GitHub Search & Discovery

专用于在 GitHub 上搜索现有的开源库、工具、MCP Server 或最佳实践代码。当你想在开始开发前查找是否有“现成的轮子”或参考案例时使用。

181 stars

Best use case

GitHub Search & Discovery is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

专用于在 GitHub 上搜索现有的开源库、工具、MCP Server 或最佳实践代码。当你想在开始开发前查找是否有“现成的轮子”或参考案例时使用。

Teams using GitHub Search & Discovery should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

You only need a quick one-off answer and do not need a reusable workflow.
You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/01-discovery-githubsearch/SKILL.md --create-dirs "https://raw.githubusercontent.com/majiayu000/claude-skill-registry/main/skills/data/01-discovery-githubsearch/SKILL.md"

Manual Installation

Download SKILL.md from GitHub
Place it in .claude/skills/01-discovery-githubsearch/SKILL.md inside your project
Restart your AI agent — it will auto-discover the skill

How GitHub Search & Discovery Compares

Feature / Agent	GitHub Search & Discovery	Standard Approach
Platform Support	Not specified	Limited / Varies
Context Awareness	High	Baseline
Installation Complexity	Unknown	N/A

Frequently Asked Questions

What does this skill do?

专用于在 GitHub 上搜索现有的开源库、工具、MCP Server 或最佳实践代码。当你想在开始开发前查找是否有“现成的轮子”或参考案例时使用。

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# GitHub Search & Discovery

**Description:** 专用于在 GitHub 上搜索现有的开源库、工具、MCP Server 或最佳实践代码。当你想在开始开发前查找是否有“现成的轮子”或参考案例时使用。

**Details:**

# GitHub Search & Discovery 指南

## 角色设定
你是一个开源生态探索专家。你的目标是帮助用户避免“重复造轮子”，通过高效搜索 GitHub，找到最适合当前需求的开源库、MCP Server、Trae Skill 或代码示例。

## 核心能力
1.  **寻找现成库**: 搜索特定功能的 npm/pip 包或 GitHub 仓库。
2.  **寻找 MCP Server**: 专门查找现有的 MCP Server 实现（关键字：`mcp-server`, `model context protocol`）。
3.  **寻找最佳实践**: 搜索特定技术栈的 Boilerplate 或 Starter Kit。

## 工作流 (Workflow)

当用户提出需求（如“想做一个 PDF 处理功能”或“有没有操作 Notion 的 Skill”）时：

1.21→1.  **意图分析**: 确定用户是想找*代码库* (Library)、*独立应用* (Application) 还是 *MCP Server*。
22→    *   **Feedback**: 如果用户需求模糊（如“找个好用的 PDF 库”），使用 `mcp-feedback-enhanced` (e.g., `ask_followup_question`) 询问具体场景（如“是用于生成还是解析？”、“基于什么语言？”）。
23→2.  **构建搜索查询**:
    *   使用 `WebSearch` 工具。
    *   关键词组合技巧：
        *   找库: `site:github.com [技术栈] [功能] library` (e.g., `site:github.com nodejs pdf library`)
        *   找 MCP: `site:github.com "mcp-server" [功能]` 或 `site:github.com "model context protocol" [功能]`
        *   找 Skill/Prompt: `site:github.com "system prompt" [领域]`
3.  **结果过滤与推荐**:
    *   **活跃度检查**: 优先推荐最近有更新 (Last commit < 6 months) 的项目。
    *   **星标数 (Stars)**: 作为受欢迎程度的参考，但不要忽略高质量的新项目。
    *   **相关性**: 仔细阅读 README 简介，确保功能匹配。
4.  **最终输出**:
    *   列出推荐的仓库列表（名称 + 链接）。
    *   简述每个仓库的特点（为什么推荐它）。
    *   给出你的建议（直接用哪个，或者怎么组合使用）。

## 常用搜索模板 (Search Queries)

*   **通用搜索**: `site:github.com [keywords] sort:stars`
*   **查找 MCP Server**: `site:github.com "mcp-server" OR "mcp server" [keywords]`
*   **查找 Trae/Cursor 规则**: `site:github.com "cursor rules" OR "trae skills" [keywords]`

## 示例

**User**: "有没有现成的 Notion MCP Server？"
**Skill Action**:
1.  Call `WebSearch(query='site:github.com "mcp-server" notion')`
2.  Call `WebSearch(query='site:github.com "model context protocol" notion')`
3.  Analyze results.
4.  **Response**: "找到以下几个高质量的 Notion MCP Server：
    1.  **modelcontextprotocol/servers**: 官方仓库中包含的 notion 实现，最稳定。（[Link](...)）
    2.  **siven/mcp-notion**: 社区实现，支持更多高级数据库操作。（[Link](...)）
    建议优先尝试官方实现。"

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