Docs Seeker

This is a smart wrapper around the llms.txt standard that knows how to hunt down technical documentation through multiple fallback strategies. It starts by checking context7.com for standardized AI-friendly docs, then falls back to GitHub repo analysis via Repomix, and finally deploys parallel Explorer agents if needed. The workflow is thorough: it handles versioning, knows common documentation patterns across frameworks, and spins up multiple agents when dealing with large doc sets. Honest take: the context7.com prioritization is clever since it's an aggregator, but the real value is in the fallback chain. You're basically getting a documentation retrieval system that won't give up easily, which beats manually clicking through docs sites when you need to pull reference material into your context window.