🧩 A curated collection of reusable AI Agent Skills for standardized workflows, best practices, and domain expertise.
Skill-Lib is a community-driven repository that empowers AI Agents with battle-tested, reusable capabilities. Each Skill encapsulates proven workflows, eliminating repetitive setup and enabling Agents to focus on delivering value.
- 🚀 Ready to Use - Pre-built, validated workflows for common tasks
- 📚 Well Documented - Clear instructions with examples and best practices
- 🔄 Reusable - Install once, use across multiple projects
- 🌍 Community - Open source, contributions welcome
# Clone the repository
git clone https://github.com/Dqz00116/skill-lib.git
# Copy desired Skills to your workspace
cp -r skill-lib/code-analysis ~/my-agent/skills/
# Start using it!
cat ~/my-agent/skills/code-analysis/SKILL.mdAgents can automatically install and use Skills:
# Example: Agent reading and applying a Skill
skill_content = read_file("skills/code-analysis/SKILL.md")
execute_workflow(skill_content)See INSTALL.md for detailed installation options.
| Skill | Description | Use Cases | Complexity |
|---|---|---|---|
| code-analysis | 4-step structured code analysis | Understanding code, architecture review | ⭐⭐ Medium |
| code-generator | Phase-based code generation | Implementation from design docs | ⭐⭐⭐ Complex |
| daily-log | Structured daily operation logs | Work tracking, knowledge retention | ⭐ Simple |
| git-workflow | Safe Git commit workflow | Code submission, version control | ⭐ Simple |
| hexo-blog-update | Hexo blog post creation and publishing | Blogging, content management | ⭐ Simple |
| knowledge-base-cache | 3-tier knowledge management | Large-scale knowledge, cost reduction | ⭐⭐⭐ Complex |
| msvc-build | MSVC C++ compilation guide | Build projects, debug errors | ⭐⭐ Medium |
| mvp-design | MVP design specification | Rapid prototyping, architecture | ⭐⭐ Medium |
| requirement-clarification | Clarify ambiguous instructions before execution | Safety, confirmation protocol | ⭐⭐ Medium |
| research-to-practice | Transform research papers into workflow optimizations | Research application, innovation | ⭐⭐ Medium |
| unity-mcp | Unity MCP integration for AI control | Unity game dev, AI automation | ⭐⭐⭐ Complex |
| If you need to... | Use this Skill |
|---|---|
| Understand unfamiliar code | code-analysis |
| Generate code from design | code-generator |
| Record daily work | daily-log |
| Commit code safely | git-workflow |
| Update Hexo blog | hexo-blog-update |
| Manage knowledge base | knowledge-base-cache |
| Compile C++ projects | msvc-build |
| Design system architecture | mvp-design |
| Clarify ambiguous instructions | requirement-clarification |
| Apply research papers to workflows | research-to-practice |
| Unity AI automation | unity-mcp |
- SUMMARY.md - Complete skill comparison and selection guide
- INSTALL.md - Installation guide for local workspaces
- RULES.md - Contribution guidelines and standards
We welcome contributions! Please see RULES.md for:
- Naming conventions
- Content guidelines
- Submission process
---
name: your-skill-name
description: One-line description of what it does
version: 1.0
---
# Your Skill Name
## When to Use
Describe when to use this skill
## Prerequisites
What is needed before using
## Workflow
Step-by-step instructions
## Best Practices
Tips for effective use- English (Current)
- 中文 - Chinese version
Why Chinese is used: Chinese has higher information entropy compared to English. When applying localization understanding, please pay attention to differences between symbolic systems.
Key considerations:
- Chinese characters carry more semantic density per symbol
- Contextual understanding is crucial due to lack of explicit grammatical markers
- Symbol system differences (e.g., full-width punctuation, no spaces between words)
MIT License - See LICENSE
Built by Agents, for Agents 🤖
Last updated: 2026-02-11