remove-llm-comments

Remove verbose LLM-generated comments from source code files.

34|9|Updated Mar 12, 2026
One-click install
npx skills add https://github.com/gitlabhq/orbit-knowledge-graph --skill remove-llm-comments
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: remove-llm-comments
Source: https://github.com/gitlabhq/orbit-knowledge-graph/tree/main/.claude/skills/remove-llm-comments
Command: npx skills add https://github.com/gitlabhq/orbit-knowledge-graph --skill remove-llm-comments

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill removes unnecessary, verbose, and often redundant comments generated by Large Language Models (LLMs) that clutter source code and obscure the actual logic.

Core Features & Use Cases

  • Removes Obvious Narration: Deletes comments that simply state what the code is doing (e.g., // Create a new vector).
  • Eliminates Changelog-Style Comments: Removes comments that mimic git commit messages (e.g., # Added error handling).
  • Removes Filler Explanations: Deletes comments that restate information already present in function signatures or code structure.
  • Use Case: After an LLM assists in writing code, run this Skill to produce cleaner, more maintainable code that reads like human-written code.

Quick Start

Use the remove-llm-comments skill to clean the comments in the file 'main.rs'.

Frequently Asked Questions about remove-llm-comments

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

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

To remove AI-generated comments from source code, run this Skill to delete verbose LLM narration, changelog-style entries, and filler explanations while preserving essential business logic and warnings.

What's the best way to clean up verbose LLM comments without losing important warnings?

Cleaning up verbose LLM comments safely requires targeting narration and filler explanations while preserving essential comments like business logic explanations, issue links, and warnings to maintain code readability.

Does this code cleanup tool work with various programming languages?

Yes, this code cleanup tool operates on various programming languages to improve readability and maintainability by removing redundant LLM-generated comments from source code files.

How do I eliminate changelog-style comments from AI-assisted code?

To eliminate changelog-style comments from AI-assisted code, use this refactoring tool to strip git commit-style entries and restated function signature explanations, producing cleaner human-readable code.

Why does my code have so many redundant comments after using an LLM?

Redundant comments appear because LLMs generate verbose narration and filler explanations that restate code structure. This Skill removes these unnecessary comments to improve code maintainability.

Will removing AI comments affect my code's business logic explanations?

Removing AI comments will not affect business logic explanations because this Skill specifically preserves essential comments like business logic, issue links, and warnings while deleting only LLM-generated filler.