failure": "✗",  # Failure
+}
+
+# Colors for styled output (Rich style strings)
+# These use logical names so the palette can be easily adjusted
+COLORS = {
+    "tree": "cyan",  # Tree structure symbols (│, ├─▶, etc.)
+    "name": "bold",  # Task/automation names
+    "success": "green",  # Success status (✓)
+    "failure": "red",  # Failure status (✗)
+    "success_bold": "bold green",  # Top-level success messages
+    "failure_bold": "bold red",  # Top-level failure messages
+    "warning": "yellow",  # Warnings
+    "dim": "dim",  # Dimmed/secondary text
+}
+
+# Prefix widths to align content under headers
+BODY_PREFIX = SYMBOLS["pipe"] + " "  # 2 chars: pipe + 1 space (for task body content)
+CONTENT_PREFIX = SYMBOLS["pipe"] + "   "  # 4 chars: pipe + 3 spaces (aligns under ├──▶)
+LAST_PREFIX = "    "  # 4 chars: 4 spaces (no continuation line)
+PARALLEL_PREFIX = "  "  # 2 chars: indent under ⊕─┬
+
+# Task output prefixes (for the recursive capture-and-prefix model)
+SUBTASK_MARKER = "\x00SUBTASK:"  # Marker for subtask names in captured output
+
+# Regex to strip ANSI escape codes
+_ANSI_ESCAPE_RE = re.compile(r"\x1b\[[0-9;]*m")
+
+
+def _strip_ansi(text: str) -> str:
+    """Strip ANSI escape codes from text."""
+    return _ANSI_ESCAPE_RE.sub("", text)
+
+
+def _is_status_line(line: str) -> bool:
+    """Check if a line is a status line (contains success/failure symbols and timing)."""
+    # Status lines contain ✓ or ✗ followed by "succeeded" or "failed" and timing
+    return (SYMBOLS["success"] in line or SYMBOLS["failure"] in line) and (
+        "succeeded in" in line or "failed in" in line
+    )
+
+
+def prefix_task_output(captured: str) -> str:
+    """
+    Prefix captured task output with tree symbols.
+
+    - Subtask markers (always plain) → branch header
+    - Direct body content → BODY_PREFIX (tighter, before subtasks)
+    - Content after subtasks → CONTENT_PREFIX (wider, aligns under ├──▶)
+    - Adds blank continuation lines for visual spacing
+    """
+    if not captured:
+        return ""
+
+    lines = captured.rstrip("\n").split("\n")
+    result: list[str] = []
+    has_seen_subtask = False
+
+    for i, line in enumerate(lines):
+        # Strip ANSI codes for prefix detection (but keep them in output)
+        stripped = _strip_ansi(line)
+
+        if line.startswith(SUBTASK_MARKER):
+            # Add blank line before subtask if there's preceding content (and not already blank)
+            if result and _strip_ansi(result[-1]) != SYMBOLS["pipe"]:
+                result.append(SYMBOLS["pipe"])
+            has_seen_subtask = True
+            # Subtask header (marker is always emitted plain)
+            name = line[len(SUBTASK_MARKER) :]
+            result.append(f"{SYMBOLS['branch']}{name}")
+        elif line.startswith("::group::") or line.startswith("::endgroup::"):
+            # GHA group markers pass through without prefixing
+            result.append(line)
+        else:
+            # Use tighter prefix before subtasks, wider alignment after
+            prefix = CONTENT_PREFIX if has_seen_subtask else BODY_PREFIX
+            result.append(f"{prefix}{line}")
+
+            # Add blank line after status lines if more content follows
+            # Only for "our" status lines (not nested ones that already have prefix)
+            if _is_status_line(line) and not stripped.startswith(SYMBOLS["pipe"]) and i < len(lines) - 1:
+                result.append(SYMBOLS["pipe"])
+
+    return "\n".join(result)
+
+
+def print_task_output_styled(prefixed: str, console: Console) -> None:
+    """
+    Print prefixed task output with styled tree prefixes.
+
+    Tree symbols (│, ├──▶) are printed in cyan.
+    Task names (after ├──▶) are printed in bold.
+    Content is printed as-is (may contain ANSI colors from child output).
+    """
+    if not prefixed:
+        return
+
+    branch = SYMBOLS["branch"]
+
+    for line in prefixed.split("\n"):
+        # Check for branch header line (├──▶task_name)
+        if line.startswith(branch):
+            # Print branch symbol in tree color, task name in bold
+            console.print(branch, style=COLORS["tree"], end="", markup=False, highlight=False)
+            console.print(line[len(branch) :], style=COLORS["name"], markup=False, highlight=False)
+        elif line.startswith(SYMBOLS["pipe"]):
+            # Print pipe prefix in tree color, rest as-is (preserves ANSI)
+            console.print(SYMBOLS["pipe"], style=COLORS["tree"], end="", markup=False, highlight=False)
+            print(line[len(SYMBOLS["pipe"]) :], flush=True)
+        else:
+            # No tree prefix, print as-is
+            print(line, flush=True)
+
+
+def prefix_lines(text: str, prefix: str) -> str:
+    """Add prefix to each non-empty line of text."""
+    if not text:
+        return ""
+    lines = text.rstrip("\n").split("\n")
+    return "\n".join(prefix + line for line in lines)
+
+
+@dataclass
+class OutputManager:
+    """
+    Simple output manager for recompose.
+
+    Uses a recursive model where each execution level captures child output
+    and prefixes it uniformly.
+    """
+
+    console: Console = field(default_factory=Console)
+    verbosity: Verbosity = Verbosity.NORMAL
+    _is_gha: bool = field(default_factory=lambda: os.environ.get("GITHUB_ACTIONS") == "true")
+
+    @property
+    def in_gha(self) -> bool:
+        """Whether running in GitHub Actions."""
+        return self._is_gha
+
+    @property
+    def colors_enabled(self) -> bool:
+        """Whether color output is enabled."""
+        if self._is_gha:
+            return False
+        return self.console.color_system is not None
+
+    def print(self, message: str, style: str | None = None, end: str = "\n") -> None:
+        """Print a message, optionally with Rich styling."""
+        if style and not self._is_gha:
+            self.console.print(message, style=style, end=end, markup=False, highlight=False)
+        else:
+            print(message, end=end, flush=True)
+
+    def print_header(self, name: str, is_last: bool = False, is_top_level: bool = False) -> None:
+        """Print a header for a task/job/step."""
+        if self._is_gha:
+            print(f"::group::{name}", flush=True)
+            return
+
+        if is_top_level:
+            self.print(f"\n{SYMBOLS['entry']} ", style=COLORS["tree"], end="")
+            self.print(name, style=COLORS["name"])
+        else:
+            symbol = SYMBOLS["last"] if is_last else SYMBOLS["branch"]
+            self.print(symbol, style=COLORS["tree"], end="")
+            self.print(name, style=COLORS["name"])
+
+    def print_status(self, success: bool, elapsed: float, prefix: str = "") -> None:
+        """Print completion status with optional prefix."""
+        if self._is_gha:
+            symbol = SYMBOLS["success"] if success else SYMBOLS["failure"]
+            print(f"{symbol} completed in {elapsed:.2f}s", flush=True)
+            print("::endgroup::", flush=True)
+            return
+
+        symbol = SYMBOLS["success"] if success else SYMBOLS["failure"]
+        status_style = COLORS["success"] if success else COLORS["failure"]
+        if prefix:
+            # Print prefix in header style, then status in success/failure style
+            self.print(prefix, style=COLORS["tree"], end="")
+            self.print(f"{symbol} {elapsed:.2f}s", style=status_style)
+            # Extra blank line with prefix for visual separation
+            self.print(prefix.rstrip(), style=COLORS["tree"])
+        else:
+            self.print(f"{symbol} {elapsed:.2f}s", style=status_style)
+
+    def print_top_level_status(self, name: str, success: bool, elapsed: float) -> None:
+        """Print top-level task completion status."""
+        if self._is_gha:
+            return
+
+        symbol = SYMBOLS["success"] if success else SYMBOLS["failure"]
+        status = "succeeded" if success else "failed"
+        style = COLORS["success_bold"] if success else COLORS["failure_bold"]
+        self.print(f"\n{symbol} {name} {status} in {elapsed:.2f}s", style=style)
+
+    def print_parallel_header(self) -> None:
+        """Print header for parallel execution group."""
+        if self._is_gha:
+            return
+
+        self.print(f"{SYMBOLS['parallel']} (parallel)", style=COLORS["tree"])
+
+    def print_automation_header(self, name: str) -> None:
+        """Print automation header."""
+        if self._is_gha:
+            return
+
+        self.print(f"\n{SYMBOLS['entry_down']} ", style=COLORS["tree"], end="")
+        self.print(name, style=COLORS["name"])
+        self.print(SYMBOLS["pipe"], style=COLORS["tree"])
+
+    def print_automation_status(self, name: str, success: bool, elapsed: float, job_count: int) -> None:
+        """Print automation completion status."""
+        if self._is_gha:
+            return
+
+        symbol = SYMBOLS["success"] if success else SYMBOLS["failure"]
+        if success:
+            msg = f"\n{symbol} {name} completed in {elapsed:.2f}s ({job_count} jobs)"
+            self.print(msg, style=COLORS["success_bold"])
+        else:
+            msg = f"\n{symbol} {name} failed in {elapsed:.2f}s"
+            self.print(msg, style=COLORS["failure_bold"])
+
+    def get_continuation_prefix(self, is_last: bool) -> str:
+        """Get the prefix for child content based on whether this is the last sibling."""
+        return LAST_PREFIX if is_last else CONTENT_PREFIX
+
+    def print_prefixed(self, text: str, prefix: str) -> None:
+        """Print text with each line prefixed (prefix styled as header)."""
+        if not text:
+            return
+        for line in text.rstrip("\n").split("\n"):
+            if prefix:
+                self.print(prefix, style=COLORS["tree"], end="")
+            print(line, flush=True)
+
+    def print_error(self, message: str) -> None:
+        """Print an error message."""
+        if self._is_gha:
+            print(f"::error::{message}", flush=True)
+        else:
+            self.print(f"Error: {message}", style=COLORS["failure_bold"])
+
+    @contextmanager
+    def capture_output(self) -> Generator[io.StringIO, None, None]:
+        """Context manager to capture stdout/stderr."""
+        buffer = io.StringIO()
+        old_stdout = sys.stdout
+        old_stderr = sys.stderr
+        sys.stdout = buffer
+        sys.stderr = buffer
+        try:
+            yield buffer
+        finally:
+            sys.stdout = old_stdout
+            sys.stderr = old_stderr
+
+
+# Global output manager instance
+_output_manager: OutputManager | None = None
+
+
+def get_output_manager() -> OutputManager:
+    """Get the global output manager instance."""
+    global _output_manager
+    if _output_manager is None:
+        _output_manager = OutputManager()
+    return _output_manager
+
+
+def reset_output_manager() -> None:
+    """Reset the global output manager (for testing)."""
+    global _output_manager
+    _output_manager = None
+
+
+def configure_output(
+    verbosity: Verbosity = Verbosity.NORMAL,
+    force_color: bool | None = None,
+) -> OutputManager:
+    """Configure the global output manager."""
+    global _output_manager
+
+    if force_color is not None:
+        console = Console(force_terminal=force_color)
+    else:
+        console = Console()
+
+    _output_manager = OutputManager(
+        console=console,
+        verbosity=verbosity,
+    )
+    return _output_manager
diff --git a/recompose/src/recompose/py.typed b/recompose/src/recompose/py.typed
new file mode 100644
index 000000000000..e69de29bb2d1
diff --git a/recompose/src/recompose/result.py b/recompose/src/recompose/result.py
new file mode 100644
index 000000000000..6122ae7e50c0
--- /dev/null
+++ b/recompose/src/recompose/result.py
@@ -0,0 +1,90 @@
+"""Result type for recompose tasks."""
+
+from __future__ import annotations
+
+from typing import TYPE_CHECKING, Any, Generic, Literal, TypeVar
+
+from pydantic import BaseModel, PrivateAttr
+
+if TYPE_CHECKING:
+    from .context import ArtifactInfo
+
+T = TypeVar("T")
+
+
+class Result(BaseModel, Generic[T]):
+    """
+    Result of a task execution.
+
+    Use Ok(value) or Err(message) to construct results.
+    """
+
+    status: Literal["success", "failure"] = "success"
+    error: str | None = None
+    traceback: str | None = None
+    _value: T | None = PrivateAttr(default=None)
+    _outputs: dict[str, str] = PrivateAttr(default_factory=dict)
+    _artifacts: dict[str, ArtifactInfo] = PrivateAttr(default_factory=dict)
+
+    model_config = {"frozen": True}  # Make results immutable
+
+    @property
+    def ok(self) -> bool:
+        """True if the task succeeded."""
+        return self.status == "success"
+
+    @property
+    def failed(self) -> bool:
+        """True if the task failed."""
+        return self.status == "failure"
+
+    @property
+    def outputs(self) -> dict[str, str]:
+        """
+        Get task outputs set via set_output().
+
+        Returns an empty dict if no outputs were set.
+        """
+        return self._outputs
+
+    @property
+    def artifacts(self) -> dict[str, ArtifactInfo]:
+        """
+        Get task artifacts saved via save_artifact().
+
+        Returns an empty dict if no artifacts were saved.
+        """
+        return self._artifacts
+
+    def value(self) -> T:
+        """
+        Get the result value.
+
+        Returns the value if the result is successful (including None for Result[None]).
+        Raises RuntimeError if the result is a failure.
+        """
+        if self.failed:
+            raise RuntimeError(f"Attempted to get value from a failed result: {self.error}")
+        return self._value  # type: ignore[return-value]
+
+    def value_or(self, default: T) -> T:
+        """Get the value, or return a default if the result is a failure or has no value."""
+        if self.ok and self._value is not None:
+            return self._value
+        return default
+
+
+def Ok(value: T) -> Result[T]:
+    """Create a successful result with the given value."""
+    result = Result[T](status="success")
+    object.__setattr__(result, "_value", value)
+    return result
+
+
+def Err(error: str, *, traceback: str | None = None) -> Result[Any]:
+    """Create a failed result with an error message.
+
+    Returns Result[Any] so it can be returned from any function
+    expecting Result[T] - the value is None for errors anyway.
+    """
+    return Result(status="failure", error=error, traceback=traceback)
diff --git a/recompose/src/recompose/step.py b/recompose/src/recompose/step.py
new file mode 100644
index 000000000000..ff00447b6a39
--- /dev/null
+++ b/recompose/src/recompose/step.py
@@ -0,0 +1,225 @@
+"""Visual step grouping for recompose tasks.
+
+This module provides the `@step` decorator and `step()` context manager
+for organizing output within tasks.
+
+- Locally: Output is grouped in a nested tree-view
+- In GHA: Uses `::group::` / `::endgroup::` markers (flat, no nesting)
+"""
+
+from __future__ import annotations
+
+import functools
+import os
+from collections.abc import Callable, Generator
+from contextlib import contextmanager
+from dataclasses import dataclass
+from typing import TYPE_CHECKING, Any, ParamSpec, TypeVar, cast, overload
+
+if TYPE_CHECKING:
+    pass
+
+P = ParamSpec("P")
+T = TypeVar("T")
+
+
+# Environment variable to detect GHA
+ENV_GITHUB_ACTIONS = "GITHUB_ACTIONS"
+
+
+def _is_gha() -> bool:
+    """Check if we're running in GitHub Actions."""
+    return os.environ.get(ENV_GITHUB_ACTIONS) == "true"
+
+
+@dataclass
+class StepContext:
+    """Context for tracking nested steps."""
+
+    name: str
+    depth: int = 0
+    parent: StepContext | None = None
+
+
+# Stack of active step contexts (for nesting)
+_step_stack: list[StepContext] = []
+
+
+def _get_current_depth() -> int:
+    """Get the current step nesting depth."""
+    return len(_step_stack)
+
+
+def _push_step(name: str) -> StepContext:
+    """Push a new step onto the stack."""
+    parent = _step_stack[-1] if _step_stack else None
+    ctx = StepContext(name=name, depth=len(_step_stack), parent=parent)
+    _step_stack.append(ctx)
+    return ctx
+
+
+def _pop_step() -> StepContext | None:
+    """Pop the current step from the stack."""
+    if _step_stack:
+        return _step_stack.pop()
+    return None
+
+
+class StepOutputWrapper:
+    """
+    Wrapper for stdout that adds step indentation for local output.
+
+    In tree mode, output is indented based on step depth.
+    In GHA mode, no transformation is needed (groups are flat).
+    """
+
+    def __init__(self, wrapped: Any, indent: str = "  "):
+        self._wrapped = wrapped
+        self._indent = indent
+        self._at_line_start = True
+
+    def write(self, s: str) -> int:
+        if not s:
+            return 0
+
+        if _is_gha():
+            # In GHA, just pass through - groups are flat
+            self._wrapped.write(s)
+            return len(s)
+
+        # Local mode: add indentation for nested steps
+        depth = _get_current_depth()
+        if depth == 0:
+            self._wrapped.write(s)
+            return len(s)
+
+        result = []
+        indent_prefix = self._indent * depth
+        for char in s:
+            if self._at_line_start and char != "\n":
+                result.append(indent_prefix)
+                self._at_line_start = False
+            result.append(char)
+            if char == "\n":
+                self._at_line_start = True
+
+        output = "".join(result)
+        self._wrapped.write(output)
+        return len(s)
+
+    def flush(self) -> None:
+        self._wrapped.flush()
+
+    def fileno(self) -> int:
+        return int(self._wrapped.fileno())
+
+    @property
+    def encoding(self) -> str:
+        return getattr(self._wrapped, "encoding", "utf-8")
+
+    def isatty(self) -> bool:
+        return bool(self._wrapped.isatty())
+
+
+@contextmanager
+def step(name: str) -> Generator[None, None, None]:
+    """
+    Context manager for visual output grouping.
+
+    Groups output within a task for better organization.
+
+    - Locally: Creates a nested tree-view with indentation
+    - In GHA: Uses `::group::` / `::endgroup::` markers
+
+    Example:
+        @task
+        def build_and_test() -> Result[None]:
+            with recompose.step("Compile"):
+                run("cargo", "build", "--release")
+
+            with recompose.step("Run tests"):
+                run("cargo", "test")
+
+            return Ok(None)
+
+    Local output:
+        build_and_test
+          Compile
+            cargo build --release
+          Run tests
+            cargo test
+        OK
+
+    GHA output:
+        ::group::Compile
+        cargo build --release
+        ::endgroup::
+        ::group::Run tests
+        cargo test
+        ::endgroup::
+
+    """
+    ctx = _push_step(name)
+
+    if _is_gha():
+        # GHA mode: use group markers
+        print(f"::group::{name}", flush=True)
+    else:
+        # Local mode: print step header with indentation
+        depth = ctx.depth
+        indent = "  " * depth
+        print(f"{indent}[{name}]", flush=True)
+
+    try:
+        yield
+    finally:
+        _pop_step()
+        if _is_gha():
+            print("::endgroup::", flush=True)
+
+
+@overload
+def step_decorator(__fn: Callable[P, T]) -> Callable[P, T]: ...
+
+
+@overload
+def step_decorator(__name: str) -> Callable[[Callable[P, T]], Callable[P, T]]: ...
+
+
+def step_decorator(__fn_or_name: Callable[P, T] | str) -> Any:
+    """
+    Decorator form of step() for helper functions.
+
+    Can be used with or without a name:
+
+        @step_decorator
+        def compile_code():
+            run("cargo", "build")
+
+        @step_decorator("Custom Name")
+        def compile_code():
+            run("cargo", "build")
+
+    The output from the decorated function will be grouped
+    under the step name.
+    """
+
+    def decorator(fn: Callable[P, T], name: str | None = None) -> Callable[P, T]:
+        step_name = name or fn.__name__
+
+        @functools.wraps(fn)
+        def wrapper(*args: P.args, **kwargs: P.kwargs) -> T:
+            with step(step_name):
+                return fn(*args, **kwargs)
+
+        return cast(Callable[P, T], wrapper)
+
+    # Handle @step_decorator without arguments
+    if callable(__fn_or_name):
+        return decorator(__fn_or_name)
+
+    # Handle @step_decorator("name")
+    def partial_decorator(fn: Callable[P, T]) -> Callable[P, T]:
+        return decorator(fn, __fn_or_name)
+
+    return partial_decorator
diff --git a/recompose/src/recompose/subprocess.py b/recompose/src/recompose/subprocess.py
new file mode 100644
index 000000000000..72adc810c47d
--- /dev/null
+++ b/recompose/src/recompose/subprocess.py
@@ -0,0 +1,201 @@
+"""Subprocess helpers for recompose tasks."""
+
+from __future__ import annotations
+
+import os
+import subprocess
+import sys
+from dataclasses import dataclass, field
+from pathlib import Path
+
+
+@dataclass
+class RunResult:
+    """
+    Result from running a subprocess.
+
+    Attributes:
+        returncode: The exit code of the process.
+        stdout: Captured stdout (empty string if streaming).
+        stderr: Captured stderr (empty string if streaming).
+        command: The command that was executed.
+
+    """
+
+    returncode: int
+    stdout: str = ""
+    stderr: str = ""
+    command: list[str] = field(default_factory=list)
+
+    @property
+    def ok(self) -> bool:
+        """True if the command succeeded (exit code 0)."""
+        return self.returncode == 0
+
+    @property
+    def failed(self) -> bool:
+        """True if the command failed (non-zero exit code)."""
+        return self.returncode != 0
+
+
+class SubprocessError(Exception):
+    """Raised when a subprocess fails and check=True."""
+
+    def __init__(self, result: RunResult):
+        self.result = result
+        cmd_str = " ".join(result.command)
+        super().__init__(f"Command '{cmd_str}' failed with exit code {result.returncode}")
+
+
+def run(
+    *args: str | Path,
+    cwd: str | Path | None = None,
+    env: dict[str, str] | None = None,
+    capture: bool = False,
+    check: bool = False,
+) -> RunResult:
+    """
+    Run a subprocess command.
+
+    By default, output is streamed to the console in real-time.
+    Use `capture=True` to capture output for parsing instead.
+
+    Args:
+        *args: Command and arguments to run (e.g., "cargo", "build", "--release")
+        cwd: Working directory for the command
+        env: Additional environment variables (merged with current environment)
+        capture: If True, capture stdout/stderr instead of streaming
+        check: If True, raise SubprocessError on non-zero exit code
+
+    Returns:
+        RunResult with exit code and captured output (if capture=True)
+
+    Raises:
+        SubprocessError: If check=True and the command fails
+        FileNotFoundError: If the command is not found
+
+    Example:
+        >>> result = run("echo", "hello")
+        hello
+        >>> result.ok
+        True
+
+        >>> result = run("git", "status", "--porcelain", capture=True)
+        >>> if result.stdout:
+        ...     print("Working directory has changes")
+
+    """
+    # Convert Path objects to strings
+    cmd = [str(arg) for arg in args]
+
+    # Build environment
+    run_env = os.environ.copy()
+    if env:
+        run_env.update(env)
+
+    # Propagate color settings to subprocess if not already set
+    # This ensures tools like pytest, ruff, etc. output colors when the terminal supports it
+    if "NO_COLOR" not in run_env and "FORCE_COLOR" not in run_env:
+        from .context import get_context
+
+        # If we're inside a task context, enable colors (task uses force_terminal=True)
+        # Otherwise, check if the output manager thinks colors are enabled
+        if get_context() is not None:
+            run_env["FORCE_COLOR"] = "1"
+        else:
+            from .output import get_output_manager
+
+            if get_output_manager().colors_enabled:
+                run_env["FORCE_COLOR"] = "1"
+
+    # Convert cwd to string if needed
+    cwd_str = str(cwd) if cwd else None
+
+    if capture:
+        # Capture mode - collect all output
+        completed = subprocess.run(
+            cmd,
+            cwd=cwd_str,
+            env=run_env,
+            capture_output=True,
+            text=True,
+        )
+        result = RunResult(
+            returncode=completed.returncode,
+            stdout=completed.stdout,
+            stderr=completed.stderr,
+            command=cmd,
+        )
+    else:
+        # Streaming mode - output goes to console in real-time
+        # We use Popen to have more control over output handling
+        # Note: Output is captured by the task wrapper and prefixed appropriately.
+
+        proc = subprocess.Popen(
+            cmd,
+            cwd=cwd_str,
+            env=run_env,
+            stdout=subprocess.PIPE,
+            stderr=subprocess.PIPE,  # Keep stderr separate for different formatting
+            text=True,
+            bufsize=1,  # Line buffered
+        )
+
+        stdout_lines: list[str] = []
+        stderr_lines: list[str] = []
+
+        def print_line(line: str, is_stderr: bool = False) -> None:
+            """Print a line with appropriate formatting."""
+            if is_stderr:
+                print(line, file=sys.stderr, flush=True)
+            else:
+                print(line, flush=True)
+
+        # Stream output from both stdout and stderr
+        # Use select on Unix, fallback to sequential reading on Windows
+        if sys.platform != "win32" and proc.stdout and proc.stderr:
+            # Unix: use select for interleaved output
+            import selectors
+
+            sel = selectors.DefaultSelector()
+            sel.register(proc.stdout, selectors.EVENT_READ, ("stdout", stdout_lines))
+            sel.register(proc.stderr, selectors.EVENT_READ, ("stderr", stderr_lines))
+
+            while sel.get_map():
+                for key, _ in sel.select():
+                    stream_type, lines_list = key.data
+                    line = key.fileobj.readline()  # type: ignore[union-attr]
+                    if line:
+                        line_stripped = line.rstrip("\n")
+                        lines_list.append(line_stripped)
+                        print_line(line_stripped, is_stderr=(stream_type == "stderr"))
+                    else:
+                        sel.unregister(key.fileobj)
+
+            sel.close()
+        else:
+            # Windows or missing streams: read sequentially (stdout then stderr)
+            if proc.stdout:
+                for line in proc.stdout:
+                    line_stripped = line.rstrip("\n")
+                    stdout_lines.append(line_stripped)
+                    print_line(line_stripped, is_stderr=False)
+            if proc.stderr:
+                for line in proc.stderr:
+                    line_stripped = line.rstrip("\n")
+                    stderr_lines.append(line_stripped)
+                    print_line(line_stripped, is_stderr=True)
+
+        proc.wait()
+
+        result = RunResult(
+            returncode=proc.returncode,
+            stdout="\n".join(stdout_lines),
+            stderr="\n".join(stderr_lines),
+            command=cmd,
+        )
+
+    if check and result.failed:
+        raise SubprocessError(result)
+
+    return result
diff --git a/recompose/src/recompose/task.py b/recompose/src/recompose/task.py
new file mode 100644
index 000000000000..815223561156
--- /dev/null
+++ b/recompose/src/recompose/task.py
@@ -0,0 +1,304 @@
+"""Task decorator and registry for recompose."""
+
+from __future__ import annotations
+
+import functools
+import inspect
+import os
+import traceback
+from collections.abc import Callable
+from dataclasses import dataclass, field
+from typing import Any, ParamSpec, Protocol, TypeVar, overload
+
+from .context import Context, decrement_task_depth, get_context, increment_task_depth, set_context
+from .result import Err, Result
+
+P = ParamSpec("P")
+T = TypeVar("T")
+
+
+class TaskWrapper(Protocol[P, T]):
+    """
+    Protocol describing a task-decorated function.
+
+    Task wrappers are callable and return Result[T] when executed.
+    """
+
+    _task_info: TaskInfo
+
+    def __call__(self, *args: P.args, **kwargs: P.kwargs) -> Result[T]: ...
+
+
+@dataclass
+class TaskInfo:
+    """Metadata about a registered task."""
+
+    name: str
+    module: str
+    fn: Callable[..., Any]  # The wrapped function (with context/exception handling)
+    original_fn: Callable[..., Any]  # The original unwrapped function
+    signature: inspect.Signature
+    doc: str | None
+
+    # GHA action fields (for virtual tasks that map to `uses:` steps)
+    is_gha_action: bool = False  # True if this is a GHA virtual action
+    gha_uses: str | None = None  # The action to use, e.g., "actions/checkout@v4"
+
+    # P14 fields: outputs, artifacts, secrets, setup
+    outputs: list[str] = field(default_factory=list)  # Declared output names
+    artifacts: list[str] = field(default_factory=list)  # Declared artifact names
+    secrets: list[str] = field(default_factory=list)  # Declared secret names
+    setup: list[Any] | None = None  # Setup steps (overrides app-level defaults)
+
+    @property
+    def full_name(self) -> str:
+        """Full qualified name of the task."""
+        return f"{self.module}:{self.name}"
+
+
+def _is_method_signature(fn: Callable[..., Any]) -> bool:
+    """Check if a function signature indicates it's a method (first param is 'self')."""
+    sig = inspect.signature(fn)
+    params = list(sig.parameters.keys())
+    return len(params) > 0 and params[0] == "self"
+
+
+@overload
+def task(fn: Callable[P, Result[T]]) -> TaskWrapper[P, T]: ...
+
+
+@overload
+def task(
+    *,
+    outputs: list[str] | None = None,
+    artifacts: list[str] | None = None,
+    secrets: list[str] | None = None,
+    setup: list[Any] | None = None,
+) -> Callable[[Callable[P, Result[T]]], TaskWrapper[P, T]]: ...
+
+
+def task(
+    fn: Callable[P, Result[T]] | None = None,
+    *,
+    outputs: list[str] | None = None,
+    artifacts: list[str] | None = None,
+    secrets: list[str] | None = None,
+    setup: list[Any] | None = None,
+) -> TaskWrapper[P, T] | Callable[[Callable[P, Result[T]]], TaskWrapper[P, T]]:
+    """
+    Decorator to mark a function as a recompose task.
+
+    The decorated function:
+    - Gets automatic context management
+    - Has exceptions caught and converted to Err results
+
+    Note: Tasks are NOT automatically registered. To expose a task as a CLI
+    command, include it in the `commands` parameter to `recompose.main()`.
+
+    Args:
+        outputs: List of output names this task can set via set_output().
+        artifacts: List of artifact names this task can save via save_artifact().
+        secrets: List of secret names this task requires via get_secret().
+        setup: Setup steps for GHA (overrides app-level defaults).
+
+    Usage:
+        @task
+        def compile(*, source: Path) -> Result[Path]:
+            ...
+
+        @task(outputs=["wheel_path", "version"])
+        def build_wheel() -> Result[None]:
+            recompose.set_output("wheel_path", "/dist/pkg-1.0.0.whl")
+            recompose.set_output("version", "1.0.0")
+            return Ok(None)
+
+        @task(secrets=["PYPI_TOKEN"])
+        def publish() -> Result[None]:
+            token = recompose.get_secret("PYPI_TOKEN")
+            # ... use token
+            return Ok(None)
+
+        # Direct execution:
+        result = compile(source=Path("src/"))  # Returns Result[Path]
+
+    """
+
+    def decorator(fn: Callable[P, Result[T]]) -> TaskWrapper[P, T]:
+        # Check if this looks like a method - error as @task is for standalone functions
+        if _is_method_signature(fn):
+            raise TypeError(
+                f"@task cannot be used on methods (found 'self' parameter in {fn.__name__}). "
+                f"Define tasks as standalone functions instead."
+            )
+
+        @functools.wraps(fn)
+        def wrapper(*args: P.args, **kwargs: P.kwargs) -> Result[T]:
+            return _run_with_context(info, fn, args, kwargs)
+
+        # Create task info with the wrapper
+        info = TaskInfo(
+            name=fn.__name__,
+            module=fn.__module__,
+            fn=wrapper,  # Store the wrapper
+            original_fn=fn,  # Keep reference to original
+            signature=inspect.signature(fn),
+            doc=fn.__doc__,
+            outputs=outputs or [],
+            artifacts=artifacts or [],
+            secrets=secrets or [],
+            setup=setup,
+        )
+
+        # Attach task info to wrapper for introspection
+        wrapper._task_info = info  # type: ignore[attr-defined]
+
+        # Cast to TaskWrapper to satisfy type checker
+        from typing import cast
+
+        return cast(TaskWrapper[P, T], wrapper)
+
+    # Handle both @task and @task(...) forms
+    if fn is not None:
+        return decorator(fn)
+    return decorator
+
+
+def _execute_task(fn: Callable[..., Any], args: tuple[Any, ...], kwargs: dict[str, Any]) -> Result[Any]:
+    """Execute a task function, catching exceptions."""
+    try:
+        result = fn(*args, **kwargs)
+
+        # Ensure the result is a Result type
+        if not isinstance(result, Result):
+            # If the function didn't return a Result, wrap it
+            from .result import Ok
+
+            return Ok(result)
+
+        return result
+
+    except Exception as e:
+        # Catch any exception and convert to Err
+        tb = traceback.format_exc()
+        return Err(f"{type(e).__name__}: {e}", traceback=tb)
+
+
+def _run_with_context(
+    task_info: TaskInfo, fn: Callable[..., Any], args: tuple[Any, ...], kwargs: dict[str, Any]
+) -> Result[Any]:
+    """
+    Execute task with context management and tree-style output.
+
+    Uses recursive capture-and-prefix model:
+    1. Print task name (with marker if nested, plain if top-level)
+    2. Capture ALL body output
+    3. Prefix captured output appropriately
+    4. Print status
+
+    In GitHub Actions, first-level subtasks emit ::group:: / ::endgroup:: markers.
+    """
+    import io
+    import sys
+    import time
+
+    from rich.console import Console
+
+    from .output import COLORS, SUBTASK_MARKER, SYMBOLS, prefix_task_output, print_task_output_styled
+
+    existing_ctx = get_context()
+    task_name = task_info.name
+    start_time = time.perf_counter()
+    # force_terminal=True ensures ANSI codes are output even when captured
+    console = Console(force_terminal=True)
+
+    # Track nesting depth (depth after increment: 1=top-level, 2=first subtask, etc.)
+    depth = increment_task_depth()
+    is_gha = os.environ.get("GITHUB_ACTIONS") == "true"
+    is_subprocess = os.environ.get("RECOMPOSE_SUBPROCESS") == "1"
+    is_nested = existing_ctx is not None or is_subprocess
+    # Emit GHA groups for first-level subtasks only (depth == 2 after increment)
+    emit_gha_group = is_gha and depth == 2 and is_nested
+
+    # 1. Print task name (with marker if nested/subprocess, plain if bare top-level)
+    if is_nested:
+        # Nested task or subprocess - print with marker for parent to recognize
+        # Marker is plain text so prefix_task_output can detect it
+        print(f"{SUBTASK_MARKER}{task_name}", flush=True)
+        # In GHA, emit group marker for first-level subtasks
+        if emit_gha_group:
+            print(f"::group::{task_name}", flush=True)
+    else:
+        # Bare top-level task - print name in name style
+        console.print(task_name, style=COLORS["name"], markup=False, highlight=False)
+
+    # Set up context
+    ctx = Context(
+        task_name=task_name,
+        declared_outputs=task_info.outputs,
+        declared_artifacts=task_info.artifacts,
+        declared_secrets=task_info.secrets,
+    )
+
+    # Only set context if not already in one (avoid overwriting parent context)
+    should_set_context = existing_ctx is None
+    if should_set_context:
+        set_context(ctx)
+
+    try:
+        # 2. Capture ALL body output
+        buffer = io.StringIO()
+        old_stdout = sys.stdout
+        old_stderr = sys.stderr
+        sys.stdout = buffer
+        sys.stderr = buffer
+
+        try:
+            result = _execute_task(fn, args, kwargs)
