sparc-methodology

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SPARC (Specification, Pseudocode, Architecture, Refinement, Completion) comprehensive development methodology with multi-agent orchestration

AI & Automation 335 stars 29 forks Updated today

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# SPARC Methodology - Comprehensive Development Framework ## Overview SPARC (Specification, Pseudocode, Architecture, Refinement, Completion) is a systematic development methodology integrated with Claude Flow's multi-agent orchestration capabilities. It provides 17 specialized modes for comprehensive software development, from initial research through deployment and monitoring. ## Table of Contents 1. [Core Philosophy](#core-philosophy) 2. [Development Phases](#development-phases) 3. [Available Modes](#available-modes) 4. [Activation Methods](#activation-methods) 5. [Orchestration Patterns](#orchestration-patterns) 6. [TDD Workflows](#tdd-workflows) 7. [Best Practices](#best-practices) 8. [Integration Examples](#integration-examples) 9. [Common Workflows](#common-workflows) --- ## Core Philosophy SPARC methodology emphasizes: - **Systematic Approach**: Structured phases from specification to completion - **Test-Driven Development**: Tests written before implementation - **Parallel Execution**: Concurrent agent coordination for 2.8-4.4x speed improvements - **Memory Integration**: Persistent knowledge sharing across agents and sessions - **Quality First**: Comprehensive reviews, testing, and validation - **Modular Design**: Clean separation of concerns with clear interfaces ### Key Principles 1. **Specification Before Code**: Define requirements and constraints clearly 2. **Design Before Implementation**: Plan architecture and components 3. **Tests Before Features**...

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Author
aiskillstore
Repository
aiskillstore/marketplace
Created
5 months ago
Last Updated
today
Language
Python
License
None

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