Reads and navigates external documentation efficiently using AI-optimized formats like llms.txt and MCP servers.
The Documentation Reader skill empowers Claude to consume technical documentation intelligently without overwhelming the context window. It prioritizes AI-friendly formats such as llms.txt and markdown variants, leverages MCP servers for semantic search, and provides strategies for handling large documentation sets. By automating the discovery of documentation structure, it ensures accurate information retrieval for APIs, libraries, and third-party tools while minimizing noise from standard HTML rendering.
Key Features
01Automated discovery of llms.txt and llms-full.txt files for structured reading
02Support for skill.md discovery to learn product-specific implementation patterns
03Semantic search integration via Model Context Protocol (MCP) servers
040 GitHub stars
05Markdown-first retrieval to minimize token usage and noise from HTML
06Intelligent strategy selection based on file size and task complexity
Use Cases
01Debugging code by quickly grepping through full documentation text for error codes
02Researching specific API endpoints or configuration options before implementation
03Onboarding to new libraries or SDKs by navigating high-level structure and landing pages
