agent research skill risk: low
Context7 Auto Research for Libraries
This prompt describes a skill that installs via npx and automatically fetches up-to-date library/framework documentation through the Context7 API when discussing React, Next.js, Pr…
- External action: medium
SKILL 1 file
SKILL.md
--- name: antigravity-awesome-skills-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.
OPTIONAL CONTEXT
- API key via environment variables
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
- markdown
- Constraints
- include installation command
- list when to use the skill
- reference GitHub repo for examples and troubleshooting
CAVEATS
- Missing context
- Exact API key configuration steps
- Concrete usage examples
- Definition of auto-trigger feature
- Ambiguities
- See GitHub Repository for examples.
- See the GitHub repository for troubleshooting guides.
- Configure API key (optional, see GitHub repo for details)
QUALITY
- OVERALL
- 0.45
- CLARITY
- 0.75
- SPECIFICITY
- 0.45
- REUSABILITY
- 0.25
- COMPLETENESS
- 0.35
IMPROVEMENT SUGGESTIONS
- Replace external GitHub references with inline examples and configuration steps.
- Add explicit success criteria or output format expectations.
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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