+        finally:
+            sys.stdout = old_stdout
+            sys.stderr = old_stderr
+
+        captured_output = buffer.getvalue()
+
+        # 3. Prefix and print captured output with styled tree prefixes
+        # Content may already have ANSI colors which pass through
+        if captured_output:
+            prefixed = prefix_task_output(captured_output)
+            print_task_output_styled(prefixed, console)
+
+        # Print error details if failed
+        if not result.ok and result.error:
+            error_lines = str(result.error).split("\n")[:5]
+            prefixed_error = prefix_task_output("\n".join(error_lines))
+            print_task_output_styled(prefixed_error, console)
+
+        # 4. Print status (always styled - ANSI passes through when captured)
+        elapsed = time.perf_counter() - start_time
+        symbol = SYMBOLS["success"] if result.ok else SYMBOLS["failure"]
+        status = "succeeded" if result.ok else "failed"
+        style = COLORS["success_bold"] if result.ok else COLORS["failure_bold"]
+        msg = f"{symbol} {task_name} {status} in {elapsed:.2f}s"
+        console.print(msg, style=style, markup=False, highlight=False)
+
+        # Close GHA group for first-level subtasks
+        if emit_gha_group:
+            print("::endgroup::", flush=True)
+
+        # Attach collected outputs/artifacts to the result
+        if result.ok and should_set_context:
+            result = _attach_context_to_result(result, ctx)
+
+        return result
+    finally:
+        decrement_task_depth()
+        if should_set_context:
+            set_context(None)
+
+
+def _attach_context_to_result(result: Result[Any], ctx: Context) -> Result[Any]:
+    """Attach outputs and artifacts from context to the result."""
+    if ctx.task_outputs or ctx.task_artifacts:
+        # Create a new result with outputs/artifacts attached
+        object.__setattr__(result, "_outputs", ctx.task_outputs.copy())
+        object.__setattr__(result, "_artifacts", ctx.task_artifacts.copy())
+    return result
diff --git a/recompose/tests/__init__.py b/recompose/tests/__init__.py
new file mode 100644
index 000000000000..e69de29bb2d1
diff --git a/recompose/tests/conftest.py b/recompose/tests/conftest.py
new file mode 100644
index 000000000000..ca5b213d902f
--- /dev/null
+++ b/recompose/tests/conftest.py
@@ -0,0 +1,39 @@
+"""Pytest configuration for recompose tests."""
+
+import pytest
+
+
+@pytest.fixture(autouse=True)
+def reset_state(monkeypatch: pytest.MonkeyPatch):
+    """Reset all state between tests and disable colors for CLI invocations."""
+    from recompose.cli import _reset_console
+    from recompose.context import set_automation_context, set_context, set_recompose_context
+    from recompose.output import reset_output_manager
+
+    # Disable colors for any CLI/subprocess invocations within tests
+    # Must unset FORCE_COLOR because Rich ignores NO_COLOR when FORCE_COLOR is set
+    monkeypatch.delenv("FORCE_COLOR", raising=False)
+    monkeypatch.setenv("NO_COLOR", "1")
+
+    # Unset GITHUB_OUTPUT so test tasks don't pollute real job outputs
+    # (LocalExecutor sets this for capturing outputs, but pytest inherits it)
+    monkeypatch.delenv("GITHUB_OUTPUT", raising=False)
+
+    # Unset GITHUB_ACTIONS so step output uses local format ([Step]) not GHA format (::group::)
+    monkeypatch.delenv("GITHUB_ACTIONS", raising=False)
+
+    # Reset all context state and consoles so they pick up new env vars
+    set_context(None)
+    set_automation_context(None)
+    set_recompose_context(None)
+    reset_output_manager()
+    _reset_console()
+
+    yield
+
+    # Clean up after test
+    set_context(None)
+    set_automation_context(None)
+    set_recompose_context(None)
+    reset_output_manager()
+    _reset_console()
diff --git a/recompose/tests/test_cli.py b/recompose/tests/test_cli.py
new file mode 100644
index 000000000000..da8abfccd098
--- /dev/null
+++ b/recompose/tests/test_cli.py
@@ -0,0 +1,298 @@
+"""Tests for the CLI module."""
+
+import click
+from click.testing import CliRunner
+
+import recompose
+from recompose.cli import _build_command
+
+
+def test_build_command_basic():
+    @recompose.task
+    def simple_task() -> recompose.Result[str]:
+        """A simple task."""
+        return recompose.Ok("done")
+
+    info = simple_task._task_info
+    cmd = _build_command(info)
+
+    # Command name should be kebab-case
+    assert cmd.name == "simple-task"
+    assert cmd.help is not None
+    assert "A simple task." in cmd.help
+
+
+def test_build_command_with_args():
+    @recompose.task
+    def task_with_args(*, name: str, count: int = 1) -> recompose.Result[str]:
+        """Task with arguments."""
+        return recompose.Ok(f"{name} x {count}")
+
+    info = task_with_args._task_info
+    cmd = _build_command(info)
+
+    param_names = [p.name for p in cmd.params]
+    assert "name" in param_names
+    assert "count" in param_names
+
+
+def test_cli_help():
+    @recompose.task
+    def help_test_task() -> recompose.Result[str]:
+        """Help test task."""
+        return recompose.Ok("done")
+
+    runner = CliRunner()
+
+    @click.group()
+    def cli():
+        pass
+
+    cli.add_command(_build_command(help_test_task._task_info))
+
+    result = runner.invoke(cli, ["--help"])
+    assert result.exit_code == 0
+    # Command name should be kebab-case in help
+    assert "help-test-task" in result.output
+
+
+def test_cli_task_help():
+    @recompose.task
+    def task_help_test(*, name: str, value: int = 42) -> recompose.Result[str]:
+        """Task for testing help."""
+        return recompose.Ok(f"{name}={value}")
+
+    runner = CliRunner()
+
+    @click.group()
+    def cli():
+        pass
+
+    cli.add_command(_build_command(task_help_test._task_info))
+
+    # Use kebab-case command name
+    result = runner.invoke(cli, ["task-help-test", "--help"])
+    assert result.exit_code == 0
+    assert "--name" in result.output
+    assert "--value" in result.output
+    assert "Task for testing help" in result.output
+
+
+def test_cli_runs_task():
+    @recompose.task
+    def runnable_task(*, x: int, y: int) -> recompose.Result[int]:
+        """Add two numbers."""
+        return recompose.Ok(x + y)
+
+    runner = CliRunner()
+
+    @click.group()
+    def cli():
+        pass
+
+    cli.add_command(_build_command(runnable_task._task_info))
+
+    # Use kebab-case command name
+    result = runner.invoke(cli, ["runnable-task", "--x=5", "--y=3"])
+    assert result.exit_code == 0
+    assert "succeeded" in result.output
+    assert "8" in result.output
+
+
+def test_cli_handles_failure():
+    @recompose.task
+    def failing_cli_task() -> recompose.Result[str]:
+        """A task that fails."""
+        raise ValueError("intentional error")
+
+    runner = CliRunner()
+
+    @click.group()
+    def cli():
+        pass
+
+    cli.add_command(_build_command(failing_cli_task._task_info))
+
+    # Use kebab-case command name
+    result = runner.invoke(cli, ["failing-cli-task"])
+    assert "failed" in result.output
+    assert "ValueError: intentional error" in result.output
+
+
+def test_cli_required_argument():
+    @recompose.task
+    def required_arg_task(*, required_param: str) -> recompose.Result[str]:
+        """Task with required argument."""
+        return recompose.Ok(required_param)
+
+    runner = CliRunner()
+
+    @click.group()
+    def cli():
+        pass
+
+    cli.add_command(_build_command(required_arg_task._task_info))
+
+    # Should fail without required argument (use kebab-case command name)
+    result = runner.invoke(cli, ["required-arg-task"])
+    assert result.exit_code != 0
+    assert "required" in result.output.lower()
+
+
+def test_cli_optional_argument():
+    @recompose.task
+    def optional_arg_task(*, param: str = "default") -> recompose.Result[str]:
+        """Task with optional argument."""
+        return recompose.Ok(param)
+
+    runner = CliRunner()
+
+    @click.group()
+    def cli():
+        pass
+
+    cli.add_command(_build_command(optional_arg_task._task_info))
+
+    # Should work without the optional argument (use kebab-case command name)
+    result = runner.invoke(cli, ["optional-arg-task"])
+    assert result.exit_code == 0
+    assert "default" in result.output
+
+
+def test_cli_bool_argument():
+    @recompose.task
+    def bool_task(*, flag: bool = False) -> recompose.Result[str]:
+        """Task with bool flag."""
+        return recompose.Ok(f"flag={flag}")
+
+    runner = CliRunner()
+
+    @click.group()
+    def cli():
+        pass
+
+    cli.add_command(_build_command(bool_task._task_info))
+
+    # Test with --flag (use kebab-case command name)
+    result = runner.invoke(cli, ["bool-task", "--flag"])
+    assert result.exit_code == 0
+    assert "flag=True" in result.output
+
+    # Test with --no-flag
+    result = runner.invoke(cli, ["bool-task", "--no-flag"])
+    assert result.exit_code == 0
+    assert "flag=False" in result.output
+
+
+def test_cli_float_argument():
+    @recompose.task
+    def float_task(*, value: float) -> recompose.Result[float]:
+        """Task with float argument."""
+        return recompose.Ok(value * 2)
+
+    runner = CliRunner()
+
+    @click.group()
+    def cli():
+        pass
+
+    cli.add_command(_build_command(float_task._task_info))
+
+    # Use kebab-case command name
+    result = runner.invoke(cli, ["float-task", "--value=3.14"])
+    assert result.exit_code == 0
+    assert "6.28" in result.output
+
+
+def test_cli_kebab_case_arguments():
+    """Test that parameter names with underscores become kebab-case CLI options."""
+
+    @recompose.task
+    def kebab_task(*, my_long_param: str, another_value: int = 42) -> recompose.Result[str]:
+        """Task with underscore params."""
+        return recompose.Ok(f"{my_long_param}={another_value}")
+
+    runner = CliRunner()
+
+    @click.group()
+    def cli():
+        pass
+
+    cli.add_command(_build_command(kebab_task._task_info))
+
+    # Help should show kebab-case options (use kebab-case command name)
+    result = runner.invoke(cli, ["kebab-task", "--help"])
+    assert result.exit_code == 0
+    assert "--my-long-param" in result.output
+    assert "--another-value" in result.output
+    # Should NOT have underscore versions
+    assert "--my_long_param" not in result.output
+    assert "--another_value" not in result.output
+
+    # Should work with kebab-case arguments
+    result = runner.invoke(cli, ["kebab-task", "--my-long-param=hello", "--another-value=99"])
+    assert result.exit_code == 0
+    assert "hello=99" in result.output
+
+
+def test_cli_kebab_case_bool_flags():
+    """Test that bool flags with underscores become kebab-case CLI options."""
+
+    @recompose.task
+    def kebab_bool_task(*, full_tests: bool = False) -> recompose.Result[str]:
+        """Task with underscore bool param."""
+        return recompose.Ok(f"full_tests={full_tests}")
+
+    runner = CliRunner()
+
+    @click.group()
+    def cli():
+        pass
+
+    cli.add_command(_build_command(kebab_bool_task._task_info))
+
+    # Help should show kebab-case options (use kebab-case command name)
+    result = runner.invoke(cli, ["kebab-bool-task", "--help"])
+    assert result.exit_code == 0
+    assert "--full-tests" in result.output
+    assert "--no-full-tests" in result.output
+    # Should NOT have underscore versions
+    assert "--full_tests" not in result.output
+    assert "--no-full_tests" not in result.output
+
+    # Should work with kebab-case flags
+    result = runner.invoke(cli, ["kebab-bool-task", "--full-tests"])
+    assert result.exit_code == 0
+    assert "full_tests=True" in result.output
+
+    result = runner.invoke(cli, ["kebab-bool-task", "--no-full-tests"])
+    assert result.exit_code == 0
+    assert "full_tests=False" in result.output
+
+
+def test_cli_kebab_case_command_names():
+    """Test that command names with underscores become kebab-case."""
+
+    @recompose.task
+    def my_long_task_name() -> recompose.Result[str]:
+        """Task with underscore name."""
+        return recompose.Ok("done")
+
+    runner = CliRunner()
+
+    @click.group()
+    def cli():
+        pass
+
+    cli.add_command(_build_command(my_long_task_name._task_info))
+
+    # Help should show kebab-case command name
+    result = runner.invoke(cli, ["--help"])
+    assert result.exit_code == 0
+    assert "my-long-task-name" in result.output
+    assert "my_long_task_name" not in result.output
+
+    # Command should work with kebab-case name
+    result = runner.invoke(cli, ["my-long-task-name"])
+    assert result.exit_code == 0
+    assert "succeeded" in result.output
diff --git a/recompose/tests/test_context.py b/recompose/tests/test_context.py
new file mode 100644
index 000000000000..5beb51449c6a
--- /dev/null
+++ b/recompose/tests/test_context.py
@@ -0,0 +1,66 @@
+"""Tests for the context and output helpers."""
+
+from recompose import Ok, Result, dbg, get_context, is_debug, out, set_debug, task
+
+
+def test_out_works_outside_task(capsys):
+    out("Hello from outside")
+    captured = capsys.readouterr()
+    assert "Hello from outside" in captured.out
+
+
+def test_dbg_silent_by_default(capsys):
+    set_debug(False)
+    dbg("Debug message")
+    captured = capsys.readouterr()
+    assert "Debug message" not in captured.out
+
+
+def test_dbg_prints_when_enabled(capsys):
+    set_debug(True)
+    dbg("Debug message")
+    captured = capsys.readouterr()
+    assert "Debug message" in captured.out
+    set_debug(False)  # Reset
+
+
+def test_context_exists_inside_task():
+    ctx_inside = None
+
+    @task
+    def context_task() -> Result[str]:
+        nonlocal ctx_inside
+        ctx_inside = get_context()
+        return Ok("done")
+
+    context_task()
+    assert ctx_inside is not None
+    assert ctx_inside.task_name == "context_task"
+
+
+def test_context_none_outside_task():
+    assert get_context() is None
+
+
+def test_output_captured_in_context():
+    @task
+    def capturing_task() -> Result[str]:
+        out("Line 1")
+        out("Line 2")
+        dbg("Debug line")
+        ctx = get_context()
+        assert ctx is not None
+        return Ok(str(len(ctx.output)))
+
+    result = capturing_task()
+    assert result.ok
+    # 2 out lines + 1 dbg line = 3 total
+    assert result.value() == "3"
+
+
+def test_is_debug():
+    set_debug(False)
+    assert is_debug() is False
+    set_debug(True)
+    assert is_debug() is True
+    set_debug(False)  # Reset
diff --git a/recompose/tests/test_gh_cli.py b/recompose/tests/test_gh_cli.py
new file mode 100644
index 000000000000..a7d6f4fd8429
--- /dev/null
+++ b/recompose/tests/test_gh_cli.py
@@ -0,0 +1,201 @@
+"""Tests for GitHub CLI integration."""
+
+from pathlib import Path
+from unittest.mock import MagicMock, patch
+
+from recompose import gh_cli
+
+
+class TestFlowWorkflowMapping:
+    """Tests for flow name <-> workflow name conversion."""
+
+    def test_flow_to_workflow_name(self) -> None:
+        """flow_to_workflow_name creates correct filename."""
+        assert gh_cli.flow_to_workflow_name("ci") == "recompose_flow_ci.yml"
+        assert gh_cli.flow_to_workflow_name("build_test") == "recompose_flow_build_test.yml"
+
+    def test_workflow_to_flow_name(self) -> None:
+        """workflow_to_flow_name extracts flow name correctly."""
+        assert gh_cli.workflow_to_flow_name("recompose_flow_ci.yml") == "ci"
+        assert gh_cli.workflow_to_flow_name("recompose_flow_build_test.yml") == "build_test"
+
+    def test_workflow_to_flow_name_non_recompose(self) -> None:
+        """workflow_to_flow_name returns None for non-recompose workflows."""
+        assert gh_cli.workflow_to_flow_name("ci.yml") is None
+        assert gh_cli.workflow_to_flow_name("build.yaml") is None
+
+
+class TestWorkflowRun:
+    """Tests for WorkflowRun dataclass."""
+
+    def test_display_status_completed_success(self) -> None:
+        """display_status shows conclusion for completed runs."""
+        run = gh_cli.WorkflowRun(
+            id=123,
+            name="CI",
+            status="completed",
+            conclusion="success",
+            head_branch="main",
+            head_sha="abc123",
+            url="https://gh_cli.com/example/repo/actions/runs/123",
+            created_at="2025-01-01T00:00:00Z",
+            updated_at="2025-01-01T00:00:00Z",
+        )
+        assert run.display_status == "success"
+
+    def test_display_status_completed_failure(self) -> None:
+        """display_status shows conclusion for failed runs."""
+        run = gh_cli.WorkflowRun(
+            id=123,
+            name="CI",
+            status="completed",
+            conclusion="failure",
+            head_branch="main",
+            head_sha="abc123",
+            url="https://gh_cli.com/example/repo/actions/runs/123",
+            created_at="2025-01-01T00:00:00Z",
+            updated_at="2025-01-01T00:00:00Z",
+        )
+        assert run.display_status == "failure"
+
+    def test_display_status_in_progress(self) -> None:
+        """display_status shows status for non-completed runs."""
+        run = gh_cli.WorkflowRun(
+            id=123,
+            name="CI",
+            status="in_progress",
+            conclusion=None,
+            head_branch="main",
+            head_sha="abc123",
+            url="https://gh_cli.com/example/repo/actions/runs/123",
+            created_at="2025-01-01T00:00:00Z",
+            updated_at="2025-01-01T00:00:00Z",
+        )
+        assert run.display_status == "in_progress"
+
+
+class TestGitHelpers:
+    """Tests for git helper functions."""
+
+    def test_find_git_root_in_repo(self) -> None:
+        """find_git_root returns path in a git repo."""
+        # We're in a git repo, so this should work
+        result = gh_cli.find_git_root()
+        assert result is not None
+        assert (result / ".git").exists()
+
+    def test_get_current_branch(self) -> None:
+        """get_current_branch returns current branch name."""
+        result = gh_cli.get_current_branch()
+        assert result.ok
+        # We know we're on a branch
+        assert len(result.value()) > 0
+
+
+class TestGhCliWrapper:
+    """Tests for _run_gh function (mocked)."""
+
+    @patch("recompose.gh_cli.subprocess.run")
+    def test_run_gh_success(self, mock_run: MagicMock) -> None:
+        """_run_gh returns output on success."""
+        mock_run.return_value = MagicMock(
+            returncode=0,
+            stdout="success output\n",
+            stderr="",
+        )
+
+        result = gh_cli._run_gh("test", "command")
+        assert result.ok
+        assert result.value() == "success output"
+
+    @patch("recompose.gh_cli.subprocess.run")
+    def test_run_gh_failure(self, mock_run: MagicMock) -> None:
+        """_run_gh returns error on failure."""
+        mock_run.return_value = MagicMock(
+            returncode=1,
+            stdout="",
+            stderr="error message",
+        )
+
+        result = gh_cli._run_gh("test", "command")
+        assert result.failed
+        assert "error message" in str(result.error)
+
+    @patch("recompose.gh_cli.subprocess.run")
+    def test_run_gh_not_found(self, mock_run: MagicMock) -> None:
+        """_run_gh returns helpful error when gh not found."""
+        mock_run.side_effect = FileNotFoundError()
+
+        result = gh_cli._run_gh("test", "command")
+        assert result.failed
+        assert "not found" in str(result.error).lower()
+
+    @patch("recompose.gh_cli.subprocess.run")
+    def test_run_gh_json_parsing(self, mock_run: MagicMock) -> None:
+        """_run_gh can parse JSON output."""
+        mock_run.return_value = MagicMock(
+            returncode=0,
+            stdout='{"key": "value"}',
+            stderr="",
+        )
+
+        result = gh_cli._run_gh("test", capture_json=True)
+        assert result.ok
+        assert result.value() == {"key": "value"}
+
+
+class TestValidateWorkflowSync:
+    """Tests for workflow sync validation."""
+
+    def test_validate_sync_local_missing(self, tmp_path: Path) -> None:
+        """validate_workflow_sync fails if local file missing."""
+        result = gh_cli.validate_workflow_sync(
+            tmp_path / "nonexistent.yml",
+            ".github/workflows/nonexistent.yml",
+        )
+        assert result.failed
+        assert "not found" in str(result.error).lower()
+
+    @patch("recompose.gh_cli.get_workflow_file_content")
+    def test_validate_sync_remote_missing(self, mock_get: MagicMock, tmp_path: Path) -> None:
+        """validate_workflow_sync fails if remote file missing."""
+        # Create local file
+        local_file = tmp_path / "test.yml"
+        local_file.write_text("name: Test\n")
+
+        # Mock remote not found
+        mock_get.return_value = gh_cli.Err("Not found")
+
+        result = gh_cli.validate_workflow_sync(local_file, ".github/workflows/test.yml")
+        assert result.failed
+        assert "not found" in str(result.error).lower()
+
+    @patch("recompose.gh_cli.get_workflow_file_content")
+    def test_validate_sync_files_match(self, mock_get: MagicMock, tmp_path: Path) -> None:
+        """validate_workflow_sync succeeds when files match."""
+        content = "name: Test\non: push\n"
+
+        # Create local file
+        local_file = tmp_path / "test.yml"
+        local_file.write_text(content)
+
+        # Mock remote with same content
+        mock_get.return_value = gh_cli.Ok(content)
+
+        result = gh_cli.validate_workflow_sync(local_file, ".github/workflows/test.yml")
+        assert result.ok
+        assert result.value() is True
+
+    @patch("recompose.gh_cli.get_workflow_file_content")
+    def test_validate_sync_files_differ(self, mock_get: MagicMock, tmp_path: Path) -> None:
+        """validate_workflow_sync fails when files differ."""
+        # Create local file
+        local_file = tmp_path / "test.yml"
+        local_file.write_text("name: Test\non: push\n")
+
+        # Mock remote with different content
+        mock_get.return_value = gh_cli.Ok("name: Test\non: pull_request\n")
+
+        result = gh_cli.validate_workflow_sync(local_file, ".github/workflows/test.yml")
+        assert result.failed
+        assert "out of sync" in str(result.error).lower()
diff --git a/recompose/tests/test_gha.py b/recompose/tests/test_gha.py
new file mode 100644
index 000000000000..71630d5c3c4c
--- /dev/null
+++ b/recompose/tests/test_gha.py
@@ -0,0 +1,1074 @@
+"""Tests for GitHub Actions workflow generation."""
+
+import shutil
+
+import pytest
+from ruamel.yaml import YAML
+
+import recompose
+from recompose import (
+    Artifact,
+    AutomationWrapper,
+    BoolInput,
+    ChoiceInput,
+    InputParam,
+    StringInput,
+    automation,
+    github,
+    job,
+    make_dispatchable,
+    on_pull_request,
+    on_push,
+)
+from recompose.gha import (
+    GHAJobSpec,
+    JobSpec,
+    SetupStep,
+    StepSpec,
+    WorkflowDispatchInput,
+    WorkflowSpec,
+    render_automation_jobs,
+    validate_workflow,
+)
+
+
+# Test fixtures - simple tasks for testing
+@recompose.task
+def simple_task() -> recompose.Result[str]:
+    """A simple task with no parameters."""
+    return recompose.Ok("done")
+
+
+@recompose.task
+def param_task(*, name: str, count: int = 5) -> recompose.Result[str]:
+    """A task with parameters."""
+    return recompose.Ok(f"{name}: {count}")
+
+
+class TestStepSpec:
+    """Tests for StepSpec."""
+
+    def test_run_step(self) -> None:
+        """Test a step with a run command."""
+        step = StepSpec(name="Build", run="cargo build")
+        d = step.to_dict()
+        assert d["name"] == "Build"
+        assert d["run"] == "cargo build"
+        assert "uses" not in d
+
+    def test_uses_step(self) -> None:
+        """Test a step with uses action."""
+        step = StepSpec(name="Checkout", uses="actions/checkout@v4")
+        d = step.to_dict()
+        assert d["name"] == "Checkout"
+        assert d["uses"] == "actions/checkout@v4"
+        assert "run" not in d
+
+    def test_uses_with_inputs(self) -> None:
+        """Test a uses step with inputs."""
+        step = StepSpec(
+            name="Setup Python",
+            uses="actions/setup-python@v5",
+            with_={"python-version": "3.11"},
+        )
+        d = step.to_dict()
+        assert d["with"]["python-version"] == "3.11"
+
+    def test_step_with_env(self) -> None:
+        """Test a step with environment variables."""
+        step = StepSpec(name="Test", run="pytest", env={"CI": "true"})
+        d = step.to_dict()
+        assert d["env"]["CI"] == "true"
+
+
+class TestJobSpec:
+    """Tests for JobSpec."""
+
+    def test_basic_job(self) -> None:
+        """Test a basic job."""
+        job = JobSpec(
+            name="build",
+            runs_on="ubuntu-latest",
+            steps=[StepSpec(name="Checkout", uses="actions/checkout@v4")],
+        )
+        d = job.to_dict()
+        assert d["runs-on"] == "ubuntu-latest"
+        assert len(d["steps"]) == 1
+        assert d["steps"][0]["name"] == "Checkout"
+
+    def test_job_with_env(self) -> None:
+        """Test a job with environment variables."""
+        job = JobSpec(
+            name="build",
+            runs_on="ubuntu-latest",
+            steps=[],
+            env={"RUST_LOG": "debug"},
+        )
+        d = job.to_dict()
+        assert d["env"]["RUST_LOG"] == "debug"
+
+    def test_job_with_timeout(self) -> None:
+        """Test a job with timeout."""
+        job = JobSpec(
+            name="build",
+            runs_on="ubuntu-latest",
+            steps=[],
+            timeout_minutes=30,
+        )
+        d = job.to_dict()
+        assert d["timeout-minutes"] == 30
+
+
+class TestWorkflowDispatchInput:
+    """Tests for WorkflowDispatchInput."""
+
+    def test_required_input(self) -> None:
+        """Test a required input."""
+        inp = WorkflowDispatchInput(
+            name="repo",
+            description="Repository name",
+            required=True,
+            type="string",
+        )
+        d = inp.to_dict()
+        assert d["required"] is True
+        assert d["type"] == "string"
+        assert "default" not in d
+
+    def test_optional_input_with_default(self) -> None:
+        """Test an optional input with default."""
+        inp = WorkflowDispatchInput(
+            name="branch",
+            description="Branch name",
+            required=False,
+            default="main",
+            type="string",
+        )
+        d = inp.to_dict()
+        assert d["required"] is False
+        assert d["default"] == "main"
+
+    def test_boolean_input(self) -> None:
+        """Test a boolean input."""
+        inp = WorkflowDispatchInput(
+            name="debug",
+            description="Enable debug mode",
+            required=False,
+            default="false",
+            type="boolean",
+        )
+        d = inp.to_dict()
+        assert d["type"] == "boolean"
+
+
+class TestWorkflowSpec:
+    """Tests for WorkflowSpec."""
+
+    def test_to_dict(self) -> None:
+        """Test converting workflow to dict."""
+        workflow = WorkflowSpec(
+            name="CI",
+            on={"push": {"branches": ["main"]}},
+            jobs={
+                "build": JobSpec(
+                    name="build",
+                    steps=[StepSpec(name="Checkout", uses="actions/checkout@v4")],
+                )
+            },
+        )
+        d = workflow.to_dict()
+        assert d["name"] == "CI"
+        assert d["on"]["push"]["branches"] == ["main"]
+        assert "build" in d["jobs"]
+
+    def test_to_yaml(self) -> None:
+        """Test rendering to YAML."""
+        workflow = WorkflowSpec(
+            name="CI",
+            on={"workflow_dispatch": {}},
+            jobs={
+                "test": JobSpec(
+                    name="test",
+                    steps=[StepSpec(name="Run tests", run="pytest")],
+                )
+            },
+        )
+        yaml_str = workflow.to_yaml()
+
+        # Parse it back to verify it's valid YAML
+        yaml = YAML()
+        parsed = yaml.load(yaml_str)
+        assert parsed["name"] == "CI"
+        assert "workflow_dispatch" in parsed["on"]
+
+
+class TestGHAActions:
+    """Tests for GHA virtual actions."""
+
+    def test_checkout_action_direct_call(self) -> None:
+        """Test calling checkout directly (no-op)."""
+        from recompose.gha import checkout
+
+        result = checkout()
+        assert result.ok
+        assert result.value() is None
+
+    def test_setup_python_creates_action(self) -> None:
+        """Test setup_python creates an action with version."""
+        from recompose.gha import setup_python
+
+        action = setup_python(version="3.12")
+        assert action.uses == "actions/setup-python@v5"
+        assert action.default_with_params["python-version"] == "3.12"
+
+    def test_setup_uv_creates_action(self) -> None:
+        """Test setup_uv creates an action."""
+        from recompose.gha import setup_uv
+
+        action = setup_uv()
+        assert action.uses == "astral-sh/setup-uv@v4"
+
+    def test_setup_rust_creates_action(self) -> None:
+        """Test setup_rust creates an action with toolchain."""
+        from recompose.gha import setup_rust
+
+        action = setup_rust(toolchain="nightly")
+        assert action.uses == "dtolnay/rust-toolchain@master"
+        assert action.default_with_params["toolchain"] == "nightly"
+
+    def test_cache_creates_action(self) -> None:
+        """Test cache creates an action with path and key."""
+        from recompose.gha import cache
+
+        action = cache(path="~/.cache", key="cache-key-${{ hashFiles('**/lockfile') }}")
+        assert action.uses == "actions/cache@v4"
+        assert action.default_with_params["path"] == "~/.cache"
+        assert "cache-key" in action.default_with_params["key"]
+
+
+class TestValidateWorkflow:
+    """Tests for actionlint validation."""
+
+    def test_validation_when_actionlint_missing(self) -> None:
+        """Test graceful handling when actionlint is not installed."""
+        # This test works regardless of whether actionlint is installed
+        # because we're testing the function's behavior
+        yaml_content = "name: test\non: push\njobs: {}"
+        success, message = validate_workflow(yaml_content)
+
+        if shutil.which("actionlint") is None:
+            assert not success
+            assert "not found" in message
+        else:
+            # If actionlint is installed, it will actually validate
+            # The empty jobs dict should cause an error
+            pass  # Result depends on actionlint behavior
+
+    @pytest.mark.skipif(
+        shutil.which("actionlint") is None,
+        reason="actionlint not installed",
+    )
+    def test_invalid_workflow_fails(self) -> None:
+        """Test that an invalid workflow fails validation."""
+        invalid_yaml = """
+name: test
+on: push
+jobs:
+  test:
+    runs-on: ubuntu-latest
+    steps:
+      - run: echo ${{ secrets.UNKNOWN_SYNTAX[0] }}
+"""
+        success, message = validate_workflow(invalid_yaml)
+        # actionlint should catch the invalid expression
+        assert not success or "error" in message.lower() or len(message) > 0
+
+
+# =============================================================================
+# P14: Tests for render_automation_jobs (multi-job workflow generation)
+# =============================================================================
+
+
+# Test tasks for automation tests
+@recompose.task
+def lint_task() -> recompose.Result[None]:
+    """Lint the code."""
+    return recompose.Ok(None)
+
+
+@recompose.task
+def format_task() -> recompose.Result[None]:
+    """Check formatting."""
+    return recompose.Ok(None)
+
+
+@recompose.task
+def run_tests_task() -> recompose.Result[None]:
+    """Run tests."""
+    return recompose.Ok(None)
+
+
+@recompose.task(outputs=["wheel_path", "version"])
+def build_wheel_task() -> recompose.Result[None]:
+    """Build a wheel and output path."""
+    recompose.set_output("wheel_path", "/dist/pkg-1.0.0.whl")
+    recompose.set_output("version", "1.0.0")
+    return recompose.Ok(None)
+
+
+@recompose.task(artifacts=["wheel"])
+def build_artifact_task() -> recompose.Result[None]:
+    """Build and save a wheel artifact."""
+    return recompose.Ok(None)
+
+
+@recompose.task
+def wheel_test_task(*, wheel_path: str) -> recompose.Result[None]:
+    """Test with a wheel path input."""
+    return recompose.Ok(None)
+
+
+@recompose.task
+def artifact_test_task(*, wheel: Artifact) -> recompose.Result[None]:
+    """Test using an artifact input."""
+    return recompose.Ok(None)
+
+
+@recompose.task(secrets=["PYPI_TOKEN", "AWS_KEY"])
+def publish_task() -> recompose.Result[None]:
+    """Publish (requires secrets)."""
+    return recompose.Ok(None)
+
+
+class TestRenderAutomationJobs:
+    """Tests for render_automation_jobs function."""
+
+    def test_simple_automation(self) -> None:
+        """Test rendering a simple automation with one job."""
+
+        @automation
+        def simple() -> None:
+            job(lint_task)
+
+        spec = render_automation_jobs(simple)
+
+        assert spec.name == "simple"
+        assert "lint_task" in spec.jobs
+        assert len(spec.jobs) == 1
+
+        lint_job = spec.jobs["lint_task"]
+        assert lint_job.runs_on == "ubuntu-latest"
+        assert len(lint_job.steps) == 4  # 3 setup + 1 run
+
+    def test_automation_with_trigger(self) -> None:
+        """Test automation with trigger generates correct 'on:' config."""
+
+        @automation(trigger=on_push(branches=["main"]))
+        def ci() -> None:
+            job(lint_task)
+
+        spec = render_automation_jobs(ci)
+
+        assert "push" in spec.on
+        assert spec.on["push"]["branches"] == ["main"]
+
+    def test_automation_combined_triggers(self) -> None:
+        """Test automation with combined triggers."""
+
+        @automation(trigger=on_push(branches=["main"]) | on_pull_request())
+        def ci() -> None:
+            job(lint_task)
+
+        spec = render_automation_jobs(ci)
+
+        assert "push" in spec.on
+        assert "pull_request" in spec.on
+
+    def test_automation_multiple_jobs(self) -> None:
+        """Test automation with multiple independent jobs."""
+
+        @automation
+        def ci() -> None:
+            job(lint_task)
+            job(format_task)
+            job(run_tests_task)
+
+        spec = render_automation_jobs(ci)
+
+        assert len(spec.jobs) == 3
+        assert "lint_task" in spec.jobs
+        assert "format_task" in spec.jobs
+        assert "run_tests_task" in spec.jobs
+
+    def test_automation_with_dependencies(self) -> None:
+        """Test automation with job dependencies."""
+
+        @automation
+        def ci() -> None:
+            lint_job = job(lint_task)
+            format_job = job(format_task)
+            job(run_tests_task, needs=[lint_job, format_job])
+
+        spec = render_automation_jobs(ci)
+
+        test_job = spec.jobs["run_tests_task"]
+        assert test_job.needs == ["lint_task", "format_task"]
+
+    def test_automation_entry_point(self) -> None:
+        """Test that entry_point is used in run commands."""
+
+        @automation
+        def ci() -> None:
+            job(lint_task)
+
+        spec = render_automation_jobs(ci, entry_point="./custom_runner")
+
+        lint_job = spec.jobs["lint_task"]
+        run_step = [s for s in lint_job.steps if s.run is not None][0]
+        assert run_step.run is not None
+        assert run_step.run.startswith("./custom_runner lint-task")
+
+    def test_job_with_outputs(self) -> None:
+        """Test job with declared outputs exposes them correctly."""
+
+        @automation
+        def build() -> None:
+            job(build_wheel_task)
+
+        spec = render_automation_jobs(build)
+
+        build_job = spec.jobs["build_wheel_task"]
+        assert build_job.outputs is not None
+        assert "wheel_path" in build_job.outputs
+        assert "version" in build_job.outputs
+        assert "steps.run.outputs.wheel_path" in build_job.outputs["wheel_path"]
+
+    def test_job_output_reference_creates_dependency(self) -> None:
+        """Test that referencing a job's output creates dependency."""
+
+        @automation
