Cadence Skills: Coding Workflows for AI Agents | OpenAgentSkill

Overview

A Claude Code skills collection that structures AI-assisted coding into a multi-agent workflow with design approval, TDD planning, and autonomous execution.

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Cadence

Cadence 是一个基于 Claude Code Skills 的多 Agent 协作系统，为 AI 编码助手提供完整的软件开发工作流程。

如何工作

Cadence 从你启动编码助手的那一刻开始工作。当它发现你正在构建某样东西时，它不会直接跳进去写代码，而是退后一步，问你真正想做什么。

一旦通过对话明确了需求，它会分块展示设计，让你能够真正阅读和理解。

在你批准设计后，你的助手会制定一个清晰的实现计划，强调真正的红/绿 TDD、YAGNI（你不会需要它）和 DRY。

接下来，一旦你说"开始"，它会启动一个多 Agent 协作流程，让 Agents 通过每个工程任务，检查和审查他们的工作，继续前进。Claude 通常能够自主工作几个小时，而不会偏离你制定的计划。

还有更多功能，但这是系统的核心。而且因为 Skills 会自动触发，你不需要做任何特别的事情。你的编码助手就拥有了节奏（Cadence）。

写在安装之前

模型使用说明：本项目默认会使用 MiniMax 做测试，尽可能保证 MiniMax-M2.5-highspeed 模型可以基本使用。

推荐优先级：Claude Opus > GLM-5（速度较慢）> MiniMax-M2.5-highspeed

模型推荐

国内模型（推荐）

1. GLM-5（智谱 AI）

✨ 开源 SOTA 表现：Coding 和 Agent 能力达到开源模型顶尖水平
🚀 逼近 Opus 性能：真实编程场景使用体感逼近 Claude Opus 4.5
🎯 擅长复杂工程：专为复杂系统工程与长程 Agent 任务设计
💰 高性价比：744B MoE 架构，每次推理仅激活约 10B 参数，成本更低
🇨🇳 国产芯片适配：对国产芯片适配良好，摆脱海外算力依赖

2. MiniMax M2.5

⚡ 极速推理：100 TPS 输出速度，是主流模型的 2 倍
💎 顶尖编程能力：核心编码能力与海外顶尖闭源模型持平
💸 超高性价比：价格仅为主流旗舰模型的十分之一，支持本地部署
🔧 Agent 原生设计：专为 Agent 场景和工程效率优化
🌍 多语言优势：在多语言编码、推理速度、使用成本上具备显著优势

海外模型（可选）

1. Claude Opus 4.6

👑 最强编程能力：终端编码、代理搜索、抽象推理等极端复杂场景的王者
📚 100 万 Token 上下文：处理超大规模代码库和文档集（Beta）
🎯 长时程 Agent：为长时程自主任务设计，可工作数小时
🔍 深度推理：扩展思考模式，适合需要深度逻辑推理的任务

2. Claude Sonnet 4.6

⚖️ 最佳性价比：性能接近 Opus 4.6，价格仅五分之一
🎨 多模态能力强：在多模态识别与办公任务中表现优异
💻 编程能力出色：代码修改更精准，支持 100 万 Token 上下文（Beta）
🚀 全面升级：编码、计算机使用、长上下文推理、代理规划全面增强

Claude Code 安装方式

方式 1：官网安装（海外用户推荐）

访问 Claude Code 官网：https://claude.com/product/claude-code

方式 2：国内镜像安装（国内用户推荐）

国内镜像站

Claude-CN：https://www.claude-cn.org/
提供详细的国内镜像使用指南

方式 3：npm 安装

# 安装 Node.js（需要 18.0 以上版本）
# 然后全局安装 Claude Code
npm install -g @anthropic-ai/claude-code

方式 4：macOS Homebrew 安装

brew install claude-code

方式 5：Linux APT 安装

# 添加 Anthropic 仓库
curl -fsSL https://packages.anthropic.com/public/gpg.key | sudo apt-key add -
echo "deb https://packages.anthropic.com/public stable main" | sudo

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# Cadence

Cadence 是一个基于 Claude Code Skills 的多 Agent 协作系统，为 AI 编码助手提供完整的软件开发工作流程。

## 如何工作

Cadence 从你启动编码助手的那一刻开始工作。当它发现你正在构建某样东西时，它不会直接跳进去写代码，而是退后一步，问你真正想做什么。

一旦通过对话明确了需求，它会分块展示设计，让你能够真正阅读和理解。

在你批准设计后，你的助手会制定一个清晰的实现计划，强调真正的红/绿 TDD、YAGNI（你不会需要它）和 DRY。

接下来，一旦你说"开始"，它会启动一个多 Agent 协作流程，让 Agents 通过每个工程任务，检查和审查他们的工作，继续前进。Claude 通常能够自主工作几个小时，而不会偏离你制定的计划。

