Docs Seeker FAQs

Question 1

Can I search for documentation for a specific version?

Accepted Answer

Yes, Docs Seeker explicitly handles versioning by checking versioned paths (e.g., /v2/llms.txt), searching specific GitHub tags, and prioritizing version-specific documentation domains.

Question 2

Is context7.com required for this skill to work?

Accepted Answer

No, but it is prioritized as a primary aggregator for llms.txt files. If context7.com is unavailable, the skill automatically falls back to official documentation domains and traditional web searches.

Question 3

What happens if a project doesn't have an llms.txt file?

Accepted Answer

Docs Seeker uses a multi-stage fallback strategy: it first searches for a GitHub repository to analyze, and if that fails, it launches parallel Researcher agents to gather data from official websites and tutorials.

Question 4

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

Accepted Answer

llms.txt is a standardized file format for providing AI-friendly documentation. Docs Seeker prioritizes these files because they are optimized for LLM ingestion and provide higher accuracy than raw HTML scraping.

Question 5

How does this skill handle GitHub repositories?

Accepted Answer

The skill uses Repomix to pack an entire repository into a single AI-optimized XML file. This allows Claude to understand the directory structure and codebase context without manual navigation.

Docs Seeker

主な機能

ユースケース

Docs Seeker

主な機能

ユースケース