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Prompts Context7 Library Documentation Auto Fetcher

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

  1. Use this skill only when the task clearly matches the scope described above.
  2. Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
  3. 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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