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📊 公开数据一览

📦 榜单安装量234
⭐ GitHub Stars63(fork 18)
🗓️ 最近推送2026-07-18
🌱 项目创建2025-11-21
💻 语言 / LicensePython · MIT
🐛 开放Issue0

📝 工具简介

精选的Claude Code技能合集,支持渐进式加载和工具链检测的智能项目开发。

📖 怎么用

安装用 `pip install claude-mpm` 或 `brew tap bobmatnyc/tools && brew install claude-mpm`,源码装就 `git clone https://github.com/bobmatnyc/claude-mpm.git`。进项目目录跑 `cd your-project && /mpm-init` 初始化,然后 `/mpm-auto-configure` 自动检测技术栈部署技能,或 `/mpm-agents-auto-configure` 自动配置 agent。装完在 Claude Code 里用,覆盖 Python、TypeScript、Go 等 174 个技能。

📋 迷你测评

精选的Claude Code技能合集,支持渐进式加载和工具链检测。亮点是能根据当前环境自动适配加载策略。适合需要灵活处理媒体文件的开发工作流。

📄 README 要点

这个仓库是给Claude Code的MPM(多智能体项目管理)框架准备的生产级技能包,一共收集了174个技能,覆盖Python、TypeScript、JavaScript、Golang、PHP、Rust、Elixir等主流语言,还有AI和通用工具链,覆盖面超过95%。它的核心价值在于让Claude Code能实现多智能体协作——比如研究、工程、QA、运维各司其职,项目经理代理负责调度,通过模块化技能库来高效管理上下文和token。简单说,就是给Claude Code装上各种专业“插件”,让它能更聪明地处理复杂开发任务。适合重度使用Claude Code做项目开发、想要系统化提升AI编码效率的开发者。

查看英文原文
Claude MPM Skills Production ready Claude Code skills for intelligent project development Overview This repository contains a comprehensive collection of 174 Claude Code skills designed for the Claude Multi Agent Project Manager (MPM) ecosystem. Skills cover modern development workflows with 95%+ coverage across Python, TypeScript, JavaScript, Golang, PHP, Rust, Elixir, AI, and universal tooling. What is Claude MPM? Claude MPM (Multi Agent Project Manager) is an advanced orchestration framework that runs within Claude Code (Anthropic's official CLI). It enables: Multi Agent Coordination : Specialized agents for different tasks (research, engineering, QA, ops) Intelligent Delegation : PM agent coordinates work across specialist agents Context Management : Efficient token usage with progressive disclosure Skill System : Modular, reusable knowledge bases (this repository) Key Components: Claude Code : Anthropic's official CLI environment Claude MPM : Multi agent framework running in Claude Code Skills : Domain specific knowledge modules (this repo contains 174 skills) How They Work Together: [安装/使用命令见下方] Features Progressive Loading : Skills load on demand with compact entry points, expanding to full references when needed Token Efficiency : 87% token savings during discovery phase Toolchain Detection : Automatically deploy relevant skills based on project type Production Ready : All skills include real world examples, best practices, and troubleshooting Research Backed : Built on latest 2025 techniques and industry patterns Quick Stats Total Skills : 174 production ready skills Coverage : 95%+ of modern development workflows Token Efficiency : 66.7k entry tokens vs 512.4k full tokens ( 87% savings) Categories : Python, TypeScript, JavaScript, Golang, PHP, Rust, Elixir, Next.js, UI, AI, Platforms, Universal Complete Stacks : Full stack TypeScript, Python Web, React Frontend, AI Workflows Repository Structure [安装/使用命令见下方] Complete Skill Catalog Python (11 Skills) Framew

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数据来源:skills.sh 榜单 + GitHub 公开数据,非人工实测,仅供参考