- Reorganize v3/ into implementation/ subfolders: - planning/, architecture/, migration/, integration/ - security/, adrs/, research/, swarm-plans/ - Add 15-agent concurrent swarm implementation plans: - SWARM-OVERVIEW.md: Hierarchical mesh topology, 4 phases - AGENT-SPECIFICATIONS.md: 15 agent configs with capabilities - TDD-LONDON-SCHOOL-PLAN.md: Mock-first TDD methodology - BENCHMARK-OPTIMIZATION.md: Performance targets (2.49x-7.47x) - DEPLOYMENT-PLAN.md: Release strategy, CI/CD, rollback - GITHUB-ISSUE-TRACKING.md: Issue workflow with agent replies - Update .claude/settings.json with proper hooks format - Add bash aliases for claude --dangerously-skip-permissions 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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SPARC Methodology Documentation
Overview
SPARC (Specification → Pseudocode → Architecture → Refinement → Code) is a systematic development methodology that provides structured, mode-based development environments for different software development tasks. This comprehensive approach ensures consistent, high-quality results across all phases of development.
Core Philosophy
SPARC transforms development from ad-hoc coding to systematic engineering by:
- Specification First: Define what needs to be built before building it
- Pseudocode Planning: Think through the logic before implementation
- Architecture Design: Plan the system structure and relationships
- Refinement Process: Iteratively improve design and implementation
- Code Implementation: Execute with clear direction and validated approach
Key Benefits
- Systematic Approach: Reduces errors through structured methodology
- Mode Specialization: Each development task has an optimized execution environment
- Memory Integration: Persistent context across development sessions
- Parallel Execution: Multiple modes can work concurrently using BatchTool
- Quality Assurance: Built-in best practices and validation steps
SPARC Modes Reference
Core Development Modes
1. orchestrator - Multi-Agent Task Orchestration
- Purpose: Coordinates complex development tasks across multiple agents
- Best For: Large projects requiring multiple specialists
- Tools: TodoWrite, TodoRead, Task, Memory, Bash
- Usage Pattern: Central coordination with distributed execution
- Best Practices:
- Use batch operations for multiple file operations
- Store intermediate results in Memory for team coordination
- Enable parallel execution for independent tasks
- Monitor resource usage during intensive operations
- Leverage centralized coordination for team management
2. coder - Autonomous Code Generation
- Purpose: Implementation and code generation with best practices
- Best For: Feature development, bug fixes, code refactoring
- Tools: Read, Write, Edit, MultiEdit, Bash, TodoWrite
- Usage Pattern: Direct implementation with testing validation
- Best Practices:
- Follow existing code patterns and conventions
- Write comprehensive tests for new code
- Use batch file operations for efficiency
- Implement proper error handling
- Add meaningful comments and documentation
3. architect - System Design and Architecture
- Purpose: High-level system design and architectural planning
- Best For: System architecture, technology decisions, design patterns
- Tools: Write, Memory, TodoWrite, Read
- Usage Pattern: Analysis → Design → Documentation → Validation
- Best Practices:
- Design for scalability and maintainability
- Document architectural decisions
- Create clear component boundaries
- Plan for future extensibility
- Consider performance implications
4. tdd - Test-Driven Development
- Purpose: London School TDD methodology implementation
- Best For: Feature development with comprehensive test coverage
- Tools: Write, Edit, Bash, TodoWrite, Read
- Usage Pattern: Red → Green → Refactor cycle
- Best Practices:
- Write tests before implementation
- Follow red-green-refactor cycle
- Aim for comprehensive test coverage
- Test edge cases and error conditions
- Keep tests simple and focused
Analysis and Research Modes
5. researcher - Deep Research and Analysis
- Purpose: Comprehensive research and information gathering
