When should I use the deslop skill?

It is best used right before a code review or pull request to ensure the code meets human standards and is free of typical AI artifacts.

Does it work across multiple files?

Yes, it scans all changes in the current branch diff across any number of files to ensure a thorough cleanup of the entire codebase.

Will it break my application logic?

No, the skill specifically targets stylistic noise, redundant comments, and abnormal defensive patterns while preserving the core functional logic of your changes.

What is AI code slop?

AI code slop refers to the verbose, repetitive, or overly defensive code and comments that AI models often add which are unnecessary for the actual application logic.

How does the deslop skill work?

It compares your current branch's diff against the main branch and uses a sub-agent to identify and remove inconsistencies and noise introduced during the AI coding process.

AI Code Slop Remover

Name: AI Code Slop Remover
Author: fumiya-kume

byfumiya-kume

•

Productivity & Workflow

Removes unnecessary AI-generated comments, redundant defensive checks, and inconsistent styling from your active branch changes.

About

AI Code Slop Remover is a specialized utility designed to maintain high code quality and human readability by stripping away common 'AI slop' artifacts. It automatically compares your current branch against the main branch to identify and prune verbose comments, excessive try-catch blocks, and styling inconsistencies that AI models often introduce. By launching a targeted sub-agent to analyze and refine changes, it ensures your final code appears authored by an experienced developer, keeping your repository clean and professional.

Key Features

Automated diff analysis against the main branch
Removes verbose or redundant AI-generated comments
Generates a concise 1-3 sentence summary of all cleanups
Prunes unnecessary defensive checks and try/catch blocks
Ensures stylistic consistency with the surrounding codebase
98 GitHub stars

Use Cases

Reducing technical debt and verbosity in AI-assisted refactoring projects
Cleaning up code before submitting a pull request to remove machine-generated noise
Ensuring consistency when multiple AI suggestions have cluttered a file's logic

About

Key Features

Automated diff analysis against the main branch
Removes verbose or redundant AI-generated comments
Generates a concise 1-3 sentence summary of all cleanups
Prunes unnecessary defensive checks and try/catch blocks
Ensures stylistic consistency with the surrounding codebase
98 GitHub stars

Use Cases

Reducing technical debt and verbosity in AI-assisted refactoring projects
Cleaning up code before submitting a pull request to remove machine-generated noise
Ensuring consistency when multiple AI suggestions have cluttered a file's logic