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Cadence Skills

claude code skills for coding workflow

Precio sin confirmar★ 11 Estrellas de GitHubRegistro actualizado · 1 sept 2026claude-code multi-agent workflow

Resumen

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

Leer documentación completa

Documentación de origen, no instrucciones para este sitio. Revisa los permisos antes de ejecutar comandos.

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

Ver fuente ↗

Ver texto original

# 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

Revisar el código fuente

Precio y costes de ejecución

Obtener el skill: Precio sin confirmar
Ejecutarlo: Requisitos sin confirmar. Consulta los costes del agente, API y servicios en la fuente.
Licencia: MIT
Precio sin confirmar: No hemos confirmado el precio. Los enlaces existentes al código y a la instalación siguen disponibles.

Obtener gratis no significa ejecutar gratis. El precio no es una evaluación de seguridad. Enviar información de precio →

Estructura sin verificar

Publicar un repositorio no demuestra que sea un skill instalable. Revisa las instrucciones antes de proponer una instalación.

Revisar antes de instalar: Evitar instalación automática

Licencia: 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

Abrir auditoría completa

Las herramientas son indicios de metadatos, no compatibilidad probada. Los prompts son sugerencias.

Empieza con una tarea pequeña

1Lee la fuente y confirma entradas, resultados, dependencias y permisos.
2Pide un plan al agente. Aprueba la configuración y los costes antes de probar en un entorno aislado.
3Comprueba resultados y archivos modificados. Informa solo de lo ejecutado y conserva la revisión de la fuente.

Consulta dependencias, claves API y costes externos en la fuente. Un repositorio público no implica servicios gratuitos.

Fuente y notas de uso

Indexado

Los metadatos y revisiones son orientativos. Popularidad, descubrimiento y ejecución correcta son hechos distintos.

Repositorio fuente: michaelChe956/Cadence-skills
Licencia: MIT
Versión: 1.0.0
Último push de GitHub: 1 ago 2026
Registro actualizado: 1 sept 2026
Ruta de instrucciones: Estructura sin verificar

Versión declarada en el registro; consulta las versiones de la fuente.

Calidad

64/100

Prometedor

Confianza

61/100

Solo sandbox

Auditoría

74/100

Requiere revisión

Abrir auditoría completa Ver informe de evaluación

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

Verified installs: —
Resultados: —

Copiar no es instalar. Los recuentos requieren un informe de instalación correcta, no garantizan calidad general.

Acceso para agentes

La API Registry expone señales de decisión, confianza, auditoría, casos de uso e instalación sin raspar la interfaz.

Abrir API de instalación Formato de texto LLM Abrir Manifest Plan de resolución automática

Más detalles

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    "resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20Cadence%20Skills%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
    "receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20Cadence%20Skills%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
    "install": "https://www.openagentskill.com/api/skills/michaelche956-cadence-skills/install",
    "manifest": "https://www.openagentskill.com/api/registry/manifest/michaelche956-cadence-skills"
  }
}

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Creador: michaelChe956
Fuente: michaelChe956/Cadence-skills
Indexado por: Índice comunitario de OpenAgentSkill

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Resumen

Cadence

如何工作

写在安装之前

模型推荐

国内模型（推荐）

海外模型（可选）

Claude Code 安装方式

方式 1：官网安装（海外用户推荐）

方式 2：国内镜像安装（国内用户推荐）

方式 3：npm 安装

方式 4：macOS Homebrew 安装

方式 5：Linux APT 安装

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Precio y costes de ejecución

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