This skill provides Claude Code with a comprehensive library of standardized templates and structure guidelines to improve technical documentation across any software project. It enables AI agents to generate high-quality README files, detailed API references, JSDoc comments, Architecture Decision Records (ADRs), and specialized files like llms.txt for better AI crawler discovery. By implementing these industry best practices, developers ensure their projects remain scannable, maintainable, and optimized for both human collaborators and LLM-driven development tools.
주요 기능
01AI-friendly documentation patterns including llms.txt and MCP readiness
0238,904 GitHub stars
03Comprehensive templates for READMEs and API documentation
04Best practices for scannable and progressive detail information hierarchy
05Standardized JSDoc and TSDoc code comment guidelines
06Architecture Decision Record (ADR) and Changelog structures
사용 사례
01Setting up AI-optimized index files to improve RAG performance for LLMs
02Bootstrapping a professional README for a new open-source repository
03Documenting a RESTful API with consistent parameter and response tables