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sparc-methodology

Orchestrate software development lifecycle phases with specialized AI agents via MCP tools or CLI.

2|Updated Jan 25, 2026
Search Tags:#tdd#development#methodology#multi-agent#orchestration#sparc
One-click install
npx skills add https://github.com/EarthmanWeb/claude-flow-plugin --skill sparc-methodology-earthmanweb
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: sparc-methodology
Source: https://github.com/EarthmanWeb/claude-flow-plugin/tree/main/.claude/skills/sparc-methodology
Command: npx skills add https://github.com/EarthmanWeb/claude-flow-plugin --skill sparc-methodology-earthmanweb

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines the entire software development lifecycle by providing a structured, multi-agent methodology that enhances speed, quality, and collaboration.

Core Features & Use Cases

  • Comprehensive Methodology: Covers all phases from specification to completion using specialized agents.
  • Test-Driven Development: Integrates TDD principles for robust code.
  • Multi-Agent Orchestration: Coordinates specialized agents for parallel and efficient task execution.
  • Use Case: Kickstart a new project by defining requirements, designing the architecture, implementing features with TDD, reviewing code, and documenting the entire process, all orchestrated by SPARC.

Quick Start

Use the sparc-methodology skill to run the coder mode and implement user authentication with JWT.

Frequently Asked Questions about sparc-methodology

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
What is multi-agent orchestration for software development?▼

Multi-agent orchestration coordinates specialized AI agents across the software development lifecycle, handling specification, architecture, and TDD to enhance speed, quality, and collaboration.

How do I integrate test-driven development into my AI workflow?▼

You can integrate test-driven development by using a structured methodology that applies TDD principles through specialized agents, ensuring robust code generation and refinement during implementation.

Can I run specialized AI agents in parallel for code generation?▼

Yes, multi-agent orchestration supports parallel execution, allowing specialized agents to handle distinct phases like pseudocode generation, architecture design, and code refinement simultaneously.

What is the best way to structure the entire software development lifecycle with AI?▼

The best way to structure the lifecycle is using a comprehensive methodology that covers all phases from specification to completion, coordinating specialized agents for robust, test-driven results.

Does this development methodology work with CLI and MCP tools?▼

Yes, this methodology supports TDD workflows and multi-agent orchestration via both MCP tools and CLI, allowing flexible execution of comprehensive development tasks across your environment.

When should I not use a multi-agent methodology for software development?▼

You should avoid this multi-agent methodology for simple, single-task code edits that do not require comprehensive lifecycle phases like specification, architecture design, or test-driven development.

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