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luan-thnh
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docs-seeker

Detect topics, fetch llms.txt from context7.com, and analyze results for documentation.

Updated Jan 31, 2026
Search Tags:#automation#documentation#docs#llms.txt#context7#repository-analysis#topic-detection
One-click install
npx skills add https://github.com/luan-thnh/hrm-auto-extension --skill docs-seeker-luan-thnh
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: docs-seeker
Source: https://github.com/luan-thnh/hrm-auto-extension/tree/main/.opencode/skills/docs-seeker
Command: npx skills add https://github.com/luan-thnh/hrm-auto-extension --skill docs-seeker-luan-thnh

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

The docs-seeker skill provides a script-driven workflow to discover relevant technical documentation quickly by performing topic detection, fetching llms.txt sources from context7.com, and analyzing results to surface targeted sources.

Core Features & Use Cases

  • Script-first discovery: detect-topic, fetch-docs, and analyze-llms-txt orchestrate documentation retrieval.
  • Topic-specific and general queries: surfaces precise docs for features, libraries, and repo analyses; supports fallback chains to ensure coverage.
  • Automated agent distribution planning: analyzes llms.txt results to suggest how many agents to deploy for documentation gathering.

Quick Start

Ask a question about a library or feature and let the scripts detect topic, fetch topic-specific llms.txt, and analyze the results to surface targeted documentation.

Frequently Asked Questions about docs-seeker

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

FAQPage Schema
How do I find specific library documentation automatically using llms.txt?▼

You can find library documentation automatically by running a script-first workflow that detects topics from your query, fetches llms.txt from context7.com, and analyzes the results. This surfaces targeted sources like installation guides and API references.

What is the best way to discover API references and tutorials for a repository?▼

The best way to discover API references is through automated repository analysis. When topic-specific or general llms.txt docs are unavailable, the Skill triggers a fallback to analyze the repository directly and surface relevant tutorials.

Can I use this for general library inquiries if I don't have a specific topic?▼

Yes, you can use this for general library inquiries. The workflow performs topic detection on your query, generates a topic URL, and automatically falls back to fetching a general URL if topic-specific documentation is unavailable.

How does the automated agent distribution planning work for documentation gathering?▼

Automated agent distribution planning works by analyzing the fetched llms.txt results to suggest how many agents to deploy for gathering documentation. This optimizes the retrieval process across the discovered sources.

What happens when topic-specific documentation is not available?▼

When topic-specific documentation is not available, the script-first workflow executes an automatic fallback chain. It transitions from topic URL generation to general URLs, and ultimately performs repository analysis to ensure coverage.

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