Cadence Skills

REVIEW · 63
Community indexed

claude code skills for coding workflow

Downloads0
Stars11
Version1.0.0
Quality67/100 · Promising
Trust63/100 · Sandbox only
Audit77/100 · Needs review

Supply asset profile

Coding and developer agents

Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.

Browse track

Scenario

Coding agents

I need a coding agent that can understand a repository, edit code, and review pull requests.

Agent fit

Claude Code + CLI + Codex

Codex, Claude Code, Cursor, CLI, or custom agents.

Install

Ready

npx skills add michaelChe956/Cadence-skills

Maintenance

fresh

1d since push

Risk

Needs review

Dependency or permission surface needs review

GitHub quality

11

67/100 Quality · 71/100 Trust

Coverage tags

CodingCoding agentscoding-agentsclaude-codemulti-agent

Review notes

Dependency or permission surface needs review · Permission surface may require sandboxing

Agent adoption scorecard

Trust, audit, and install readiness at a glance

These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.

Quality

Promising
67

Useful candidate, but compare it with alternatives before adopting.

Trust

Sandbox only
63

Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.

Audit

Needs review
77

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

OpenAgentSkill Trust Score v5

Human review before install

Run only in a sandbox and compare close alternatives before using it for real work.

PythonCodexClaude CodeCursorOpenAgentSkill CLI

Stars

11 GitHub stars

Repo activity

11 stars, 3 forks

Maintenance

1d since push

License

MIT

Install

npx skills add michaelChe956/Cadence-skills

Install safety

standard package or runtime install path

Permission surface

secrets or environment access, shell or command execution

Agent outcomes

No agent outcome data yet

Docs

Strong README/SKILL.md context

Risk summary

Review before production

  • 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

Install readiness

Install path available

  • Install path is available
  • Repository evidence is available
  • License is declared
  • No Agent Proven outcome evidence yet

Agent-readable metadata

Machine-readable decision data for this skill.

Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.

Open JSON

Suited tasks

  • Coding agents workflows
  • Claude Code teams
  • builders willing to evaluate younger projects
  • Inspect source files

Suited agents

PythonCodexClaude CodeCursorOpenAgentSkill CLICLI

Install decision

Command
npx skills add michaelChe956/Cadence-skills
Policy
block
Human review
yes

Trust and risk

Trust
63/100
Audit
77/100
Risk level
Needs review

Outcome loop

Endpoint
/api/agent/outcome
Event ID
resolve
Outcomes
5

Install command

npx skills add michaelChe956/Cadence-skills

Do not use when

  • teams that need a vendor-supported SLA
  • production agents without a repository review
  • Low GitHub adoption signal
  • No OpenAgentSkill engagement data yet
  • High-risk permission hints: Shell or command execution, Secrets or environment access

Agent safety v2

41/100 · Avoid automatic install

Blocked for auto-installblock

This skill should not be selected by an agent without explicit human security review.

Do not auto-install. Inspect the source, dependencies, and permission surface first.

Resolve via API

high

Shell or command execution

Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.

medium

Network access

Skill likely fetches remote pages, APIs, repositories, or external services.

high

Secrets or environment access

Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.

  • High-risk permission hints: Shell or command execution, Secrets or environment access
  • Dependency or permission surface needs review

Install targets

Install this skill in your agent workflow

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

skill install

OpenAgentSkill CLI

Use the registry command when your workflow supports the OpenAgentSkill installer.

$ npx skills add michaelChe956/Cadence-skills

Agent resolve plan

Let an agent verify fit before installing.

The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.

Open text plan

Agent should check

  • Task fit and alternatives from Resolve API.
  • Audit score, trust score, and safety policy warnings.
  • Install target compatibility for Codex, Claude Code, Cursor, or CLI.

Copy prompt

Task: Use Cadence Skills in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20Cadence%20Skills%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/michaelche956-cadence-skills/install
Install command: npx skills add michaelChe956/Cadence-skills
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.

Agent handoff

Give an agent the install path, not another directory page.

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

Open install API

Agent prompt

Use Cadence Skills for this task. Review https://www.openagentskill.com/api/skills/michaelche956-cadence-skills/install, then install with: npx skills add michaelChe956/Cadence-skills

Registry metadata

Agent-readable profile for automatic skill selection.

This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.

Open manifest

Agent fit

66/100

Coding agents

Platforms

Python, Claude Code

Audit report

Needs review · 77/100

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

View audit reportView eval report

Agent decision cockpit

Fallback candidate for Coding agents

Prototype with this skill first; keep a fallback candidate ready.

