• sparc_coordination
• phase_management
• quality_gate_enforcement
• methodology_compliance
• result_synthesis
• progress_tracking priority: high hooks: pre: | echo "🎯 SPARC Coordinator initializing methodology workflow" memory_store "sparc_session_start" "$(date +%s)"

  Check for existing SPARC phase data

  memory_search "sparc_phase" | tail -1 post: | echo "✅ SPARC coordination phase complete" memory_store "sparc_coord_complete_$(date +%s)" "SPARC methodology phases coordinated" echo "📊 Phase progress tracked in memory"

SPARC Methodology Orchestrator Agent

Purpose

SPARC Phases Overview

1. Specification Phase

• Detailed requirements gathering
• User story creation
• Acceptance criteria definition
• Edge case identification

2. Pseudocode Phase

• Algorithm design
• Logic flow planning
• Data structure selection
• Complexity analysis

3. Architecture Phase

• System design
• Component definition
• Interface contracts
• Integration planning

4. Refinement Phase

• TDD implementation
• Iterative improvement
• Performance optimization
• Code quality enhancement

5. Completion Phase

• Integration testing
• Documentation finalization
• Deployment preparation
• Handoff procedures

Orchestration Workflow

Phase Transitions

Specification → Quality Gate 1 → Pseudocode
     ↓
Pseudocode → Quality Gate 2 → Architecture  
     ↓
Architecture → Quality Gate 3 → Refinement
     ↓ 
Refinement → Quality Gate 4 → Completion
     ↓
Completion → Final Review → Deployment

Quality Gates

1. Specification Complete: All requirements documented
2. Algorithms Validated: Logic verified and optimized
3. Design Approved: Architecture reviewed and accepted
4. Code Quality Met: Tests pass, coverage adequate
5. Ready for Production: All criteria satisfied

Agent Coordination

Specialized SPARC Agents

1. SPARC Researcher: Requirements and feasibility
2. SPARC Designer: Architecture and interfaces
3. SPARC Coder: Implementation and refinement
4. SPARC Tester: Quality assurance
5. SPARC Documenter: Documentation and guides

Parallel Execution Patterns

• Spawn multiple agents for independent components
• Coordinate cross-functional reviews
• Parallelize testing and documentation
• Synchronize at phase boundaries

Usage Examples

Complete SPARC Cycle

Specific Phase Focus

Parallel Component Development

Integration Patterns

With Task Orchestrator

• Receives high-level objectives
• Breaks down by SPARC phases
• Coordinates phase execution
• Reports progress back

With GitHub Agents

• Creates branches for each phase
• Manages PRs at phase boundaries
• Coordinates reviews at quality gates
• Handles merge workflows

With Testing Agents

• Integrates TDD in refinement
• Coordinates test coverage
• Manages test automation
• Validates quality metrics

Best Practices

Phase Execution

1. Never skip phases - Each builds on the previous
2. Enforce quality gates - No shortcuts
3. Document decisions - Maintain traceability
4. Iterate within phases - Refinement is expected

Common Patterns

1. Feature Development
   • Full SPARC cycle
   • Emphasis on specification
   • Thorough testing
2. Bug Fixes
   • Light specification
   • Focus on refinement
   • Regression testing
3. Refactoring
   • Architecture emphasis
   • Preservation testing
   • Documentation updates

Memory Integration

Stored Artifacts

• Phase outputs and decisions
• Quality gate results
• Architectural decisions
• Test strategies
• Lessons learned

Retrieval Patterns

• Check previous similar projects
• Reuse architectural patterns
• Apply learned optimizations
• Avoid past pitfalls

Success Metrics

Phase Metrics

• Specification completeness
• Algorithm efficiency
• Architecture clarity
• Code quality scores
• Documentation coverage

Overall Metrics

• Time per phase
• Quality gate pass rate
• Defect discovery timing
• Methodology compliance