- Best For: Technology evaluation, market research, requirements gathering
- Tools: WebSearch, WebFetch, Read, Memory, TodoWrite
- Usage Pattern: Search → Analysis → Documentation → Synthesis
- Best Practices:
- Verify information from multiple sources
- Store findings in Memory for later reference
- Create structured research reports
- Cross-reference and validate data
- Document sources and methodology
6. analyst - Code and Data Analysis
- Purpose: Deep analysis of codebases, performance, and patterns
- Best For: Code reviews, performance analysis, technical debt assessment
- Tools: Read, Grep, Glob, Memory, TodoWrite
- Usage Pattern: Discovery → Analysis → Insights → Recommendations
- Best Practices:
- Use efficient search patterns
- Analyze code metrics
- Identify patterns and anomalies
- Store analysis results
- Create actionable insights
Quality Assurance Modes
7. reviewer - Code Review and Quality Optimization
- Purpose: Comprehensive code review and quality improvement
- Best For: Pull request reviews, code quality audits
- Tools: Read, Edit, TodoWrite, Memory
- Usage Pattern: Review → Analysis → Feedback → Validation
- Best Practices:
- Check for security vulnerabilities
- Verify code follows conventions
- Suggest performance improvements
- Ensure proper error handling
- Validate test coverage
8. tester - Comprehensive Testing and Validation
- Purpose: Test creation, execution, and validation
- Best For: Test suite development, QA validation, regression testing
- Tools: Write, Bash, Read, TodoWrite
- Usage Pattern: Planning → Implementation → Execution → Reporting
- Best Practices:
- Test all code paths
- Include edge cases
- Verify error handling
- Test performance characteristics
- Automate test execution
9. security-review - Security Analysis and Hardening
- Purpose: Security vulnerability analysis and remediation
- Best For: Security audits, penetration testing, compliance validation
- Tools: Read, Grep, Bash, Write, TodoWrite
- Usage Pattern: Assessment → Analysis → Remediation → Validation
- Best Practices:
- Follow OWASP guidelines
- Check for common vulnerabilities
- Validate input sanitization
- Review authentication mechanisms
- Test authorization controls
Development Support Modes
10. debugger - Systematic Debugging
- Purpose: Debug and fix issues with systematic approach
- Best For: Bug investigation, error resolution, performance issues
- Tools: Read, Edit, Bash, TodoWrite
- Usage Pattern: Reproduction → Analysis → Resolution → Validation
- Best Practices:
- Reproduce issues consistently
- Use systematic debugging approach
- Add diagnostic logging
- Fix root causes not symptoms
- Write tests to prevent regression
11. optimizer - Performance Optimization
- Purpose: Performance analysis and optimization
- Best For: Performance bottlenecks, resource optimization, scalability
- Tools: Read, Edit, Bash, Memory, TodoWrite
- Usage Pattern: Profiling → Analysis → Optimization → Validation
- Best Practices:
- Profile before optimizing
- Focus on bottlenecks
- Measure improvements
- Balance readability and performance
- Document optimization rationale
12. documenter - Documentation Generation
- Purpose: Technical documentation creation and maintenance
- Best For: API docs, user guides, technical specifications
- Tools: Write, Read, TodoWrite
- Usage Pattern: Analysis → Structure → Content → Review
- Best Practices:
- Keep documentation current
- Include examples
- Document APIs thoroughly
- Use clear language
- Organize logically
Specialized Modes
13. devops - DevOps and Infrastructure
- Purpose: Infrastructure, CI/CD, deployment automation
- Best For: Pipeline setup, containerization, infrastructure as code
- Tools: Write, Bash, Read, TodoWrite
- Usage Pattern: Planning → Configuration → Automation → Monitoring
- Best Practices:
- Automate repetitive tasks
- Use infrastructure as code
- Implement proper monitoring
- Ensure security best practices
- Document deployment procedures
14. integration - System Integration
- Purpose: API integration, service communication, data flow
- Best For: Third-party integrations, microservices communication
- Tools: Read, Write, Bash, WebFetch, TodoWrite
