Project Init
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# ColaFlow Agent System
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This directory contains the sub agent configurations for the ColaFlow project.
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## 📚 Documentation Index
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| Document | Purpose |
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|----------|---------|
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| **README.md** (this file) | Overview and quick start |
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| **[AGENT_CONFIGURATION_GUIDE.md](AGENT_CONFIGURATION_GUIDE.md)** | Complete agent configuration guide |
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| **[AGENT_QUICK_REFERENCE.md](AGENT_QUICK_REFERENCE.md)** | Quick reference for agent setup |
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| **[RESEARCH_REPORT_AGENT_CONFIGURATION.md](RESEARCH_REPORT_AGENT_CONFIGURATION.md)** | Research findings and technical details |
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| **[verify-agents.md](verify-agents.md)** | Agent configuration validation checklist |
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| **[USAGE_EXAMPLES.md](USAGE_EXAMPLES.md)** | Detailed usage examples |
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## Structure
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```
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.claude/
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├── agents/ # Sub agent configurations
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│ ├── researcher.md # Technical Researcher agent
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│ ├── product-manager.md # Product Manager agent
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│ ├── architect.md # System Architect agent
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│ ├── backend.md # Backend Engineer agent
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│ ├── frontend.md # Frontend Engineer agent
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│ ├── ai.md # AI Engineer agent
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│ ├── qa.md # QA Engineer agent
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│ ├── ux-ui.md # UX/UI Designer agent
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│ └── progress-recorder.md # Progress Recorder agent
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├── skills/ # Skills for quality assurance
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│ └── code-reviewer.md # Code review and standards enforcement
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├── AGENT_CONFIGURATION_GUIDE.md # ⭐ Complete configuration guide
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├── AGENT_QUICK_REFERENCE.md # ⭐ Quick reference card
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├── RESEARCH_REPORT_AGENT_CONFIGURATION.md # ⭐ Technical research report
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├── verify-agents.md # ⭐ Validation checklist
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├── USAGE_EXAMPLES.md # Detailed usage examples
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└── README.md # This file
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../CLAUDE.md # Main coordinator (project root)
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```
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## ⚡ Quick Start
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### For Users
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1. **Verify Agent Configuration**
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```bash
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# Check if agents are properly configured
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ls .claude/agents/
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```
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See [verify-agents.md](verify-agents.md) for detailed validation.
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2. **Use Agents via Main Coordinator**
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Simply talk to Claude - it will automatically route tasks to the right agent:
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```
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请研究 NestJS 最佳实践 → researcher agent
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实现用户登录 API → backend agent
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设计看板界面 → ux-ui + frontend agents
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```
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3. **Explicitly Call an Agent** (optional)
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```
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请使用 researcher agent 查找最新的 React 文档
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```
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### For Developers
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**New to Claude Code agents?** Start with:
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1. Read [AGENT_QUICK_REFERENCE.md](AGENT_QUICK_REFERENCE.md) (5 min)
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2. Review [AGENT_CONFIGURATION_GUIDE.md](AGENT_CONFIGURATION_GUIDE.md) (comprehensive)
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3. Run validation: [verify-agents.md](verify-agents.md)
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**Configuring a new agent?** Use this template:
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```yaml
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---
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name: your-agent-name
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description: Clear description of agent's purpose and when to invoke it
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tools: Read, Write, Edit, Bash, TodoWrite
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model: inherit
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---
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# Your Agent
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Agent's system prompt content...
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```
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## Agent Roles
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| Agent | File | Responsibilities |
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|-------|------|------------------|
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| **Main Coordinator** | `CLAUDE.md` | Understands requirements, routes tasks to appropriate agents, integrates results |
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| **Researcher** | `agents/researcher.md` | Technical research, API documentation, best practices |
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| **Product Manager** | `agents/product-manager.md` | Project planning, requirements management, progress tracking |
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| **Architect** | `agents/architect.md` | System architecture, technology selection, scalability |
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| **Backend Engineer** | `agents/backend.md` | Server-side code, API design, database, MCP integration |
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| **Frontend Engineer** | `agents/frontend.md` | UI development, components, state management |
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| **AI Engineer** | `agents/ai.md` | AI features, prompt engineering, model integration |
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| **QA Engineer** | `agents/qa.md` | Test strategy, test cases, quality assurance |
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| **UX/UI Designer** | `agents/ux-ui.md` | User experience, interface design, design system |
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| **Progress Recorder** | `agents/progress-recorder.md` | Project memory management, progress tracking, information archiving |
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## Skills
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Skills are quality assurance mechanisms that automatically apply to agent outputs:
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| Skill | File | Purpose |
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|-------|------|---------|
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| **Code Reviewer** | `skills/code-reviewer.md` | Ensures all code follows proper coding standards, best practices, and maintains high quality |
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### How Skills Work
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Skills are automatically applied by the main coordinator when:
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- Backend or Frontend agents generate code
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- Any code modifications are proposed
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- Code refactoring is performed
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The Code Reviewer skill checks for:
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- ✅ Naming conventions (camelCase, PascalCase, etc.)
