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"
