A comprehensive collection of specialized AI agents designed to accelerate and enhance every aspect of rapid development. Each agent is an expert in their domain, ready to be invoked when their expertise is needed.

專為快速開發設計的專業 AI agents 完整集合，可加速並增強開發的各個層面。每個 agent 都是各自領域的專家，隨時準備在需要其專業知識時被呼叫。

flowchart TD
    A["Contains Studio AI Agents<br/>Contains Studio AI Agents 專業工作室"] --> B["Engineering<br/>工程部門"]
    A --> C["Design<br/>設計部門"]
    A --> D["Marketing<br/>行銷部門"]
    A --> E["Product<br/>產品部門"]
    A --> F["Project Management<br/>專案管理部門"]
    A --> G["Studio Operations<br/>工作室營運部門"]
    A --> H["Testing<br/>測試部門"]
    A --> I["Bonus<br/>獎勵部門"]
    
    B --> B1["7 Specialized Agents<br/>7個專業Agent"]
    C --> C1["5 Specialized Agents<br/>5個專業Agent"]
    D --> D1["7 Specialized Agents<br/>7個專業Agent"]
    E --> E1["3 Specialized Agents<br/>3個專業Agent"]
    F --> F1["3 Specialized Agents<br/>3個專業Agent"]
    G --> G1["5 Specialized Agents<br/>5個專業Agent"]
    H --> H1["5 Specialized Agents<br/>5個專業Agent"]
    I --> I1["2 Specialized Agents<br/>2個專業Agent"]

1. Download this repository | 下載此儲存庫:

   git clone https://github.com/contains-studio/agents.git

2. Copy to your Claude Code agents directory | 複製到您的 Claude Code agents 目錄:

   cp -r agents/* ~/.claude/agents/

   Or manually copy all the agent files to your ~/.claude/agents/ directory.

   或手動將所有 agent 檔案複製到您的 ~/.claude/agents/ 目錄。

3. Restart Claude Code | 重啟 Claude Code to load the new agents. | 以載入新的 agents。

Agents are automatically available in Claude Code. Simply describe your task and the appropriate agent will be triggered. You can also explicitly request an agent by mentioning their name.

Agents 在 Claude Code 中會自動可用。只需描述您的任務，適當的 agent 就會被觸發。您也可以透過提及 agent 名稱來明確請求特定的 agent。

📚 Learn more | 了解更多: Claude Code Sub-Agents Documentation

• "Create a new app for tracking meditation habits" → rapid-prototyper "建立一個追蹤冥想習慣的新應用程式" → rapid-prototyper
• "What's trending on TikTok that we could build?" → trend-researcher "TikTok 上有什麼趨勢是我們可以打造的？" → trend-researcher
• "Our app reviews are dropping, what's wrong?" → feedback-synthesizer "我們的應用程式評價在下降，有什麼問題？" → feedback-synthesizer
• "Make this loading screen more fun" → whimsy-injector "讓這個載入畫面更有趣" → whimsy-injector

Agents are organized by department for easy discovery:

Agents 按部門組織以便於發現：

contains-studio-agents/
├── design/
│   ├── brand-guardian.md
│   ├── ui-designer.md
│   ├── ux-researcher.md
│   ├── visual-storyteller.md
│   └── whimsy-injector.md
├── engineering/
│   ├── ai-engineer.md
│   ├── backend-architect.md
│   ├── devops-automator.md
│   ├── frontend-developer.md
│   ├── mobile-app-builder.md
│   ├── rapid-prototyper.md
│   └── test-writer-fixer.md
├── marketing/
│   ├── app-store-optimizer.md
│   ├── content-creator.md
│   ├── growth-hacker.md
│   ├── instagram-curator.md
│   ├── reddit-community-builder.md
│   ├── tiktok-strategist.md
│   └── twitter-engager.md
├── product/
│   ├── feedback-synthesizer.md
│   ├── sprint-prioritizer.md
│   └── trend-researcher.md
├── project-management/
│   ├── experiment-tracker.md
│   ├── project-shipper.md
│   └── studio-producer.md
├── studio-operations/
│   ├── analytics-reporter.md
│   ├── finance-tracker.md
│   ├── infrastructure-maintainer.md
│   ├── legal-compliance-checker.md
│   └── support-responder.md
├── testing/
│   ├── api-tester.md
│   ├── performance-benchmarker.md
│   ├── test-results-analyzer.md
│   ├── tool-evaluator.md
│   └── workflow-optimizer.md
└── bonus/
    ├── joker.md
    └── studio-coach.md

