deslop

Remove redundant comments and excessive docstrings from AI-generated code diffs.

15|1|Updated Apr 24, 2026
One-click install
npx skills add https://github.com/spences10/skills --skill deslop-spences10
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: deslop
Source: https://github.com/spences10/skills/tree/main/deslop
Command: npx skills add https://github.com/spences10/skills --skill deslop-spences10

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

Deslop addresses the issue of unnecessary noise in code diffs generated by AI, making code reviews more efficient and reducing visual clutter.

Core Features & Use Cases

  • Code Noise Removal: Removes redundant comments, excessive docstrings, and unnecessary code blocks from diffs.
  • Interactive Review: Allows users to review and decide on each suggested change interactively.
  • Language-Agnostic: Detects and removes noise patterns across different programming languages.
  • Use Case: Use Deslop to streamline code reviews by quickly identifying and removing unnecessary noise generated by AI code changes.

Quick Start

Run 'deslop' to start cleaning noise from your latest code diff.

Frequently Asked Questions about deslop

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

FAQPage Schema
How do I remove unnecessary comments from AI-generated code diffs?

To remove unnecessary comments from AI-generated code diffs, run the 'deslop' command to automatically detect and clean redundant docstrings and noise patterns across various programming languages.

What is the best way to clean up excessive docstrings in AI code changes?

The best way to clean up excessive docstrings in AI code changes is using a language-agnostic noise removal tool that detects redundant patterns, allowing you to interactively review and decide on each suggested change.

How do I streamline code review when working with AI-generated changes?

You streamline code review when working with AI-generated changes by removing visual clutter like unnecessary code blocks and redundant comments, which improves review efficiency and reduces visual fatigue.

Does AI noise removal work across different programming languages?

Yes, AI noise removal works across different programming languages by detecting and removing noise patterns language-agnostically, ensuring redundant comments and excessive docstrings are cleaned regardless of your codebase's syntax.

Can I review each suggested code cleanup change before applying it?

Yes, you can review each suggested code cleanup change interactively, allowing you to decide exactly which redundant comments or excessive docstrings are removed from your AI-generated code diffs.