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- ✅ TypeScript best practices
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- ✅ Error handling patterns
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- ✅ Security vulnerabilities
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- ✅ Performance considerations
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- ✅ Common anti-patterns
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If issues are found, the coordinator will request fixes before presenting the code to you.
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## How It Works
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### 1. Main Coordinator Routes Tasks
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The main coordinator (defined in `CLAUDE.md` at project root) receives all user requests and routes them to appropriate sub agents using the Task tool.
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Example:
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```
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User: "I need to implement the MCP Server"
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Main Coordinator analyzes the request and determines:
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- Needs architecture design
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- Needs backend implementation
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- Needs testing strategy
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Main Coordinator calls:
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1. Task tool with subagent_type="architect"
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2. Task tool with subagent_type="backend"
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3. Task tool with subagent_type="qa"
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```
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### 2. Sub Agents Execute Tasks
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Each sub agent is specialized in their domain and produces high-quality, domain-specific outputs:
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- **Product Manager**: PRD documents, project plans, progress reports
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- **Architect**: Architecture designs, technology recommendations
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- **Backend**: Clean, tested backend code
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- **Frontend**: Beautiful, performant UI components
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- **AI**: AI features with safety mechanisms
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- **QA**: Comprehensive test cases and test strategies
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- **UX/UI**: User-friendly interface designs
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### 3. Main Coordinator Integrates Results
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The main coordinator collects outputs from all sub agents and presents a unified response to the user.
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## Usage Examples
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### Example 1: Implement New Feature
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**User Request**: "Implement AI-powered task creation feature"
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**Main Coordinator Flow**:
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1. Calls `architect` agent → Get technical architecture
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2. Calls `product-manager` agent → Define requirements and acceptance criteria
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3. Calls `ai` agent → Design prompts and model integration
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4. Calls `backend` agent → Implement API and MCP Server
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5. Calls `frontend` agent → Build UI and AI console
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6. Calls `qa` agent → Create test cases
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7. Integrates all results and reports to user
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### Example 2: Fix Performance Issue
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**User Request**: "Kanban board loads slowly with many tasks"
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**Main Coordinator Flow**:
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1. Calls `qa` agent → Performance testing and profiling
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2. Based on findings, calls `frontend` agent → Optimize rendering
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3. Or calls `backend` agent → Optimize API queries
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4. Calls `qa` agent again → Verify performance improvement
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### Example 3: Design New UI
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**User Request**: "Design the sprint planning interface"
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**Main Coordinator Flow**:
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1. Calls `product-manager` agent → Define sprint planning requirements
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2. Calls `ux-ui` agent → Design user flows and mockups
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3. Calls `frontend` agent → Implement the design
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4. Calls `qa` agent → Usability testing
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## Calling Sub Agents
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Sub agents are called using the Task tool with the `subagent_type` parameter:
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```typescript
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Task({
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subagent_type: "architect", // or "product-manager", "backend", etc.
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description: "Short task description",
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prompt: "Detailed instructions for the agent..."
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})
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```
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### Parallel Execution
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For independent tasks, you can call multiple agents in parallel by using multiple Task calls in a single message:
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```typescript
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// Single message with multiple Task calls
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Task({ subagent_type: "architect", ... })
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Task({ subagent_type: "product-manager", ... })
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```
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### Sequential Execution
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For dependent tasks, call agents sequentially (wait for first agent's response before calling the next).
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## Best Practices
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1. **Clear Instructions**: Provide detailed, specific prompts to sub agents
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2. **Right Agent**: Route tasks to the most appropriate agent
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3. **Context**: Include relevant project context (see `product.md`)
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4. **Integration**: Integrate results before presenting to user
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5. **Parallel Work**: Use parallel execution for independent tasks
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## Agent Collaboration
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Agents suggest when other agents should be involved:
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- Product Manager needs technical feasibility → Suggests calling Architect
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- Backend needs API contract → Suggests calling Frontend
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- Frontend needs design specs → Suggests calling UX/UI
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- Any agent needs testing → Suggests calling QA
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The main coordinator handles these routing decisions.
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## Project Context
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All agents have access to:
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- `product.md`: Complete ColaFlow project plan
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- `CLAUDE.md`: Main coordinator guidelines
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- `.claude/agents/*.md`: Other agent configurations
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## Quality Standards
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Each agent follows strict quality standards:
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- **Code Quality**: Clean, maintainable, well-tested code
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- **Documentation**: Clear documentation and comments
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- **Best Practices**: Industry best practices and standards
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- **Testing**: Comprehensive test coverage
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- **Security**: Security-first approach (especially for AI operations)
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## Getting Started
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1. Read `CLAUDE.md` in the project root to understand the main coordinator
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2. Review `product.md` to understand the ColaFlow project
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3. Check individual agent files in `.claude/agents/` to understand each role
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4. Start by asking the main coordinator (not individual agents directly)
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## Support
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For questions about the agent system, refer to:
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- Main coordinator: `CLAUDE.md`
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- Project details: `product.md`
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- Agent specifics: `.claude/agents/[agent-name].md`
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