• ai-engineer - Integrate AI/ML features that actually ship
  AI 工程師 - 整合真正能投入使用的 AI/ML 功能
• backend-architect - Design scalable APIs and server systems
  後端架構師 - 設計可擴展的 API 和伺服器系統
• devops-automator - Deploy continuously without breaking things
  DevOps 自動化專家 - 持續部署而不破壞系統
• frontend-developer - Build blazing-fast user interfaces
  前端開發者 - 建構超快速的使用者介面
• mobile-app-builder - Create native iOS/Android experiences
  行動應用程式建構師 - 創建原生 iOS/Android 體驗
• rapid-prototyper - Build MVPs in days, not weeks
  快速原型開發者 - 以天為單位而非週來建構 MVP
• test-writer-fixer - Write tests that catch real bugs
  測試撰寫修復專家 - 撰寫能捕捉真實錯誤的測試

• feedback-synthesizer - Transform complaints into features
  回饋整合器 - 將抱怨轉化為功能
• sprint-prioritizer - Ship maximum value in 6 days
  衝刺優先排序專家 - 在 6 天內交付最大價值
• trend-researcher - Identify viral opportunities
  趋勢研究員 - 識別病毒式傳播機會

• app-store-optimizer - Dominate app store search results
  應用商店優化專家 - 主導應用商店搜尋結果
• content-creator - Generate content across all platforms
  內容創作者 - 跨平台生成內容
• growth-hacker - Find and exploit viral growth loops
  成長駭客 - 發現並利用病毒式成長循環
• instagram-curator - Master the visual content game
  Instagram 策展人 - 掌握視覺內容遊戲
• reddit-community-builder - Win Reddit without being banned
  Reddit 社群建構師 - 在不被封禁的情況下贏得 Reddit
• tiktok-strategist - Create shareable marketing moments
  TikTok 策略專家 - 創造可分享的行銷時刻
• twitter-engager - Ride trends to viral engagement
  Twitter 互動專家 - 乘著趨勢達到病毒式互動

• brand-guardian - Keep visual identity consistent everywhere
  品牌守護者 - 在各處保持視覺識別的一致性
• ui-designer - Design interfaces developers can actually build
  UI 設計師 - 設計開發者真正能建構的介面
• ux-researcher - Turn user insights into product improvements
  UX 研究員 - 將使用者洞察轉化為產品改進
• visual-storyteller - Create visuals that convert and share
  視覺說故事專家 - 創造能轉換和分享的視覺內容
• whimsy-injector - Add delight to every interaction
  奇思妙想注入器 - 為每個互動增添愉悅感

• experiment-tracker - Data-driven feature validation
  實驗追蹤器 - 數據驅動的功能驗證
• project-shipper - Launch products that don't crash
  產品交付專家 - 推出不會崩潰的產品
• studio-producer - Keep teams shipping, not meeting
  工作室製作人 - 讓團隊專注於交付而不是開會

• analytics-reporter - Turn data into actionable insights
  分析報告專家 - 將數據轉化為可行的洞察
• finance-tracker - Keep the studio profitable
  財務追蹤器 - 保持工作室盈利
• infrastructure-maintainer - Scale without breaking the bank
  基礎設施維護專家 - 在不破產的情況下擴展
• legal-compliance-checker - Stay legal while moving fast
  法律合規檢查器 - 在快速行動時保持合法
• support-responder - Turn angry users into advocates
  客戶支援響應專家 - 將憤怒的使用者轉化為擁護者

• api-tester - Ensure APIs work under pressure
  API 測試器 - 確保 API 在壓力下能正常工作
• performance-benchmarker - Make everything faster
  效能基準測試專家 - 讓一切都更快速
• test-results-analyzer - Find patterns in test failures
  測試結果分析器 - 在測試失敗中找出模式
• tool-evaluator - Choose tools that actually help
  工具評估器 - 選擇真正有幫助的工具
• workflow-optimizer - Eliminate workflow bottlenecks
  工作流程優化器 - 消除工作流程瓶頸

• studio-coach - Rally the AI troops to excellence
  工作室教練 - 號召 AI 團隊追求卓越
• joker - Lighten the mood with tech humor
  開心果 - 用科技幽默輕鬆氣氛

Some agents trigger automatically in specific contexts:

某些 agents 在特定情境下會自動觸發：

• studio-coach - When complex multi-agent tasks begin or agents need guidance
  工作室教練 - 當複雜的多 agent 任務開始或 agents 需要指導時
• test-writer-fixer - After implementing features, fixing bugs, or modifying code
  測試撰寫修復專家 - 在實作功能、修復錯誤或修改程式碼後
• whimsy-injector - After UI/UX changes
  奇思妙想注入器 - 在 UI/UX 變更後
• experiment-tracker - When feature flags are added
  實驗追蹤器 - 當添加功能標誌時

