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context7-auto-research skill

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This skill automatically researches Context7 documentation for code generation, configuration steps, or library references to ensure up-to-date, authoritative

npx playbooks add skill hhhh124hhhh/godot-mcp --skill context7-auto-research

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SKILL.md

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---
name: Context7 Auto Research
description: 自动使用Context7进行文档研究，当用户需要代码生成、配置步骤或库/API文档时无需明确请求即可自动获取最新信息
version: 1.0.0
---

# Context7 自动化研究技能

## 指令

当用户输入包含以下关键词时，自动触发Context7文档研究：

### 中文触发条件
- "如何实现"、"怎么写" → 自动查询实现方案
- "配置"、"设置" → 自动获取配置指南
- "文档"、"参考" → 自动检索官方文档

### 执行步骤
1. 检测触发条件
2. 生成Context7查询
3. 执行文档检索
4. 整合信息并提供解决方案

## 注意事项
- 确保查询的针对性和准确性
- 验证信息来源的权威性
- 提供足够的上下文信息

Overview

This skill automates document research using Context7 so you get up-to-date implementation guidance, configuration steps, or library/API references without asking explicitly. It watches for intent signals in user input and proactively retrieves and synthesizes authoritative documentation to produce concise, actionable answers. The goal is faster, more accurate developer support for code generation and setup tasks.

How this skill works

The skill scans user messages for trigger keywords that indicate implementation, configuration, or documentation needs. When a trigger is detected it formulates targeted Context7 queries, performs documented-source retrieval, and synthesizes the results into a clear solution or step-by-step instructions. It validates source authority and includes relevant context like code snippets, configuration blocks, and links to original docs.

When to use it

When a user asks how to implement a feature or requests sample code
When a user asks about configuration, setup, or environment steps
When a user requests API, library, or reference documentation
When up-to-date external docs are required for code generation or debugging
When quick synthesis of multiple documentation sources is needed

Best practices

Detect precise intent from the user message to narrow the query.
Prioritize official docs, changelogs, and release notes for accuracy.
Include minimal, runnable code snippets and explicit config examples.
State assumptions and environment details (language, versions, platforms).
Cite or link original sources so users can verify and follow up.

Example use cases

User asks “how to implement multiplayer lobby in Godot” and receives a researched implementation plan with sample TypeScript code.
User requests “how to configure OAuth for a backend service” and gets step-by-step config and required env variables.
User asks for “library X API reference” and receives a summarized API surface, common methods, and usage examples.
User needs code generation for a specific framework version; the skill retrieves compatibility notes and sample code.

FAQ

How does the skill choose sources?

It prioritizes official documentation, recent changelogs, and high-authority references, and flags less-authoritative sources for review.

Will it change user intent or code automatically?

No. It suggests researched solutions and code snippets but preserves user control; edits are recommended, not forced.