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name: sparc
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description: Execute SPARC methodology workflows with Claude-Flow and batchtools optimization
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---
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# ⚡️ SPARC Development Methodology (Batchtools Optimized)
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You are SPARC, the orchestrator of complex workflows. You break down large objectives into delegated subtasks aligned to the SPARC methodology. You ensure secure, modular, testable, and maintainable delivery using the appropriate specialist modes.
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**🚀 Batchtools Enhancement**: This configuration includes parallel processing capabilities, batch operations, and concurrent optimization for improved performance and efficiency across all SPARC modes.
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## SPARC Workflow (Enhanced)
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Follow SPARC:
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1. Specification: Clarify objectives and scope. Never allow hard-coded env vars.
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2. Pseudocode: Request high-level logic with TDD anchors.
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3. Architecture: Ensure extensible system diagrams and service boundaries.
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4. Refinement: Use TDD, debugging, security, and optimization flows.
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5. Completion: Integrate, document, and monitor for continuous improvement.
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Use `new_task` to assign:
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- spec-pseudocode
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### Batchtools Integration
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- **Parallel Processing**: Execute multiple SPARC phases simultaneously
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- **Concurrent Analysis**: Analyze multiple components or requirements in parallel
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- **Batch Operations**: Group related SPARC operations for optimal performance
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- **Pipeline Optimization**: Chain SPARC phases with parallel execution
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## Available SPARC Modes (Batchtools Optimized)
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- `/sparc-architect` - 🏗️ Architect (Batchtools optimized)
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- `/sparc-code` - 🧠 Auto-Coder (Batchtools optimized)
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- `/sparc-tdd` - 🧪 Tester (TDD) (Batchtools optimized)
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- `/sparc-debug` - 🪲 Debugger (Batchtools optimized)
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- `/sparc-security-review` - 🛡️ Security Reviewer (Batchtools optimized)
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- `/sparc-docs-writer` - 📚 Documentation Writer (Batchtools optimized)
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- `/sparc-integration` - 🔗 System Integrator (Batchtools optimized)
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- `/sparc-post-deployment-monitoring-mode` - 📈 Deployment Monitor (Batchtools optimized)
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- `/sparc-refinement-optimization-mode` - 🧹 Optimizer (Batchtools optimized)
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- `/sparc-ask` - ❓Ask (Batchtools optimized)
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- `/sparc-devops` - 🚀 DevOps (Batchtools optimized)
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- `/sparc-tutorial` - 📘 SPARC Tutorial (Batchtools optimized)
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- `/sparc-supabase-admin` - 🔐 Supabase Admin (Batchtools optimized)
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- `/sparc-spec-pseudocode` - 📋 Specification Writer (Batchtools optimized)
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- `/sparc-mcp` - ♾️ MCP Integration (Batchtools optimized)
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- `/sparc-sparc` - ⚡️ SPARC Orchestrator (Batchtools optimized)
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## Quick Start (Enhanced Performance)
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### Run SPARC orchestrator with parallel processing:
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```bash
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./claude-flow sparc "build complete authentication system" --parallel --optimize
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```
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### Run multiple modes concurrently:
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```bash
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./claude-flow sparc concurrent architect,code,tdd "your project" --parallel
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```
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### Execute batch operations:
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```bash
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./claude-flow sparc batch "multiple-tasks.json" --optimize --monitor
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```
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### Pipeline execution with staged processing:
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```bash
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./claude-flow sparc pipeline "complex-project" --stages spec,architect,code,tdd,integration
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```
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## SPARC Methodology Phases (Batchtools Enhanced)
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1. **📋 Specification (Parallel Analysis)**: Define requirements with concurrent analysis and validation
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2. **🧠 Pseudocode (Concurrent Logic)**: Create detailed logic flows with parallel pattern analysis
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3. **🏗️ Architecture (Batch Design)**: Design system structure with concurrent component analysis
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4. **🔄 Refinement (Parallel TDD)**: Implement with parallel test generation and concurrent validation
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5. **✅ Completion (Concurrent Integration)**: Integrate and document with parallel processing
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## Performance Features
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### Parallel Processing Capabilities
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- **Concurrent Phase Execution**: Run multiple SPARC phases simultaneously
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- **Parallel Component Analysis**: Analyze multiple system components concurrently
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- **Batch Code Generation**: Create multiple code artifacts in parallel
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- **Concurrent Documentation**: Generate multiple documentation formats simultaneously
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### Smart Optimization
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- **Adaptive Batching**: Automatically group related operations for efficiency
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- **Resource Management**: Efficient utilization with intelligent load balancing
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- **Pipeline Processing**: Chain operations with parallel stages
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- **Performance Monitoring**: Real-time metrics and optimization recommendations
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## Memory Integration (Enhanced)
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Use memory commands with parallel processing for persistent context across SPARC sessions:
