What is considered 'AI slop' by this skill?

AI slop includes conversational fillers like 'Certainly!', 'I hope this helps!', and hedging language like 'It's worth noting that' which adds no technical value.

Will it accidentally remove important technical details?

No, the skill uses strict context preservation rules to ensure technical specifications, formulas, error conditions, and architectural rationales are never removed.

Can I use this for cleaning up existing code comments?

Yes, it specifically targets redundant comments that repeat function signatures or obvious code logic, making your codebase cleaner and more maintainable.

How does the confidence assessment work?

After cleanup, the skill provides a score from 0.0 to 1.0 based on how much fluff was removed versus the risk of having impacted the original meaning.

Does it support a preview mode before making changes?

Yes, the skill includes a --preview flag that allows you to see exactly which phrases and patterns will be removed before applying the changes.

Text Cleanup & Slop Removal

Name: Text Cleanup & Slop Removal
Author: v1truv1us

byv1truv1us

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Productivity & Workflow

Removes AI-generated verbosity, conversational fillers, and redundant comments to improve information density and clarity.

The Text Cleanup skill optimizes AI-generated content by systematically identifying and removing 'slop'—the non-essential conversational padding, hedging language, and redundant explanations often produced by Large Language Models. It employs a sophisticated pattern-matching algorithm with context awareness to ensure that while fluff is removed, critical technical specifications, architectural decisions, and error conditions remain perfectly intact. This skill is essential for developers who want to maintain professional-grade documentation and clean code comments without the manual overhead of editing out repetitive AI mannerisms.

Key Features

01Automated removal of AI conversational preambles and excessive politeness

02Documentation optimization by replacing verbose openers with direct introductions

03Context-aware hedging language reduction to improve technical authority

042 GitHub stars

05Redundant code comment detection based on function signatures

06Confidence assessment scoring to ensure no critical technical data is lost

Use Cases

01Refining auto-generated PR descriptions and commit messages for better readability

02Refactoring codebases to strip out self-evident or repetitive AI-generated comments

03Polishing technical documentation to increase the signal-to-noise ratio for readers

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