+        def build_and_test() -> None:
+            build_job = job(build_wheel_task)
+            job(wheel_test_task, inputs={"wheel_path": build_job.get("wheel_path")})
+
+        spec = render_automation_jobs(build_and_test)
+
+        test_job = spec.jobs["wheel_test_task"]
+        assert test_job.needs == ["build_wheel_task"]
+
+        # Check that the run command uses the output reference
+        run_step = [s for s in test_job.steps if s.run is not None][0]
+        assert run_step.run is not None
+        assert "needs.build_wheel_task.outputs.wheel_path" in run_step.run
+
+    def test_job_with_artifacts_upload(self) -> None:
+        """Test job with artifacts gets upload step."""
+
+        @automation
+        def build() -> None:
+            job(build_artifact_task)
+
+        spec = render_automation_jobs(build)
+
+        build_job = spec.jobs["build_artifact_task"]
+        upload_steps = [s for s in build_job.steps if s.uses and "upload-artifact" in s.uses]
+        assert len(upload_steps) == 1
+        assert upload_steps[0].with_ is not None
+        assert "build_artifact_task-wheel" in upload_steps[0].with_["name"]
+
+    def test_job_with_artifact_download(self) -> None:
+        """Test job consuming artifact gets download step."""
+
+        @automation
+        def build_and_test() -> None:
+            build_job = job(build_artifact_task)
+            job(artifact_test_task, inputs={"wheel": build_job.artifact("wheel")})
+
+        spec = render_automation_jobs(build_and_test)
+
+        test_job = spec.jobs["artifact_test_task"]
+        download_steps = [s for s in test_job.steps if s.uses and "download-artifact" in s.uses]
+        assert len(download_steps) == 1
+        assert download_steps[0].with_ is not None
+        assert "build_artifact_task-wheel" in download_steps[0].with_["name"]
+
+        # Check run command uses artifact path
+        run_step = [s for s in test_job.steps if s.run is not None][0]
+        assert run_step.run is not None
+        assert "artifacts/wheel" in run_step.run
+
+    def test_job_with_secrets(self) -> None:
+        """Test job with secrets gets them as env vars."""
+
+        @automation
+        def publish() -> None:
+            job(publish_task)
+
+        spec = render_automation_jobs(publish)
+
+        pub_job = spec.jobs["publish_task"]
+        assert pub_job.env is not None
+        assert "PYPI_TOKEN" in pub_job.env
+        assert "AWS_KEY" in pub_job.env
+        assert pub_job.env["PYPI_TOKEN"] == "${{ secrets.PYPI_TOKEN }}"
+
+    def test_job_with_condition(self) -> None:
+        """Test job with condition gets if: expression."""
+        skip_tests = InputParam[bool](default=False)
+        skip_tests._set_name("skip_tests")
+
+        @automation
+        def ci() -> None:
+            job(run_tests_task, condition=~skip_tests)
+
+        spec = render_automation_jobs(ci)
+
+        test_job = spec.jobs["run_tests_task"]
+        assert test_job.if_condition is not None
+        assert "inputs.skip_tests" in test_job.if_condition
+
+    def test_job_with_github_condition(self) -> None:
+        """Test job with GitHub context condition."""
+
+        @automation
+        def deploy() -> None:
+            job(lint_task, condition=github.ref_name == "main")
+
+        spec = render_automation_jobs(deploy)
+
+        lint_job = spec.jobs["lint_task"]
+        assert lint_job.if_condition is not None
+        assert "github.ref_name" in lint_job.if_condition
+
+    def test_job_with_matrix(self) -> None:
+        """Test job with matrix configuration."""
+
+        @automation
+        def test_matrix() -> None:
+            job(
+                run_tests_task,
+                matrix={
+                    "python": ["3.10", "3.11", "3.12"],
+                    "os": ["ubuntu-latest", "macos-latest"],
+                },
+            )
+
+        spec = render_automation_jobs(test_matrix)
+
+        test_job = spec.jobs["run_tests_task"]
+        assert test_job.matrix is not None
+        assert test_job.matrix["python"] == ["3.10", "3.11", "3.12"]
+        assert test_job.matrix["os"] == ["ubuntu-latest", "macos-latest"]
+
+    def test_job_with_custom_runner(self) -> None:
+        """Test job with custom runs_on."""
+
+        @automation
+        def macos_ci() -> None:
+            job(run_tests_task, runs_on="macos-latest")
+
+        spec = render_automation_jobs(macos_ci)
+
+        test_job = spec.jobs["run_tests_task"]
+        assert test_job.runs_on == "macos-latest"
+
+    def test_default_setup_steps(self) -> None:
+        """Test that default setup steps are included."""
+
+        @automation
+        def ci() -> None:
+            job(lint_task)
+
+        spec = render_automation_jobs(ci)
+
+        lint_job = spec.jobs["lint_task"]
+        setup_steps = lint_job.steps[:3]  # First 3 should be setup
+
+        assert setup_steps[0].uses == "actions/checkout@v4"
+        assert setup_steps[1].uses == "actions/setup-python@v5"
+        assert setup_steps[2].uses == "astral-sh/setup-uv@v4"
+
+    def test_custom_setup_steps(self) -> None:
+        """Test that custom setup steps override defaults."""
+        custom_setup = [
+            SetupStep("Checkout", "actions/checkout@v4"),
+            SetupStep("Setup Rust", "dtolnay/rust-toolchain@master", {"toolchain": "stable"}),
+        ]
+
+        @automation
+        def rust_ci() -> None:
+            job(lint_task)
+
+        spec = render_automation_jobs(rust_ci, default_setup=custom_setup)
+
+        lint_job = spec.jobs["lint_task"]
+        assert len([s for s in lint_job.steps if "setup-python" in (s.uses or "")]) == 0
+        rust_setup = [s for s in lint_job.steps if s.uses and "rust-toolchain" in s.uses]
+        assert len(rust_setup) == 1
+
+    def test_working_directory(self) -> None:
+        """Test that working_directory is applied to jobs."""
+
+        @automation
+        def ci() -> None:
+            job(lint_task)
+
+        spec = render_automation_jobs(ci, working_directory="subdir")
+
+        lint_job = spec.jobs["lint_task"]
+        assert lint_job.working_directory == "subdir"
+
+    def test_yaml_output_valid(self) -> None:
+        """Test that generated YAML is valid."""
+        from ruamel.yaml import YAML
+
+        @automation(trigger=on_push(branches=["main"]))
+        def ci() -> None:
+            lint_job = job(lint_task)
+            job(run_tests_task, needs=[lint_job])
+
+        spec = render_automation_jobs(ci)
+        yaml_str = spec.to_yaml()
+
+        # Should be parseable
+        yaml = YAML()
+        parsed = yaml.load(yaml_str)
+
+        assert parsed["name"] == "ci"
+        assert "push" in parsed["on"]
+        assert "lint_task" in parsed["jobs"]
+        assert "run_tests_task" in parsed["jobs"]
+        assert parsed["jobs"]["run_tests_task"]["needs"] == ["lint_task"]
+
+    def test_automation_with_input_params(self) -> None:
+        """Test automation with InputParam generates workflow_dispatch inputs."""
+
+        @automation
+        def deploy(
+            environment: InputParam[str] = InputParam(default="staging"),
+            force: InputParam[bool] = InputParam(default=False),
+        ) -> None:
+            job(lint_task)
+
+        spec = render_automation_jobs(deploy)
+
+        assert "workflow_dispatch" in spec.on
+        inputs = spec.on["workflow_dispatch"]["inputs"]
+        assert "environment" in inputs
+        assert "force" in inputs
+        assert inputs["environment"]["default"] == "staging"
+        assert inputs["force"]["type"] == "boolean"
+
+    def test_input_param_passed_to_job(self) -> None:
+        """Test InputParam value passed to job correctly."""
+
+        @automation
+        def parameterized(
+            env: InputParam[str] = InputParam(default="prod"),
+        ) -> None:
+            job(wheel_test_task, inputs={"wheel_path": env.to_ref()})
+
+        spec = render_automation_jobs(parameterized)
+
+        test_job = spec.jobs["wheel_test_task"]
+        run_step = [s for s in test_job.steps if s.run is not None][0]
+        assert run_step.run is not None
+        assert "inputs.env" in run_step.run
+
+
+class TestGHAJobSpecEnhancements:
+    """Tests for the enhanced GHAJobSpec class."""
+
+    def test_job_spec_needs(self) -> None:
+        """Test GHAJobSpec with needs."""
+        job = GHAJobSpec(
+            name="test",
+            needs=["lint", "build"],
+            steps=[StepSpec(name="run", run="echo test")],
+        )
+        d = job.to_dict()
+
+        assert d["needs"] == ["lint", "build"]
+
+    def test_job_spec_outputs(self) -> None:
+        """Test GHAJobSpec with outputs."""
+        job = GHAJobSpec(
+            name="build",
+            outputs={"version": "${{ steps.build.outputs.version }}"},
+            steps=[StepSpec(name="build", run="echo v1.0.0")],
+        )
+        d = job.to_dict()
+
+        assert d["outputs"] == {"version": "${{ steps.build.outputs.version }}"}
+
+    def test_job_spec_if_condition(self) -> None:
+        """Test GHAJobSpec with if condition."""
+        job = GHAJobSpec(
+            name="deploy",
+            if_condition="${{ github.ref == 'refs/heads/main' }}",
+            steps=[StepSpec(name="deploy", run="echo deploy")],
+        )
+        d = job.to_dict()
+
+        assert d["if"] == "${{ github.ref == 'refs/heads/main' }}"
+
+    def test_job_spec_matrix(self) -> None:
+        """Test GHAJobSpec with matrix."""
+        job = GHAJobSpec(
+            name="test",
+            matrix={"python": ["3.10", "3.11"]},
+            steps=[StepSpec(name="test", run="pytest")],
+        )
+        d = job.to_dict()
+
+        assert "strategy" in d
+        assert d["strategy"]["matrix"] == {"python": ["3.10", "3.11"]}
+
+
+# =============================================================================
+# P14 Phase 5: Tests for make_dispatchable and render_dispatchable
+# =============================================================================
+
+
+# Test tasks for dispatchable tests
+@recompose.task
+def no_params_task() -> recompose.Result[None]:
+    """Task with no parameters."""
+    return recompose.Ok(None)
+
+
+@recompose.task
+def string_param_task(*, name: str) -> recompose.Result[None]:
+    """Task with required string parameter."""
+    return recompose.Ok(None)
+
+
+@recompose.task
+def default_param_task(*, name: str = "world", count: int = 5) -> recompose.Result[None]:
+    """Task with default parameters."""
+    return recompose.Ok(None)
+
+
+@recompose.task
+def bool_param_task(*, verbose: bool = False, debug: bool = True) -> recompose.Result[None]:
+    """Task with boolean parameters."""
+    return recompose.Ok(None)
+
+
+@recompose.task(outputs=["result_path"])
+def output_task() -> recompose.Result[None]:
+    """Task with outputs."""
+    return recompose.Ok(None)
+
+
+@recompose.task(artifacts=["report"])
+def artifact_task() -> recompose.Result[None]:
+    """Task with artifacts."""
+    return recompose.Ok(None)
+
+
+@recompose.task(secrets=["API_KEY"])
+def secret_task() -> recompose.Result[None]:
+    """Task with secrets."""
+    return recompose.Ok(None)
+
+
+class TestDispatchInputTypes:
+    """Tests for DispatchInput types."""
+
+    def test_string_input_basic(self) -> None:
+        """Test StringInput basic usage."""
+        inp = StringInput(default="hello", description="A greeting")
+        d = inp.to_gha_dict()
+
+        assert d["type"] == "string"
+        assert d["default"] == "hello"
+        assert d["description"] == "A greeting"
+        assert d["required"] is False
+
+    def test_string_input_required(self) -> None:
+        """Test StringInput as required."""
+        inp = StringInput(required=True, description="Required param")
+        d = inp.to_gha_dict()
+
+        assert d["required"] is True
+        assert "default" not in d
+
+    def test_bool_input_basic(self) -> None:
+        """Test BoolInput basic usage."""
+        inp = BoolInput(default=True, description="Enable feature")
+        d = inp.to_gha_dict()
+
+        assert d["type"] == "boolean"
+        assert d["default"] is True
+        assert d["description"] == "Enable feature"
+
+    def test_bool_input_defaults_to_false(self) -> None:
+        """Test BoolInput defaults to False."""
+        inp = BoolInput()
+        d = inp.to_gha_dict()
+
+        assert d["default"] is False
+
+    def test_choice_input_basic(self) -> None:
+        """Test ChoiceInput basic usage."""
+        inp = ChoiceInput(
+            choices=["dev", "staging", "prod"],
+            default="staging",
+            description="Target environment",
+        )
+        d = inp.to_gha_dict()
+
+        assert d["type"] == "choice"
+        assert d["options"] == ["dev", "staging", "prod"]
+        assert d["default"] == "staging"
+        assert d["description"] == "Target environment"
+
+    def test_choice_input_required(self) -> None:
+        """Test ChoiceInput as required."""
+        inp = ChoiceInput(choices=["a", "b"], required=True)
+        d = inp.to_gha_dict()
+
+        assert d["required"] is True
+
+
+class TestMakeDispatchable:
+    """Tests for make_dispatchable function.
+
+    Note: make_dispatchable now returns an AutomationWrapper with workflow_dispatch trigger
+    instead of the legacy Dispatchable class.
+    """
+
+    def test_non_task_raises(self) -> None:
+        """make_dispatchable requires a @task-decorated function."""
+        with pytest.raises(TypeError, match="requires a @task-decorated function"):
+            make_dispatchable(lambda: None)  # type: ignore[arg-type]
+
+    def test_basic_dispatchable(self) -> None:
+        """Test creating a basic dispatchable automation."""
+        d = make_dispatchable(no_params_task)
+
+        assert isinstance(d, AutomationWrapper)
+        assert d.info.name == "no_params_task"
+        # Should have workflow_dispatch trigger
+        assert d.info.trigger is not None
+
+    def test_infer_no_params(self) -> None:
+        """Test inferring inputs from task with no params."""
+        d = make_dispatchable(no_params_task)
+
+        assert d.info.input_params == {}
+
+    def test_infer_string_param(self) -> None:
+        """Test inferring string input from task signature."""
+        d = make_dispatchable(string_param_task)
+
+        assert "name" in d.info.input_params
+        inp = d.info.input_params["name"]
+        assert isinstance(inp, InputParam)
+        assert inp._required is True
+
+    def test_infer_default_params(self) -> None:
+        """Test inferring inputs with defaults."""
+        d = make_dispatchable(default_param_task)
+
+        assert "name" in d.info.input_params
+        name_inp = d.info.input_params["name"]
+        assert isinstance(name_inp, InputParam)
+        assert name_inp._default == "world"
+        assert name_inp._required is False
+
+        assert "count" in d.info.input_params
+        count_inp = d.info.input_params["count"]
+        assert isinstance(count_inp, InputParam)
+        assert count_inp._default == "5"  # Numbers become strings
+
+    def test_infer_bool_params(self) -> None:
+        """Test inferring boolean inputs."""
+        d = make_dispatchable(bool_param_task)
+
+        assert "verbose" in d.info.input_params
+        verbose_inp = d.info.input_params["verbose"]
+        assert isinstance(verbose_inp, InputParam)
+        assert verbose_inp._default is False
+
+        assert "debug" in d.info.input_params
+        debug_inp = d.info.input_params["debug"]
+        assert isinstance(debug_inp, InputParam)
+        assert debug_inp._default is True
+
+    def test_explicit_inputs(self) -> None:
+        """Test providing explicit inputs."""
+        d = make_dispatchable(
+            string_param_task,
+            inputs={"name": StringInput(default="custom", description="Custom name")},
+        )
+
+        assert "name" in d.info.input_params
+        inp = d.info.input_params["name"]
+        assert inp._default == "custom"
+        assert inp._description == "Custom name"
+
+    def test_custom_name(self) -> None:
+        """Test providing a custom workflow name."""
+        d = make_dispatchable(no_params_task, name="custom_workflow")
+
+        assert d.info.name == "custom_workflow"
+
+
+class TestRenderDispatchable:
+    """Tests for rendering dispatchable automations.
+
+    Note: Dispatchables now use render_automation_jobs since they're AutomationWrappers.
+    """
+
+    def test_basic_render(self) -> None:
+        """Test rendering a basic dispatchable automation."""
+        d = make_dispatchable(no_params_task)
+        spec = render_automation_jobs(d)
+
+        assert spec.name == "no_params_task"
+        assert "workflow_dispatch" in spec.on
+        assert "no_params_task" in spec.jobs
+        assert len(spec.jobs) == 1
+
+    def test_workflow_dispatch_inputs(self) -> None:
+        """Test that inputs appear in workflow_dispatch."""
+        d = make_dispatchable(default_param_task)
+        spec = render_automation_jobs(d)
+
+        inputs = spec.on["workflow_dispatch"]["inputs"]
+        assert "name" in inputs
+        assert inputs["name"]["type"] == "string"
+        assert inputs["name"]["default"] == "world"
+
+        assert "count" in inputs
+        assert inputs["count"]["type"] == "string"
+
+    def test_explicit_inputs_render(self) -> None:
+        """Test rendering with explicit inputs."""
+        d = make_dispatchable(
+            no_params_task,
+            inputs={
+                "env": ChoiceInput(choices=["dev", "prod"], default="dev"),
+                "verbose": BoolInput(default=False),
+            },
+        )
+        spec = render_automation_jobs(d)
+
+        inputs = spec.on["workflow_dispatch"]["inputs"]
+        assert "env" in inputs
+        assert inputs["env"]["type"] == "choice"
+        assert inputs["env"]["options"] == ["dev", "prod"]
+
+        assert "verbose" in inputs
+        assert inputs["verbose"]["type"] == "boolean"
+
+    def test_entry_point_in_run_command(self) -> None:
+        """Test that entry_point is used in run command."""
+        d = make_dispatchable(no_params_task)
+        spec = render_automation_jobs(d, entry_point="./custom_runner")
+
+        job = spec.jobs["no_params_task"]
+        run_step = [s for s in job.steps if s.run is not None][0]
+        assert run_step.run is not None
+        assert run_step.run.startswith("./custom_runner no-params-task")
+
+    def test_inputs_passed_to_command(self) -> None:
+        """Test that inputs are passed as CLI args."""
+        d = make_dispatchable(default_param_task)
+        spec = render_automation_jobs(d)
+
+        job = spec.jobs["default_param_task"]
+        run_step = [s for s in job.steps if s.run is not None][0]
+        assert run_step.run is not None
+        assert "--name=${{ inputs.name }}" in run_step.run
+        assert "--count=${{ inputs.count }}" in run_step.run
+
+    def test_default_setup_steps(self) -> None:
+        """Test that default setup steps are included."""
+        d = make_dispatchable(no_params_task)
+        spec = render_automation_jobs(d)
+
+        job = spec.jobs["no_params_task"]
+        assert job.steps[0].uses == "actions/checkout@v4"
+        assert job.steps[1].uses == "actions/setup-python@v5"
+        assert job.steps[2].uses == "astral-sh/setup-uv@v4"
+
+    def test_custom_setup_steps(self) -> None:
+        """Test with custom setup steps."""
+        custom_setup = [
+            SetupStep("Checkout", "actions/checkout@v4"),
+            SetupStep("Setup Rust", "dtolnay/rust-toolchain@master"),
+        ]
+
+        d = make_dispatchable(no_params_task)
+        spec = render_automation_jobs(d, default_setup=custom_setup)
+
+        job = spec.jobs["no_params_task"]
+        assert len([s for s in job.steps if "setup-python" in (s.uses or "")]) == 0
+        assert len([s for s in job.steps if "rust-toolchain" in (s.uses or "")]) == 1
+
+    def test_working_directory(self) -> None:
+        """Test that working_directory is applied."""
+        d = make_dispatchable(no_params_task)
+        spec = render_automation_jobs(d, working_directory="subdir")
+
+        job = spec.jobs["no_params_task"]
+        assert job.working_directory == "subdir"
+
+    def test_task_with_outputs(self) -> None:
+        """Test rendering a task with outputs."""
+        d = make_dispatchable(output_task)
+        spec = render_automation_jobs(d)
+
+        job = spec.jobs["output_task"]
+        assert job.outputs is not None
+        assert "result_path" in job.outputs
+
+        # Run step should have id="run"
+        run_step = [s for s in job.steps if s.run is not None][0]
+        assert run_step.id == "run"
+
+    def test_task_with_artifacts(self) -> None:
+        """Test rendering a task with artifacts."""
+        d = make_dispatchable(artifact_task)
+        spec = render_automation_jobs(d)
+
+        job = spec.jobs["artifact_task"]
+        upload_steps = [s for s in job.steps if s.uses and "upload-artifact" in s.uses]
+        assert len(upload_steps) == 1
+
+    def test_task_with_secrets(self) -> None:
+        """Test rendering a task with secrets."""
+        d = make_dispatchable(secret_task)
+        spec = render_automation_jobs(d)
+
+        job = spec.jobs["secret_task"]
+        assert job.env is not None
+        assert "API_KEY" in job.env
+        assert job.env["API_KEY"] == "${{ secrets.API_KEY }}"
+
+    def test_yaml_output_valid(self) -> None:
+        """Test that generated YAML is valid."""
+        d = make_dispatchable(default_param_task)
+        spec = render_automation_jobs(d)
+        yaml_str = spec.to_yaml()
+
+        # Should be parseable
+        yaml = YAML()
+        parsed = yaml.load(yaml_str)
+
+        assert parsed["name"] == "default_param_task"
+        assert "workflow_dispatch" in parsed["on"]
+        assert "default_param_task" in parsed["jobs"]
+
+
+class TestDispatchableRepr:
+    """Tests for AutomationWrapper repr (from make_dispatchable)."""
+
+    def test_repr(self) -> None:
+        """Test AutomationWrapper repr."""
+        d = make_dispatchable(no_params_task)
+        # AutomationWrapper uses functools.update_wrapper, so repr has function info
+        assert "no_params_task" in d.info.name
diff --git a/recompose/tests/test_jobs.py b/recompose/tests/test_jobs.py
new file mode 100644
index 000000000000..ec161563dfe9
--- /dev/null
+++ b/recompose/tests/test_jobs.py
@@ -0,0 +1,575 @@
+"""Tests for the job-based automation framework (P14 Phase 2)."""
+
+from pathlib import Path
+
+import pytest
+
+import recompose
+from recompose import (
+    Artifact,
+    ArtifactRef,
+    AutomationInfo,
+    ConditionExpr,
+    InputParam,
+    JobOutputRef,
+    JobSpec,
+    github,
+    job,
+    on_pull_request,
+    on_push,
+    on_schedule,
+    on_workflow_dispatch,
+)
+
+# =============================================================================
+# Test Tasks (fixtures)
+# =============================================================================
+
+
+@recompose.task
+def simple_task() -> recompose.Result[None]:
+    """A simple task with no outputs."""
+    return recompose.Ok(None)
+
+
+@recompose.task(outputs=["wheel_path", "version"])
+def build_wheel() -> recompose.Result[None]:
+    """Build a wheel and set outputs."""
+    recompose.set_output("wheel_path", "/dist/pkg-1.0.0.whl")
+    recompose.set_output("version", "1.0.0")
+    return recompose.Ok(None)
+
+
+@recompose.task(artifacts=["wheel"])
+def build_with_artifact() -> recompose.Result[None]:
+    """Build and save an artifact."""
+    return recompose.Ok(None)
+
+
+@recompose.task(secrets=["PYPI_TOKEN"])
+def publish_task() -> recompose.Result[None]:
+    """Publish (requires secret)."""
+    return recompose.Ok(None)
+
+
+@recompose.task
+def run_wheel_tests(*, wheel_path: str) -> recompose.Result[None]:
+    """Test a wheel."""
+    return recompose.Ok(None)
+
+
+@recompose.task
+def run_artifact_tests(*, wheel: Artifact) -> recompose.Result[None]:
+    """Test using an artifact."""
+    return recompose.Ok(None)
+
+
+# =============================================================================
+# Test Automations
+# =============================================================================
+
+
+class TestJobSpecCreation:
+    """Tests for JobSpec creation via job()."""
+
+    def test_job_outside_automation_raises(self) -> None:
+        """job() must be called inside @automation."""
+        with pytest.raises(RuntimeError, match="can only be called inside"):
+            job(simple_task)
+
+    def test_job_with_non_task_raises(self) -> None:
+        """job() requires a @task-decorated function."""
+
+        @recompose.automation
+        def bad_automation() -> None:
+            # This should raise because it's not a task
+            job(lambda: None)  # type: ignore[arg-type]
+
+        with pytest.raises(TypeError, match="requires a @task-decorated function"):
+            bad_automation()
+
+    def test_job_creates_job_spec(self) -> None:
+        """job() creates a JobSpec."""
+
+        @recompose.automation
+        def my_automation() -> None:
+            j = job(simple_task)
+            assert isinstance(j, JobSpec)
+            assert j.job_id == "simple_task"
+            assert j.task_info.name == "simple_task"
+
+        my_automation()
+
+    def test_job_with_custom_id(self) -> None:
+        """job() accepts custom job_id."""
+
+        @recompose.automation
+        def my_automation() -> None:
+            j = job(simple_task, job_id="custom_id")
+            assert j.job_id == "custom_id"
+
+        my_automation()
+
+    def test_duplicate_job_id_raises(self) -> None:
+        """Duplicate job_id raises error."""
+
+        @recompose.automation
+        def bad_automation() -> None:
+            job(simple_task)
+            job(simple_task)  # Same task = same default ID
+
+        with pytest.raises(ValueError, match="Duplicate job_id"):
+            bad_automation()
+
+    def test_job_with_custom_runner(self) -> None:
+        """job() accepts custom runs_on."""
+
+        @recompose.automation
+        def my_automation() -> None:
+            j = job(simple_task, runs_on="macos-latest")
+            assert j.runs_on == "macos-latest"
+
+        my_automation()
+
+
+class TestAutomationDecorator:
+    """Tests for @automation decorator."""
+
+    def test_automation_returns_jobs(self) -> None:
+        """@automation returns list of jobs when called."""
+
+        @recompose.automation
+        def my_automation() -> None:
+            job(simple_task)
+
+        jobs = my_automation()
+        assert len(jobs) == 1
+        assert jobs[0].job_id == "simple_task"
+
+    def test_automation_plan_method(self) -> None:
+        """automation.plan() is an alias for calling."""
+
+        @recompose.automation
+        def my_automation() -> None:
+            job(simple_task)
+
+        jobs = my_automation.plan()
+        assert len(jobs) == 1
+
+    def test_automation_has_info(self) -> None:
+        """Automation has info attribute."""
+
+        @recompose.automation
+        def my_automation() -> None:
+            """My automation docstring."""
+            job(simple_task)
+
+        assert isinstance(my_automation.info, AutomationInfo)
+        assert my_automation.info.name == "my_automation"
+        assert my_automation.info.doc == "My automation docstring."
+
+    def test_automation_with_trigger(self) -> None:
+        """Automation accepts trigger parameter."""
+
+        @recompose.automation(trigger=on_push(branches=["main"]))
+        def ci() -> None:
+            job(simple_task)
+
+        assert ci.info.trigger is not None
+
+    def test_automation_multiple_jobs(self) -> None:
+        """Automation can have multiple jobs."""
+
+        @recompose.automation
+        def ci() -> None:
+            job(simple_task, job_id="lint")
+            job(simple_task, job_id="test")
+            job(simple_task, job_id="build")
+
+        jobs = ci()
+        assert len(jobs) == 3
+        job_ids = [j.job_id for j in jobs]
+        assert job_ids == ["lint", "test", "build"]
+
+
+class TestJobOutputRef:
+    """Tests for job output references."""
+
+    def test_get_valid_output(self) -> None:
+        """JobSpec.get() returns JobOutputRef for valid output."""
+
+        @recompose.automation
+        def my_automation() -> None:
+            build_job = job(build_wheel)
+            ref = build_job.get("wheel_path")
+            assert isinstance(ref, JobOutputRef)
+            assert ref.job_id == "build_wheel"
+            assert ref.output_name == "wheel_path"
+
+        my_automation()
+
+    def test_get_invalid_output_raises(self) -> None:
+        """JobSpec.get() raises for undeclared output."""
+
+        @recompose.automation
+        def bad_automation() -> None:
+            build_job = job(build_wheel)
+            build_job.get("nonexistent")
+
+        with pytest.raises(ValueError, match="has no output 'nonexistent'"):
+            bad_automation()
+
+    def test_output_ref_to_gha_expr(self) -> None:
+        """JobOutputRef generates correct GHA expression."""
+        ref = JobOutputRef("build_wheel", "wheel_path")
+        assert ref.to_gha_expr() == "${{ needs.build_wheel.outputs.wheel_path }}"
+
+    def test_output_creates_dependency(self) -> None:
+        """Using output ref creates dependency."""
+
+        @recompose.automation
+        def my_automation() -> None:
+            build_job = job(build_wheel)
+            test_job = job(
+                run_wheel_tests,
+                inputs={"wheel_path": build_job.get("wheel_path")},
+            )
+            # Dependency should be inferred
+            deps = test_job.get_all_dependencies()
+            assert len(deps) == 1
+            assert deps[0].job_id == "build_wheel"
+
+        my_automation()
+
+
+class TestArtifactRef:
+    """Tests for artifact references."""
+
+    def test_artifact_valid(self) -> None:
+        """JobSpec.artifact() returns ArtifactRef for valid artifact."""
+
+        @recompose.automation
+        def my_automation() -> None:
+            build_job = job(build_with_artifact)
+            ref = build_job.artifact("wheel")
+            assert isinstance(ref, ArtifactRef)
+            assert ref.job_id == "build_with_artifact"
+            assert ref.artifact_name == "wheel"
+
+        my_automation()
+
+    def test_artifact_invalid_raises(self) -> None:
+        """JobSpec.artifact() raises for undeclared artifact."""
+
+        @recompose.automation
+        def bad_automation() -> None:
+            build_job = job(build_with_artifact)
+            build_job.artifact("nonexistent")
+
+        with pytest.raises(ValueError, match="has no artifact 'nonexistent'"):
+            bad_automation()
+
+    def test_artifact_creates_dependency(self) -> None:
+        """Using artifact ref creates dependency."""
+
+        @recompose.automation
+        def my_automation() -> None:
+            build_job = job(build_with_artifact)
+            test_job = job(
+                run_artifact_tests,
+                inputs={"wheel": build_job.artifact("wheel")},
+            )
+            deps = test_job.get_all_dependencies()
+            assert len(deps) == 1
+            assert deps[0].job_id == "build_with_artifact"
+
+        my_automation()
+
+
+class TestExplicitDependencies:
+    """Tests for explicit needs dependencies."""
+
+    def test_explicit_needs(self) -> None:
+        """Jobs can have explicit needs."""
+
+        @recompose.automation
+        def my_automation() -> None:
+            lint_job = job(simple_task, job_id="lint")
+            test_job = job(simple_task, job_id="test", needs=[lint_job])
+            assert lint_job in test_job.needs
+
+        my_automation()
+
+    def test_combined_explicit_and_inferred(self) -> None:
+        """get_all_dependencies combines explicit and inferred."""
+
+        @recompose.automation
+        def my_automation() -> None:
+            lint_job = job(simple_task, job_id="lint")
+            build_job = job(build_wheel)
+            test_job = job(
+                run_wheel_tests,
+                inputs={"wheel_path": build_job.get("wheel_path")},
+                needs=[lint_job],
+            )
+            all_deps = test_job.get_all_dependencies()
+            job_ids = [d.job_id for d in all_deps]
+            assert "lint" in job_ids
+            assert "build_wheel" in job_ids
+
+        my_automation()
+
+
+class TestConditionExpressions:
+    """Tests for condition expressions."""
+
+    def test_input_condition_equality(self) -> None:
+        """InputParam == value creates condition."""
+        param = InputParam[str](default="prod")
+        param._set_name("env")
+
+        cond = param == "prod"
+        assert isinstance(cond, ConditionExpr)
+        assert cond.to_gha_expr() == "inputs.env == 'prod'"
+
+    def test_input_condition_inequality(self) -> None:
+        """InputParam != value creates condition."""
+        param = InputParam[str](default="prod")
+        param._set_name("env")
+
+        cond = param != "staging"
+        assert cond.to_gha_expr() == "inputs.env != 'staging'"
+
+    def test_input_condition_negation(self) -> None:
+        """~InputParam creates negated condition."""
+        param = InputParam[bool](default=False)
+        param._set_name("skip_tests")
+
+        cond = ~param
+        assert "!" in cond.to_gha_expr()
+
+    def test_condition_and(self) -> None:
+        """Conditions can be ANDed."""
+        p1 = InputParam[str](default="prod")
+        p1._set_name("env")
+        p2 = InputParam[bool](default=False)
+        p2._set_name("force")
+
+        cond = (p1 == "prod") & (p2 == True)  # noqa: E712
+        expr = cond.to_gha_expr()
+        assert "&&" in expr
+
+    def test_condition_or(self) -> None:
+        """Conditions can be ORed."""
+        p1 = InputParam[str](default="prod")
+        p1._set_name("env")
+
+        cond = (p1 == "prod") | (p1 == "staging")
+        expr = cond.to_gha_expr()
+        assert "||" in expr
+
+    def test_github_context_ref(self) -> None:
+        """GitHub context creates conditions."""
+        cond = github.ref_name == "main"
+        assert cond.to_gha_expr() == "github.ref_name == 'main'"
+
+    def test_github_context_eq_method(self) -> None:
+        """GitHub context .eq() method works."""
+        cond = github.event_name.eq("push")
+        assert cond.to_gha_expr() == "github.event_name == 'push'"
+
+    def test_complex_condition(self) -> None:
+        """Complex conditions work."""
+        param = InputParam[str](default="prod")
+        param._set_name("env")
+
+        cond = (param == "prod") & github.ref_name.eq("main")
+        expr = cond.to_gha_expr()
+        assert "inputs.env == 'prod'" in expr
+        assert "github.ref_name == 'main'" in expr
+        assert "&&" in expr
+
+    def test_condition_evaluate(self) -> None:
+        """Conditions can be evaluated at runtime."""
+        param = InputParam[str](default="prod")
+        param._set_name("env")
+
+        cond = param == "prod"
+        assert cond.evaluate({"inputs": {"env": "prod"}}) is True
+        assert cond.evaluate({"inputs": {"env": "staging"}}) is False
+
+
+class TestJobConditions:
+    """Tests for job conditions."""
+
+    def test_job_with_condition(self) -> None:
+        """Jobs can have conditions."""
+        param = InputParam[bool](default=False)
+        param._set_name("skip_tests")
+
+        @recompose.automation
+        def my_automation() -> None:
+            test_job = job(simple_task, condition=~param)
+            assert test_job.condition is not None
+
+        my_automation()
+
+
+class TestTriggers:
+    """Tests for trigger types."""
+
+    def test_push_trigger(self) -> None:
+        """on_push creates PushTrigger."""
+        trigger = on_push(branches=["main"])
+        d = trigger.to_gha_dict()
+        assert "push" in d
+        assert d["push"]["branches"] == ["main"]
+
+    def test_pull_request_trigger(self) -> None:
+        """on_pull_request creates PullRequestTrigger."""
+        trigger = on_pull_request(branches=["main"])
+        d = trigger.to_gha_dict()
+        assert "pull_request" in d
