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ralph-wiggum-v2

Execute an autonomous TDD loop with parallel agents to fix code issues.

Updated Feb 10, 2026
Search Tags:#testing#tdd#game development#code review#autonomous development#agent swarm
One-click install
npx skills add https://github.com/delorenj/00_ceiling --skill ralph-wiggum-v2
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ralph-wiggum-v2
Source: https://github.com/delorenj/00_ceiling/tree/main/ralph-wiggum-v2
Command: npx skills add https://github.com/delorenj/00_ceiling --skill ralph-wiggum-v2

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the entire Test-Driven Development (TDD) process, from discovering bugs to implementing fixes, ensuring code quality and convergence.

Core Features & Use Cases

  • Autonomous TDD Loop: Runs a continuous cycle of code review, test writing, and bug fixing.
  • Parallel Agent Swarm: Utilizes multiple agents with diverse review styles for comprehensive analysis.
  • Category Evolution: Dynamically scores and evolves code categories based on findings.
  • Convergence Detection: Stops automatically when predefined quality and stability metrics are met.
  • Use Case: Ideal for large-scale game development projects like "Diablo-StarCraft" to maintain high code quality throughout development, catch regressions, and ensure stability.

Quick Start

Initiate the autonomous development loop for the 'diablo-starcraft' project with the completion promise 'DIABLO_STARCRAFT_COMPLETE'.

Frequently Asked Questions about ralph-wiggum-v2

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

FAQPage Schema
How do I automate test-driven development for a large game development project?▼

You can automate test-driven development by running an autonomous TDD loop that uses a parallel agent swarm to continuously review code, write tests, and fix bugs until quality metrics converge.

What is an autonomous TDD loop and how does it manage code quality?▼

An autonomous TDD loop executes continuous test-driven development cycles by dynamically scoring and evolving code categories based on findings from parallel agents, ensuring stability and quality convergence.

Can I use parallel agents to find and fix code regressions during development?▼

Yes, you can deploy a parallel agent swarm with diverse review styles to comprehensively analyze your codebase, identify regressions, and autonomously implement fixes within the TDD loop.

How does convergence detection work in autonomous test-driven development?▼

Convergence detection in autonomous TDD works by monitoring dynamically evolved code categories and stopping the parallel agent execution automatically when predefined quality and stability metrics are met.

Is autonomous TDD suitable for complex software projects besides game development?▼

Autonomous TDD is suitable for complex software projects including large-scale game development, as it maintains high code quality, catches regressions, and ensures stability through category evolution and convergence detection.

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