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ck:docs-seeker

Detect topics, retrieve library docs, and analyze results into prioritized plans.

Updated Feb 27, 2026
Search Tags:#documentation#llms.txt#context7#api-docs#web-fetch#repository-analysis#documentation-discovery
One-click install
npx skills add https://github.com/haidonglethqb/CloudSchool --skill ck-docs-seeker-haidonglethqb
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ck:docs-seeker
Source: https://github.com/haidonglethqb/CloudSchool/tree/main/.qwen/skills/docs-seeker
Command: npx skills add https://github.com/haidonglethqb/CloudSchool --skill ck-docs-seeker-haidonglethqb

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Documentation discovery for libraries and frameworks is often slow and noisy. This skill orchestrates topic detection, docs retrieval, and analysis to deliver concise, relevant references.

Core Features & Use Cases

  • Topic-aware lookup: finds documentation specific to a library and topic.
  • Automated workflows: runs detection, fetch, and analysis in sequence with automatic fallbacks.
  • Insights for teams: produces a prioritized list of docs and a recommended agent distribution.

Quick Start

Run detect-topic.js with your query, then fetch-docs.js to gather llms.txt, and finally analyze-llms-txt.js to get a mapped, prioritized plan.

Frequently Asked Questions about ck:docs-seeker

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

FAQPage Schema
How do I find specific library documentation without retrieving noisy web pages?▼

Finding specific library documentation without noise involves orchestrating topic detection, doc retrieval, and analysis to deliver concise, relevant references for AI context.

What is the best way to use llms.txt for fetching API documentation?▼

Using llms.txt for fetching API documentation runs an automated workflow that detects topics, gathers the text, and analyzes it to produce a mapped, prioritized plan.

How do I get targeted documentation for a specific library topic using context7?▼

Getting targeted documentation for a specific library topic using context7 executes a sequence of scripts that fetch docs and analyze the retrieved text to output structured results.

What happens when library documentation discovery fails to find relevant results?▼

When library documentation discovery fails to find relevant results, the process applies automatic fallbacks to repository analysis to ensure you still get structured documentation insights.

Does this documentation discovery workflow require external dependencies?▼

This documentation discovery workflow requires no external dependencies, using built-in scripts to orchestrate topic detection, web-fetch retrieval, and analysis for agent distribution.

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