Will this skill delete my actual code or technical logic?

No. The skill is designed with strict preservation rules for technical specifications, logic, error conditions, and architectural decisions. It primarily targets comments and conversational padding.

What does the Confidence Assessment score mean?

It's a rating from 0.0 to 1.0 that tells you how successful the cleanup was. A score of 0.8-1.0 means the text is significantly cleaner with no loss of technical meaning.

What is 'AI slop' and why should I remove it?

AI slop refers to the conversational filler, excessive politeness, and repetitive preambles common in LLM outputs. Removing it improves the signal-to-noise ratio, making documentation more professional and easier to read.

Can I customize which patterns are removed?

Yes, the skill supports user customization for pattern databases, allowing you to define specific phrases to keep or remove based on your project's style guide.

Text Cleanup & Slop Removal

Name: Text Cleanup & Slop Removal
Author: v1truv1us

byv1truv1us

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コンテンツ管理

Removes AI-generated verbosity, conversational slop, and redundant code comments to improve signal-to-noise ratio in technical documentation.

概要

The Text Cleanup skill is a specialized utility designed to strip away 'AI slop'—the conversational filler, excessive politeness, and redundant preambles often found in LLM-generated outputs. By employing a systematic methodology of pattern matching and context analysis, it identifies and removes hedging language, verbose transitions, and self-evident code comments. This tool is essential for developers and technical writers who need to maintain professional, high-density documentation and clean codebases where every word adds value without sacrificing technical precision or critical meaning.

主な機能

2 GitHub stars
Includes a Confidence Assessment system to ensure technical meaning is never lost.
Identifies and removes conversational preambles like 'Certainly!' and 'I'd be happy to help.'
Filters hedging language and verbose transitions to increase information density.
Supports specialized modes for source code, technical documentation, and conversational text.
Cleans redundant code comments that repeat function signatures or obvious logic.

ユースケース

Cleaning up verbose or redundant comments in a codebase to improve maintainability.
Refining AI-generated documentation to make it concise and professional for team review.
Optimizing PR descriptions and commit messages by removing conversational padding.

概要

主な機能

2 GitHub stars
Includes a Confidence Assessment system to ensure technical meaning is never lost.
Identifies and removes conversational preambles like 'Certainly!' and 'I'd be happy to help.'
Filters hedging language and verbose transitions to increase information density.
Supports specialized modes for source code, technical documentation, and conversational text.
Cleans redundant code comments that repeat function signatures or obvious logic.

ユースケース

Cleaning up verbose or redundant comments in a codebase to improve maintainability.
Refining AI-generated documentation to make it concise and professional for team review.
Optimizing PR descriptions and commit messages by removing conversational padding.