What problem does it solve? Finding accurate, up-to-date documentation for libraries and frameworks is slow when you must manually browse docs sites or guess API usage. This Skill resolves library documentation through Context7 first, with llms.txt-based discovery scripts as a fallback, so you get targeted API references, setup guides, and feature docs quickly. ## Core Features & Use Cases - Context7-first lookup: Resolves libraries and queries exact API, config, or setup questions through Context7 before falling back to local scripts. - Topic-specific search: Detects the library and topic in a query (e.g., "date picker in shadcn") and fetches only relevant llms.txt URLs in 10-15 seconds. - General library search: Retrieves full llms.txt indexes, categorizes URLs by priority (critical/important/supplementary), and recommends parallel agent distribution for comprehensive coverage. - Repository analysis fallback: Clones GitHub repos and packs them with Repomix when no llms.txt exists, extracting docs from README, docs/, and examples/. - Use Case: You ask "How do I configure caching in Next.js?" The Skill detects the topic, fetches context7.com/vercel/next.js/llms.txt?topic=cache, and returns only caching-related documentation URLs. ## Quick Start Ask how to use a specific feature of a library, such as "How do I use the date picker component in shadcn/ui?"
