docs-seeker

Discover and analyze technical documentation from llms.txt and Repomix sources.

Updated Feb 3, 2026
One-click install
npx skills add https://github.com/lv7dev/shop_v2 --skill docs-seeker-lv7dev
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: docs-seeker
Source: https://github.com/lv7dev/shop_v2/tree/main/.claude/skills/docs-seeker
Command: npx skills add https://github.com/lv7dev/shop_v2 --skill docs-seeker-lv7dev

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill automates the discovery and analysis of technical documentation across multiple sources (llms.txt, Repomix-repo analysis, and parallel exploration) to deliver fast, cohesive insights and actionable reports.

Core Features & Use Cases

  • llms.txt discovery and content extraction from multiple sources
  • Repository analysis via Repomix to surface in-repo documentation and API references
  • Parallel exploration orchestration to maximize coverage and speed
  • Use Case: You need the latest docs for a library, validated across sources, with a single structured report

Quick Start

Provide the target library or repository to analyze. The skill will perform llms.txt discovery first, fall back to repository analysis with Repomix if needed, and return a structured report. For focused results, request topic-specific llms.txt (topic=…) to filter results and enable parallel exploration for larger documentation sets.

Frequently Asked Questions about docs-seeker

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I discover and extract technical documentation from multiple sources at once?

Documentation discovery from multiple sources is automated by orchestrating llms.txt extraction, Repomix repository analysis, and parallel exploration to deliver a single structured report with cohesive insights.

What is the best way to analyze a GitHub repository for in-repo documentation and API references?

Repository analysis via Repomix surfaces in-repo documentation and API references by processing the target repository, automatically falling back to this method when initial llms.txt discovery does not yield sufficient results.

How does parallel exploration work for large documentation sets?

Parallel exploration maximizes coverage and speed by orchestrating multiple explorers simultaneously across large documentation sets, utilizing version handling and caching to return structured reports efficiently.

Can I filter llms.txt results to find docs for a specific topic?

Yes, you can request topic-specific llms.txt results using topic filters to narrow down discovery, which also enables parallel exploration for processing larger, filtered documentation sets.

Do I need llms.txt access to perform repository analysis?

No, llms.txt access is attempted first but is not strictly required; the workflow automatically falls back to Repomix-powered repository analysis to surface in-repo documentation when llms.txt sources are unavailable.

Why does my documentation discovery return outdated library information?

Outdated library information is mitigated through built-in version handling and caching mechanisms during parallel exploration, ensuring the latest validated documentation is processed across multiple sources.