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docs-seeker

Discover and synthesize documentation from llms.txt, repositories, and research sources.

Updated Jan 10, 2026
Search Tags:#documentation#repomix#llms.txt#context7#repository-analysis#parallel-exploration
One-click install
npx skills add https://github.com/Junior-Frontend-dev/Hi-u-ng --skill docs-seeker-junior-frontend-dev
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: docs-seeker
Source: https://github.com/Junior-Frontend-dev/Hi-u-ng/tree/main/.claude/skills/docs-seeker
Command: npx skills add https://github.com/Junior-Frontend-dev/Hi-u-ng --skill docs-seeker-junior-frontend-dev

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Automates comprehensive documentation discovery and synthesis across llms.txt, repositories, and research sources.

Core Features & Use Cases

  • Multi-source discovery: prioritizes context7 llms.txt, falls back to repository analysis via Repomix or Researcher agents when needed.
  • Version-aware reporting: detects requested library versions and surfaces corresponding docs with migration notes and version context.
  • Structured outputs: synthesizes findings by topic with clear source attributions, limitations, and actionable next steps.
  • Targeted exploration: supports parallel exploration for large documentation sets, optimizing time-to-answer.

Quick Start

Use the docs-seeker skill to locate llms.txt, analyze the repository, and synthesize a structured documentation report for a target library.

Frequently Asked Questions about docs-seeker

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

FAQPage Schema
What is the best way to compare library versions and find migration notes?▼

Yes, parallel exploration is supported for large documentation sets to optimize time-to-answer, allowing you to aggregate multi-source references efficiently across complex tech stacks.

Does documentation discovery work when llms.txt is missing from a repository?▼

Documentation discovery works when llms.txt is missing by falling back to repository analysis via Repomix or Researcher agents, ensuring multi-source aggregation still synthesizes the required references.

How do I aggregate multi-source references for a complex tech stack?▼

You aggregate multi-source references for a complex tech stack by applying structured frontmatter-driven discovery, synthesizing findings by topic with clear source attributions, limitations, and actionable next steps.

What are the limitations of parallel exploration for large documentation sets?▼

Limitations of parallel exploration involve the need to synthesize structured outputs with clear source attributions and acknowledge specific limitations, ensuring actionable next steps are documented for complex tech stacks.

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