ai-slop-cleaner

Clean and refactor AI-generated code by removing dead code, duplicates, and unnecessary abstractions.

Updated May 25, 2026
One-click install
npx skills add https://github.com/BetaS/swm-gis-workshop --skill ai-slop-cleaner-betas
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ai-slop-cleaner
Source: https://github.com/BetaS/swm-gis-workshop/tree/main/.codex/skills/ai-slop-cleaner
Command: npx skills add https://github.com/BetaS/swm-gis-workshop --skill ai-slop-cleaner-betas

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill automates the cleanup and refactoring of AI-generated code, improving signal quality and reducing slop.

Core Features & Use Cases

  • Code Cleanup: Removes unnecessary code, duplicates, and dead code from AI-generated code.
  • Refactoring: Improves readability and maintainability of AI-generated code.
  • Use Case: Use this Skill to clean up and refactor code generated by AI, ensuring it meets quality standards and is easier to maintain.

Quick Start

Run the ai-slop-cleaner skill on your AI-generated code to automatically clean up and refactor it.

Frequently Asked Questions about ai-slop-cleaner

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

FAQPage Schema
How do I clean up and refactor AI-generated code automatically?

You can clean up AI-generated code by running an automated refactoring script that targets dead code, duplicates, and unnecessary abstractions to improve signal quality and maintainability.

What is AI slop in code and how do I reduce it?

AI slop refers to unnecessary abstractions, dead code, and duplicates produced by AI code generation. You reduce it by triggering automated cleanup scripts on specific files to parse paths and remove redundant logic.

Do I need Python to run automated AI code cleanup scripts?

Yes, you need Python installed in your environment to execute the AI code cleanup scripts. The tool processes specific files or file lists to automate the refactoring workflow.

Can I run code refactoring on a specific list of AI-generated files?

Yes, the cleanup process can be triggered on specific files or provided file lists, allowing you to target exact directories of AI-generated code for dead code removal and refactoring.

What is the best way to remove dead code and unnecessary abstractions from AI-generated scripts?

The best way to remove dead code and unnecessary abstractions is to automate the cleanup process, which analyzes code paths to filter out duplicates and improve overall readability.