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sparc-methodology

Coordinate multi-agent development through five structured phases with TDD enforcement.

1|1|Updated Apr 11, 2026
Search Tags:#tdd#code review#software development#workflow orchestration#multi-agent#sparc#test coverage
One-click install
npx skills add https://github.com/harshaldhaduk/Lattice --skill sparc-methodology-harshaldhaduk
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: sparc-methodology
Source: https://github.com/harshaldhaduk/Lattice/tree/main/.claude/skills/sparc-methodology
Command: npx skills add https://github.com/harshaldhaduk/Lattice --skill sparc-methodology-harshaldhaduk

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill solves the chaos of uncoordinated parallel development with AI agents, which leads to merge conflicts, duplicated work, and broken assumptions that are only discovered hours before shipping, delaying releases and increasing technical debt.

Core Features & Use Cases

  • Structured 5-Phase Development Framework: Guides teams through Specification, Architecture, Refinement, Review, and Completion phases to eliminate guesswork and ensure consistent, high-quality output.
  • 17 Specialized Multi-Agent Modes: Coordinates purpose-built AI agents (architect, coder, tester, reviewer, etc.) for parallel execution that delivers 2.8-4.4x speed improvements over sequential development.
  • Built-in TDD & Quality Guardrails: Enforces test-first development, 90%+ test coverage requirements, and automated code review to reduce bugs and maintain code quality.
  • Use Case: A team building a new payment processing feature can use this Skill to automatically coordinate requirements research, system architecture design, test-driven implementation, security review, and API documentation in a single consistent workflow.

Quick Start

Use the sparc-methodology skill to coordinate a full end-to-end development workflow for your new feature, including research, architecture design, test-driven implementation, code review, and documentation.

Frequently Asked Questions about sparc-methodology

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

FAQPage Schema
How do I coordinate parallel AI agents for software development without causing merge conflicts?▼

Multi-agent workflow orchestration coordinates specialized AI agents through structured phase gating to eliminate uncoordinated parallel development, preventing merge conflicts and duplicated work. It uses a 5-phase framework to ensure agents operate systematically without breaking assumptions.

What is the SPARC methodology for test-driven development?▼

The SPARC methodology is a structured 5-phase development framework encompassing Specification, Architecture, Refinement, Review, and Completion. It enforces test-first development and coordinates 17 specialized multi-agent modes to achieve 2.8-4.4x speed improvements over sequential development.

How do I enforce test coverage standards in an automated AI coding workflow?▼

You can enforce test coverage standards by applying built-in TDD quality guardrails within an automated AI workflow. This methodology enforces test-first development and sets strict 90%+ test coverage requirements alongside automated code reviews to reduce bugs.

Can I use multi-agent orchestration for full-stack software development?▼

Yes, multi-agent orchestration applies to full-stack software development workflows requiring structured phase gating and test-driven implementation. It coordinates purpose-built agents for architecture design, coding, testing, and security review to automate the workflow from specification to deployment.

What is the best way to automate code review and testing for parallel AI agents?▼

The best way to automate code review for parallel AI agents is using a structured phase-gating workflow with specialized reviewer agents. This approach enforces TDD, requires 90%+ test coverage, and runs automated quality reviews before completion to maintain code quality.

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