Is this skill compatible with existing documentation formats?

Yes, it is designed to work across source code comments, Markdown documentation, and general technical text common in software projects.

Will this skill remove important technical details from my code?

No. The skill is designed with strict preservation rules for technical specifications, error conditions, formulas, and architectural decisions to ensure only fluff is removed.

What exactly is 'AI slop'?

AI slop refers to the verbose, repetitive, and overly polite filler phrases often generated by AI models—like 'Certainly!' or 'It is worth noting that'—which add no informational value.

Can I preview the changes before they are applied to my files?

Yes, the skill includes a preview mode that allows you to review all proposed removals and pattern matches before any permanent modifications are made.

How does the Cleanup Confidence Assessment work?

It provides a score from 0.0 to 1.0 based on the effectiveness of pattern removal versus the risk of losing meaning, helping you decide if the cleanup was successful.

Text Cleanup & Slop Removal

Name: Text Cleanup & Slop Removal
Author: v1truv1us

byv1truv1us

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生产力与工作流

Removes AI-generated verbosity, conversational filler, and redundant code comments to improve information density.

关于

This skill empowers Claude to systematically identify and eliminate 'AI slop'—the wordy, overly polite, or redundant language often generated by large language models. By applying sophisticated pattern matching and context-aware rules, it transforms verbose technical documentation and cluttered code comments into concise, high-signal content. It is particularly useful for developers and technical writers who need to maintain professional, clear, and direct communication while ensuring that technical precision and critical meaning remain perfectly intact.

主要功能

Redundant Comment Cleanup: Eliminates code comments that simply restate function names or obvious logic.
Context-Aware Preservation: Protects technical specifications, formulas, and architectural rationales.
AI Slop Identification: Detects and removes conversational preambles and excessive politeness.
Documentation Refinement: Trims verbose transitions and conversational openers in technical guides.
Confidence Assessment: Provides a 0.0 to 1.0 rating to ensure high-quality, safe content reduction.
2 GitHub stars

使用场景

Pruning self-evident comments from codebases to improve maintainability and readability.
Refactoring AI-generated documentation to be concise and reader-friendly for technical teams.
Cleaning up LLM conversational filler from pull request descriptions and team communications.

关于

主要功能

Redundant Comment Cleanup: Eliminates code comments that simply restate function names or obvious logic.
Context-Aware Preservation: Protects technical specifications, formulas, and architectural rationales.
AI Slop Identification: Detects and removes conversational preambles and excessive politeness.
Documentation Refinement: Trims verbose transitions and conversational openers in technical guides.
Confidence Assessment: Provides a 0.0 to 1.0 rating to ensure high-quality, safe content reduction.
2 GitHub stars

使用场景

Pruning self-evident comments from codebases to improve maintainability and readability.
Refactoring AI-generated documentation to be concise and reader-friendly for technical teams.
Cleaning up LLM conversational filler from pull request descriptions and team communications.