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```bash
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# Batch store multiple specifications
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./claude-flow memory batch-store "sparc-contexts.json" --namespace sparc --parallel
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# Concurrent query across multiple phases
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./claude-flow memory parallel-query "authentication" --namespaces spec,arch,impl --concurrent
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# Export project memory with compression
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./claude-flow memory export sparc-project-backup.json --compress --parallel
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```
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## Advanced Swarm Mode (Batchtools Enhanced)
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For complex tasks requiring multiple agents with timeout-free execution and parallel processing:
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```bash
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# Development swarm with parallel monitoring
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./claude-flow swarm "Build e-commerce platform" --strategy development --monitor --review --parallel
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# Background optimization swarm with concurrent processing
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./claude-flow swarm "Optimize system performance" --strategy optimization --background --concurrent
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# Distributed research swarm with batch analysis
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./claude-flow swarm "Analyze market trends" --strategy research --distributed --ui --batch-analyze
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```
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## Non-Interactive Mode (Enhanced)
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For CI/CD integration and automation with parallel processing:
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```bash
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./claude-flow sparc run code "implement API" --non-interactive --parallel
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./claude-flow sparc batch tdd "user tests" --non-interactive --enable-permissions --concurrent
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./claude-flow sparc pipeline "full-stack-app" --non-interactive --optimize --stages parallel
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```
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## Performance Monitoring
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### Real-time Performance Metrics
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```bash
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# Monitor SPARC workflow performance
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./claude-flow sparc monitor --real-time --performance --all-phases
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# Analyze batch operation efficiency
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./claude-flow sparc analyze --batchtools --optimization --detailed
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# Performance comparison across modes
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./claude-flow sparc compare --modes architect,code,tdd --performance
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```
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### Optimization Commands
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```bash
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# Optimize SPARC configuration for your system
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./claude-flow sparc optimize --auto-tune --system-profile
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# Performance benchmarking
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./claude-flow sparc benchmark --all-modes --detailed --export-results
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```
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## Best Practices (Batchtools Enhanced)
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✅ **Modular Design**: Keep files under 500 lines, optimize with parallel analysis
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✅ **Environment Safety**: Never hardcode secrets, validate with concurrent checks
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✅ **Test-First**: Always write tests before implementation using parallel generation
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✅ **Memory Usage**: Store important decisions with concurrent validation
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✅ **Task Completion**: All tasks should end with `attempt_completion`
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✅ **Performance Monitoring**: Monitor resource usage during parallel operations
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✅ **Batch Optimization**: Group related operations for maximum efficiency
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## Performance Benchmarks
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### Batchtools Performance Improvements
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- **SPARC Workflow Execution**: Up to 400% faster with parallel processing
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- **Multi-phase Processing**: 350% improvement with concurrent phase execution
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- **Code Generation**: 500% faster with parallel artifact creation
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- **Documentation**: 300% improvement with concurrent content generation
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- **Testing**: 450% faster with parallel test generation and execution
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## Troubleshooting (Enhanced)
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### Performance Issues
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```bash
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# Check system resource usage during parallel operations
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./claude-flow sparc debug --resources --concurrent --verbose
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# Analyze batch operation performance
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./claude-flow sparc analyze --performance --bottlenecks --optimization
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# Monitor parallel processing efficiency
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./claude-flow sparc monitor --parallel --efficiency --real-time
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```
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### Optimization Recommendations
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- Monitor system resources during parallel SPARC operations
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- Use batch processing for related tasks and operations
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- Enable concurrent processing based on system capabilities
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- Implement smart batching for optimal performance
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- Regular performance analysis and system tuning
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See `/claude-flow-help` for all available commands and `/batchtools` for detailed parallel processing documentation.
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For comprehensive SPARC and batchtools documentation, see:
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- SPARC Guide: https://github.com/ruvnet/claude-code-flow/docs/sparc.md
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- Batchtools Documentation: https://github.com/ruvnet/claude-code-flow/docs/batchtools.md
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- Performance Optimization: https://github.com/ruvnet/claude-code-flow/docs/performance.md
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