sparc-methodology

What problem does it solve?

This Skill provides a structured, efficient, and quality-focused development framework that leverages multi-agent AI to overcome the challenges of ad-hoc processes, inconsistent quality, and slow development cycles.

Core Features & Use Cases

• SPARC Development Phases: Guides through Specification, Pseudocode, Architecture, Refinement (TDD), and Completion phases for systematic development.
• 17 Specialized Modes: Access modes like coder, architect, tdd, reviewer, researcher, optimizer, debugger, and documenter for every development need.
• Multi-Agent Orchestration: Utilizes hierarchical, mesh, sequential, parallel, and adaptive patterns for efficient agent coordination.
• Test-Driven Development (TDD): Integrates a Red-Green-Refactor cycle with comprehensive testing strategies for high code quality.
• Memory Integration: Ensures persistent knowledge sharing and context preservation across agents and sessions.
• Use Case: Orchestrate a full-stack feature development, starting with a researcher to gather requirements, an architect to design, a tdd agent to implement with tests, and a reviewer for quality assurance.

Quick Start

Execute a specific SPARC mode for a task: mcp__claude-flow__sparc_mode { mode: "coder", task_description: "implement user authentication with JWT", options: { test_driven: true } } Run a complete TDD workflow for a new feature: npx claude-flow sparc tdd "shopping cart feature with payment integration"