agent coding skill risk: low
Context7 Library Documentation Auto Fetcher
This prompt describes a skill that automatically fetches latest library and framework documentation via the Context7 API for use in Claude Code, with installation steps, usage guid…
- External action: low
SKILL 1 file
SKILL.md
--- name: context7-auto-research description: "Automatically fetch latest library/framework documentation for Claude Code via Context7 API. Use when you need up-to-date documentation for libraries and frameworks or asking about React, Next.js, Prisma, or any other popular library." --- # context7-auto-research ## Overview Automatically fetch latest library/framework documentation for Claude Code via Context7 API ## When to Use - When you need up-to-date documentation for libraries and frameworks - When asking about React, Next.js, Prisma, or any other popular library ## Installation ```bash npx skills add -g BenedictKing/context7-auto-research ``` ## Step-by-Step Guide 1. Install the skill using the command above 2. Configure API key (optional, see GitHub repo for details) 3. Use naturally in Claude Code conversations ## Examples See [GitHub Repository](https://github.com/BenedictKing/context7-auto-research) for examples. ## Best Practices - Configure API keys via environment variables for higher rate limits - Use the skill's auto-trigger feature for seamless integration ## Troubleshooting See the GitHub repository for troubleshooting guides. ## Related Skills - tavily-web, exa-search, firecrawl-scraper, codex-review ## Limitations - Use this skill only when the task clearly matches the scope described above. - Do not treat the output as a substitute for environment-specific validation, testing, or expert review. - Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.
REQUIRED CONTEXT
- user query about a library or framework
TOOLS REQUIRED
- context7_api
ROLES & RULES
- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.
EXPECTED OUTPUT
- Format
- unknown
CAVEATS
- Missing context
- Exact trigger phrases or detection rules for auto-research activation.
- Output format or integration method with Claude Code.
- Ambiguities
- Examples section only links externally without any inline usage examples.
- API key configuration described as 'optional, see GitHub repo' without any details.
QUALITY
- OVERALL
- 0.65
- CLARITY
- 0.75
- SPECIFICITY
- 0.65
- REUSABILITY
- 0.55
- COMPLETENESS
- 0.60
IMPROVEMENT SUGGESTIONS
- Replace external links in Examples and Troubleshooting with at least one self-contained usage example.
- Add a short 'Input format' section specifying how library names or queries should be passed.
USAGE
Copy the prompt above and paste it into your AI of choice — Claude, ChatGPT, Gemini, or anywhere else you're working. Replace any placeholder sections with your own context, then ask for the output.
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