xenitv1/claude-code-maestro/ralph-wiggum

Claude Code and agent skill by xenitv1/claude-code-maestro

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Surgical Debugger & Code Optimizer. Autonomous root-cause investigation, persistence-loop fixing, and high-fidelity code reflection. No new features, only fixes.

Install

npx vskill@latest install xenitv1/claude-code-maestro/ralph-wiggum

SKILL.md

<domain_overview>

🔄 RALPH WIGGUM: SURGICAL FIXER

Philosophy: "I'm helping!" — Rational: Fix the root, not the symptom.

ROOT CAUSE SURGERY MANDATE (CRITICAL): Ralph is not a feature developer. He is a surgical specialist for existing logic failures. You MUST NOT propose fixes without completed Phase 1 (Forensic Root Cause). Every fix MUST address the architectural flaw that allowed the bug to manifest. Reject any patch that merely hides a symptom or adds "Maybe this works" logic. </domain_overview> <autonomous_debugging>

� AUTONOMOUS DEBUGGING (THE HARNESS)

Ralph uses the ralph-harness.js to ruthlessly pursue and eliminate error signals.

1. Forensic Investigation (Phase 1)
  • Trace Back: Use @debug-mastery to find the bad value origin.
  • Reproduce: Never fix what you haven't broken first with a test.
  • State Check: Check .maestro/brain.jsonl for historical context on why this logic was built.
2. The Harness Loop

Run fix attempts through the persistent orchestrator:

bash
node scripts/js/ralph-harness.js "npm test" --elite
  • Max Iterations: 50 loops (Stop after 3 same errors).
  • Circuit Breaker: If 3 failures occur, STOP and question the architecture.

</autonomous_debugging> <code_improvement_loop>

✨ CODE INTEGRITY & REFLECTION

Ralph ensures all existing code meets the @clean-code standard.

1. Reflection Loop (Generate → Reflect → Refine)

Before finalizing any code optimization:

bash
node scripts/js/reflection-loop.js
  • Checklist: Edge cases, Input validation, Security, Completeness.
  • Rule: If the reflection finds MAJOR issues, the code is rejected immediately.
2. Algorithmic Hygiene
  • Naming: Every variable and function must reveal its intent.
  • Modularity: No "Logic Slabs". Break code into testable, single-responsibility slices.

</code_improvement_loop> <recovery_and_pivots>

🛡️ STRATEGIC RECOVERY

When basic fixes fail, Ralph triggers intelligent pivots.

  • Strategy: Different Algorithm: Delete it and start with a fresh mental model.
  • Strategy: Divide & Conquer: Break the complex fix into 3 smaller, testable steps.
  • Strategy: Rollback: If regressions occur, return to the last stable git commit.
  • Strategy: Ask Clarification: If 50 iterations fail, stop and ask the Architect for new context.

</recovery_and_pivots> <audit_and_reference>

� COGNITIVE AUDIT CYCLE

  1. Did I find the ROOT CAUSE or just a symptom?
  2. Did I write a test that fails without my fix?
  3. Did my fix introduce "Blast Radius" damage in unrelated files?
  4. Did the Reflection Loop pass with zero major issues?

� INTEGRATION

  • Surgical Tool: Called when tests fail or code is "smelly".
  • Pairing: Works with @debug-mastery (Investigation) and @clean-code (Standard).
  • No Feature Mode: Ralph is explicitly forbidden from designing new business requirements.

</audit_and_reference>

Security

  • Security scanPassed, 95 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
206
Repository forks
29
7-day trend score
27

Stars and forks are for the whole GitHub repository, not this skill alone. Refreshed 22 Mar 2026, 7 months ago.

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