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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生産性とワークフロー

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

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.

主な機能

01Redundant Comment Cleanup: Eliminates code comments that simply restate function names or obvious logic.

02Context-Aware Preservation: Protects technical specifications, formulas, and architectural rationales.

03AI Slop Identification: Detects and removes conversational preambles and excessive politeness.

04Documentation Refinement: Trims verbose transitions and conversational openers in technical guides.

05Confidence Assessment: Provides a 0.0 to 1.0 rating to ensure high-quality, safe content reduction.

062 GitHub stars

ユースケース

01Pruning self-evident comments from codebases to improve maintainability and readability.

02Refactoring AI-generated documentation to be concise and reader-friendly for technical teams.

03Cleaning up LLM conversational filler from pull request descriptions and team communications.

主な機能

01Redundant Comment Cleanup: Eliminates code comments that simply restate function names or obvious logic.

02Context-Aware Preservation: Protects technical specifications, formulas, and architectural rationales.

03AI Slop Identification: Detects and removes conversational preambles and excessive politeness.

04Documentation Refinement: Trims verbose transitions and conversational openers in technical guides.

05Confidence Assessment: Provides a 0.0 to 1.0 rating to ensure high-quality, safe content reduction.

062 GitHub stars

ユースケース

01Pruning self-evident comments from codebases to improve maintainability and readability.

02Refactoring AI-generated documentation to be concise and reader-friendly for technical teams.

03Cleaning up LLM conversational filler from pull request descriptions and team communications.