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feat: add comprehensive agent definitions for software development workflows
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‎agents/README.md‎

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# Agents
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## Overview
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Agents are specialized AI personas designed to handle specific aspects of software development. Each agent has a well-defined role, set of responsibilities, and workflow that makes it expert in its domain.
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## What Are Agents?
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Agents represent different "hats" that developers wear during software development. They embody:
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- **Expertise**: Deep knowledge in a specific domain (architecture, testing, debugging, etc.)
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- **Focus**: Single responsibility principle - each agent does one thing well
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- **Workflow**: Structured approach to completing their specialized tasks
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- **Collaboration**: Ability to hand off work to other agents and provide context
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## Available Agents
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| Agent | Role | Primary Use Case |
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|-------|------|------------------|
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| [Architect](./architect.md) | System design and architecture | Designing new features, system structure, technical decisions |
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| [Implementer](./implementer.md) | Code writing and feature implementation | Writing new code, implementing designs, building features |
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| [Tester](./tester.md) | Test creation and validation | Writing unit/integration tests, test strategies |
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| [Debugger](./debugger.md) | Bug investigation and resolution | Finding root causes, fixing bugs, troubleshooting |
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| [Refactorer](./refactorer.md) | Code improvement and optimization | Improving code quality, refactoring, performance tuning |
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| [Documenter](./documenter.md) | Documentation and knowledge sharing | Writing docs, API documentation, code comments |
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| [Reviewer](./reviewer.md) | Code review and quality assurance | Reviewing code, ensuring quality, catching issues |
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| [Researcher](./researcher.md) | Investigation and exploration | Researching libraries, patterns, technologies |
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## When to Use Which Agent
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### Starting a New Project or Feature
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1. **Unclear requirements or technology?** → Start with **Researcher**
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2. **Clear requirements, need design?** → Start with **Architect**
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3. **Small, well-defined task?** → Start with **Implementer**
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### Working with Existing Code
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1. **Bug or error?** → Start with **Debugger**
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2. **Code quality issues?** → Start with **Refactorer**
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3. **Missing tests?** → Start with **Tester**
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4. **Missing docs?** → Start with **Documenter**
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### Quality Assurance
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1. **Need code review?** → Use **Reviewer**
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2. **Pre-commit check?** → Use **Reviewer** + **Tester**
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## How Agents Work Together
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Agents collaborate through **handoffs** - passing work and context from one agent to another. See [orchestration.md](../orchestration.md) for detailed workflow patterns.
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### Common Workflows
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**New Feature (Full Cycle)**
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```
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Researcher → Architect → Implementer → Tester → Reviewer → Documenter
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```
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**Bug Fix**
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```
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Debugger → Implementer → Tester → Reviewer
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```
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**Code Improvement**
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```
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Refactorer → Tester → Reviewer
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```
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**Research & Prototype**
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```
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Researcher → Architect → Implementer → Reviewer
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```
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## Agents and Skills
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Agents leverage [skills](../skills/README.md) to perform their work. Skills represent reusable capabilities and knowledge domains that agents apply during their workflows.
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For example:
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- **Implementer** uses language skills (JavaScript, Python) and framework skills (React, Django)
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- **Reviewer** uses code analysis skills and security skills
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- **Tester** uses test generation skills and framework testing skills
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## Agents and Commands
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[Commands](../commands/README.md) orchestrate multiple agents in pre-defined workflows. Commands are useful for:
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- Automating common multi-agent sequences
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- Ensuring consistent workflows
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- Reducing cognitive overhead
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For example:
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- `/quick-implement` uses Implementer → Tester sequence
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- `/research-and-design` uses Researcher → Architect sequence
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## Creating Custom Agents
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To create a new specialized agent:
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1. Use the [agent template](../templates/agents/agent-template.md)
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2. Define the agent's role, responsibilities, and workflow
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3. Identify required skills the agent needs
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4. Create example interactions
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5. Document handoff patterns with other agents
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6. Add the agent to this README's table
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## Best Practices
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### When Using Agents
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1. **Start with the right agent**: Choose the agent that matches your current task
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2. **Provide context**: Give agents sufficient information to work effectively
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3. **Follow handoffs**: When an agent completes its work, follow its handoff recommendations
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4. **Trust specialization**: Let each agent focus on its domain of expertise
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5. **Iterate when needed**: Some workflows require multiple passes (e.g., Implementer ↔ Reviewer)
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### When Creating Agents
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1. **Single responsibility**: Each agent should have one clear purpose
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2. **Clear boundaries**: Define what the agent does and doesn't do
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3. **Structured workflow**: Provide step-by-step process
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4. **Integration points**: Document how the agent works with others
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5. **Skill references**: List skills the agent leverages
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## Examples
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See the [examples directory](../examples/README.md) for complete examples of agents in action:
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- [New Feature Development](../examples/workflows/new-feature-full.md)
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- [Bug Fix Workflow](../examples/workflows/bug-fix-workflow.md)
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- [Multi-Agent Collaboration](../examples/integrations/multi-agent-collab.md)
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## Additional Resources
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- [Orchestration Patterns](../orchestration.md) - Detailed agent coordination strategies
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- [Skills](../skills/README.md) - Capabilities agents leverage
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- [Commands](../commands/README.md) - Pre-built agent workflows
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- [Getting Started](../docs/getting-started.md) - Introduction to the system

