Auto-Spec Command

FULLY AUTONOMOUS spec-driven development that NEVER prompts the user for review. Creates requirements, design, and tasks documents through consensus-building between specialized agents, then implements each task with continuous quality validation.

Workflow Overview

This command automates the entire spec workflow WITHOUT ANY USER INTERACTION:

1. Requirements Generation - With multi-agent review (NOT user review)
2. Design Creation - With architectural consensus (NOT user approval)
3. Task Planning - With implementation strategy validation (NOT user validation)
4. Task Implementation - With continuous quality checks (NOT user checks)
5. Final Deliverable - Comprehensive summary and test documentation

CRITICAL: This command is designed to run COMPLETELY AUTONOMOUSLY. It will:

• NEVER prompt you for review during the workflow
• NEVER wait for approval at any stage
• ALWAYS use agent collaboration instead of user review
• ONLY return to you with the final deliverable

Inputs

Accept natural language description and extract:

• feature: The feature or task description to implement
• skip_final_review: Optional flag to skip final user review (default: false)
• project_path: Optional project path (defaults to current working directory)
• spec_name: Optional spec name (auto-generated from feature if not provided)
• steering_context: Optional flag to load steering documents (default: true)
• parallel_execution: Optional flag for parallel task execution (default: true)
• quality_threshold: Quality threshold for agent consensus (default: 0.8)

Examples:

• /auto-spec user authentication with OAuth2 and JWT tokens
• /auto-spec add real-time notifications using WebSockets --skip-final-review
• /auto-spec implement event-driven order processing system

Task

Execute autonomous spec-driven development workflow with multi-agent collaboration.

CRITICAL INSTRUCTIONS FOR AUTONOMOUS EXECUTION

1. NEVER prompt the user for review at ANY point during the workflow
2. NEVER use mcp__spec-workflow__request-approval tool
3. NEVER wait for user interaction or approval
4. ALWAYS spawn sub-agents instead of requesting user review
5. ALWAYS continue autonomously through ALL phases

Phase 1: Context Preparation

1. Load Project Context

   • Use mcp__spec-workflow__get-steering-context if steering documents exist
   • Use mcp__spec-workflow__get-template-context to understand document formats
   • Analyze existing codebase patterns and architecture

2. Feature Analysis

   • Spawn planner-agent agent to analyze feature requirements
   • Identify complexity level and required capabilities

Phase 2: Requirements Document Creation

1. Initial Requirements Generation

   • Use mcp__spec-workflow__spec-workflow-guide to understand workflow
   • Create initial requirements using mcp__spec-workflow__create-spec-doc

2. Multi-Agent Requirements Review (INSTEAD of user review)

   • Spawn plan-reviewer-agent to validate architectural alignment
   • Spawn security-analyzer-agent to identify security requirements
   • Spawn performance-analyzer-agent to define performance criteria
   • Iterate until consensus reached

Phase 3: Design Document Creation

1. Initial Design Generation

   • Create design document based on finalized requirements
   • Include architectural decisions, data models, and interfaces

2. Multi-Agent Design Review (INSTEAD of user review)

   • Spawn plan-reviewer-agent for architectural patterns validation
   • Spawn refactorer-agent for implementation feasibility
   • Spawn test-writer-agent for testability assessment

Phase 4: Task Planning

1. Task Decomposition

   • Use mcp__spec-workflow__create-spec-doc to create tasks document
   • Break down implementation into granular, testable tasks

2. Task Validation (INSTEAD of user review)

   • Spawn planner-agent to validate task completeness
   • Spawn code-explainer-agent to assess task dependencies

Phase 5: Implementation Execution

For each task in the implementation plan:

1. Task Implementation

   • Mark task as in-progress using mcp__spec-workflow__manage-tasks
   • Spawn appropriate specialized agent(s) for implementation

2. Quality Validation Loop (INSTEAD of user review)

   • Spawn refactorer-agent to review implementation
   • Spawn test-writer-agent to verify test coverage
   • Iterate until quality threshold met

3. Task Completion

   • Mark task as completed
   • Move to next task (parallel execution if enabled)

Phase 6: Final Quality Assurance

1. Integration Testing - Spawn test-writer-agent to create integration tests
2. Performance Validation - Spawn performance-analyzer-agent to assess performance
3. Security Audit - Spawn security-analyzer-agent for final security review

Phase 7: Deliverable Generation

Create comprehensive summary including:

• Key architectural decisions and rationale
• Trade-offs made during implementation
• Technical debt incurred (if any)
• Test documentation and coverage report

Output

Structured Response Format

# Autonomous Spec Implementation: [Feature Name]

## Implementation Summary

- Spec Name: [spec-name]
- Total Tasks: [X completed / Y total]
- Execution Time: [duration]
- Quality Score: [X/10]

## Key Decisions and Rationale

[List major architectural choices with reasoning]

## Testing Guide

- Unit Tests: [X% coverage]
- Integration Tests: [Y scenarios]

## Next Steps

[Recommended follow-up actions]

Usage Examples

/auto-spec add user profile picture upload with image resizing
/auto-spec implement event-driven microservices architecture for order processing
/auto-spec refactor authentication system --quality-threshold=0.9