ai-slop-cleaner

Remove dead code, duplication, and unnecessary abstractions from AI-generated code.

2|Updated May 3, 2026
One-click install
npx skills add https://github.com/JustineDevs/roblox-ai-os --skill ai-slop-cleaner-justinedevs
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ai-slop-cleaner
Source: https://github.com/JustineDevs/roblox-ai-os/tree/main/plugins/roblox-ai-os-creator-skills/skills/ai-slop-cleaner
Command: npx skills add https://github.com/JustineDevs/roblox-ai-os --skill ai-slop-cleaner-justinedevs

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill addresses the accumulation of bloated, repetitive, or over-abstracted code often produced by AI, ensuring that refactoring is performed safely without losing existing functionality.

Core Features & Use Cases

  • Regression-First Cleanup: Protects existing behavior by mandating regression tests before any code modification.
  • Smell-Based Refactoring: Systematically identifies and removes dead code, duplicate logic, and unnecessary abstractions.
  • Use Case: When a feature implementation is complete but the resulting code is noisy or contains temporary workarounds, use this skill to perform a disciplined, evidence-based cleanup pass.

Quick Start

Run the ai-slop-cleaner skill on the current directory to identify and remove code smells while preserving existing behavior.

Frequently Asked Questions about ai-slop-cleaner

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

FAQPage Schema
How do I refactor AI-generated code without breaking existing functionality?

To refactor AI-generated code safely, you must establish regression tests first to validate behavior preservation. This approach systematically identifies and removes dead code, duplication, and unnecessary abstractions while operating within a bounded file scope to ensure minimal diffs.

What is the best way to remove dead code and unnecessary abstractions from my codebase?

The best way to remove dead code and unnecessary abstractions is through smell-based refactoring. This process systematically targets code smells like duplicate logic and over-abstraction, operating within a bounded file scope to maintain high-signal output and minimal diffs.

Do I need regression tests before cleaning up AI-generated code?

Yes, you need regression tests before cleaning up AI-generated code. A regression-tests-first approach is required to protect existing behavior and validate that functionality is preserved throughout the entire cleanup and refactoring process.

How does bounded file scope help when cleaning up repetitive code?

Bounded file scope helps cleanup repetitive code by limiting modifications to a specific area, which ensures minimal diffs and high-signal output. This prevents widespread changes that could introduce regressions while removing duplication and unnecessary abstractions.