ralph-wiggum

Diagnose root causes and apply surgical code fixes with deterministic test loops.

230|34|Updated Dec 30, 2025
One-click install
npx skills add https://github.com/xenitV1/claude-code-maestro --skill ralph-wiggum
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ralph-wiggum
Source: https://github.com/xenitV1/claude-code-maestro/tree/main/skills/ralph-wiggum
Command: npx skills add https://github.com/xenitV1/claude-code-maestro --skill ralph-wiggum

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Ralph Wiggum acts as a surgical debugger and code optimizer, autonomously investigating root causes, executing deterministic test loops, and applying surgical fixes to existing code without introducing new features.

Core Features & Use Cases

  • Autonomous root-cause analysis: traces failures to their origin and validates fixes with an iterative harness.
  • Persistent reflection loop: evaluates code quality, architecture, and readability to ensure safe, robust patches.
  • Safe, minimal patches: prioritizes architectural improvements and maintainability over feature additions.
  • Use Case: in a legacy npm/Node.js project with flaky tests, Ralph autonomously identifies root causes and proposes targeted changes, re-running tests until success.

Quick Start

Start the surgical debugging workflow against your project using the harness and reflection tools:

  • Run: node scripts/js/ralph-harness.js "npm test" --elite
  • Inspect: .maestro/brain.jsonl and the reflection results to guide further refinements

Frequently Asked Questions about ralph-wiggum

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

FAQPage Schema
How do I automate root-cause analysis for flaky tests in a legacy Node.js project?

Autonomous root-cause analysis traces failures to their origin using an iterative test harness. It executes deterministic test loops and applies surgical fixes to existing code, re-running tests until success without adding new features.

What is autonomous debugging and how does it apply surgical fixes to existing code?

Autonomous debugging investigates software failures by running deterministic test loops and applying targeted code repairs. It uses a reflection loop to evaluate code quality and applies safe, minimal patches to improve architecture.

Can I use an autonomous debugging harness with my existing npm test setup?

Yes, the debugging harness integrates with existing npm test setups. You run the harness script with your test command, and it autonomously investigates failures, applies targeted changes, and re-runs tests iteratively.

What is the best way to apply architectural improvements to existing code without adding new features?

The best way is using a persistent reflection loop that evaluates code quality, architecture, and readability. This ensures safe, robust patches that prioritize architectural improvements and maintainability over feature additions.

Why does the autonomous debugger need persistent state management during iterative fixes?

Persistent state management is needed to maintain memory of prior runs during iterative fixes. It stores investigation data in a brain file, guiding the debugger through successive test loops until the root cause is resolved.