1. Let agents work together - Many tasks benefit from multiple agents
   讓 agents 協同工作 - 許多任務受益於多個 agents
2. Be specific - Clear task descriptions help agents perform better
   明確描述 - 清晰的任務描述幫助 agents 表現更佳
3. Trust the expertise - Agents are designed for their specific domains
   信任專業知識 - Agents 專為其特定領域設計
4. Iterate quickly - Agents support the 6-day sprint philosophy
   快速迭代 - Agents 支持 6 天衝刺哲學

flowchart LR
    subgraph "Day 1-2 | 第1-2天"
        A["Project Setup<br/>專案設置"] --> B["Core Features<br/>核心功能實作"]
    end
    
    subgraph "Day 3-4 | 第3-4天"
        C["Secondary Features<br/>次要功能添加"] --> D["UX Optimization<br/>用戶體驗優化"]
    end
    
    subgraph "Day 5 | 第5天"
        E["User Testing<br/>用戶測試"] --> F["Iteration<br/>迭代改進"]
    end
    
    subgraph "Day 6 | 第6天"
        G["Launch Preparation<br/>發布準備"] --> H["Deployment<br/>部署"]
    end
    
    B --> C
    D --> E
    F --> G
    
    style A fill:#e1f5fe
    style B fill:#e1f5fe
    style C fill:#f3e5f5
    style D fill:#f3e5f5
    style E fill:#fff3e0
    style F fill:#fff3e0
    style G fill:#e8f5e8
    style H fill:#e8f5e8

flowchart TD
    subgraph "Core Development Flow | 核心開發流程"
        RP["rapid-prototyper<br/>快速原型開發者"] --> FD["frontend-developer<br/>前端開發者"]
        RP --> BA["backend-architect<br/>後端架構師"]
        FD --> UI["ui-designer<br/>UI設計師"]
        UI --> WI["whimsy-injector<br/>奇思妙想注入器"]
        BA --> DA["devops-automator<br/>DevOps自動化專家"]
        DA --> TWF["test-writer-fixer<br/>測試撰寫修復專家"]
    end
    
    subgraph "Research & Strategy | 研究與策略"
        TR["trend-researcher<br/>趨勢研究員"] --> RP
        TR --> TS["tiktok-strategist<br/>TikTok策略專家"]
        TS --> CC["content-creator<br/>內容創作者"]
        CC --> IC["instagram-curator<br/>Instagram策展人"]
        UXR["ux-researcher<br/>UX研究員"] --> UI
        UXR --> FS["feedback-synthesizer<br/>回饋整合器"]
    end
    
    subgraph "Quality & Optimization | 品質與優化"
        TWF --> AT["api-tester<br/>API測試器"]
        TWF --> PB["performance-benchmarker<br/>效能基準測試專家"]
        PB --> WO["workflow-optimizer<br/>工作流程優化器"]
        AT --> TRA["test-results-analyzer<br/>測試結果分析器"]
    end
    
    subgraph "Management & Operations | 管理與營運"
        SC["studio-coach<br/>工作室教練"] --> SP["sprint-prioritizer<br/>衝刺優先排序專家"]
        SP --> ET["experiment-tracker<br/>實驗追蹤器"]
        ET --> AR["analytics-reporter<br/>分析報告專家"]
        PS["project-shipper<br/>專案交付專家"] --> GH["growth-hacker<br/>成長駭客"]
        AR --> FT["finance-tracker<br/>財務追蹤器"]
    end
    
    subgraph "Support Systems | 支援系統"
        IM["infrastructure-maintainer<br/>基礎設施維護專家"] --> DA
        SR["support-responder<br/>客戶支援響應專家"] --> FS
        LCC["legal-compliance-checker<br/>法律合規檢查器"] --> PS
        BG["brand-guardian<br/>品牌守護者"] --> UI
        BG --> VS["visual-storyteller<br/>視覺說故事專家"]
    end
    
    %% Central Coordination
    SC -.-> RP
    SC -.-> UI
    SC -.-> GH
    SC -.-> PS
    
    %% Cross-team Dependencies
    FS --> SP
    GH --> CC
    VS --> IC
    
    style SC fill:#ffd54f
    style RP fill:#81c784
    style UI fill:#f48fb1
    style GH fill:#ff8a65
    style PS fill:#90caf9

Each agent includes: | 每個 agent 包含：

• name: Unique identifier | 名稱：唯一識別符
• description: When to use the agent with examples | 描述：使用時機與範例
• color: Visual identification | 顏色：視覺識別
• tools: Specific tools the agent can access | 工具：agent 可使用的特定工具
• System prompt: Detailed expertise and instructions | 系統提示：詳細的專業知識和指令

1. Create a new .md file in the appropriate department folder
   在適當的部門資料夾中建立新的 .md 檔案
2. Follow the existing format with YAML frontmatter
   遵循現有的 YAML frontmatter 格式
3. Include 3-4 detailed usage examples
   包含 3-4 個詳細的使用範例
4. Write comprehensive system prompt (500+ words)
   撰寫全面的系統提示（500+ 字）
5. Test the agent with real tasks
   用真實任務測試 agent

