Can I use specific modes like TDD or Architect independently?

Yes, you can activate any of the 17 specialized modes individually via MCP tools or CLI to handle specific parts of your development workflow.

What does SPARC stand for?

SPARC stands for Specification, Pseudocode, Architecture, Refinement, and Completion, representing a comprehensive five-phase development methodology.

Does this skill support persistent memory?

Yes, it includes a memory-manager mode that preserves knowledge, decisions, and context across different agent sessions and tasks.

Is this compatible with TypeScript and modern standards?

Absolutely. The coder and reviewer modes are optimized for ES2022+ standards, TypeScript type safety, and modern security best practices.

How does this skill improve development speed?

By utilizing multi-agent orchestration and parallel execution (batch-executor), the SPARC methodology can achieve 2.8x to 4.4x speed improvements in complex tasks.

SPARC Methodology for Claude Code

Name: SPARC Methodology for Claude Code
Author: whrit

bywhrit

Productividad y Flujo de Trabajo

Implements a systematic five-phase development framework with multi-agent orchestration to accelerate software engineering from specification to deployment.

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The SPARC Methodology skill integrates a comprehensive development lifecycle into Claude Code, utilizing Specification, Pseudocode, Architecture, Refinement, and Completion phases. By leveraging multi-agent orchestration and 17 specialized modes, it enables developers to perform parallel execution, autonomous TDD cycles, and deep architectural analysis with significant speed improvements. It is designed for engineering teams who need to standardize AI-assisted coding workflows while maintaining high quality, security, and architectural integrity across complex software projects.

Características Principales

Automated Test-Driven Development (TDD) workflows with coverage optimization targets
Five-phase structured development lifecycle (SPARC) for consistent software delivery
Multi-agent orchestration supporting parallel task execution and swarm coordination
17 specialized modes including TDD, Architecture, Researcher, and Security Reviewer
0 GitHub stars
Persistent memory integration for seamless context sharing across agents and sessions

Casos de Uso

Standardizing software development processes across distributed AI agent teams
Accelerating feature delivery through parallel code generation and autonomous review cycles
Implementing rigorous TDD and architectural design patterns in complex codebases

Acerca de

Características Principales

Automated Test-Driven Development (TDD) workflows with coverage optimization targets
Five-phase structured development lifecycle (SPARC) for consistent software delivery
Multi-agent orchestration supporting parallel task execution and swarm coordination
17 specialized modes including TDD, Architecture, Researcher, and Security Reviewer
0 GitHub stars
Persistent memory integration for seamless context sharing across agents and sessions

Casos de Uso

Standardizing software development processes across distributed AI agent teams
Accelerating feature delivery through parallel code generation and autonomous review cycles
Implementing rigorous TDD and architectural design patterns in complex codebases