- Usage Pattern: Analysis → Design → Implementation → Testing
- Best Practices:
- Handle integration failures gracefully
- Implement proper retry mechanisms
- Monitor integration health
- Document API contracts
- Test integration scenarios
15. mcp - MCP Tool Development
- Purpose: Model Context Protocol tool development and integration
- Best For: Claude integration, tool development, protocol implementation
- Tools: Write, Read, Bash, TodoWrite
- Usage Pattern: Specification → Implementation → Testing → Integration
- Best Practices:
- Follow MCP specification
- Implement proper error handling
- Test tool interactions
- Document tool capabilities
- Validate protocol compliance
16. ask - Requirements Analysis
- Purpose: Requirement gathering and clarification
- Best For: Project scoping, stakeholder communication, requirement validation
- Tools: WebSearch, Memory, TodoWrite, Read
- Usage Pattern: Discovery → Analysis → Clarification → Documentation
- Best Practices:
- Ask clarifying questions
- Document assumptions
- Validate understanding
- Identify edge cases
- Prioritize requirements
17. tutorial - Educational Content Creation
- Purpose: Tutorial and learning content development
- Best For: Documentation, training materials, educational resources
- Tools: Write, Read, TodoWrite, WebSearch
- Usage Pattern: Planning → Content → Examples → Review
- Best Practices:
- Structure content logically
- Include practical examples
- Test all code examples
- Consider different skill levels
- Provide clear next steps
Command Syntax and Options
Basic Commands
# List all available SPARC modes
npx claude-flow@alpha sparc modes [--verbose]
# Get detailed information about a specific mode
npx claude-flow@alpha sparc info <mode-slug>
# Execute a task in a specific SPARC mode
npx claude-flow@alpha sparc run <mode> "<task-description>"
# Run Test-Driven Development workflow
npx claude-flow@alpha sparc tdd "<feature-description>"
Command Options
Global Flags
--help, -h- Show help information--verbose, -v- Enable detailed output--dry-run, -d- Show configuration without executing--non-interactive, -n- Run without user prompts--namespace <name>- Use custom memory namespace
Permission Control
--enable-permissions- Enable permission prompts (default: auto-skip)--dangerously-skip-permissions- Skip all permission prompts (automatically applied)
Configuration
--config <path>- Use custom MCP configuration file--interactive, -i- Enable interactive mode (for TDD workflow)
Advanced Usage Examples
Single Mode Execution
# Code implementation with custom namespace
npx claude-flow@alpha sparc run code "implement user authentication" --namespace auth_system
# Architecture planning with verbose output
npx claude-flow@alpha sparc run architect "design microservices architecture" --verbose
# Test-driven development for payment system
npx claude-flow@alpha sparc run tdd "payment processing with validation" --namespace payments
# Security review of existing codebase
npx claude-flow@alpha sparc run security-review "audit authentication system" --verbose
# Performance optimization with non-interactive mode
npx claude-flow@alpha sparc run optimizer "optimize database queries" --non-interactive
TDD Workflow
# Interactive TDD workflow (step-by-step)
npx claude-flow@alpha sparc tdd "user registration system" --interactive
# Automated TDD workflow
npx claude-flow@alpha sparc tdd "shopping cart functionality" --namespace ecommerce
# TDD with custom configuration
npx claude-flow@alpha sparc tdd "payment gateway integration" --config ./custom-mcp.json
Pipeline and Batch Execution
BatchTool Integration
SPARC modes can be orchestrated using BatchTool for parallel and sequential execution:
Parallel Execution
# Run multiple modes concurrently
batchtool run --parallel \
"npx claude-flow@alpha sparc run architect 'system design' --non-interactive" \
"npx claude-flow@alpha sparc run security-review 'security requirements' --non-interactive" \
"npx claude-flow@alpha sparc run researcher 'technology evaluation' --non-interactive"
Sequential Pipeline
# Sequential execution with result chaining
batchtool pipeline \
