Docs Seeker FAQs

Question 1

What is the llms.txt standard used by Docs Seeker?

Accepted Answer

The llms.txt standard provides documentation in a markdown format specifically optimized for Large Language Models, allowing Claude to ingest technical information more efficiently than standard HTML pages.

Question 2

Can I use Docs Seeker for private documentation?

Accepted Answer

If you have local access to the files or the repository, Docs Seeker can process the content using its analysis tools, provided the environment has the necessary permissions to read those files.

Question 3

Does Docs Seeker support specific library versions?

Accepted Answer

Yes, you can specify a version in your request. The skill will search for versioned paths (like /v2/llms.txt) or check out specific tags and branches during repository analysis.

Question 4

How does the skill handle documentation that isn't in llms.txt format?

Accepted Answer

Docs Seeker uses a multi-stage fallback strategy: it first tries context7.com, then official site search, then GitHub repository analysis via Repomix, and finally uses parallel Researcher agents to scrape traditional web docs.

Question 5

What is Repomix and why is it used here?

Accepted Answer

Repomix is a tool that packs an entire GitHub repository into a single AI-friendly file. Docs Seeker uses it to analyze codebases that don't have structured documentation, ensuring Claude understands the actual implementation logic.

Docs Seeker

Key Features

Use Cases

Docs Seeker

Key Features

Use Cases