+        assert d["pull_request"]["branches"] == ["main"]
+
+    def test_schedule_trigger(self) -> None:
+        """on_schedule creates ScheduleTrigger."""
+        trigger = on_schedule(cron="0 0 * * *")
+        d = trigger.to_gha_dict()
+        assert "schedule" in d
+        assert d["schedule"][0]["cron"] == "0 0 * * *"
+
+    def test_workflow_dispatch_trigger(self) -> None:
+        """on_workflow_dispatch creates WorkflowDispatchTrigger."""
+        trigger = on_workflow_dispatch()
+        d = trigger.to_gha_dict()
+        assert "workflow_dispatch" in d
+
+    def test_combined_triggers(self) -> None:
+        """Triggers can be combined with |."""
+        trigger = on_push(branches=["main"]) | on_pull_request()
+        d = trigger.to_gha_dict()
+        assert "push" in d
+        assert "pull_request" in d
+
+
+class TestInputParam:
+    """Tests for InputParam type."""
+
+    def test_input_param_default(self) -> None:
+        """InputParam stores default."""
+        param = InputParam[str](default="prod")
+        assert param._default == "prod"
+
+    def test_input_param_required(self) -> None:
+        """InputParam without default is required."""
+        param = InputParam[str]()
+        assert param._required is True
+
+    def test_input_param_with_default_not_required(self) -> None:
+        """InputParam with default is not required."""
+        param = InputParam[str](default="prod")
+        assert param._required is False
+
+    def test_input_param_choices(self) -> None:
+        """InputParam can have choices."""
+        param = InputParam[str](default="prod", choices=["prod", "staging", "dev"])
+        assert param._choices == ["prod", "staging", "dev"]
+
+    def test_input_param_bool_raises_in_control_flow(self) -> None:
+        """InputParam cannot be used in Python if."""
+        param = InputParam[bool](default=False)
+        with pytest.raises(TypeError, match="cannot be used in Python control flow"):
+            if param:
+                pass
+
+
+class TestArtifactType:
+    """Tests for Artifact type."""
+
+    def test_artifact_with_path(self) -> None:
+        """Artifact stores path."""
+        artifact = Artifact(Path("/tmp/wheel.whl"))
+        assert artifact.path == Path("/tmp/wheel.whl")
+
+    def test_artifact_fspath(self) -> None:
+        """Artifact supports os.fspath."""
+        import os
+
+        artifact = Artifact(Path("/tmp/wheel.whl"))
+        assert os.fspath(artifact) == "/tmp/wheel.whl"
+
+    def test_artifact_str_path(self) -> None:
+        """Artifact accepts string path."""
+        artifact = Artifact("/tmp/wheel.whl")
+        assert artifact.path == Path("/tmp/wheel.whl")
+
+    def test_artifact_no_path_raises(self) -> None:
+        """Artifact.path raises if not set."""
+        artifact = Artifact()
+        with pytest.raises(RuntimeError, match="path not set"):
+            _ = artifact.path
+
+
+class TestMatrixJobs:
+    """Tests for matrix job configuration."""
+
+    def test_job_with_matrix(self) -> None:
+        """Jobs can have matrix configuration."""
+
+        @recompose.automation
+        def my_automation() -> None:
+            test_job = job(
+                simple_task,
+                matrix={
+                    "python": ["3.10", "3.11", "3.12"],
+                    "os": ["ubuntu-latest", "macos-latest"],
+                },
+            )
+            assert test_job.matrix is not None
+            assert test_job.matrix["python"] == ["3.10", "3.11", "3.12"]
+
+        my_automation()
+
+
+class TestAutomationContextIsolation:
+    """Tests that automation context is properly isolated."""
+
+    def test_contexts_are_isolated(self) -> None:
+        """Each automation call has isolated context."""
+
+        @recompose.automation
+        def automation1() -> None:
+            job(simple_task, job_id="job1")
+
+        @recompose.automation
+        def automation2() -> None:
+            job(simple_task, job_id="job2")
+
+        jobs1 = automation1()
+        jobs2 = automation2()
+
+        # Each should only see its own jobs
+        assert len(jobs1) == 1
+        assert jobs1[0].job_id == "job1"
+        assert len(jobs2) == 1
+        assert jobs2[0].job_id == "job2"
+
+    def test_context_cleaned_up_after_error(self) -> None:
+        """Context is cleaned up even if automation raises."""
+
+        @recompose.automation
+        def bad_automation() -> None:
+            job(simple_task)
+            raise ValueError("oops")
+
+        with pytest.raises(ValueError):
+            bad_automation()
+
+        # Should be able to run another automation
+        @recompose.automation
+        def good_automation() -> None:
+            job(simple_task)
+
+        jobs = good_automation()
+        assert len(jobs) == 1
diff --git a/recompose/tests/test_local_executor.py b/recompose/tests/test_local_executor.py
new file mode 100644
index 000000000000..b68d8d5f609a
--- /dev/null
+++ b/recompose/tests/test_local_executor.py
@@ -0,0 +1,321 @@
+"""Tests for local automation execution (P15 Phase 2)."""
+
+import pytest
+
+import recompose
+from recompose import Artifact, job
+from recompose.jobs import ArtifactRef, InputParamRef, JobOutputRef
+from recompose.local_executor import (
+    AutomationResult,
+    JobResult,
+    LocalExecutor,
+    _build_cli_args,
+    _parse_github_output,
+    _resolve_input_value,
+    topological_sort,
+)
+
+# =============================================================================
+# Test Tasks (fixtures)
+# =============================================================================
+
+
+@recompose.task
+def passing_task() -> recompose.Result[None]:
+    """A task that passes."""
+    return recompose.Ok(None)
+
+
+@recompose.task(outputs=["result"])
+def task_with_output() -> recompose.Result[None]:
+    """A task that sets an output."""
+    recompose.set_output("result", "hello")
+    return recompose.Ok(None)
+
+
+@recompose.task
+def task_with_input(*, value: str) -> recompose.Result[None]:
+    """A task that takes an input."""
+    recompose.out(f"Got value: {value}")
+    return recompose.Ok(None)
+
+
+@recompose.task
+def failing_task() -> recompose.Result[None]:
+    """A task that fails."""
+    return recompose.Err("Task failed intentionally")
+
+
+@recompose.task(artifacts=["wheel"])
+def build_task() -> recompose.Result[None]:
+    """A task that builds something."""
+    return recompose.Ok(None)
+
+
+@recompose.task
+def verify_task(*, wheel: Artifact) -> recompose.Result[None]:
+    """A task that tests/verifies something."""
+    return recompose.Ok(None)
+
+
+# =============================================================================
+# Test Topological Sort
+# =============================================================================
+
+
+class TestTopologicalSort:
+    """Tests for topological sort of jobs."""
+
+    def test_no_dependencies(self) -> None:
+        """Jobs with no dependencies can be in any order."""
+
+        @recompose.automation
+        def auto() -> None:
+            job(passing_task, job_id="a")
+            job(passing_task, job_id="b")
+            job(passing_task, job_id="c")
+
+        jobs = auto()
+        sorted_jobs = topological_sort(jobs)
+
+        # All jobs should be present
+        assert len(sorted_jobs) == 3
+        job_ids = {j.job_id for j in sorted_jobs}
+        assert job_ids == {"a", "b", "c"}
+
+    def test_linear_dependencies(self) -> None:
+        """Jobs with linear dependencies are sorted correctly."""
+
+        @recompose.automation
+        def auto() -> None:
+            a = job(passing_task, job_id="a")
+            b = job(passing_task, job_id="b", needs=[a])
+            job(passing_task, job_id="c", needs=[b])
+
+        jobs = auto()
+        sorted_jobs = topological_sort(jobs)
+
+        job_ids = [j.job_id for j in sorted_jobs]
+        # a must come before b, b must come before c
+        assert job_ids.index("a") < job_ids.index("b")
+        assert job_ids.index("b") < job_ids.index("c")
+
+    def test_diamond_dependencies(self) -> None:
+        """Diamond dependencies are handled correctly."""
+
+        @recompose.automation
+        def auto() -> None:
+            a = job(passing_task, job_id="a")
+            b = job(passing_task, job_id="b", needs=[a])
+            c = job(passing_task, job_id="c", needs=[a])
+            job(passing_task, job_id="d", needs=[b, c])
+
+        jobs = auto()
+        sorted_jobs = topological_sort(jobs)
+
+        job_ids = [j.job_id for j in sorted_jobs]
+        # a must come before b and c, b and c must come before d
+        assert job_ids.index("a") < job_ids.index("b")
+        assert job_ids.index("a") < job_ids.index("c")
+        assert job_ids.index("b") < job_ids.index("d")
+        assert job_ids.index("c") < job_ids.index("d")
+
+
+class TestResolveInputValue:
+    """Tests for input value resolution."""
+
+    def test_literal_value(self) -> None:
+        """Literal values are passed through."""
+        assert _resolve_input_value("hello", {}, {}) == "hello"
+        assert _resolve_input_value(42, {}, {}) == 42
+        assert _resolve_input_value(True, {}, {}) is True
+
+    def test_job_output_ref(self) -> None:
+        """JobOutputRef resolves to output value."""
+        ref = JobOutputRef("build", "result")
+        outputs = {"build": {"result": "value123"}}
+        assert _resolve_input_value(ref, outputs, {}) == "value123"
+
+    def test_job_output_ref_missing_job(self) -> None:
+        """JobOutputRef raises if job not found."""
+        ref = JobOutputRef("missing_job", "result")
+        with pytest.raises(ValueError, match="not found"):
+            _resolve_input_value(ref, {}, {})
+
+    def test_job_output_ref_missing_output(self) -> None:
+        """JobOutputRef raises if output not found."""
+        ref = JobOutputRef("build", "missing_output")
+        outputs = {"build": {"result": "value"}}
+        with pytest.raises(ValueError, match="missing_output"):
+            _resolve_input_value(ref, outputs, {})
+
+    def test_input_param_ref(self) -> None:
+        """InputParamRef resolves to param value."""
+        ref = InputParamRef("my_param")
+        params = {"my_param": "param_value"}
+        assert _resolve_input_value(ref, {}, params) == "param_value"
+
+    def test_input_param_ref_missing(self) -> None:
+        """InputParamRef raises if param not found."""
+        ref = InputParamRef("missing_param")
+        with pytest.raises(ValueError, match="missing_param"):
+            _resolve_input_value(ref, {}, {})
+
+    def test_artifact_ref(self) -> None:
+        """ArtifactRef returns placeholder (artifacts handled separately)."""
+        ref = ArtifactRef("build", "wheel")
+        result = _resolve_input_value(ref, {}, {})
+        assert "artifact:" in result
+
+
+class TestBuildCliArgs:
+    """Tests for CLI argument building."""
+
+    def test_empty_inputs(self) -> None:
+        """No inputs produces no args."""
+        args = _build_cli_args({}, {}, {})
+        assert args == []
+
+    def test_string_input(self) -> None:
+        """String inputs become --name=value."""
+        args = _build_cli_args({"name": "value"}, {}, {})
+        assert args == ["--name=value"]
+
+    def test_bool_true_input(self) -> None:
+        """True bool becomes --name."""
+        args = _build_cli_args({"verbose": True}, {}, {})
+        assert args == ["--verbose"]
+
+    def test_bool_false_input(self) -> None:
+        """False bool becomes --no-name."""
+        args = _build_cli_args({"verbose": False}, {}, {})
+        assert args == ["--no-verbose"]
+
+    def test_underscore_conversion(self) -> None:
+        """Underscores in names become hyphens."""
+        args = _build_cli_args({"my_param": "value"}, {}, {})
+        assert args == ["--my-param=value"]
+
+    def test_with_job_output_ref(self) -> None:
+        """JobOutputRef is resolved before building args."""
+        ref = JobOutputRef("build", "path")
+        outputs = {"build": {"path": "/dist/pkg.whl"}}
+        args = _build_cli_args({"wheel_path": ref}, outputs, {})
+        assert args == ["--wheel-path=/dist/pkg.whl"]
+
+
+class TestParseGithubOutput:
+    """Tests for GITHUB_OUTPUT parsing."""
+
+    def test_simple_key_value(self, tmp_path):
+        """Simple key=value lines are parsed."""
+        output_file = tmp_path / "output.txt"
+        output_file.write_text("key1=value1\nkey2=value2\n")
+
+        result = _parse_github_output(output_file)
+        assert result == {"key1": "value1", "key2": "value2"}
+
+    def test_multiline_value(self, tmp_path):
+        """Multiline values with delimiter syntax are parsed."""
+        output_file = tmp_path / "output.txt"
+        output_file.write_text("key<<EOF\nline1\nline2\nEOF\n")
+
+        result = _parse_github_output(output_file)
+        assert result == {"key": "line1\nline2"}
+
+    def test_mixed_formats(self, tmp_path):
+        """Mix of simple and multiline values."""
+        output_file = tmp_path / "output.txt"
+        output_file.write_text("simple=value\nmulti<<EOF\nline1\nline2\nEOF\n")
+
+        result = _parse_github_output(output_file)
+        assert result == {"simple": "value", "multi": "line1\nline2"}
+
+    def test_missing_file(self, tmp_path):
+        """Missing file returns empty dict."""
+        output_file = tmp_path / "nonexistent.txt"
+        result = _parse_github_output(output_file)
+        assert result == {}
+
+
+class TestJobResult:
+    """Tests for JobResult dataclass."""
+
+    def test_success_result(self) -> None:
+        """Successful job result."""
+        result = JobResult(
+            job_id="build",
+            success=True,
+            elapsed_seconds=1.5,
+            outputs={"path": "/dist/pkg.whl"},
+        )
+        assert result.success
+        assert result.outputs["path"] == "/dist/pkg.whl"
+
+    def test_failure_result(self) -> None:
+        """Failed job result."""
+        result = JobResult(
+            job_id="test",
+            success=False,
+            elapsed_seconds=0.5,
+            error="Tests failed",
+        )
+        assert not result.success
+        assert result.error == "Tests failed"
+
+
+class TestAutomationResult:
+    """Tests for AutomationResult dataclass."""
+
+    def test_all_jobs_pass(self) -> None:
+        """Automation success when all jobs pass."""
+        result = AutomationResult(
+            automation_name="ci",
+            success=True,
+            elapsed_seconds=5.0,
+            job_results=[
+                JobResult(job_id="lint", success=True, elapsed_seconds=1.0),
+                JobResult(job_id="test", success=True, elapsed_seconds=2.0),
+            ],
+        )
+        assert result.success
+        assert len(result.failed_jobs) == 0
+
+    def test_some_jobs_fail(self) -> None:
+        """Automation failure when some jobs fail."""
+        result = AutomationResult(
+            automation_name="ci",
+            success=False,
+            elapsed_seconds=5.0,
+            job_results=[
+                JobResult(job_id="lint", success=True, elapsed_seconds=1.0),
+                JobResult(job_id="test", success=False, elapsed_seconds=2.0, error="Failed"),
+            ],
+        )
+        assert not result.success
+        assert len(result.failed_jobs) == 1
+        assert result.failed_jobs[0].job_id == "test"
+
+
+class TestLocalExecutorDryRun:
+    """Tests for LocalExecutor dry run mode."""
+
+    def test_dry_run_no_execution(self) -> None:
+        """Dry run shows what would run without executing."""
+
+        @recompose.automation
+        def auto() -> None:
+            job(passing_task, job_id="a")
+            job(passing_task, job_id="b")
+
+        executor = LocalExecutor(dry_run=True)
+        result = executor.execute(auto)
+
+        # All jobs should "succeed" in dry run
+        assert result.success
+        assert len(result.job_results) == 2
+
+
+# Note: Integration tests that actually run subprocesses would require
+# setting up a proper test environment with the CLI available.
+# Those tests are better done manually or in CI with the full app.
diff --git a/recompose/tests/test_p14_task_enhancements.py b/recompose/tests/test_p14_task_enhancements.py
new file mode 100644
index 000000000000..1e43f7f093dc
--- /dev/null
+++ b/recompose/tests/test_p14_task_enhancements.py
@@ -0,0 +1,345 @@
+"""Tests for P14 task enhancements: outputs, artifacts, secrets, and step decorator."""
+
+from __future__ import annotations
+
+import os
+import tempfile
+from pathlib import Path
+
+import pytest
+
+from recompose import Ok, Result, get_secret, save_artifact, set_output, step, step_decorator, task
+
+
+class TestTaskOutputs:
+    """Tests for task output functionality."""
+
+    def test_task_with_outputs_declaration(self) -> None:
+        """Task can declare outputs in decorator."""
+
+        @task(outputs=["version", "path"])
+        def build_wheel() -> Result[None]:
+            set_output("version", "1.0.0")
+            set_output("path", "/dist/pkg.whl")
+            return Ok(None)
+
+        assert build_wheel._task_info.outputs == ["version", "path"]
+
+    def test_set_output_stores_value(self) -> None:
+        """set_output stores value in result."""
+
+        @task(outputs=["version"])
+        def build() -> Result[None]:
+            set_output("version", "1.0.0")
+            return Ok(None)
+
+        result = build()
+        assert result.ok
+        assert result.outputs == {"version": "1.0.0"}
+
+    def test_set_output_validates_declaration(self) -> None:
+        """set_output fails for undeclared outputs."""
+
+        @task(outputs=["version"])
+        def build() -> Result[None]:
+            set_output("undeclared", "value")
+            return Ok(None)
+
+        result = build()
+        assert result.failed
+        assert "undeclared" in str(result.error)
+        assert "not declared" in str(result.error)
+
+    def test_set_output_outside_task_raises(self) -> None:
+        """set_output raises when called outside a task."""
+        with pytest.raises(RuntimeError, match="must be called from within a task"):
+            set_output("test", "value")
+
+    def test_multiple_outputs(self) -> None:
+        """Task can set multiple outputs."""
+
+        @task(outputs=["a", "b", "c"])
+        def multi_output() -> Result[None]:
+            set_output("a", "1")
+            set_output("b", "2")
+            set_output("c", "3")
+            return Ok(None)
+
+        result = multi_output()
+        assert result.ok
+        assert result.outputs == {"a": "1", "b": "2", "c": "3"}
+
+    def test_task_without_outputs_declaration(self) -> None:
+        """Task without outputs declaration has empty list."""
+
+        @task
+        def simple() -> Result[None]:
+            return Ok(None)
+
+        assert simple._task_info.outputs == []
+
+
+class TestTaskArtifacts:
+    """Tests for task artifact functionality."""
+
+    def test_task_with_artifacts_declaration(self) -> None:
+        """Task can declare artifacts in decorator."""
+
+        @task(artifacts=["wheel", "docs"])
+        def build() -> Result[None]:
+            return Ok(None)
+
+        assert build._task_info.artifacts == ["wheel", "docs"]
+
+    def test_save_artifact_stores_info(self) -> None:
+        """save_artifact stores artifact info in result."""
+        with tempfile.NamedTemporaryFile(delete=False, suffix=".whl") as f:
+            f.write(b"wheel content")
+            wheel_path = Path(f.name)
+
+        try:
+
+            @task(artifacts=["wheel"])
+            def build() -> Result[None]:
+                save_artifact("wheel", wheel_path)
+                return Ok(None)
+
+            result = build()
+            assert result.ok
+            assert "wheel" in result.artifacts
+            assert result.artifacts["wheel"].path == wheel_path
+        finally:
+            wheel_path.unlink()
+
+    def test_save_artifact_validates_declaration(self) -> None:
+        """save_artifact fails for undeclared artifacts."""
+        with tempfile.NamedTemporaryFile(delete=False) as f:
+            temp_path = Path(f.name)
+
+        try:
+
+            @task(artifacts=["wheel"])
+            def build() -> Result[None]:
+                save_artifact("undeclared", temp_path)
+                return Ok(None)
+
+            result = build()
+            assert result.failed
+            assert "undeclared" in str(result.error)
+        finally:
+            temp_path.unlink()
+
+    def test_save_artifact_validates_path_exists(self) -> None:
+        """save_artifact fails if path doesn't exist."""
+
+        @task(artifacts=["wheel"])
+        def build() -> Result[None]:
+            save_artifact("wheel", Path("/nonexistent/path"))
+            return Ok(None)
+
+        result = build()
+        assert result.failed
+        assert "does not exist" in str(result.error)
+
+    def test_save_artifact_outside_task_raises(self) -> None:
+        """save_artifact raises when called outside a task."""
+        with pytest.raises(RuntimeError, match="must be called from within a task"):
+            save_artifact("test", Path("."))
+
+
+class TestTaskSecrets:
+    """Tests for task secrets functionality."""
+
+    def test_task_with_secrets_declaration(self) -> None:
+        """Task can declare secrets in decorator."""
+
+        @task(secrets=["API_KEY", "TOKEN"])
+        def deploy() -> Result[None]:
+            return Ok(None)
+
+        assert deploy._task_info.secrets == ["API_KEY", "TOKEN"]
+
+    def test_get_secret_from_env(self) -> None:
+        """get_secret reads from environment variable."""
+        os.environ["TEST_SECRET"] = "secret_value"
+        try:
+
+            @task(secrets=["TEST_SECRET"])
+            def use_secret() -> Result[str]:
+                return Ok(get_secret("TEST_SECRET"))
+
+            result = use_secret()
+            assert result.ok
+            assert result.value() == "secret_value"
+        finally:
+            del os.environ["TEST_SECRET"]
+
+    def test_get_secret_validates_declaration(self) -> None:
+        """get_secret fails for undeclared secrets."""
+
+        @task(secrets=["API_KEY"])
+        def use_secret() -> Result[None]:
+            get_secret("UNDECLARED")
+            return Ok(None)
+
+        result = use_secret()
+        assert result.failed
+        assert "UNDECLARED" in str(result.error)
+        assert "not declared" in str(result.error)
+
+    def test_get_secret_outside_task_raises(self) -> None:
+        """get_secret raises when called outside a task."""
+        with pytest.raises(RuntimeError, match="must be called from within a task"):
+            get_secret("TEST")
+
+    def test_get_secret_not_found_error(self) -> None:
+        """get_secret raises if secret not in env or secrets file."""
+        # Ensure the secret doesn't exist in env
+        env_key = "DEFINITELY_NOT_SET_12345"
+        if env_key in os.environ:
+            del os.environ[env_key]
+
+        @task(secrets=[env_key])
+        def use_secret() -> Result[None]:
+            get_secret(env_key)
+            return Ok(None)
+
+        result = use_secret()
+        assert result.failed
+        assert "not found" in str(result.error)
+
+
+class TestTaskSetup:
+    """Tests for task setup functionality."""
+
+    def test_task_with_setup_declaration(self) -> None:
+        """Task can declare setup steps in decorator."""
+        setup_steps = ["checkout", "setup-python"]
+
+        @task(setup=setup_steps)
+        def build() -> Result[None]:
+            return Ok(None)
+
+        assert build._task_info.setup == setup_steps
+
+    def test_task_without_setup_is_none(self) -> None:
+        """Task without setup declaration has None."""
+
+        @task
+        def simple() -> Result[None]:
+            return Ok(None)
+
+        assert simple._task_info.setup is None
+
+
+class TestStepContextManager:
+    """Tests for step context manager."""
+
+    def test_step_basic(self, capsys: pytest.CaptureFixture[str]) -> None:
+        """step() context manager groups output."""
+
+        @task
+        def build() -> Result[None]:
+            with step("Compile"):
+                print("compiling...")
+            return Ok(None)
+
+        result = build()
+        assert result.ok
+
+        captured = capsys.readouterr()
+        assert "[Compile]" in captured.out
+        assert "compiling..." in captured.out
+
+    def test_step_nested(self, capsys: pytest.CaptureFixture[str]) -> None:
+        """step() can be nested."""
+
+        @task
+        def build() -> Result[None]:
+            with step("Build"):
+                print("building...")
+                with step("Compile"):
+                    print("compiling...")
+            return Ok(None)
+
+        result = build()
+        assert result.ok
+
+        captured = capsys.readouterr()
+        assert "[Build]" in captured.out
+        assert "[Compile]" in captured.out
+
+
+class TestStepDecorator:
+    """Tests for step decorator."""
+
+    def test_step_decorator_basic(self, capsys: pytest.CaptureFixture[str]) -> None:
+        """step_decorator wraps function output."""
+
+        @step_decorator
+        def compile_code() -> None:
+            print("compiling...")
+
+        @task
+        def build() -> Result[None]:
+            compile_code()
+            return Ok(None)
+
+        result = build()
+        assert result.ok
+
+        captured = capsys.readouterr()
+        assert "[compile_code]" in captured.out
+
+    def test_step_decorator_with_name(self, capsys: pytest.CaptureFixture[str]) -> None:
+        """step_decorator accepts custom name."""
+
+        @step_decorator("Custom Step Name")
+        def compile_code() -> None:
+            print("compiling...")
+
+        @task
+        def build() -> Result[None]:
+            compile_code()
+            return Ok(None)
+
+        result = build()
+        assert result.ok
+
+        captured = capsys.readouterr()
+        assert "[Custom Step Name]" in captured.out
+
+
+class TestTaskDecoratorCombinations:
+    """Tests for combining multiple task decorator parameters."""
+
+    def test_all_parameters(self) -> None:
+        """Task can have all parameters together."""
+
+        @task(
+            outputs=["version"],
+            artifacts=["wheel"],
+            secrets=["TOKEN"],
+            setup=["checkout"],
+        )
+        def complex_task() -> Result[None]:
+            return Ok(None)
+
+        info = complex_task._task_info
+        assert info.outputs == ["version"]
+        assert info.artifacts == ["wheel"]
+        assert info.secrets == ["TOKEN"]
+        assert info.setup == ["checkout"]
+
+    def test_outputs_and_value(self) -> None:
+        """Task can have both outputs and return value."""
+
+        @task(outputs=["meta"])
+        def build() -> Result[str]:
+            set_output("meta", "extra info")
+            return Ok("build result")
+
+        result = build()
+        assert result.ok
+        assert result.value() == "build result"
+        assert result.outputs == {"meta": "extra info"}
diff --git a/recompose/tests/test_result.py b/recompose/tests/test_result.py
new file mode 100644
index 000000000000..46e832a83a03
--- /dev/null
+++ b/recompose/tests/test_result.py
@@ -0,0 +1,60 @@
+"""Tests for the Result type."""
+
+import pytest
+
+from recompose import Err, Ok, Result
+
+
+def test_ok_creates_success_result():
+    result = Ok(42)
+    assert result.ok is True
+    assert result.failed is False
+    assert result.value() == 42
+    assert result.error is None
+
+
+def test_err_creates_failure_result():
+    result = Err("something went wrong")
+    assert result.ok is False
+    assert result.failed is True
+    assert result.error == "something went wrong"
+    with pytest.raises(RuntimeError):
+        result.value()
+
+
+def test_err_with_traceback():
+    result = Err("error", traceback="traceback info")
+    assert result.traceback == "traceback info"
+
+
+def test_result_is_immutable():
+    result = Ok(42)
+    with pytest.raises(Exception):  # Pydantic raises ValidationError
+        result.status = "failure"  # Public fields are immutable
+
+
+def test_value_success():
+    result = Ok("hello")
+    assert result.value() == "hello"
+
+
+def test_value_failure_raises():
+    result = Err("oops")
+    with pytest.raises(RuntimeError, match="Attempted to get value from a failed result"):
+        result.value()
+
+
+def test_value_or_success():
+    result = Ok(42)
+    assert result.value_or(0) == 42
+
+
+def test_value_or_failure():
+    result: Result[int] = Err("oops")
+    assert result.value_or(0) == 0
+
+
+def test_ok_with_none_value():
+    result = Ok(None)
+    assert result.ok is True
+    assert result.value() is None
diff --git a/recompose/tests/test_subprocess.py b/recompose/tests/test_subprocess.py
new file mode 100644
index 000000000000..840925cef268
--- /dev/null
+++ b/recompose/tests/test_subprocess.py
@@ -0,0 +1,128 @@
+"""Tests for subprocess helpers."""
+
+import tempfile
+from pathlib import Path
+
+import pytest
+
+from recompose.subprocess import RunResult, SubprocessError, run
+
+
+def test_run_simple_command():
+    """Test running a simple command."""
+    result = run("echo", "hello", capture=True)
+    assert result.ok
+    assert result.returncode == 0
+    assert result.stdout.strip() == "hello"
+
+
+def test_run_result_properties():
+    """Test RunResult ok/failed properties."""
+    success = RunResult(returncode=0, command=["test"])
+    assert success.ok
+    assert not success.failed
+
+    failure = RunResult(returncode=1, command=["test"])
+    assert not failure.ok
+    assert failure.failed
+
+
+def test_run_with_arguments():
+    """Test running command with multiple arguments."""
+    result = run("echo", "hello", "world", capture=True)
+    assert result.ok
+    assert result.stdout.strip() == "hello world"
+
+
+def test_run_failing_command():
+    """Test that failing commands return non-zero exit code."""
+    result = run("false", capture=True)  # 'false' command always exits with 1
+    assert result.failed
+    assert result.returncode != 0
+
+
+def test_run_with_check_raises():
+    """Test that check=True raises on failure."""
+    with pytest.raises(SubprocessError) as exc_info:
+        run("false", check=True)
+
+    assert exc_info.value.result.returncode != 0
+    assert "false" in str(exc_info.value)
+
+
+def test_run_with_check_success():
+    """Test that check=True doesn't raise on success."""
+    result = run("true", check=True, capture=True)
+    assert result.ok
+
+
+def test_run_with_cwd():
+    """Test running command in a different directory."""
+    with tempfile.TemporaryDirectory() as tmpdir:
+        # Create a file in the temp dir
+        test_file = Path(tmpdir) / "test.txt"
+        test_file.write_text("content")
+
+        # List files in that directory
+        result = run("ls", cwd=tmpdir, capture=True)
+        assert result.ok
+        assert "test.txt" in result.stdout
+
+
+def test_run_with_env():
+    """Test running command with custom environment variables."""
+    result = run("sh", "-c", "echo $MY_TEST_VAR", env={"MY_TEST_VAR": "hello123"}, capture=True)
+    assert result.ok
+    assert "hello123" in result.stdout
+
+
+def test_run_env_merges_with_existing():
+    """Test that env vars are merged, not replaced."""
+    # PATH should still be available even when adding custom vars
+    result = run("sh", "-c", "echo $PATH", env={"MY_VAR": "test"}, capture=True)
+    assert result.ok
+    assert result.stdout.strip()  # PATH should not be empty
+
+
+def test_run_captures_stderr():
+    """Test that stderr is captured in capture mode."""
+    result = run("sh", "-c", "echo error >&2", capture=True)
+    assert result.ok
+    assert "error" in result.stderr
+
+
+def test_run_command_stored_in_result():
+    """Test that the command is stored in the result."""
+    result = run("echo", "test", capture=True)
+    assert result.command == ["echo", "test"]
+
+
+def test_run_with_path_objects():
+    """Test that Path objects work for arguments."""
+    with tempfile.TemporaryDirectory() as tmpdir:
+        tmppath = Path(tmpdir)
+        result = run("ls", tmppath, capture=True)
+        assert result.ok
+
+
+def test_run_streaming_mode(capsys):
+    """Test that streaming mode outputs to console."""
+    result = run("echo", "streamed output")
+    assert result.ok
+    # In streaming mode, output should have been printed
+    captured = capsys.readouterr()
+    assert "streamed output" in captured.out
+
+
+def test_run_not_found():
+    """Test running a command that doesn't exist."""
+    with pytest.raises(FileNotFoundError):
+        run("nonexistent_command_12345", capture=True)
+
+
+def test_subprocess_error_message():
+    """Test SubprocessError has informative message."""
+    result = RunResult(returncode=1, command=["my", "command"])
+    error = SubprocessError(result)
+    assert "my command" in str(error)
+    assert "exit code 1" in str(error)
diff --git a/recompose/tests/test_task.py b/recompose/tests/test_task.py
new file mode 100644
index 000000000000..304e906343c0
--- /dev/null
+++ b/recompose/tests/test_task.py
@@ -0,0 +1,88 @@
+"""Tests for the @task decorator."""
+
+from recompose import Ok, Result, task
+
+
+def test_task_creates_task_info():
+    """Test that @task attaches _task_info to the wrapper."""
+
+    @task
+    def my_test_task() -> Result[str]:
+        return Ok("done")
+
+    assert hasattr(my_test_task, "_task_info")
+    assert my_test_task._task_info.name == "my_test_task"
+
+
+def test_task_returns_result():
+    @task
+    def simple_task() -> Result[int]:
+        return Ok(42)
+
+    result = simple_task()
+    assert result.ok
+    assert result.value() == 42
+
+
+def test_task_with_arguments():
+    @task
+    def add_task(*, a: int, b: int) -> Result[int]:
+        return Ok(a + b)
+
+    result = add_task(a=2, b=3)
+    assert result.ok
+    assert result.value() == 5
+
+
+def test_task_with_default_arguments():
+    @task
+    def greet_task(*, name: str, greeting: str = "Hello") -> Result[str]:
+        return Ok(f"{greeting}, {name}!")
+
+    result = greet_task(name="World")
+    assert result.ok
+    assert result.value() == "Hello, World!"
+
+    result2 = greet_task(name="World", greeting="Hi")
+    assert result2.ok
+    assert result2.value() == "Hi, World!"
+
+
+def test_task_catches_exceptions():
+    @task
+    def failing_task() -> Result[str]:
+        raise ValueError("Something went wrong!")
+
+    result = failing_task()
+    assert result.failed
+    assert result.error is not None
+    assert "ValueError: Something went wrong!" in result.error
+    assert result.traceback is not None
+
+
+def test_task_wraps_non_result_return():
+    @task
+    def non_result_task() -> Result[int]:
+        return 42  # type: ignore[return-value]  # intentionally returning wrong type
+
+    result = non_result_task()
+    assert result.ok
+    assert result.value() == 42
+
+
+def test_task_preserves_docstring():
+    @task
+    def documented_task() -> Result[str]:
+        """This is a documented task."""
+        return Ok("done")
+
+    assert documented_task.__doc__ == "This is a documented task."
+
+
+def test_task_info_attached():
+    @task
+    def info_task() -> Result[str]:
+        return Ok("done")
+
+    assert hasattr(info_task, "_task_info")
+    assert info_task._task_info.name == "info_task"
diff --git a/recompose/uv.lock b/recompose/uv.lock
new file mode 100644
index 000000000000..e5bc9dd8f7e1
--- /dev/null
+++ b/recompose/uv.lock
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diff --git a/rerun_notebook/README.md b/rerun_notebook/README.md
index f07ad51f364f..d203d7be952b 100644
--- a/rerun_notebook/README.md
+++ b/rerun_notebook/README.md
@@ -87,11 +87,11 @@ and has appropriate CORS headers set. See: `asset_server.py` for a simple exampl
 Use Pixi:
 
 ```sh
-# install rerun-sdk from source with the "notebook" extra
-pixi run -e examples py-build-notebook
+# build rerun-sdk and rerun-notebook from source
+pixi run py-build && pixi run py-build-notebook
 
 # run jupyter
-pixi run -e examples jupyter notebook
+pixi run uv run jupyter notebook
 ```
 
