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Prompts Context7 Auto Research for Libraries

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

  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
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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