docs-seeker

To find llms.txt documentation, the skill orchestrates scripted queries that detect whether your search is topic-specific and retrieves focused llms.txt sources from context7 and GitHub repos.

An llms.txt file provides structured documentation tailored for AI context. You need it when automating library or framework documentation discovery to supply focused context to LLMs.

When primary llms.txt sources are unavailable, the workflow orchestrates fallback strategies by retrieving general library URLs, performing web searches, or analyzing GitHub repositories.

No, the documentation discovery workflow has zero external dependencies. It relies entirely on built-in scripts and references to coordinate environment-aware execution and robust retrieval.

Yes, you can automate context7 documentation retrieval by running deterministic Node.js scripts that detect topics and fetch relevant sources for repeatable results.

The best way to organize framework documentation is using script-driven workflows that detect topic-specific queries, fetch llms.txt sources, and coordinate discovery via deterministic scripts for repeatable results.