 
diff --git a/rerun_notebook/package-lock.json b/rerun_notebook/package-lock.json
index a20580e28497..fed24870913e 100644
--- a/rerun_notebook/package-lock.json
+++ b/rerun_notebook/package-lock.json
@@ -15,7 +15,7 @@
     },
     "../rerun_js/web-viewer": {
       "name": "@rerun-io/web-viewer",
-      "version": "0.28.0-alpha.1+dev",
+      "version": "0.29.0-alpha.1+dev",
       "license": "MIT",
       "devDependencies": {
         "dts-buddy": "^0.3.0",
diff --git a/rerun_notebook/pyproject.toml b/rerun_notebook/pyproject.toml
index 9e1034d68474..faaeb98e9485 100644
--- a/rerun_notebook/pyproject.toml
+++ b/rerun_notebook/pyproject.toml
@@ -1,5 +1,5 @@
 [build-system]
-requires = ["hatchling"]
+requires = ["hatchling", "hatch-jupyter-builder>=0.5.0"]
 build-backend = "hatchling.build"
 
 [project]
diff --git a/rerun_notebook/src/rerun_notebook/__init__.py b/rerun_notebook/src/rerun_notebook/__init__.py
index 6c6b88a5481a..0a473a18d3eb 100644
--- a/rerun_notebook/src/rerun_notebook/__init__.py
+++ b/rerun_notebook/src/rerun_notebook/__init__.py
@@ -115,9 +115,13 @@ def _inline_widget() -> str:
     ESM_MOD = ASSET_ENV
     # note that the JS expects the Wasm binary to exist at the same path as itself
     if not (ASSET_ENV.startswith(("http://", "https://"))):
-        raise ValueError(f"RERUN_NOTEBOOK_ASSET should be a URL starting with http or https. Found: {ASSET_ENV}")
+        raise ValueError(
+            f"RERUN_NOTEBOOK_ASSET should be a URL starting with http or https. Found: {ASSET_ENV}"
+        )
     if not (ASSET_ENV.endswith("widget.js")):
-        raise ValueError(f"RERUN_NOTEBOOK_ASSET should be a URL pointing to a `widget.js` file. Found: {ASSET_ENV}")
+        raise ValueError(
+            f"RERUN_NOTEBOOK_ASSET should be a URL pointing to a `widget.js` file. Found: {ASSET_ENV}"
+        )
     ASSET_IS_URL = True
 
