Individual skill
docs-seeker
Searching internet for technical documentation using llms.txt standard, GitHub repositories via Repomix, and parallel exploration. Use when user needs: (1) Latest documentation for libraries/frameworks, (2) Documentation in llms.txt format, (3) GitHub repository analysis, (4) Documentation without direct llms.txt support, (5) Multiple documentation sources in parallel
skills/engineering/docs-seeker/SKILL.md
Source commit 1c04afc2a760ed58cea1308851e7626f76c4ff44
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- No
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Not checked yet
- Last checked
- Nov 6, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
Install this skill
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An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.
Repository context
- Repository stars (not skill ratings)
- 27
- Repository last updated
- Oct 24, 2026
- License
- Apache-2.0
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- claude-code Repository topic
- agent-skills Repository topic
- agentic-workflow Repository topic
- skill-md Repository topic
- ai-agent Repository topic
- ai-workflows Repository topic
- codex Repository topic
- coding-agent Repository topic
- developer-tools Repository topic
- gemini-cli Repository topic
- docs Derived category
Files and excerpt
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Browse files
SKILL.mdcore · 7,520 bytesSKILL.mdcore · 7,520 bytesWORKFLOWS.mddoc · 13,282 bytesreferences/best-practices.mddoc · 13,579 bytesreferences/documentation-sources.mddoc · 8,920 bytesreferences/error-handling.mddoc · 12,706 bytesreferences/limitations.mddoc · 17,307 bytesreferences/performance.mddoc · 11,578 bytesreferences/tool-selection.mddoc · 6,431 bytes
Read excerpt
# Documentation Discovery & Analysis
## Overview
Intelligent discovery and analysis of technical documentation through multiple strategies:
1. **llms.txt-first**: Search for standardized AI-friendly documentation
2. **Repository analysis**: Use Repomix to analyze GitHub repositories
3. **Parallel exploration**: Deploy multiple Explorer agents for comprehensive coverage
4. **Fallback research**: Use Researcher agents when other methods unavailable
## Core Workflow
### Phase 1: Initial Discovery