Track agent effectiveness through: | 透過以下指標追蹤 agent 效果：

• Task completion time | 任務完成時間
• User satisfaction | 用戶滿意度
• Error rates | 錯誤率
• Feature adoption | 功能採用率
• Development velocity | 開發速度

• ✅ Active | 活躍: Fully functional and tested | 功能完整且已測試
• 🚧 Coming Soon | 即將推出: In development | 開發中
• 🧪 Beta | 測試版: Testing with limited functionality | 有限功能測試中

Use this checklist when creating or modifying agents for your specific needs:

• YAML Frontmatter
  • name: Unique agent identifier (kebab-case)
  • description: When to use + 3-4 detailed examples with context/commentary
  • color: Visual identification (e.g., blue, green, purple, indigo)
  • tools: Specific tools the agent can access (Write, Read, MultiEdit, Bash, etc.)

• Agent Identity: Clear role definition and expertise area
• Core Responsibilities: 5-8 specific primary duties
• Domain Expertise: Technical skills and knowledge areas
• Studio Integration: How agent fits into 6-day sprint workflow
• Best Practices: Specific methodologies and approaches
• Constraints: What the agent should/shouldn't do
• Success Metrics: How to measure agent effectiveness

Engineering Agents need examples for:

• Feature implementation requests
• Bug fixing scenarios
• Code refactoring tasks
• Architecture decisions

Design Agents need examples for:

• New UI component creation
• Design system work
• User experience problems
• Visual identity tasks

Marketing Agents need examples for:

• Campaign creation requests
• Platform-specific content needs
• Growth opportunity identification
• Brand positioning tasks

Product Agents need examples for:

• Feature prioritization decisions
• User feedback analysis
• Market research requests
• Strategic planning needs

Operations Agents need examples for:

• Process optimization
• Tool evaluation
• Resource management
• Performance analysis

• Trigger Testing: Agent activates correctly for intended use cases
• Tool Access: Agent can use all specified tools properly
• Output Quality: Responses are helpful and actionable
• Edge Cases: Agent handles unexpected or complex scenarios
• Integration: Works well with other agents in multi-agent workflows
• Performance: Completes tasks within reasonable timeframes
• Documentation: Examples accurately reflect real usage patterns

---
name: your-agent-name
description: Use this agent when [scenario]. This agent specializes in [expertise]. Examples:\n\n<example>\nContext: [situation]\nuser: "[user request]"\nassistant: "[response approach]"\n<commentary>\n[why this example matters]\n</commentary>\n</example>\n\n[3 more examples...]
color: agent-color
tools: Tool1, Tool2, Tool3
---

You are a [role] who [primary function]. Your expertise spans [domains]. You understand that in 6-day sprints, [sprint constraint], so you [approach].

Your primary responsibilities:
1. [Responsibility 1]
2. [Responsibility 2]
...

[Detailed system prompt content...]

Your goal is to [ultimate objective]. You [key behavior traits]. Remember: [key philosophy for 6-day sprints].

Engineering (engineering/): Focus on implementation speed, code quality, testing
工程部門：專注於實作速度、程式碼品質、測試

Design (design/): Emphasize user experience, visual consistency, rapid iteration
設計部門：強調用戶體驗、視覺一致性、快速迭代

Marketing (marketing/): Target viral potential, platform expertise, growth metrics
行銷部門：目標病毒傳播潛力、平台專業知識、成長指標

Product (product/): Prioritize user value, data-driven decisions, market fit
產品部門：優先考慮用戶價值、數據驅動決策、市場適配

Operations (studio-operations/): Optimize processes, reduce friction, scale systems
營運部門：優化流程、減少摩擦、擴展系統

Testing (testing/): Ensure quality, find bottlenecks, validate performance
測試部門：確保品質、發現瓶頸、驗證效能

Project Management (project-management/): Coordinate teams, ship on time, manage scope
專案管理部門：協調團隊、準時交付、管理範圍

Modify these elements for your needs: | 根據您的需求修改這些元素：

• Adjust examples to reflect your product types
  調整範例以反映您的產品類型
• Add specific tools agents have access to
  添加 agents 可使用的特定工具
• Modify success metrics for your KPIs
  修改成功指標以符合您的 KPI
• Update department structure if needed
  如需要可更新部門結構
• Customize agent colors for your brand
  客製化 agent 顏色以符合品牌

To improve existing agents or suggest new ones: | 改進現有 agents 或建議新的 agents：

1. Use the customization checklist above
   使用上面的客製化檢查清單
2. Test thoroughly with real projects
   用真實專案進行全面測試
3. Document performance improvements
   記錄效能改進
4. Share successful patterns with the community
   與社群分享成功的模式