 
@@ -133,7 +137,9 @@ def __init__(self) -> None:
         )
         js_base64 = base64.b64encode(js.encode()).decode()
         onload = f"eval(atob('{js_base64}'))"
-        self._html = HTML(value=f'<div id="{widget_id}"><style onload="{onload}"></style></div>')
+        self._html = HTML(
+            value=f'<div id="{widget_id}"><style onload="{onload}"></style></div>'
+        )
 
     def _ipython_display_(self) -> None:
         from IPython.display import display
@@ -248,8 +254,12 @@ def block_until_ready(self, timeout: float = 10.0) -> None:
                 poll(1)
                 time.sleep(0.1)
 
-    def update_panel_states(self, panel_states: Mapping[Panel, PanelState | Literal["default"]]) -> None:
-        new_panel_states = dict(self._panel_states.items()) if self._panel_states else {}
+    def update_panel_states(
+        self, panel_states: Mapping[Panel, PanelState | Literal["default"]]
+    ) -> None:
+        new_panel_states = (
+            dict(self._panel_states.items()) if self._panel_states else {}
+        )
         for panel, state in panel_states.items():
             if state == "default":
                 new_panel_states.pop(panel, None)
@@ -258,7 +268,9 @@ def update_panel_states(self, panel_states: Mapping[Panel, PanelState | Literal[
         self._panel_states = new_panel_states
 
