testing-unit-integration

These commands replace external task management tools by leveraging Claude Code's native AI capabilities to provide sophisticated project planning and task breakdown functionality directly within your development workflow.

`/project:prd-to-tasks <prd_document> <output_folder>`

Converts Product Requirements Documents into comprehensive task structures with intelligent analysis and breakdown.

Usage:

```bash

/project:prd-to-tasks ./docs/requirements.md ./tasks/project

```

What it does:

• Analyzes PRD using Claude's AI capabilities
• Extracts requirements, user stories, and technical specifications
• Generates structured task hierarchy with dependencies
• Creates comprehensive task breakdown with complexity analysis
• Outputs both JSON database and markdown task lists

`/project:task-breakdown <input_source> <output_folder>`

Breaks down complex tasks or requirements into detailed, actionable subtasks with intelligent decomposition.

Usage:

```bash

/project:task-breakdown ./requirements/feature.md ./tasks/feature-breakdown

```

What it does:

• Analyzes complex tasks or requirements
• Uses domain-aware breakdown strategies
• Generates detailed subtask hierarchies
• Provides implementation sequencing and dependency analysis
• Creates comprehensive breakdown reports

🧠 AI-Powered Analysis

• Smart Requirement Extraction: Automatically identifies core features, user stories, and technical requirements
• Intelligent Task Generation: Creates actionable tasks from natural language descriptions
• Complexity Assessment: AI-driven complexity scoring (1-10) with breakdown recommendations
• Dependency Inference: Automatically detects task dependencies and prerequisites

📊 Structured Output

• JSON Task Database: Complete task metadata with hierarchical relationships
• Markdown Task Lists: Human-readable task organization following established patterns
• Individual Task Files: Detailed files for complex tasks requiring focused work
• Implementation Roadmaps: Phased development plans with critical path analysis

🔄 Intelligent Task Management

• Hierarchical Structure: Tasks → Subtasks → Sub-subtasks with clear relationships
• Priority Assignment: Business impact and technical complexity-based prioritization
• Effort Estimation: Realistic time estimates based on complexity analysis
• Quality Validation: Comprehensive acceptance criteria and test strategies

Task JSON Schema

```json

{

"id": 1,

"title": "User Authentication System",

"description": "Implement secure user authentication with OAuth2",

"status": "pending",

"priority": "high",

"complexity": 8,

"estimatedHours": 24,

"dependencies": [2, 5],

"category": "development",

"tags": ["backend", "security", "authentication"],

"details": "Comprehensive implementation requirements...",

"testStrategy": "Unit tests, integration tests, security testing...",

"acceptanceCriteria": [

"Users can register with email/password",

"OAuth2 integration with Google/GitHub works"

],

"subtasks": [

{

"id": 1,

"title": "OAuth2 Configuration Setup",

"complexity": 4,

"estimatedHours": 4

}

]

}

```

Markdown Task List Format

```markdown

# Feature Implementation

Auto-generated from: {source_file}

Generated: {timestamp}

Summary of requirements and scope

• Total Tasks: 12
• Estimated Effort: 156 hours
• Complexity Distribution: 3 High, 5 Medium, 4 Low

🔧 **[T001]** User Authentication System (High Priority, 24h)

Dependencies: T002 (Database Setup), T003 (Sec