还有更多功能，但这是系统的核心。而且因为 Skills 会自动触发，你不需要做任何特别的事情。你的编码助手就拥有了节奏（Cadence）。

## 写在安装之前

**模型使用说明**：本项目默认会使用 MiniMax 做测试，尽可能保证 MiniMax-M2.5-highspeed 模型可以基本使用。

**推荐优先级**：Claude Opus > GLM-5（速度较慢）> MiniMax-M2.5-highspeed

### 模型推荐

#### 国内模型（推荐）

**1. GLM-5（智谱 AI）**
- ✨ **开源 SOTA 表现**：Coding 和 Agent 能力达到开源模型顶尖水平
- 🚀 **逼近 Opus 性能**：真实编程场景使用体感逼近 Claude Opus 4.5
- 🎯 **擅长复杂工程**：专为复杂系统工程与长程 Agent 任务设计
- 💰 **高性价比**：744B MoE 架构，每次推理仅激活约 10B 参数，成本更低
- 🇨🇳 **国产芯片适配**：对国产芯片适配良好，摆脱海外算力依赖

**2. MiniMax M2.5**
- ⚡ **极速推理**：100 TPS 输出速度，是主流模型的 2 倍
- 💎 **顶尖编程能力**：核心编码能力与海外顶尖闭源模型持平
- 💸 **超高性价比**：价格仅为主流旗舰模型的十分之一，支持本地部署
- 🔧 **Agent 原生设计**：专为 Agent 场景和工程效率优化
- 🌍 **多语言优势**：在多语言编码、推理速度、使用成本上具备显著优势

#### 海外模型（可选）

**1. Claude Opus 4.6**
- 👑 **最强编程能力**：终端编码、代理搜索、抽象推理等极端复杂场景的王者
- 📚 **100 万 Token 上下文**：处理超大规模代码库和文档集（Beta）
- 🎯 **长时程 Agent**：为长时程自主任务设计，可工作数小时
- 🔍 **深度推理**：扩展思考模式，适合需要深度逻辑推理的任务

**2. Claude Sonnet 4.6**
- ⚖️ **最佳性价比**：性能接近 Opus 4.6，价格仅五分之一
- 🎨 **多模态能力强**：在多模态识别与办公任务中表现优异
- 💻 **编程能力出色**：代码修改更精准，支持 100 万 Token 上下文（Beta）
- 🚀 **全面升级**：编码、计算机使用、长上下文推理、代理规划全面增强


### Claude Code 安装方式

#### 方式 1：官网安装（海外用户推荐）
访问 Claude Code 官网：https://claude.com/product/claude-code

#### 方式 2：国内镜像安装（国内用户推荐）

**国内镜像站**
- Claude-CN：https://www.claude-cn.org/
- 提供详细的国内镜像使用指南

#### 方式 3：npm 安装
```bash
# 安装 Node.js（需要 18.0 以上版本）
# 然后全局安装 Claude Code
npm install -g @anthropic-ai/claude-code
```

#### 方式 4：macOS Homebrew 安装
```bash
brew install claude-code
```

#### 方式 5：Linux APT 安装
```bash
# 添加 Anthropic 仓库
curl -fsSL https://packages.anthropic.com/public/gpg.key | sudo apt-key add -
echo "deb https://packages.anthropic.com/public stable main" | sudo

Review the source

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A repository listing is not proof of an installable skill. Review its instructions before proposing any installation.

Review before install: Avoid automatic install

License: MIT

Dependency or permission surface needs review
Permission surface may require sandboxing
Low GitHub adoption signal
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
GitHub adoption: 11 GitHub stars
Stars/forks activity: 11 stars, 3 forks; issue activity unavailable in current metadata
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution

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Source & usage notes

Indexed

Repository metadata and review signals are advisory. Popularity, source discovery and successful execution are different facts.

Source repository: michaelChe956/Cadence-skills
License: MIT
Version: 1.0.0
Last GitHub push: Aug 1, 2026
Registry updated: Sep 1, 2026
Instruction path: Source structure unverified

Version reported in registry metadata; check source releases before relying on it.

Quality

64/100

Promising

Trust

61/100

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