deslop

Remove AI-generated comments and defensive checks from feature branches.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/mattdowney/ai-skills --skill deslop-mattdowney
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: deslop
Source: https://github.com/mattdowney/ai-skills/tree/main/deslop
Command: npx skills add https://github.com/mattdowney/ai-skills --skill deslop-mattdowney

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Remove AI-generated code slop from the current branch, cleaning up unnecessary comments, defensive checks, and inconsistent style to maintain a clean, readable codebase.

Core Features & Use Cases

  • Removes extraneous AI-inserted comments and style drift after code changes.
  • Normalizes coding style across a feature branch by deleting non-functional artifacts.
  • Use on a finished or near-finished branch to ensure a consistent codebase before review.

Quick Start

Run deslop on the active branch to remove AI slop and summarize the changes.

Frequently Asked Questions about deslop

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

FAQPage Schema
How do I remove AI-generated comments and style drift from my code branch?

Yes, you can clean up AI slop from a near-finished feature branch by running a cleanup process that normalizes coding style, removes non-functional artifacts, and preserves actual changes to maintain codebase integrity before review.

What is AI slop in a codebase and how does it affect code review?

AI slop consists of non-functional artifacts like extraneous comments and style drift introduced by AI-assisted changes, which clutter the codebase and obscure actual functional updates during branch review workflows.

When should I clean up AI slop in my feature branch workflow?

Clean up AI slop on a finished or near-finished feature branch to ensure a consistent codebase before review, removing unnecessary comments and defensive checks while summarizing the impact of actual changes.

Does AI code cleanup preserve my actual feature changes and functional updates?

AI code cleanup detects and removes non-functional artifacts while preserving actual changes, ensuring your feature branch maintains codebase integrity and human-readable diffs without losing functional updates.

Can I normalize coding style across languages in an AI-assisted feature branch?

You can normalize coding style across languages in an AI-assisted feature branch by deleting non-functional artifacts, removing style drift, and ensuring a clean, readable codebase before the review process.