Will this skill delete important technical information?

No, the skill follows strict context-preservation rules. It is programmed to always preserve technical specifications, numeric values, error conditions, security warnings, and architectural rationales.

How does the confidence assessment work?

After processing, the skill provides a rating from 0.0 to 1.0. A score of 0.8-1.0 indicates that the text is significantly cleaner with zero loss of technical meaning.

Does it support different levels of cleanup aggressiveness?

Yes, the skill includes different modes (slop, comments, docs, or all) and allows for a preview mode so you can review changes before they are applied.

What exactly is 'AI slop' in the context of this skill?

AI slop refers to unnecessary conversational filler, such as 'Certainly! I'd be happy to help with that,' or redundant hedging language that adds length to a response without adding any technical value.

Can I use this for cleaning up existing codebases?

Yes, it is specifically designed to identify redundant comments—such as those where a comment simply repeats a clear function name—to improve code maintainability.

AI Text Cleanup & Slop Removal

Name: AI Text Cleanup & Slop Removal
Author: v1truv1us

byv1truv1us

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콘텐츠 관리

Eliminates AI-generated verbosity, conversational filler, and redundant documentation patterns to improve technical clarity.

The Text Cleanup skill is a specialized utility designed to strip away 'AI slop'—the verbose preambles, hedging language, and repetitive conversational filler often produced by large language models. By applying systematic pattern matching and context-aware rules, it transforms wordy AI outputs into concise, professional documentation and code comments. It provides a structured framework for improving the signal-to-noise ratio in technical communication, ensuring that every word adds value while strictly preserving critical architectural decisions, security warnings, and technical specifications.

주요 기능

01Intelligent pruning of redundant code comments that merely repeat function signatures

02Systematic documentation cleanup to remove repetitive openers and transitions

03Filtering of hedging language and excessive politeness to increase information density

04Confidence scoring system (0.0-1.0) to ensure technical meaning remains intact

052 GitHub stars

06Automated removal of conversational preambles like 'Certainly!' and 'I'd be happy to help'

사용 사례

01Standardizing PR descriptions and commit messages by removing conversational fluff

02Cleaning up auto-generated codebases to remove self-evident and redundant comments

03Refining AI-generated technical guides to make them more professional and direct

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add v1truv1us/ai-eng-system text-cleanup

For use in Claude.ai and ChatGPT

Download Skill