What is 'AI slop' in coding?

AI slop refers to the unnecessary complexity, redundant logic, dead code, or overly abstract patterns often generated by AI models that make a codebase harder to maintain despite being functional.

How does this skill ensure behavior doesn't change during cleanup?

The skill employs a 'protect behavior first' methodology, requiring narrow regression tests or a concrete verification plan to be established and verified before any code modifications occur.

Can I use this skill to add new features to my project?

No, this skill is strictly for simplification and cleanup. It is designed to be 'bounded' to avoid scope drift, and should not be used for implementing new functionality or broad redesigns.

What is the purpose of the --review mode?

Review Mode enforces a separate reviewer-only pass to inspect cleanup plans and changes, ensuring that high-impact refactors are audited without the AI self-approving its own writes.

AI Slop Cleaner

Name: AI Slop Cleaner
Author: Moliboy5000

byMoliboy5000

0•

개발자 도구

Refactors and simplifies AI-generated code by removing redundancy, dead code, and unnecessary abstractions while ensuring regression safety.

The AI Slop Cleaner skill is designed to remediate 'code slop'—the bloated, repetitive, or overly complex code often produced by Large Language Models during iterative development. It follows a rigorous, deletion-first workflow that prioritizes behavioral preservation through mandatory regression testing and evidence-dense reporting. By systematically identifying duplication, dead code, and boundary violations across multiple focused passes, it helps developers maintain lean, production-grade codebases without the risk of scope drift or accidental breaking changes.

주요 기능

01Systematic multi-pass cleaning (Dead code, Duplication, Naming, and Test reinforcement)

02Reviewer-only mode for decoupled audit and manual approval of high-impact refactors

03Deletion-first approach to eliminate unnecessary wrappers and 'speculative indirection'

04Automatic generation of evidence-dense reports covering simplifications and verification results

050 GitHub stars

06Regression-safe cleanup workflow that locks behavior with tests before editing

사용 사례

01Removing redundant logic and duplicate helpers left behind after multiple AI-assisted coding sessions

02Cleaning up legacy 'AI slop' in specific modules without changing existing functional behavior

03Simplifying over-abstracted 'wrapper' code to improve maintainability and architectural clarity

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add moliboy5000/.claude ai-slop-cleaner

For use in Claude.ai and ChatGPT

주요 기능

01Systematic multi-pass cleaning (Dead code, Duplication, Naming, and Test reinforcement)

02Reviewer-only mode for decoupled audit and manual approval of high-impact refactors

03Deletion-first approach to eliminate unnecessary wrappers and 'speculative indirection'

04Automatic generation of evidence-dense reports covering simplifications and verification results

050 GitHub stars

06Regression-safe cleanup workflow that locks behavior with tests before editing

사용 사례

01Removing redundant logic and duplicate helpers left behind after multiple AI-assisted coding sessions

02Cleaning up legacy 'AI slop' in specific modules without changing existing functional behavior

03Simplifying over-abstracted 'wrapper' code to improve maintainability and architectural clarity