ck:docs-seeker

You can automate library documentation discovery using a script-first workflow that detects your query topic, constructs targeted URLs, and fetches relevant docs with automatic fallbacks to general and web search suggestions.

llms.txt analysis processes repository documentation to generate a structured plan that optimizes workload distribution and provides deployment guidance for multiple agents working across the same library context.

Fetch library docs without knowing the exact URL by running a script that automatically constructs retrieval paths from your query and applies fallback chains across context7 patterns, GitHub repos, and official sites.

Yes, you can use this workflow to analyze GitHub repositories for documentation, as it includes automatic fallbacks and repo analysis to retrieve and process library docs directly from repository sources.

No external dependencies are required to run the documentation discovery scripts, as the workflow relies entirely on built-in scripts with robust error handling and environment configuration.

The limitations of script-first documentation discovery include relying on the accuracy of topic detection and the availability of llms.txt or standard documentation formats within the target repository for successful retrieval.