deslop-comments

Remove unnecessary comments from code to improve readability.

25|5|Updated May 9, 2026
One-click install
npx skills add https://github.com/kamp-us/phoenix --skill deslop-comments
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: deslop-comments
Source: https://github.com/kamp-us/phoenix/tree/main/claude-plugins/kampus-pipeline/skills/deslop-comments
Command: npx skills add https://github.com/kamp-us/phoenix --skill deslop-comments

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill addresses the issue of excessive and redundant comments in code, which can hinder readability and understanding, by identifying and removing such comments effectively.

Core Features & Use Cases

  • Automated Comment Removal: Identifies and removes unnecessary comments based on predefined criteria.
  • Code Cleanliness: Enhances code readability and maintainability by removing repetitive or redundant comments.
  • Use Case: For developers who want to improve the readability of their codebase, especially after large-scale code changes that may introduce unnecessary comments.

Quick Start

Execute the deslop-comments skill to remove unnecessary comments from your codebase.

Frequently Asked Questions about deslop-comments

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

FAQPage Schema
How do I remove unnecessary comments from code to improve readability?

To remove unnecessary comments from code, you need a tool that analyzes your codebase's context and structure to identify and eliminate repetitive or redundant sections, enhancing overall readability.

What is the best way to clean up redundant code comments after large-scale code changes?

The best way to clean up redundant code comments after large-scale changes is applying an automated process that targets extensive comment sections and removes repetitive entries based on predefined criteria.

How does AI-driven analysis identify which comments to remove from a codebase?

AI-driven analysis identifies which comments to remove by evaluating the codebase's context and structure against predefined criteria, targeting repetitive or redundant comments that hinder readability and maintainability.

Can I use automated comment removal for codebases with extensive comment sections?

Yes, you can use automated comment removal for codebases with extensive comment sections, as it specifically targets and eliminates repetitive or redundant comments based on AI-driven criteria to streamline readability.

When should I not use automated tools to remove comments from my code?

You should not use automated tools to remove comments when your code relies on comments for critical context that AI-driven criteria might not fully understand, as removing them could hinder maintainability.