--stage1 "npx claude-flow@alpha sparc run ask 'gather requirements' --non-interactive" \
--stage2 "npx claude-flow@alpha sparc run architect 'design system' --non-interactive" \
--stage3 "npx claude-flow@alpha sparc run code 'implement features' --non-interactive" \
--stage4 "npx claude-flow@alpha sparc run tdd 'create test suite' --non-interactive"
Boomerang Pattern
# Iterative development with feedback loops
batchtool orchestrate --boomerang \
--research "npx claude-flow@alpha sparc run researcher 'best practices' --non-interactive" \
--design "npx claude-flow@alpha sparc run architect 'system design' --non-interactive" \
--implement "npx claude-flow@alpha sparc run code 'feature implementation' --non-interactive" \
--test "npx claude-flow@alpha sparc run tdd 'validation suite' --non-interactive" \
--refine "npx claude-flow@alpha sparc run optimizer 'performance tuning' --non-interactive"
Full Development Pipeline
Complete Feature Development
# End-to-end feature development pipeline
npx claude-flow@alpha sparc pipeline "user authentication system" \
--phases "ask,architect,security-review,code,tdd,optimizer,documenter" \
--namespace "auth_feature" \
--parallel-compatible "ask,security-review,documenter"
Microservices Development
# Parallel microservices development
batchtool run --max-parallel 3 \
"npx claude-flow@alpha sparc run code 'user service' --namespace users --non-interactive" \
"npx claude-flow@alpha sparc run code 'order service' --namespace orders --non-interactive" \
"npx claude-flow@alpha sparc run code 'payment service' --namespace payments --non-interactive" \
"npx claude-flow@alpha sparc run integration 'service communication' --namespace integration --non-interactive"
TDD Workflow Integration
London School TDD Methodology
The SPARC TDD mode implements London School TDD with the following phases:
1. Test Planning & Analysis (10 mins)
- Analyze requirements and existing architecture
- Define test boundaries and acceptance criteria
- Plan test structure (unit, integration, e2e)
- Identify test doubles needed (mocks, stubs, spies)
2. Red Phase - Write Failing Tests (20 mins)
- Create comprehensive test structure
- Write tests following London School TDD principles
- Focus on behavior/contract tests with test doubles
- Ensure all tests fail with meaningful messages
3. Green Phase - Minimal Implementation (20 mins)
- Implement only enough code to pass tests
- Make one test pass at a time
- Maintain modularity and proper error handling
- Track coverage as you progress
4. Refactor Phase - Optimize & Clean (15 mins)
- Refactor while keeping tests green
- Extract common patterns and improve clarity
- Optimize algorithms and reduce duplication
- Improve test maintainability
5. Documentation & Validation (10 mins)
- Generate coverage reports
- Document test scenarios and execution guide
- Set up CI/CD test configuration
- Validate against acceptance criteria
TDD Command Examples
# Start interactive TDD workflow
npx claude-flow@alpha sparc tdd "shopping cart with discounts" --interactive
# Automated TDD with custom namespace
npx claude-flow@alpha sparc tdd "payment validation system" --namespace payments
# TDD with integration testing focus
npx claude-flow@alpha sparc run tdd "API endpoint with database" --namespace api_tests
Memory Namespace Usage
Namespace Strategy
Memory namespaces organize context and enable coordination between modes:
Namespace Patterns
feature_<name>- Feature development contextbug_<id>- Bug fix trackingarch_<system>- Architecture planningtest_<suite>- Test developmentintegration_<service>- Integration work
Memory Operations
# Store progress and context
npx claude-flow@alpha memory store <namespace>_progress "Current implementation status"
npx claude-flow@alpha memory store <namespace>_decisions "Key architectural decisions"
npx claude-flow@alpha memory store <namespace>_blockers "Current impediments"
# Query previous work and context
npx claude-flow@alpha memory query <namespace>
npx claude-flow@alpha memory query <namespace>_architecture
npx claude-flow@alpha memory query <namespace>_requirements
# List all namespaces
npx claude-flow@alpha memory list
