shipdeck/tasks/006_multi_agent_implementation.md

Ship MVPs in 48 hours. Fix bugs in 30 seconds. The command deck for developers who ship.

# Task 006: Multi-Agent Implementation

## 1. Task Overview

### Task Title
**Title:** Implement all 50+ specialized agents with AI execution

### Goal Statement
**Goal:** Transform the 50+ agent definitions from templates into actual AI-powered agents that can execute real tasks, each with specific expertise and capabilities.

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## 2. Strategic Analysis

### Problem Context
We have 50+ agent definitions but they're currently just templates. Each agent needs to be implemented with specific prompts, context, and execution logic.

### Recommendation
Implement agents in priority groups: Core (7), Design (5), Testing (5), Marketing (7), Operations (8), Orchestration (8), Support (10).

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## 3. Technical Requirements

### Functional Requirements
- Each agent has specialized prompt engineering
- Agents maintain context and memory
- Support for tool use (file operations, API calls)
- Inter-agent communication
- Parallel execution capability
- Result validation and quality checks

### Non-Functional Requirements
- **Modularity:** Each agent is self-contained
- **Reliability:** Graceful failure handling
- **Performance:** Parallel execution where possible
- **Maintainability:** Easy to add new agents

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## 4. Implementation Plan

### Phase 1: Core Engineering Agents (Priority)
- [ ] backend-architect - API design, database architecture
- [ ] frontend-developer - React, UI components
- [ ] rapid-prototyper - Quick MVPs
- [ ] test-writer-fixer - Comprehensive test suites
- [ ] devops-automator - CI/CD, deployment
- [ ] ai-engineer - ML/AI features
- [ ] mobile-app-builder - React Native

### Phase 2: Orchestration Agents
- [ ] task-coordinator - Parallel task management
- [ ] parallel-runner - Concurrent execution
- [ ] result-synthesizer - Merge results
- [ ] llm-judge - Compare solutions
- [ ] variant-generator - Multiple approaches
- [ ] worktree-manager - Git coordination
- [ ] conflict-detector - File overlap analysis
- [ ] orchestrator - Master coordination

### Phase 3: Design & UX Agents
- [ ] whimsy-injector - Delightful UI touches
- [ ] ui-designer - Visual design
- [ ] ux-researcher - User research
- [ ] visual-storyteller - Infographics
- [ ] brand-guardian - Brand consistency

### Phase 4: Testing & Quality Agents
- [ ] api-tester - API testing
- [ ] performance-benchmarker - Speed optimization
- [ ] test-results-analyzer - Test insights
- [ ] tool-evaluator - Tool assessment
- [ ] workflow-optimizer - Process improvement

### Phase 5: Marketing & Growth Agents
- [ ] tiktok-strategist - Viral content
- [ ] growth-hacker - User acquisition
- [ ] content-creator - Blog posts
- [ ] instagram-curator - Visual content
- [ ] reddit-community-builder - Engagement
- [ ] twitter-engager - Real-time social
- [ ] app-store-optimizer - ASO

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## 5. Success Criteria
- [ ] All 50+ agents implemented and callable
- [ ] Each agent produces quality output
- [ ] Agents can work in parallel
- [ ] Inter-agent communication works
- [ ] 10x faster than manual development

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## 6. Dependencies
- Task 001 (API Integration) completed
- Task 002 (DAG Engine) for orchestration

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## 7. Estimated Effort
**Priority:** P0 (Critical - Weeks 2-4)
**Complexity:** Very High
**Duration:** 10-15 days