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ck-docs-seeker

Search library/framework documentation via llms.txt (context7.com). Use for API docs, GitHub repository analysis, technical documentation lookup, latest library features.

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phuc-nt/my-translator
최근 소스 활동
2026년 5월 9일 17:04
감지된 SKILL.md 언어
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1,300
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410

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기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.

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설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.

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SKILL.md 표시 중

SKILL.md
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name
ck:docs-seeker
description
Search library/framework documentation via llms.txt (context7.com). Use for API docs, GitHub repository analysis, technical documentation lookup, latest library features.
argument-hint
[library-name] [topic]
metadata
{"author":"claudekit","version":"3.1.0"}
# Documentation Discovery via Scripts ## Overview **Script-first** documentation discovery using llms.txt standard. Execute scripts to handle entire workflow - no manual URL construction needed. ## Primary Workflow **ALWAYS execute scripts in this order:** ```bash # 1. DETECT query type (topic-specific vs general) node scripts/detect-topic.js "<user query>" # 2. FETCH documentation using script output node scripts/fetch-docs.js "<user query>" # 3. ANALYZE results (if multiple URLs returned) cat llms.txt | node scripts/analyze-llms-txt.js - ``` Scripts handle URL construction, fallback chains, and error handling automatically. ## Scripts **`detect-topic.js`** - Classify query type - Identifies topic-specific vs general queries - Extracts library name + topic keyword - Returns JSON: `{topic, library, isTopicSpecific}` - Zero-token execution **`fetch-docs.js`** - Retrieve documentation - Constructs context7.com URLs automatically - Handles fallback: topic → general → error - Outputs llms.txt content or error message - Zero-token execution **`analyze-llms-txt.js`** - Process llms.txt - Categorizes URLs (critical/important/supplementary) - Recommends agent distribution (1 agent, 3 agents, 7 agents, phased) - Returns JSON with strategy - Zero-token execution ## Workflow References **[Topic-Specific Search](./workflows/topic-search.md)** - Fastest path (10-15s) **[General Library Search](./workflows/library-search.md)** - Comprehensive coverage (30-60s) **[Repository Analysis](./workflows/repo-analysis.md)** - Fallback strategy ## References **[context7-patterns.md](./references/context7-patterns.md)** - URL patterns, known repositories **[errors.md](./references/errors.md)** - Error handling, fallback strategies **[advanced.md](./references/advanced.md)** - Edge cases, versioning, multi-language ## Execution Principles 1. **Scripts first** - Execute scripts instead of manual URL construction 2. **Zero-token overhead** - Scripts run without context loading 3. **Automatic fallback** - Scripts handle topic → general → error chains 4. **Progressive disclosure** - Load workflows/references only when needed 5. **Agent distribution** - Scripts recommend parallel agent strategy ## Quick Start **Topic query:** "How do I use date picker in shadcn?" ```bash node scripts/detect-topic.js "<query>" # → {topic, library, isTopicSpecific} node scripts/fetch-docs.js "<query>" # → 2-3 URLs # Read URLs with WebFetch ``` **General query:** "Documentation for Next.js" ```bash node scripts/detect-topic.js "<query>" # → {isTopicSpecific: false} node scripts/fetch-docs.js "<query>" # → 8+ URLs cat llms.txt | node scripts/analyze-llms-txt.js - # → {totalUrls, distribution} # Deploy agents per recommendation ``` ## Environment Scripts load `.env`: `process.env` > `.opencode/skills/docs-seeker/.env` > `.opencode/skills/.env` > `.opencode/.env` See `.env.example` for configuration options.
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