Cross-Mode Coordination
Shared Context Example
# Architect stores system design
npx claude-flow@alpha sparc run architect "design user system" --namespace user_feature
# Coder implements based on architect's design
npx claude-flow@alpha sparc run code "implement user CRUD" --namespace user_feature
# Tester validates implementation
npx claude-flow@alpha sparc run tdd "test user operations" --namespace user_feature
# All modes share the user_feature namespace for context
Practical Examples
Web Application Development
Full-Stack Development Pipeline
# 1. Requirements and research
npx claude-flow@alpha sparc run ask "e-commerce requirements" --namespace ecommerce
# 2. System architecture
npx claude-flow@alpha sparc run architect "microservices design" --namespace ecommerce
# 3. Parallel service development
batchtool run --parallel \
"npx claude-flow@alpha sparc run code 'user service API' --namespace ecommerce_users --non-interactive" \
"npx claude-flow@alpha sparc run code 'product catalog API' --namespace ecommerce_products --non-interactive" \
"npx claude-flow@alpha sparc run code 'order processing API' --namespace ecommerce_orders --non-interactive"
# 4. Integration and testing
npx claude-flow@alpha sparc run integration "service communication" --namespace ecommerce
npx claude-flow@alpha sparc run tdd "end-to-end testing" --namespace ecommerce
# 5. Security and optimization
batchtool run --parallel \
"npx claude-flow@alpha sparc run security-review 'security audit' --namespace ecommerce --non-interactive" \
"npx claude-flow@alpha sparc run optimizer 'performance tuning' --namespace ecommerce --non-interactive"
API Development
RESTful API with TDD
# Test-driven API development
npx claude-flow@alpha sparc tdd "RESTful user management API" --namespace user_api
# Add authentication layer
npx claude-flow@alpha sparc run security-review "API authentication" --namespace user_api
# Performance optimization
npx claude-flow@alpha sparc run optimizer "API response times" --namespace user_api
# Documentation generation
npx claude-flow@alpha sparc run documenter "API documentation" --namespace user_api
Bug Fix Workflow
Systematic Bug Resolution
# 1. Research and reproduction
npx claude-flow@alpha sparc run debugger "investigate login failures" --namespace bug_1234
# 2. Root cause analysis
npx claude-flow@alpha sparc run analyst "analyze authentication flow" --namespace bug_1234
# 3. Fix implementation with tests
npx claude-flow@alpha sparc run tdd "fix and test authentication" --namespace bug_1234
# 4. Security validation
npx claude-flow@alpha sparc run security-review "validate auth fix" --namespace bug_1234
DevOps and Infrastructure
CI/CD Pipeline Setup
# Infrastructure planning
npx claude-flow@alpha sparc run architect "CI/CD architecture" --namespace devops
# Pipeline implementation
npx claude-flow@alpha sparc run devops "GitHub Actions workflow" --namespace devops
# Monitoring and alerts
npx claude-flow@alpha sparc run devops "application monitoring" --namespace devops
# Documentation
npx claude-flow@alpha sparc run documenter "deployment guide" --namespace devops
Research and Analysis
Technology Evaluation
# Research phase
npx claude-flow@alpha sparc run researcher "JavaScript framework comparison" --namespace tech_eval
# Architecture implications
npx claude-flow@alpha sparc run architect "framework integration design" --namespace tech_eval
# Prototype development
npx claude-flow@alpha sparc run code "proof of concept" --namespace tech_eval
# Analysis and recommendation
npx claude-flow@alpha sparc run analyst "framework recommendation" --namespace tech_eval
Best Practices and Tips
Development Workflow
1. Start with Specification
- Always begin with
askmode to clarify requirements - Document assumptions and constraints
- Validate understanding before implementation
2. Use Memory Effectively
- Create meaningful namespace hierarchies
- Store key decisions and context
- Query previous work before starting new tasks
3. Leverage Parallel Execution
- Identify independent tasks for parallel execution
- Use BatchTool for concurrent mode execution
- Coordinate results through shared namespaces
