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sparc-methodology

Coordinate multi-agent development workflows for specification, design, implementation, testing, and deployment.

1|Updated Jun 9, 2020
Search Tags:#automation#workflow#tdd#architecture#multi-agent#orchestration#sparc
One-click install
npx skills add https://github.com/dalager/jernkorsetbreve --skill sparc-methodology-dalager
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: sparc-methodology
Source: https://github.com/dalager/jernkorsetbreve/tree/main/.claude/skills/sparc-methodology
Command: npx skills add https://github.com/dalager/jernkorsetbreve --skill sparc-methodology-dalager

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Coordinates specification, design, implementation, testing and deployment across specialized agents to speed development, enforce test-driven workflows, and maintain architectural consistency in complex software projects.

Core Features & Use Cases

  • Mode-based orchestration: 17 specialized modes (researcher, architect, coder, tdd, reviewer, etc.) that decompose work and assign responsibilities to agents.
  • Parallel TDD pipelines: run Red-Green-Refactor cycles, batch tests, and achieve high coverage through coordinated agent execution.
  • Memory and persistence: share architectural decisions and session state across agents for continuity and reproducibility.
  • Use Case: coordinate a feature development pipeline where researcher gathers requirements, architect designs the system, coder implements, tdd ensures tests, and reviewer validates security and performance.

Quick Start

Run the sparc-methodology orchestrator to spawn an architect, coder, tester, and reviewer and coordinate a test-driven feature implementation.

Frequently Asked Questions about sparc-methodology

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

FAQPage Schema
How do I coordinate multi-agent development workflows for TDD and architecture design?▼

Multi-agent development workflows coordinate specification, design, implementation, testing, and deployment across specialized agents to speed development and enforce test-driven pipelines. The orchestrator assigns responsibilities to 17 specialized modes like architect, coder, and reviewer.

What is mode-based orchestration for software engineering teams?▼

Mode-based orchestration decomposes work and assigns responsibilities to 17 specialized agents including researcher, architect, coder, tdd, and reviewer. It maintains architectural consistency by sharing session state and decisions across coordinated agent execution.

Can I run parallel TDD pipelines with automated Red-Green-Refactor cycles across multiple agents?▼

Parallel TDD pipelines run Red-Green-Refactor cycles, batch tests, and achieve high coverage through coordinated agent execution. Test-driven workflows are enforced by assigning specific testing responsibilities to dedicated agents.

Does multi-agent orchestration support memory integration for sharing architectural decisions?▼

Memory and persistence integration shares architectural decisions and session state across agents for continuity and reproducibility. This ensures all specialized modes operate with consistent system design context throughout the development lifecycle.

What is the best way to automate feature development from requirements gathering to deployment?▼

Automated feature development pipelines coordinate a researcher to gather requirements, an architect to design the system, a coder to implement, a tester to ensure coverage, and a reviewer to validate security and performance.

Can I execute multi-agent orchestration using CLI or MCP tools?▼

Multi-agent orchestration supports CLI or MCP tool execution integration alongside adaptive topologies and task decomposition. This allows automated coordination of specialized agents directly within existing development environments.

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