What problem does it solve? AI training data becomes outdated, so answers about library APIs, configuration, and code examples can be wrong or stale. This Skill retrieves live, version-aware documentation through the Context7 MCP server instead of relying on memorized knowledge. ## Core Features & Use Cases - Library Resolution: Converts a library name (e.g. Next.js, Prisma, Supabase) into a Context7-compatible library ID using the resolve-library-id tool, preferring exact matches, high benchmark scores, and version-specific IDs. - Documentation Querying: Fetches relevant documentation and code snippets via the query-docs tool, limited to 3 calls per question to control cost and latency. - Use Case: A developer asks "How do I configure Next.js 15 middleware?" The Skill resolves the /vercel/next.js library ID, queries the current docs, and answers with an up-to-date middleware.ts example rather than outdated training-data patterns. ## Quick Start Ask a question about any library or framework, such as "How do I set up authentication with Supabase?", and the Skill will fetch and apply the current documentation.