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mcp-to-skillMCP TO 技能

Agent Skill

mcp-to-skill 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

912

周安装

38

GitHub Stars

14

下载量

304
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

3

许可证

MIT

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:mcp-to-skill(MCP TO 技能)
来源仓库:https://github.com/bahayonghang/my-claude-code-settings
仓库路径:skills/mcp-to-skill
安装命令:
npx skills add https://github.com/bahayonghang/my-claude-code-settings --skill mcp-to-skill
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/bahayonghang/my-claude-code-settings --skill mcp-to-skill

简介

mcp-to-skill 将 MCP 服务器转换为 Claude Code 技能包以便分发。

  • 自动提取工具、资源与提示定义,生成标准化 skill.json。
  • 需分析 package.json 与源码注册逻辑以准确映射接口。
  • 输出包含依赖清单与示例调用,便于下游集成与调试。
  • 依赖 Python 脚本与 Node.js 环境,跨平台兼容性需单独测试。

SKILL.md

MCP to Skill Converter

Convert MCP servers into Claude Code Skills for easier distribution and usage.

Conversion Workflow

Step 1: Analyze MCP Server

Run the analysis script to extract tool/resource/prompt definitions:

python3 scripts/analyze_mcp.py /path/to/mcp-project --pretty

The script outputs JSON with: tools, resources, prompts, mcp_sdks, dependencies.

For manual analysis, inspect these key files:

  • package.json / pyproject.toml — dependencies and entry point
  • src/index.ts / main.py — server setup, tool/resource/prompt registration
  • Source files — implementation details

Step 2: Map MCP Components to Skill Structure

Map all three MCP primitives:

MCP PrimitiveSkill Equivalent
Toolscripts/ executable or instruction section
Resourcereferences/ markdown file (static) or script (dynamic)
PromptWorkflow instruction section in SKILL.md

For the complete mapping table and conversion patterns, see references/MAPPING.md.

Step 3: Choose Conversion Pattern Per Tool

For each MCP tool, pick the right pattern:

  • Pattern A (Script): Complex logic, API calls, error handling → scripts/tool_name.py
  • Pattern B (Instruction): Simple commands, no deps → inline in SKILL.md
  • Pattern C (Hybrid): Tools requiring server runtime → setup instructions + MCP connection

Decision: Can it run standalone? → A or B. Is it trivial? → B. Needs server state? → C.

For detailed pattern descriptions and examples, see references/MAPPING.md. For real-world conversion case studies, see references/EXAMPLES.md.

Step 4: Generate Skill Structure

{skill-name}/
├── SKILL.md                    # Core instructions
├── scripts/
│   └── {tool_name}.{ext}      # Pattern A tool scripts
├── references/
│   └── {topic}.md             # MCP Resources → reference docs
└── config/
    └── secrets.example.md     # Required env vars / API keys

Step 5: Write SKILL.md

---
name: {skill-name}
description: |
  {Original MCP server description}. Use when:
  (1) {Primary use case from tool descriptions}
  (2) {Secondary use case}
---

# {Skill Name}

{Brief description}

## Prerequisites

{Setup: permissions, API keys, runtime requirements}
Required environment variables: (list from MCP server's .env / config)

## Tools

### {Tool Name}
{Description, usage, parameters, example}

Step 6: Handle Secrets & Environment Variables

  • Never include actual secrets in skill files
  • Create config/secrets.example.md listing all required env vars with descriptions
  • Document minimum required scopes/permissions in Prerequisites
  • See references/MAPPING.md § "Secrets & Environment Variables" for patterns

Step 7: Verify the Converted Skill

Before packaging, run through this checklist:

  • SKILL.md has proper frontmatter (name, description with triggers)
  • All MCP Tools are documented with usage instructions
  • All MCP Resources are converted to references/ files
  • All MCP Prompts are converted to workflow sections
  • Scripts are executable (chmod +x) and tested standalone
  • config/secrets.example.md exists if env vars are needed
  • No content duplication between SKILL.md and references
  • No unnecessary files (README, CHANGELOG, LICENSE, etc.)

Test the skill by:

  1. Installing it to a test platform directory
  2. Invoking each tool/instruction manually
  3. Verifying scripts handle missing args and errors gracefully

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

04

需要参考平台分布和安装热度时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Claude Code

26.04%
按下载量换算79

windsurf

25.25%
按下载量换算77

OpenCode

16.44%
按下载量换算50

Codex

13.85%
按下载量换算42

Antigravity

7.12%
按下载量换算22

Gemini CLI

3.87%
按下载量换算12

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。

来源信息

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