     def set_time_ctrl(self, timeline: str | None, time: int | None, play: bool) -> None:
-        self.send({"type": "time_ctrl", "timeline": timeline, "time": time, "play": play})
+        self.send(
+            {"type": "time_ctrl", "timeline": timeline, "time": time, "play": play}
+        )
 
     def set_active_recording(self, recording_id: str) -> None:
         self.send({"type": "recording_id", "recording_id": recording_id})
@@ -270,11 +282,13 @@ def close_url(self, url: str) -> None:
         self.send({"type": "close_url", "url": url})
 
     def set_credentials(self, access_token: str, email: str) -> None:
-        self.send({
-            "type": "set_credentials",
-            "access_token": access_token,
-            "email": email,
-        })
+        self.send(
+            {
+                "type": "set_credentials",
+                "access_token": access_token,
+                "email": email,
+            }
+        )
 
     def _on_raw_event(self, callback: Callable[[str], None]) -> None:
         """Register a set of callbacks with this instance of the Viewer."""
diff --git a/rerun_notebook/src/rerun_notebook/asset_server.py b/rerun_notebook/src/rerun_notebook/asset_server.py
index 1b682767979b..4e3d887d5209 100644
--- a/rerun_notebook/src/rerun_notebook/asset_server.py
+++ b/rerun_notebook/src/rerun_notebook/asset_server.py
@@ -10,7 +10,9 @@
 
 
 class _Asset:
-    def __init__(self, path: str | Path, content_type: str, encode_gzip: bool = False) -> None:
+    def __init__(
+        self, path: str | Path, content_type: str, encode_gzip: bool = False
+    ) -> None:
         self.data = Path(path).read_bytes()
         self.headers = {
             "Content-Type": content_type,
@@ -88,12 +90,16 @@ def serve_assets(
         print("Loading assets into memory…")
         assets = {
             "widget.js": _Asset(WIDGET_PATH, "text/javascript"),
-            "re_viewer_bg.wasm": _Asset(WASM_PATH, "application/wasm", encode_gzip=True),
+            "re_viewer_bg.wasm": _Asset(
+                WASM_PATH, "application/wasm", encode_gzip=True
+            ),
         }
 
     httpd = socketserver.TCPServer((bind_address, port), AssetHandler)
     bound_addr = httpd.server_address
-    print(f"Serving rerun notebook assets at http://{bound_addr[0]!s}:{bound_addr[1]!s}")
+    print(
+        f"Serving rerun notebook assets at http://{bound_addr[0]!s}:{bound_addr[1]!s}"
+    )
 
     if background:
         import threading
diff --git a/rerun_py/.non_sdk_mypy.ini b/rerun_py/.non_sdk_mypy.ini
index a721c22ba29b..29c9f585b21c 100644
--- a/rerun_py/.non_sdk_mypy.ini
+++ b/rerun_py/.non_sdk_mypy.ini
@@ -15,6 +15,9 @@ exclude = (?x)(
     | docs/snippets/all/tutorials/custom-recording-id.py
     | docs/snippets/all/tutorials/timelines_example.py
     )
+# These paths allow mypy to find rerun, rerun_bindings, and rerun_notebook
+# without needing to run maturin develop first (which installs the .pth file).
+mypy_path = rerun_py:rerun_py/rerun_sdk:rerun_notebook/src
 namespace_packages = true
 show_error_codes = true
 strict = true
@@ -24,7 +27,7 @@ no_implicit_reexport = false
 disallow_untyped_calls = false
 
 # Cloud and data processing libraries
-[mypy-lancedb.*,google.cloud.*,pyarrow.*,polars.*,geopandas.*,pyproj.*,shapely.*,datafusion.*]
+[mypy-google.cloud.*,lancedb.*,pyarrow.*,geopandas.*,pyproj.*,shapely.*]
 ignore_missing_imports = true
 
 # Development and build tools
@@ -55,6 +58,6 @@ ignore_missing_imports = true
 [mypy-log_point.*]
 ignore_missing_imports = true
 
-# Unsupported notebook utilities
-[ipywidgets.*]
+# Unsupported notebook utilities (no py.typed marker)
+[mypy-ipywidgets.*,jupyter_ui_poll.*]
 ignore_missing_imports = true
diff --git a/rerun_py/README.md b/rerun_py/README.md
index a64422302136..8f113028d085 100644
--- a/rerun_py/README.md
+++ b/rerun_py/README.md
@@ -61,16 +61,19 @@ Note that SDK and Viewer can run on different machines!
 
 # Building Rerun from source
 
-We use the [`pixi`](https://pixi.sh/) for managing dev-tool versioning, download and task running. See [here](https://github.com/casey/just#installation) for installation instructions.
+We use [`pixi`](https://pixi.sh/) for managing dev-tool versioning, download and task running. See [here](https://pixi.sh/latest/#installation) for installation instructions.
 
 ```sh
-pixi run py-build --release
+pixi run py-build
 ```
-To build SDK & Viewer for Python (or `pixi run py-build` for a debug build) and install it in the Pixi environment.
+This builds the SDK for Python (use `pixi run py-build --release` for a release build).
 
-You can then run examples from the repository, either by making the Pixi shell active with `pixi shell -e py` and then running Python or by using `pixi run -e py`, e.g. `pixi run -e py python examples/python/minimal/minimal.py`.
+You can then run examples via uv:
+```sh
+pixi run uv run examples/python/minimal/minimal.py
+```
 
-Respectively, to build a wheel instead for manual install use:
+To build a wheel instead for manual install use:
 ```sh
 pixi run py-build-wheel
 ```
@@ -87,12 +90,12 @@ While we try to keep the main branch usable at all times, it may be unstable occ
 
 # Running Python unit tests
 ```sh
-pixi run -e py py-build && pixi run -e py py-test
+pixi run py-test
 ```
 
-If you run into a problem, run `rm -rf .pixi` and try again.
+If you run into a problem, run `rm -rf .pixi .venv` and try again.
 
 # Running specific Python unit tests
 ```sh
-pixi run -e py py-build && pixi run -e py pytest rerun_py/tests/unit/test_tensor.py
+pixi run py-build && pixi run uvpy -m pytest rerun_py/tests/unit/test_tensor.py
 ```
diff --git a/rerun_py/build.rs b/rerun_py/build.rs
index 4632e7193e72..80d9b1a6bdd7 100644
--- a/rerun_py/build.rs
+++ b/rerun_py/build.rs
@@ -4,6 +4,32 @@ fn main() {
 
     re_build_tools::export_build_info_vars_for_crate("rerun_py");
 
+    // Prevent accidental slow builds via `uv pip install` or `uv sync`.
+    // These use isolated build environments which are very slow.
+    // Direct `maturin develop` or `maturin build` invocations are fast and allowed.
+    //
+    // We detect isolated builds by checking `PYO3_PYTHON` - in an isolated build,
+    // it points to a temp directory like ~/.cache/uv/builds-v0/.tmp*/
+    // or a pip build-env directory.
+    if re_build_tools::is_tracked_env_var_set("RERUN_BUILDING_WHEEL")
+        && is_isolated_build_environment()
+    {
+        eprintln!();
+        eprintln!("ERROR: rerun-sdk should not be built via `uv pip install` or `uv sync`.");
+        eprintln!("       This uses an isolated build environment which is very slow.");
+        eprintln!();
+        eprintln!("       Instead, use `pixi run py-build` or `maturin develop`:");
+        eprintln!();
+        eprintln!(
+            "           RERUN_ALLOW_MISSING_BIN=1 maturin develop --uv --manifest-path rerun_py/Cargo.toml"
+        );
+        eprintln!();
+        eprintln!(
+            "       Then use `uv sync --inexact --no-install-package rerun-sdk` to install other dependencies."
+        );
+        std::process::exit(1);
+    }
+
     // Fail if bin/rerun is missing and we haven't specified it's ok.
     if re_build_tools::is_tracked_env_var_set("RERUN_BUILDING_WHEEL")
         && !re_build_tools::is_tracked_env_var_set("RERUN_ALLOW_MISSING_BIN")
@@ -25,3 +51,38 @@ fn main() {
         }
     }
 }
+
+/// Detect if we're in an isolated PEP 517 build environment.
+///
+/// When pip or uv builds a package, they create an isolated virtual environment
+/// in a temporary directory. We can detect this by checking the `PYO3_PYTHON` path
+/// which maturin sets to the Python interpreter being used.
+///
+/// Known patterns for isolated build environments:
+/// - uv: `~/.cache/uv/builds-v0/.tmp*/bin/python`
+/// - pip: `*/build-env-*/bin/python` or similar temp patterns
+fn is_isolated_build_environment() -> bool {
+    let python_path =
+        re_build_tools::get_and_track_env_var("PYO3_PYTHON").unwrap_or_else(|_| String::new());
+
+    if python_path.is_empty() {
+        return false;
+    }
+
+    // uv isolated builds use ~/.cache/uv/builds-v0/.tmp*/
+    if python_path.contains(".cache/uv/builds") {
+        return true;
+    }
+
+    // pip isolated builds use build-env directories
+    if python_path.contains("build-env") {
+        return true;
+    }
+
+    // Generic pattern: temp directories with .tmp prefix in cache paths
+    if python_path.contains("/.tmp") && python_path.contains("cache") {
+        return true;
+    }
+
+    false
+}
diff --git a/rerun_py/docs/writing_docs.md b/rerun_py/docs/writing_docs.md
index 332a2287a229..6739956a18d0 100644
--- a/rerun_py/docs/writing_docs.md
+++ b/rerun_py/docs/writing_docs.md
@@ -14,12 +14,13 @@ pixi run py-docs-serve
 
 ### How versioned docs are generated and served
 
-Our documentation is versioned with releases and generated via [mkdocs](https://github.com/mkdocs/mkdocs)
+Our documentation is versioned with releases and generated via [mkdocs](https://github.com/mkdocs/mkdocs).
+The mkdocs dependencies are managed via uv (see the `docs` dependency group in `pyproject.toml`).
 
 The documentation exists as bucket on GCS which is hosted on the <https://ref.rerun.io> domain.
 
 Every commit that lands to main will generate bleeding edge documentation as HEAD. Behind the scenes, a
-GitHub action is running `pixi run -e py-docs py-docs-build`, and uploading the result to GCS at
+GitHub action is running `pixi run py-docs-build`, and uploading the result to GCS at
 [`docs/python/main`](https://ref.rerun.io/docs/python/main).
 
 Releases will push to a version instead: [`docs/python/0.23.3`](https://ref.rerun.io/docs/python/0.23.3)
diff --git a/rerun_py/pyproject.toml b/rerun_py/pyproject.toml
index 0222b0b05fe7..2f55b11778e7 100644
--- a/rerun_py/pyproject.toml
+++ b/rerun_py/pyproject.toml
@@ -35,10 +35,22 @@ name = "Rerun.io"
 text = "MIT OR Apache-2.0"
 
 [project.optional-dependencies]
-tests = ["pytest==8.4.2", "syrupy==5.0.0"]
+tests = [
+  "inline-snapshot==0.31.1",
+  "opencv-python>4.6",
+  "polars==1.36.1",
+  "pytest==8.4.2",
+  "semver>=3.0,<3.1",
+  "syrupy==5.0.0",
+  "tomli==2.0.1",
+  "torch>=2.5", # Needs numpy 2 support
+  "datafusion==50.1.0",
+]
 notebook = ["rerun-notebook==0.29.0-alpha.1+dev"]
 datafusion = ["datafusion==50.1.0"]
-all = ["rerun-sdk[notebook]", "rerun-sdk[datafusion]"]
+# Note: We avoid self-referential extras like "rerun-sdk[notebook]" because they cause
+# uv to fetch rerun-sdk from PyPI when the local package isn't built yet.
+all = ["rerun-notebook==0.28.0-alpha.1+dev", "datafusion==50.1.0"]
 
 [project.urls]
 documentation = "https://www.rerun.io/docs"
@@ -65,41 +77,12 @@ unsafe-fixes = true
 # Allow preview lints to be enabled (like `PLW1514` to force `encoding` on open).
 preview = true
 # But we only want to opt-in to certain preview rules!
-lint.explicit-preview-rules = true
-
-extend-exclude = [
-  # Automatically generated test artifacts
-  "target_ra/",
-  "target_wasm/",
-  "target/",
-  "venv/",
-
-  "scripts/ci/compare_path_digest.py",
-
-  # Intentionally uses ''' instead of """ so we can embed it in a docstring in the Python API docs.
-  "docs/snippets/all/archetypes/text_document.py",
-  "docs/snippets/all/views/text_document.py",
-
-  # TODO(#4047): incomplete example snippet
-  "docs/snippets/all/tutorials/timelines_example.py",
-
-  # Intentionally incomplete snippets
-  "docs/snippets/all/concepts/how_helix_was_logged.py",
-  "docs/snippets/all/concepts/static",
-  "docs/snippets/all/tutorials/custom-application-id.py",
-  "docs/snippets/all/tutorials/custom-recording-id.py",
-
-  # generated
-  "examples/python/objectron/objectron/proto/objectron/proto.py",
-
-  # Copied from https://github.com/colmap/colmap/blob/bf3e19140f491c3042bfd85b7192ef7d249808ec/scripts/python/read_write_model.py
-  "examples/python/structure_from_motion/structure_from_motion/read_write_model.py",
-]
 
 lint.ignore = [
   # It's pretty hard to always avoid variable/argument shadowing of built-in
   "A001",
   "A002",
+  "A005",
 
   # Too many violations to fix
   # TODO(ab): fix 'em nonetheless!
@@ -134,6 +117,36 @@ lint.ignore = [
   "TID252",
 ]
 
+lint.explicit-preview-rules = true
+extend-exclude = [
+  # Automatically generated test artifacts
+  "target_ra/",
+  "target_wasm/",
+  "target/",
+  "venv/",
+
+  "scripts/ci/compare_path_digest.py",
+
+  # Intentionally uses ''' instead of """ so we can embed it in a docstring in the Python API docs.
+  "docs/snippets/all/archetypes/text_document.py",
+  "docs/snippets/all/views/text_document.py",
+
+  # TODO(#4047): incomplete example snippet
+  "docs/snippets/all/tutorials/timelines_example.py",
+
+  # Intentionally incomplete snippets
+  "docs/snippets/all/concepts/how_helix_was_logged.py",
+  "docs/snippets/all/concepts/static",
+  "docs/snippets/all/tutorials/custom-application-id.py",
+  "docs/snippets/all/tutorials/custom-recording-id.py",
+
+  # generated
+  "examples/python/objectron/objectron/proto/objectron/proto.py",
+
+  # Copied from https://github.com/colmap/colmap/blob/bf3e19140f491c3042bfd85b7192ef7d249808ec/scripts/python/read_write_model.py
+  "examples/python/structure_from_motion/structure_from_motion/read_write_model.py",
+]
+
 line-length = 120
 lint.select = [
   "A", # Avoid shadowing built-ins
@@ -178,42 +191,18 @@ max-positional-args = 3
 [tool.ruff.lint.per-file-ignores]
 "*" = ["RUF012"] # TODO(emilk): consider enabling this
 
-"docs/snippets/all/*" = [
-  # Missing required import: `from __future__ import annotations`
-  "I002",
-]
-"crates/viewer/re_viewer/data/quick_start_guides/*" = [
-  # Missing required import: `from __future__ import annotations`
-  "I002",
-]
 "__init__.py" = ["F401", "F403"]
-"examples/notebook/notebook_neural_field_2d/neural_field_2d.ipynb" = [
-  # Intentional use of  `σ`
-  "RUF001",
-]
 
-"examples/*" = [
-  # We don't care about nice APIs in our examples:
-  "PLR0917",
-]
-"scripts/*" = [
-  # We don't care about nice APIs in our scripts:
-  "PLR0917",
-]
-"rerun_py/tests/*" = [
-  # We don't care about nice APIs in our tests:
-  "PLR0917",
-]
-"tests/python/*" = [
+"tests/*" = [
   # We don't care about nice APIs in our tests:
   "PLR0917",
 ]
 
-"rerun_py/rerun_sdk/*" = [
+"rerun_sdk/*" = [
   # Allow using rerun_bindings
   "TID251",
 ]
-"rerun_py/rerun_bindings/*" = [
+"rerun_bindings/*" = [
   # Allow using rerun_bindings
   "TID251",
 ]
@@ -260,55 +249,5 @@ error
 """
 norecursedirs = ".* venv* target* build"
 
-######################
-# mypy configuration #
-######################
-
-[tool.mypy]
-# Examples and docs are managed independently of the SDK.
-# in ini file adjacent to this.
-files = [
-  "rerun_py/rerun_sdk/rerun",
-  "rerun_py/rerun_bindings",
-  "rerun_py/tests",
-  "rerun_notebook/src/rerun_notebook",
-  "tests/python",
-]
-namespace_packages = true
-show_error_codes = true
-strict = true
-enable_error_code = ["redundant-expr", "truthy-bool", "ignore-without-code", "possibly-undefined"]
-ignore_missing_imports = false
-no_implicit_reexport = false
-disallow_untyped_calls = false
-
-[[tool.mypy.overrides]]
-
-module = [
-  "pyarrow.*",
-  # TODO(nick): remove datafusion/notebook after #10696 lands
-  "datafusion.*",
-  "rerun_notebook.*",
-  # https://github.com/jupyter-widgets/ipywidgets/issues/3688
-  "ipywidgets.*",
-  "anywidget.*",
-  # TODO(nick): is this blocked on above?
-  "jupyter_ui_poll.*",
-  # Ignore imports used in tests but not in the SDK.
-  "torch.*",
-  "torchvision.*",
-  "torchaudio.*",
-  "cv2.*",
-  "rerun.*",
-]
-ignore_missing_imports = true
-
-[[tool.mypy.overrides]]
-# rerun_draft is a sandbox for testing new APIs - we don't care about strict type checking
-module = ["api_sandbox.rerun_draft.*", "rerun_draft.*"]
-ignore_errors = true
-ignore_missing_imports = true
-
-
 [tool.inline-snapshot]
 format-command = "ruff check --config rerun_py/pyproject.toml --fix-only --stdin-filename {filename} | ruff format --config rerun_py/pyproject.toml --stdin-filename {filename}"
diff --git a/rerun_py/rerun/__init__.py b/rerun_py/rerun/__init__.py
deleted file mode 100644
index 92d96837665a..000000000000
--- a/rerun_py/rerun/__init__.py
+++ /dev/null
@@ -1,39 +0,0 @@
-"""
-A shim necessary to make maturin dev builds work properly.
-
-Our maturin builds stick our package inside of a "rerun_sdk" folder
-to avoid conflicting with the non-rerun "rerun" package. In released
-builds, we include a rerun_sdk.pth file that makes things work properly,
-but that doesn't work in dev builds where maturin generates its own
-.pth file that points 1 level too high.
-
-When we encounter this file on import, we instead redirect to the
-real rerun module by adding it to the path and then, and then
-replacing our own module content with it.
-
-Additionally, we set the RERUN_CLI_PATH environment variable to point
-to the rerun binary in the target directory so that we don't need to
-inject it into the source tree.
-"""
-
-from __future__ import annotations
-
-import os
-import pathlib
-import sys
-
-real_path = pathlib.Path(__file__).parent.parent.joinpath("rerun_sdk").resolve()
-
-print(f"DEV ENVIRONMENT DETECTED! Re-importing rerun from: {real_path}", file=sys.stderr)
-
-if "RERUN_CLI_PATH" not in os.environ:
-    import rerun_bindings as bindings  # noqa: TID251
-
-    flavor = "debug" if bindings.is_dev_build() else "release"
-    target_path = pathlib.Path(__file__).parent.parent.parent.joinpath(f"target/{flavor}/rerun").resolve()
-    os.environ["RERUN_CLI_PATH"] = str(target_path)
-
-sys.path.insert(0, str(real_path))
-
-del sys.modules["rerun"]
-sys.modules["rerun"] = __import__("rerun")
diff --git a/rerun_py/rerun_dev_fixup/pyproject.toml b/rerun_py/rerun_dev_fixup/pyproject.toml
new file mode 100644
index 000000000000..fb41f04fb08f
--- /dev/null
+++ b/rerun_py/rerun_dev_fixup/pyproject.toml
@@ -0,0 +1,16 @@
+[build-system]
+requires = ["hatchling"]
+build-backend = "hatchling.build"
+
+[project]
+name = "rerun-dev-fixup"
+version = "0.1.0"
+description = "Development helper for rerun-sdk editable installs"
+requires-python = ">=3.10"
+
+[tool.hatch.build.targets.wheel]
+# No Python packages, just the .pth file
+packages = []
+
+[tool.hatch.build.targets.wheel.force-include]
+"rerun_sdk_fixup.pth" = "rerun_sdk_fixup.pth"
diff --git a/rerun_py/rerun_dev_fixup/rerun_sdk_fixup.pth b/rerun_py/rerun_dev_fixup/rerun_sdk_fixup.pth
new file mode 100644
index 000000000000..ecef4b03834a
--- /dev/null
+++ b/rerun_py/rerun_dev_fixup/rerun_sdk_fixup.pth
@@ -0,0 +1 @@
+import sys; [sys.path.insert(0, p + "/rerun_sdk") for p in list(sys.path) if p.endswith("rerun_py") and p + "/rerun_sdk" not in sys.path]
diff --git a/rerun_py/rerun_sdk/rerun/archetypes/image.py b/rerun_py/rerun_sdk/rerun/archetypes/image.py
index 833845fcbf4d..c071d95c08fb 100644
--- a/rerun_py/rerun_sdk/rerun/archetypes/image.py
+++ b/rerun_py/rerun_sdk/rerun/archetypes/image.py
@@ -295,3 +295,4 @@ def columns(
 
     __str__ = Archetype.__str__
     __repr__ = Archetype.__repr__  # type: ignore[assignment]
+    # __array__ can be found in image_ext.py
diff --git a/rerun_py/rerun_sdk/rerun/archetypes/image_ext.py b/rerun_py/rerun_sdk/rerun/archetypes/image_ext.py
index 217257f5abb6..bd40e2657790 100644
--- a/rerun_py/rerun_sdk/rerun/archetypes/image_ext.py
+++ b/rerun_py/rerun_sdk/rerun/archetypes/image_ext.py
@@ -1,7 +1,7 @@
 from __future__ import annotations
 
 from io import BytesIO
-from typing import TYPE_CHECKING, Any, cast
+from typing import TYPE_CHECKING, Any, Protocol, cast, runtime_checkable
 
 import numpy as np
 import numpy.typing as npt
@@ -18,6 +18,21 @@
 )
 from ..error_utils import _send_warning_or_raise, catch_and_log_exceptions
 
+
+# Note: numpy._typing._SupportsArray exists but is private API.
+# We define our own for stability and to avoid depending on numpy internals.
+@runtime_checkable
+class SupportsDunderArray(Protocol):
+    """
+    An object that supports conversion to numpy array via __array__().
+
+    This includes torch.Tensor, JAX arrays, CuPy arrays, etc.
+    Unlike npt.ArrayLike, this excludes scalars, strings, and other non-array types.
+    """
+
+    def __array__(self) -> np.ndarray[Any, Any]: ...
+
+
 if TYPE_CHECKING:
     ImageLike = (
         npt.NDArray[np.float16]
@@ -35,6 +50,7 @@
         | npt.NDArray[np.integer]
         | np.ndarray[Any, np.dtype[np.floating | np.integer]]
         | PILImage.Image
+        | SupportsDunderArray  # Includes torch.Tensor and other array protocol objects
     )
     from . import EncodedImage, Image
 
diff --git a/rerun_py/tests/e2e_redap_tests/README.md b/rerun_py/tests/e2e_redap_tests/README.md
index 396b2fa413e7..700a4e31a5da 100644
--- a/rerun_py/tests/e2e_redap_tests/README.md
+++ b/rerun_py/tests/e2e_redap_tests/README.md
@@ -14,11 +14,11 @@ By default, the fixture creates a local OSS server for each test. However, it ca
 
 ## Running tests
 
-Note: prefix everything by `pixi run -e py` to run in a the pixi environment.
+Note: prefix commands with `pixi run uvpy -m` to run in the pixi/uv environment.
 
