• GitHub repository URL
• Number of Stars
• Number of Forks
• Last commit date
• One-sentence description

• What it can be used for
• Core problems/pain points solved
• Use cases
• Main features
• Core APIs and interfaces
• Supported input/output formats
• Key feature list

• Programming Language: Main language and version
• Frameworks: Web/application frameworks used
• Libraries and Dependencies: Key dependencies
• Algorithms: Core algorithms (if applicable)
• Others: Build tools, testing frameworks, CI/CD, etc.

• Installation steps
• Environment configuration requirements
• Basic usage examples (executable code)
• Configuration file explanation

• Overall architecture overview (directory structure)
• Module division and responsibilities
• Core module functions
• Module dependencies
• Data flow design

• README.md - Project overview
• package.json / pyproject.toml / Cargo.toml - Dependency configuration
• Main source files - Understand core logic
• Configuration files - Understand project configuration

1. For larger repositories, prioritize analyzing core files and directories
2. For complex repositories, focus on main entry files and core modules
3. Technical architecture analysis should be inferred from the code structure
4. Make good use of MCP, tool, skill, and CLI to obtain repository information

注：中文版 SKILL.md 在 references/skill-cn.md