4. Follow TDD Principles
- Write tests before implementation when applicable
- Maintain high test coverage
- Use TDD mode for feature development
5. Optimize Performance
- Profile before optimizing
- Use optimizer mode for performance improvements
- Balance readability with performance
Quality Assurance
1. Security First
- Always run security-review for sensitive features
- Follow OWASP guidelines
- Validate input and sanitize output
2. Code Quality
- Use reviewer mode for code quality checks
- Follow established coding conventions
- Maintain documentation alongside code
3. Testing Strategy
- Use comprehensive testing approach (unit, integration, e2e)
- Test edge cases and error conditions
- Automate test execution in CI/CD
Collaboration and Documentation
1. Cross-Mode Coordination
- Share context through memory namespaces
- Use consistent naming conventions
- Document inter-mode dependencies
2. Documentation Maintenance
- Keep documentation current with code changes
- Use documenter mode for comprehensive docs
- Include examples and usage patterns
3. Progress Tracking
- Store progress updates in memory
- Use meaningful commit messages
- Track blockers and resolutions
Common Patterns
1. Boomerang Development
Research → Design → Implement → Test → Optimize → Loop back
2. Parallel Feature Development
Multiple features developed concurrently with coordination
3. Pipeline Development
Sequential phases with hand-off between specialized modes
4. Iterative Refinement
Continuous improvement through multiple optimization cycles
Performance Optimization
1. Batch Operations
- Use batch file operations when possible
- Minimize context switching between modes
- Leverage parallel execution for independent tasks
2. Memory Management
- Use focused memory namespaces
- Clean up obsolete context
- Share common context efficiently
3. Resource Utilization
- Monitor resource usage during intensive operations
- Use non-interactive mode for automation
- Balance parallelism with resource constraints
Troubleshooting
Common Issues and Solutions
-
Mode Not Found
- Ensure
.roomodesfile exists in project directory - Run
npx claude-flow@alpha init --sparcto set up SPARC environment
- Ensure
-
Permission Issues
- Use
--enable-permissionsfor manual control - Default behavior uses
--dangerously-skip-permissionsfor efficiency
- Use
-
Memory Namespace Conflicts
- Use unique namespace names
- Query existing namespaces with
npx claude-flow@alpha memory list
-
BatchTool Integration
- Ensure BatchTool is installed and configured
- Use
--non-interactiveflag for parallel execution
-
Performance Issues
- Use
--verboseflag for debugging - Monitor resource usage
- Consider reducing parallelism
- Use
Advanced Configuration
Custom Mode Development
Create custom SPARC modes by extending the .roomodes configuration:
{
"customModes": [
{
"name": "Custom Mode",
"slug": "custom",
"roleDefinition": "Custom role description",
"customInstructions": "Specific instructions",
"groups": ["read", "edit", "command"],
"source": "custom"
}
]
}
Integration with IDEs
- Configure IDE to recognize SPARC commands
- Set up keyboard shortcuts for common operations
- Integrate with IDE task runners
CI/CD Integration
- Use SPARC modes in automated pipelines
- Configure parallel execution for build processes
- Integrate memory persistence for context sharing
Summary
SPARC provides a comprehensive, mode-based development methodology that transforms ad-hoc coding into systematic engineering. By leveraging specialized modes, memory persistence, and parallel execution capabilities, SPARC enables efficient, high-quality software development at scale.
Key advantages:
- Systematic Approach: Structured methodology reduces errors
- Mode Specialization: Optimized environments for specific tasks
- Parallel Execution: Concurrent development with BatchTool integration
- Memory Persistence: Context sharing across development sessions
- Quality Assurance: Built-in best practices and validation
Start with npx claude-flow@alpha sparc modes to explore available modes, and use npx claude-flow@alpha sparc run <mode> "<task>" to begin systematic development with SPARC.