 Run against a local OSS server (default):
 ```bash
-pytest -c rerun_py/pyproject.toml rerun_py/tests/e2e_redap_tests
+pixi run uvpy -m pytest -c rerun_py/pyproject.toml rerun_py/tests/e2e_redap_tests
 ```
 
 Run against an external redap server:
diff --git a/rerun_py/tests/e2e_redap_tests/test_dataset_query.py b/rerun_py/tests/e2e_redap_tests/test_dataset_query.py
index 7565d9eda50d..5b772a35d38d 100644
--- a/rerun_py/tests/e2e_redap_tests/test_dataset_query.py
+++ b/rerun_py/tests/e2e_redap_tests/test_dataset_query.py
@@ -41,12 +41,12 @@ def test_segment_ordering(readonly_test_dataset: DatasetEntry) -> None:
             prior_segment = ""
             prior_timestamp = 0
             for rb in iter(rb_reader):
-                rb = rb.to_pyarrow()
-                for idx in range(rb.num_rows):
-                    segment = rb[0][idx].as_py()
+                rb_arrow: pyarrow.RecordBatch = rb.to_pyarrow()
+                for idx in range(rb_arrow.num_rows):
+                    segment = rb_arrow[0][idx].as_py()
 
                     # Nanosecond timestamps cannot be converted using `as_py()`
-                    timestamp = rb[1][idx]
+                    timestamp = rb_arrow[1][idx]
                     timestamp = timestamp.value if hasattr(timestamp, "value") else timestamp.as_py()
 
                     assert segment >= prior_segment
diff --git a/rerun_py/tests/e2e_redap_tests/test_dataset_query_filter.py b/rerun_py/tests/e2e_redap_tests/test_dataset_query_filter.py
index c4bbeaeb13b0..f780951f8470 100644
--- a/rerun_py/tests/e2e_redap_tests/test_dataset_query_filter.py
+++ b/rerun_py/tests/e2e_redap_tests/test_dataset_query_filter.py
@@ -96,8 +96,8 @@ def generate_tests(time_index: str, segments: list[pa.Scalar]) -> list[Expr]:
         # Collect all data without any filtering and store in memory
         # so that we can have guarantees that our push-down filters
         # do not impact the results.
-        full_data = readonly_test_dataset.reader(index=time_idx).collect()
-        catalog_client.ctx.register_record_batches(time_idx, [full_data])
+        full_data_batches = readonly_test_dataset.reader(index=time_idx).collect()
+        catalog_client.ctx.register_record_batches(time_idx, full_data_batches)
         full_data = catalog_client.ctx.table(time_idx)
 
         for test_filter in all_tests:
diff --git a/scripts/ci/approve_workflow_runs.py b/scripts/ci/approve_workflow_runs.py
index 8b786d68c4b8..1421ea261090 100755
--- a/scripts/ci/approve_workflow_runs.py
+++ b/scripts/ci/approve_workflow_runs.py
@@ -16,6 +16,7 @@
 
 import requests
 from github import Github
+from github.NamedUser import NamedUser
 
 if TYPE_CHECKING:
     from github.WorkflowRun import WorkflowRun
@@ -50,10 +51,13 @@ def main() -> None:
         if APPROVAL not in comment.body:
             continue
 
+        user = comment.user
+        assert isinstance(user, NamedUser), f"Expected NamedUser, got {type(user)}"
+
         can_user_approve_workflows = (
-            repo.owner.login == comment.user.login
-            or repo.organization.has_in_members(comment.user)
-            or repo.has_in_collaborators(comment.user)
+            repo.owner.login == user.login
+            or repo.organization.has_in_members(user)
+            or repo.has_in_collaborators(user)
         )
         if not can_user_approve_workflows:
             continue
diff --git a/scripts/ci/build_and_upload_wheels.py b/scripts/ci/build_and_upload_wheels.py
index 183e8d776a89..94d215df1a7d 100755
--- a/scripts/ci/build_and_upload_wheels.py
+++ b/scripts/ci/build_and_upload_wheels.py
@@ -80,7 +80,6 @@ def build_and_upload(
 
     compatibility = f"--compatibility {compatibility}" if compatibility is not None else ""
 
-    # Build into `dist`
     run(
         "maturin build "
         f"{compatibility} "
diff --git a/scripts/ci/check_large_files.py b/scripts/ci/check_large_files.py
index c2a01d5d561e..8a3aef8a9464 100755
--- a/scripts/ci/check_large_files.py
+++ b/scripts/ci/check_large_files.py
@@ -23,6 +23,7 @@
     "docs/snippets/INDEX.md",
     "pixi.lock",
     "rerun_cpp/docs/Doxyfile",
+    "uv.lock",
 }
 
 # Paths with the following prefixes are allowed to contain PNG files that are not checked into LFS
diff --git a/scripts/ci/uv_install_wheel.py b/scripts/ci/uv_install_wheel.py
new file mode 100644
index 000000000000..f811a29aae6c
--- /dev/null
+++ b/scripts/ci/uv_install_wheel.py
@@ -0,0 +1,112 @@
+#!/usr/bin/env python3
+
+"""
+Install a wheel from a folder in the specified pixi environment.
+
+Example:
+-------
+```
+python3 scripts/ci/uv_install_wheel.py --dir wheel --package rerun-sdk
+```
+
+"""
+
+from __future__ import annotations
+
+import argparse
+import os
+import platform
+import subprocess
+import sys
+from pathlib import Path
+from urllib.parse import urljoin
+from urllib.request import pathname2url
+
+
+def path_to_file_url(path: Path) -> str:
+    return urljoin("file:", pathname2url(str(path.absolute())))
+
+
+def run_uv_install(dir: str, pkg: str, platform_independent: bool = False) -> None:
+    # Find our current platform: linux, macosx, or win
+    plat = platform.system()
+    if plat == "Linux":
+        plat = "manylinux"
+    elif plat == "Darwin":
+        plat = "macosx"
+    elif plat == "Windows":
+        plat = "win"
+
+    if hasattr(os, "uname"):
+        arch = os.uname().machine
+    else:
+        arch = platform.machine().lower()
+
+    print(f"Platform: {plat}, Architecture: {arch}")
+
+    # Find the wheels
+    wheels = [whl.name for whl in Path(dir).glob("*.whl")]
+    print(f"Found {len(wheels)} wheels: {wheels}")
+
+    # Filter the wheels based on package
+    wheels = [whl for whl in wheels if whl.startswith(pkg.replace("-", "_"))]
+
+    # Filter the wheels based on platform
+    if not platform_independent:
+        wheels = [whl for whl in wheels if plat in whl]
+
+    # Filter the wheels based on architecture
+    if not platform_independent:
+        wheels = [whl for whl in wheels if arch in whl]
+
+    if len(wheels) == 0:
+        if platform_independent:
+            print(f"No wheels found for package {pkg} (the package was expected to be platform independent)")
+        else:
+            print(f"No wheels found for package {pkg} on platform {plat} and architecture {arch}")
+        sys.exit(1)
+
+    if len(wheels) > 1:
+        if platform_independent:
+            print(
+                f"Multiple wheels found for package {pkg} (the package was expected to be platform independent): {wheels}",
+            )
+        else:
+            print(f"Multiple wheels found for package {pkg} on platform {plat} and architecture {arch}: {wheels}")
+        sys.exit(1)
+
+    wheel = Path(dir) / wheels[0]
+
+    # Bootstrap the uv environment if it's missing
+    cmd = ["pixi", "run", "uv", "sync", "--inexact"]
+    print(f"Running: {' '.join(cmd)}")
+    returncode = subprocess.Popen(cmd).wait()
+    assert returncode == 0, f"process exited with error code {returncode}"
+
+    # Install the wheel
+    cmd = ["uv", "pip", "install", f"{pkg}[tests] @ {path_to_file_url(wheel)}"]
+    print(f"Running: {' '.join(cmd)}")
+    returncode = subprocess.Popen(cmd).wait()
+    assert returncode == 0, f"process exited with error code {returncode}"
+
+    print(f"Wheel installed: {wheel.name}")
+
+
+def main() -> None:
+    parser = argparse.ArgumentParser(
+        description="Find and install a wheel from a folder in the specified pixi environment",
+    )
+    parser.add_argument("--dir", required=True, help="Directory to search")
+    parser.add_argument("--package", required=True, help="The package to install")
+    parser.add_argument(
+        "--platform-independent",
+        action="store_true",
+        help="Specify if the wheel is platform independent and there should be no filtering for architecture & platform",
+    )
+    args = parser.parse_args()
+
+    run_uv_install(args.dir, args.package, args.platform_independent)
+
+
+if __name__ == "__main__":
+    main()
diff --git a/scripts/pixi/uv b/scripts/pixi/uv
new file mode 100755
index 000000000000..c4e32e780234
--- /dev/null
+++ b/scripts/pixi/uv
@@ -0,0 +1,10 @@
+#!/bin/bash
+# Wrapper script to run uv without CONDA_PREFIX so it uses .venv instead of pixi env
+# This script is prepended to PATH by pixi activation so it shadows the real uv
+
+# Find the real uv by temporarily removing our directory from PATH
+SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
+CLEAN_PATH=$(echo "$PATH" | tr ':' '\n' | grep -v "^${SCRIPT_DIR}$" | tr '\n' ':' | sed 's/:$//')
+
+# Run the real uv with CONDA_PREFIX unset
+env -u CONDA_PREFIX PATH="$CLEAN_PATH" uv "$@"
diff --git a/scripts/pixi/uv.cmd b/scripts/pixi/uv.cmd
new file mode 100644
index 000000000000..d47eb7dffa01
--- /dev/null
+++ b/scripts/pixi/uv.cmd
@@ -0,0 +1,12 @@
+@echo off
+REM Wrapper script to run uv without CONDA_PREFIX so it uses .venv instead of pixi env
+REM This script is prepended to PATH by pixi activation so it shadows the real uv
+
+setlocal
+
+REM Remove CONDA_PREFIX from environment
+set CONDA_PREFIX=
+
+REM Find and run the real uv (from pixi's conda env)
+REM We need to call the uv.exe that's in the pixi env bin directory
+"%PIXI_PROJECT_ROOT%\.pixi\envs\default\Scripts\uv.exe" %*
diff --git a/scripts/pixi/uvpy b/scripts/pixi/uvpy
new file mode 100755
index 000000000000..ad3a67465a68
--- /dev/null
+++ b/scripts/pixi/uvpy
@@ -0,0 +1,8 @@
+#!/bin/bash
+# Wrapper script to run "uv run python" using the local uv wrapper
+# This ensures we use .venv instead of pixi env
+
+SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
+
+# Use our uv wrapper script with "run python"
+"${SCRIPT_DIR}/uv" run python "$@"
diff --git a/scripts/pixi/uvpy.cmd b/scripts/pixi/uvpy.cmd
new file mode 100644
index 000000000000..ea8c76ea6bb6
--- /dev/null
+++ b/scripts/pixi/uvpy.cmd
@@ -0,0 +1,5 @@
+@echo off
+REM Wrapper script to run "uv run python" using the local uv wrapper
+REM This ensures we use .venv instead of pixi env
+
+"%~dp0uv.cmd" run python %*
diff --git a/scripts/run_python_e2e_test.py b/scripts/run_python_e2e_test.py
index 81c835b8d1ba..ae004e04529b 100755
--- a/scripts/run_python_e2e_test.py
+++ b/scripts/run_python_e2e_test.py
@@ -44,22 +44,22 @@ def main() -> None:
 
     examples = [
         # Trivial examples that don't require weird dependencies, or downloading data
-        "examples/python/minimal_options",
-        "examples/python/multithreading",
-        "examples/python/plots",
+        "minimal_options",
+        "multithreading",
+        "plots",
     ]
 
     if not parser.parse_args().no_install:
         print("----------------------------------------------------------")
         print("Installing examples…")
         start_time = time.time()
-        args = ["pip", "install"]
+        args = ["uv", "sync", "--inexact", "--no-install-package", "rerun-sdk"]
         for example in examples:
             # install in editable mode so `__file__` relative paths work
-            args.extend(["-e", example])
+            args.extend(["--package", example])
         subprocess.run(args, check=True)
         elapsed = time.time() - start_time
-        print(f"pip install in {elapsed:.1f} seconds")
+        print(f"uv sync in {elapsed:.1f} seconds")
         print()
 
     for example in examples:
diff --git a/tests/assets/rrd/generate-compatibility-rrds.sh b/tests/assets/rrd/generate-compatibility-rrds.sh
index 560ef9aa1423..97b2da0a96b6 100755
--- a/tests/assets/rrd/generate-compatibility-rrds.sh
+++ b/tests/assets/rrd/generate-compatibility-rrds.sh
@@ -11,10 +11,10 @@ DEST_DIR="tests/assets/rrd"
 
 # TODO(emilk): only update missing files
 echo "Generating example .rrd files…"
-pixi run -e examples build-examples rrd --channel main ${DEST_DIR}/examples
+pixi run build-examples rrd --install --channel main ${DEST_DIR}/examples
 
 echo "Generating snippet .rrd files…"
-pixi run -e py docs/snippets/compare_snippet_output.py --no-py --no-cpp --write-missing-backward-assets
+pixi run uvpy docs/snippets/compare_snippet_output.py --no-py --no-cpp --write-missing-backward-assets
 
 echo "Adding new .rrd files to git…"
 find "${DEST_DIR}" -type f -name "*.rrd" -exec git add -f {} \;
diff --git a/tests/python/dataframe/examples.ipynb b/tests/python/dataframe/examples.ipynb
index d104c6a0f94f..1796384f5c72 100644
--- a/tests/python/dataframe/examples.ipynb
+++ b/tests/python/dataframe/examples.ipynb
@@ -81,9 +81,9 @@
    "source": [
     "# Extract a single point-cloud\n",
     "\n",
-    "cloud = rr.dataframe.ComponentColumnSelector(\"world/points\", rr.components.Position3D)\n",
+    "cloud = rr.dataframe.ComponentColumnSelector(\"world/points\", \"Points3D:positions\")\n",
     "\n",
-    "batches = opf.view(index=\"image\", contents=\"world/points\").select([cloud])\n",
+    "batches = opf.view(index=\"image\", contents=\"world/points\").select(cloud)\n",
     "\n",
     "# Should the python APIs do this for us?\n",
     "table = pa.Table.from_batches(batches)\n",
@@ -98,8 +98,8 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "cloud = table[0][0]\n",
-    "type(cloud)"
+    "cloud_data = table[0][0]\n",
+    "type(cloud_data)"
    ]
   },
   {
@@ -109,7 +109,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "points_np = cloud.values.flatten().to_numpy().reshape(-1, 3)"
+    "points_np = cloud_data.values.flatten().to_numpy().reshape(-1, 3)"
    ]
   },
   {
@@ -188,7 +188,7 @@
     "# Maybe we only wanted to query poses for a few images\n",
     "# Find the positions of all the camera estimates\n",
     "\n",
-    "batches = view.filter_range_sequence(start=10, end=20).select([img_num, logged, pos, quat])\n",
+    "batches = view.filter_range_sequence(start=10, end=20).select(img_num, logged, pos, quat)\n",
     "\n",
     "table = pa.Table.from_batches(batches)\n",
     "\n",
@@ -260,10 +260,10 @@
     "# Let's grab an image for real this time\n",
     "\n",
     "# Getting these right is annoying -- would be nice to support '/**' somehow\n",
-    "blob = rr.dataframe.ComponentColumnSelector(\"world/cameras/image/rgb\", rr.components.Blob)\n",
-    "media = rr.dataframe.ComponentColumnSelector(\"world/cameras/image/rgb\", rr.components.MediaType)\n",
+    "blob = rr.dataframe.ComponentColumnSelector(\"world/cameras/image/rgb\", \"EncodedImage:blob\")\n",
+    "media = rr.dataframe.ComponentColumnSelector(\"world/cameras/image/rgb\", \"EncodedImage:media_type\")\n",
     "\n",
-    "batches = view.select([blob, media])\n",
+    "batches = view.select(blob, media)\n",
     "\n",
     "table = pa.Table.from_batches(batches)\n",
     "\n",
diff --git a/tests/python/release_checklist/README.md b/tests/python/release_checklist/README.md
index edc3d677b396..cb26269e5843 100644
--- a/tests/python/release_checklist/README.md
+++ b/tests/python/release_checklist/README.md
@@ -5,7 +5,7 @@ Welcome to the release checklist.
 
 Run the checklist with:
 ```
-pixi run -e py py-build && pixi run -e py python tests/python/release_checklist/main.py
+pixi run py-build && pixi run uv run tests/python/release_checklist/main.py
 ```
 
 ### When releasing
diff --git a/uv.lock b/uv.lock
new file mode 100644
index 000000000000..d48222147a04
--- /dev/null
+++ b/uv.lock
@@ -0,0 +1,6028 @@
+version = 1
+revision = 3
+requires-python = ">=3.10, <3.12"
+resolution-markers = [
+    "python_full_version >= '3.11' and platform_machine == 'aarch64' and sys_platform == 'linux'",
+    "(python_full_version >= '3.11' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version >= '3.11' and sys_platform != 'darwin' and sys_platform != 'linux')",
+    "python_full_version < '3.11' and platform_machine == 'aarch64' and sys_platform == 'linux'",
+    "(python_full_version < '3.11' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version < '3.11' and sys_platform != 'darwin' and sys_platform != 'linux')",
+    "python_full_version >= '3.11' and sys_platform == 'darwin'",
+    "python_full_version < '3.11' and sys_platform == 'darwin'",
+]
+
+[manifest]
+members = [
+    "air-traffic-data",
+    "arkit-scenes",
+    "blueprint",
+    "blueprint-stocks",
+    "camera-video-stream",
+    "clock",
+    "controlnet",
+    "dataframe-query",
+    "detect-and-track-objects",
+    "dicom-mri",
+    "dna",
+    "drone-lidar",
+    "graph-lattice",
+    "graphs",
+    "imu-signals",
+    "incremental-logging",
+    "lidar",
+    "live-camera-edge-detection",
+    "live-scrolling-plot",
+    "llm-embedding-ner",
+    "log-file",
+    "minimal",
+    "minimal-options",
+    "multiprocess-logging",
+    "multithreading",
+    "nuscenes-dataset",
+    "nv12",
+    "objectron",
+    "open-photogrammetry-format",
+    "openstreetmap-data",
+    "plots",
+    "raw-mesh",
+    "rerun-dev-fixup",
+    "rerun-notebook",
+    "rerun-sdk",
+    "rerun-workspace",
+    "rgbd",
+    "rrt-star",
+    "segment-anything-model",
+    "server-tables",
+    "shared-recording",
+    "stdio",
+    "structure-from-motion",
+    "table-zoo",
+    "template",
+]
+
+[[package]]
+name = "accelerate"
+version = "1.12.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "huggingface-hub" },
+    { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" },
+    { name = "numpy", version = "2.3.5", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" },
+    { name = "packaging" },
+    { name = "psutil" },
+    { name = "pyyaml" },
+    { name = "safetensors" },
+    { name = "torch" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/4a/8e/ac2a9566747a93f8be36ee08532eb0160558b07630a081a6056a9f89bf1d/accelerate-1.12.0.tar.gz", hash = "sha256:70988c352feb481887077d2ab845125024b2a137a5090d6d7a32b57d03a45df6", size = 398399, upload-time = "2025-11-21T11:27:46.973Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/9f/d2/c581486aa6c4fbd7394c23c47b83fa1a919d34194e16944241daf9e762dd/accelerate-1.12.0-py3-none-any.whl", hash = "sha256:3e2091cd341423207e2f084a6654b1efcd250dc326f2a37d6dde446e07cabb11", size = 380935, upload-time = "2025-11-21T11:27:44.522Z" },
+]
+
+[[package]]
+name = "air-traffic-data"
+version = "0.1.0"
+source = { editable = "examples/python/air_traffic_data" }
+dependencies = [
+    { name = "geopandas" },
+    { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" },
+    { name = "numpy", version = "2.3.5", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" },
+    { name = "polars" },
+    { name = "pyproj", version = "3.7.1", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" },
+    { name = "pyproj", version = "3.7.2", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" },
+    { name = "requests" },
+    { name = "rerun-sdk" },
+    { name = "shapely" },
+    { name = "tqdm" },
+]
+
+[package.metadata]
+requires-dist = [
+    { name = "geopandas" },
+    { name = "numpy" },
+    { name = "polars" },
+    { name = "pyproj" },
+    { name = "requests" },
+    { name = "rerun-sdk", editable = "rerun_py" },
+    { name = "shapely" },
+    { name = "tqdm" },
+]
+
+[[package]]
+name = "annotated-types"
+version = "0.7.0"
+source = { registry = "https://pypi.org/simple" }
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