How does this skill identify what to remove?

It performs a git diff between your current branch and the main branch to isolate recent changes, then evaluates those changes against common AI-generated patterns and your file's existing style.

Will it accidentally delete my legitimate logic changes?

The skill is specifically programmed to target style inconsistencies and redundant patterns. It reports a summary of changes, allowing you to verify that your functional code remains intact.

Does it support languages other than Python?

Yes. While it has specific logic for Python (like moving inline imports), the principles of removing comments and defensive 'slop' apply to all major programming languages.

What is considered 'AI slop' in a codebase?

AI slop refers to unnecessary artifacts added by AI models, such as redundant comments that explain the obvious, overly defensive code in safe paths, or lazy type casts like 'any' used to bypass compiler checks.

AI Code Deslopper

Name: AI Code Deslopper
Author: davila7

bydavila7

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16,312

Developer Tools

Refines AI-generated code by removing redundant comments, unnecessary defensive checks, and style inconsistencies to ensure human-grade quality.

About

The deslop skill for Claude Code streamlines the transition from AI-assisted drafting to production-ready code. It identifies and removes 'AI slop'—the characteristic artifacts left behind by LLMs, such as overly verbose comments, excessive try-catch blocks in trusted paths, and lazy type casting. By comparing your current branch against the main branch, it automatically standardizes your codebase, ensuring that AI-generated contributions blend seamlessly with your team's existing style and quality standards before you submit a pull request.

Key Features

Refactoring of inline Python imports to standard top-level placement
Standardization of type casts and removal of shortcut 'any' types
16,312 GitHub stars
Removal of redundant or non-human-like AI comments
Elimination of unnecessary defensive checks and try-catch blocks
Automated diff analysis against the main branch

Use Cases

Cleaning up rapid prototypes generated by Claude or other AI agents
Preparing an AI-assisted feature branch for a professional peer review
Standardizing code style after a bulk refactor using AI tools

About

Key Features

Refactoring of inline Python imports to standard top-level placement
Standardization of type casts and removal of shortcut 'any' types
16,312 GitHub stars
Removal of redundant or non-human-like AI comments
Elimination of unnecessary defensive checks and try-catch blocks
Automated diff analysis against the main branch

Use Cases

Cleaning up rapid prototypes generated by Claude or other AI agents
Preparing an AI-assisted feature branch for a professional peer review
Standardizing code style after a bulk refactor using AI tools