code-deslopper

Trim verbose comments and defensive checks from code diffs.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/talhayilmazai/ai-agent-in-customer-repository --skill code-deslopper
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: code-deslopper
Source: https://github.com/talhayilmazai/ai-agent-in-customer-repository/tree/main/.cursor/skills/deslop
Command: npx skills add https://github.com/talhayilmazai/ai-agent-in-customer-repository --skill code-deslopper

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill trims AI-generated clutter from code, removing unnecessary defensive checks and verbose comments to enforce concise, idiomatic code that meets project standards.

Core Features & Use Cases

  • Clutter removal: Detects and strips extraneous comments and nonessential defensive checks that dilute readability.
  • Consistency enforcement: Aligns style with project norms and idiomatic language across the codebase.
  • Use Case: Apply during code reviews or branch cleanups to quickly reduce noise in diffs.

Quick Start

Run the code-deslopper on the current diff or targeted files to remove AI-generated slop.

Frequently Asked Questions about code-deslopper

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

FAQPage Schema
How do I remove AI-generated slop and excessive comments from my code diffs?

Removing AI slop from code involves trimming verbose comments and nonessential defensive checks across your feature branch diffs, which strips clutter and aligns the codebase with idiomatic project standards.

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

AI code slop consists of extraneous comments, unnecessary defensive checks, and stray type casts that dilute readability. It affects code review by adding noise to diffs, making it harder to spot functional changes during branch cleanups.

Can I clean up AI clutter across different programming languages and codebases?

Yes, you can clean up AI clutter across typical codebases and languages. The process detects verbose comments, unnecessary defensive checks, and stray type casts, aligning style with idiomatic language norms for each project.

Does removing unnecessary defensive checks from AI-generated code preserve original functionality?

Removing unnecessary defensive checks preserves identical functionality by targeting only nonessential clutter. The cleanup process strips extraneous comments and stray type casts without altering the core logic of the codebase.

What's the best way to enforce clean code standards during branch cleanups?

The best way to enforce clean code standards during branch cleanups is to run automated clutter removal against your feature branch diffs, which detects and strips AI-generated noise to align with idiomatic project norms.