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context7-auto-research 精选

Automatically fetch latest library/framework documentation for Claude Code via Context7 API

在 GitHub 打开

安装方式

cp -r cli-tool/components/skills/ai-research/context7-auto-research ~/.claude/skills/context7-auto-research

把该 skill 目录放进客户端 skills 目录。不同客户端的目录可能不同,Claude Code 默认是 ~/.claude/skills/

整仓一次性获取:git clone --depth 1 https://github.com/davila7/claude-code-templates.git

依赖与权限

  • 需要 API Key —— 使用前需配置相应的密钥环境变量
  • 需要联网访问外部服务
  • 依赖外部命令:npx
  • 以上为按正文与 frontmatter 自动推断的信号,仅供参考;安装前建议先阅读原文。

SKILL.md 正文

来源 davila7/claude-code-templates@b84033e · 许可 MIT · 内容未修改

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

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 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

质量与来源

所属仓库
davila7/claude-code-templates
仓库星标
3.3 万
最近更新
今天
采集时间
今天
commit
b84033e51002
内容指纹
sha256:5686421a71e52d9
文件路径
cli-tool/components/skills/ai-research/context7-auto-research/SKILL.md

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Comprehensive OWASP-aligned security guidance across six standards - Top 10 (2021) for web apps, ASVS 5.0, MASVS v2.1.0 for mobile, API Security Top 10 (2023), Kubernetes Top 10 (2022), and the Agentic Applications 2026 edition for AI/LLM. Use for security reviews, vulnerability audits, secure auth/crypto/access-control implementation, Kubernetes manifest hardening, and LLM/agent prompt-injection defense - including indirect requests like "is this login flow secure?", "review this endpoint", or "audit my pod spec".
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agent-management
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agent-messaging
Send and receive cryptographically signed messages between AI agents using the Agent Messaging Protocol (AMP). Use when the user asks to "send a message to an agent", "check agent inbox", "message another agent", "reply to a message", "notify an agent", or any inter-agent communication task.
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docs-search
Search auto-generated codebase documentation for function signatures, API docs, class definitions, and code comments. Use when the user asks to "search docs", "find documentation", "look up a function", "check the API", or before implementing changes to verify correct signatures and patterns.
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graph-query
Query the code graph database to understand component relationships, dependencies, and change impact. Use when the user asks to "find callers", "check dependencies", "what uses this", "show relationships", "find serializers", or when reading code and needing to understand what depends on a component before modifications.
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memory-search
Search conversation history and semantic memory to recall previous discussions, decisions, and context. Use when the user asks to "search memory", "what did we discuss", "remember when", "find previous conversation", "check history", or before starting work to recall prior decisions.
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