66
Readiness
Prototype
Stage

Role in stack

Fallback candidate

Primary fit

Coding agents

Trust label

Prototype first

Install path

Command ready

Use when

  • Coding agents workflows
  • Claude Code teams
  • builders willing to evaluate younger projects

Evidence

  • recent repository activity
  • install command or GitHub repo available
  • 67/100 quality profile

review first

  • Low GitHub adoption signal
  • No OpenAgentSkill engagement data yet

Implementation path

  1. 1Install it in a sandbox agent and run one Coding agents task end to end.
  2. 2Compare output quality, latency, and failure behavior against at least one alternative.
  3. 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.

Trust profile

Sandbox only

Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.

63
OpenAgentSkill Trust Score

GitHub adoption

FIX

11 GitHub stars

Stars/forks activity

FIX

11 stars, 3 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

1d since push

License clarity

PASS

MIT

Good signals

  • AI review approved
  • Install path is available
  • Repository evidence is available
  • Recently maintained repository
  • Install command has no obvious high-risk pattern
  • Outcome loop is ready but needs first real agent run

Review before install

  • 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
  • No real agent outcome reports yet
  • Human review required before unattended installation

Recommended action

Run only in a sandbox and compare close alternatives before using it for real work.

Quality profile

Promising candidate for agent workflows

Useful candidate, but compare it with alternatives before adopting.

67
GitHub stars
11
Freshness
1d ago
Install ready
Yes
License
MIT
Review before install: Low GitHub adoption signal

Workflow fit

Use this skill in these scenarios

Workflow fit

Add it to a complete workflow

Alternative shortlist

Compare before you install

Similar skills that may fit this task.

Compare all

Overview

# 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

Platform compatibility

pythonFULL

Technical details

Version
1.0.0
License
MIT
Last updated
Aug 1, 2026
Published
Aug 1, 2026

Frameworks & tools

Python

Decision snapshot

Fallback candidate

66
Ready
Prototype
Stage

recent repository activity

Audit

Install review

Install and adoption review

77
Needs review
Security
78/100
Maintenance
100/100
Install
92/100
Open full auditView eval report

Agent-proven evidence

Agent-proven evidence

Outcome reports after resolve, review, install, and one narrow run.

0
Proven
Needs first agent runAuto-install: review firstLast: Unknown
Success rate
Recent failure
Outcomes
0
Output quality
Failed
0
Not relevant
0
Installs
0
Risk blocked
0
Setup needed
0
Production
0

No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.

Install

Add to agent workflow

Free and open source. Review the report before installing into production agents.

Growth loop

Share kit

X

Scenario-led draft for Cadence Skills, ready for a manual X post.

Curator note
Cadence Skills: A Claude Code skills collection that structures AI-assisted coding into a multi-agent workflo...

11 stars

https://www.openagentskill.com/skills/michaelche956-cadence-skills?ref=x
Open X draft
Optional reply with install command
Listing + install path for Cadence Skills:
https://www.openagentskill.com/skills/michaelche956-cadence-skills?ref=x

Install: npx skills add michaelChe956/Cadence-skills

Listing source

Community indexed

Claimable

This listing was indexed from public sources and is not marked official until a maintainer claim is approved.

Indexed by
OpenAgentSkill community index

Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.

Claim this skill

Owner claim

Claim this skill listing

This Community indexed listing is attributed to michaelChe956 but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.

Creator backlink kit

Add the evidence badges to your README

Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.

[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/michaelche956-cadence-skills?metric=listed&label=Listed)](https://www.openagentskill.com/skills/michaelche956-cadence-skills)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/michaelche956-cadence-skills?metric=trust&label=Trust)](https://www.openagentskill.com/skills/michaelche956-cadence-skills)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/michaelche956-cadence-skills?metric=audit&label=Audit)](https://www.openagentskill.com/skills/michaelche956-cadence-skills/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/michaelche956-cadence-skills?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/michaelche956-cadence-skills)

Author

M

michaelChe956

@michaelche956

Platform fit

Health signals

GitHub stars
11
Quality score
40/100
Last GitHub push
Aug 1, 2026
Framework hints
1
OpenAgentSkill views
0
Install copies
0
Outbound clicks
0

Community signal

Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.

Trust & safety

Sandbox only

63
  • GitHub adoption11 GitHub starsFIX
  • Stars/forks activity11 stars, 3 forks; issue activity unavailable in current metadataFIX
  • Recent maintenance1d since pushPASS
  • License clarityMITPASS
  • README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
  • Dependency/runtime riskcommand execution surface, credential or environment accessCHECK