What testing frameworks are supported?

The TDD and tester modes are compatible with major frameworks like Jest, Mocha, Vitest, Playwright, and Cypress to ensure high test coverage and code reliability.

Does it support persistent context?

Yes, the framework includes a memory-manager mode that preserves knowledge, design decisions, and context across different sessions and multiple agents.

What does SPARC stand for?

SPARC stands for Specification, Pseudocode, Architecture, Refinement, and Completion—a systematic five-phase development lifecycle designed for AI-driven software engineering.

How does this improve development speed?

The methodology utilizes parallel agent execution and swarm coordination, allowing multiple components of a task to be handled simultaneously, resulting in significant efficiency gains.

Can I use SPARC for existing projects?

Yes, SPARC is highly effective for existing codebases, providing specialized modes for refactoring, security auditing, and implementing new features with consistent architectural standards.

SPARC Methodology Framework

Name: SPARC Methodology Framework
Author: ricable

byricable

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생산성 및 워크플로

Implements a structured multi-agent development framework for systematic software creation from specification to completion.

소개

The SPARC Methodology skill provides a comprehensive development framework integrated with Claude Flow's multi-agent orchestration. By breaking down development into five key phases—Specification, Pseudocode, Architecture, Refinement, and Completion—it enables highly structured, test-driven coding workflows. Utilizing 17 specialized modes such as 'orchestrator' and 'swarm-coordinator', it facilitates parallel execution and persistent memory management, significantly increasing development speed and ensuring high-quality architectural standards for complex software projects.

주요 기능

Parallel multi-agent execution for up to 4.4x speed gains
Structured 5-phase SPARC development lifecycle
Integrated Test-Driven Development (TDD) workflows
17 specialized development and orchestration modes
Cross-session memory management and context preservation
2 GitHub stars

사용 사례

Implementing robust features using a strict Red-Green-Refactor TDD cycle
Designing and documenting system architectures with domain-driven design principles
Coordinating complex multi-file feature implementations using parallel AI agents

소개

주요 기능

Parallel multi-agent execution for up to 4.4x speed gains
Structured 5-phase SPARC development lifecycle
Integrated Test-Driven Development (TDD) workflows
17 specialized development and orchestration modes
Cross-session memory management and context preservation
2 GitHub stars

사용 사례

Implementing robust features using a strict Red-Green-Refactor TDD cycle
Designing and documenting system architectures with domain-driven design principles
Coordinating complex multi-file feature implementations using parallel AI agents