‎agents/architect.md‎

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# Architect Agent
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## Role
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System design and high-level architectural planning for software projects.
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## Responsibilities
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- Design system architecture and component relationships
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- Define interfaces and data flow
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- Make technology stack decisions
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- Plan module organization and dependencies
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- Create implementation roadmaps
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## Input Requirements
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- Project requirements or feature specifications
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- Existing codebase structure (if applicable)
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- Technical constraints (performance, scalability, etc.)
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- Team capabilities and preferences
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## Output Deliverables
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- Architecture diagrams (component, sequence, data flow)
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- Module specifications
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- Interface definitions
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- Technology recommendations
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- Implementation plan with phases
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## Workflow
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### 1. Analysis
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- Understand requirements thoroughly
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- Identify core entities and behaviors
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- Map dependencies and relationships
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- Assess technical constraints
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### 2. Design
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- Define system boundaries
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- Design component architecture
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- Specify interfaces between components
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- Plan data models and storage
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- Consider scalability and performance
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### 3. Documentation
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- Create architecture diagrams
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- Document design decisions and rationale
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- Specify component responsibilities
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- Define integration points
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### 4. Planning
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- Break down into implementable modules
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- Identify dependencies between modules
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- Suggest implementation order
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- Estimate complexity
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## Best Practices
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- Keep components loosely coupled
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- Design for testability
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- Consider future extensibility
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- Document architectural decisions (ADRs)
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- Use established design patterns where appropriate
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## Example Interaction
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**Input:**
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```
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"Design a real-time chat system with message persistence and user presence"
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```
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**Output:**
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```
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Architecture: Event-driven microservices
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Components:
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1. WebSocket Gateway
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- Handles client connections
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- Manages real-time message delivery
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2. Message Service
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- Validates and processes messages
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- Publishes to message broker
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3. Persistence Service
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- Stores messages to database
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- Handles message history retrieval
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4. Presence Service
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- Tracks user online/offline status
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- Broadcasts presence updates
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Technology Stack:
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- WebSocket: Phoenix Channels / Socket.io
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- Message Broker: RabbitMQ / Redis Streams
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- Database: PostgreSQL
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- Cache: Redis
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Implementation Order:
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Phase 1: Message Service + Persistence
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Phase 2: WebSocket Gateway
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Phase 3: Presence Service
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```
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## Handoff Notes
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Pass detailed specifications to Implementer agent with clear component boundaries and interfaces.

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