概要
Text Cleanup is a specialized skill for Claude Code designed to refine AI-generated content by removing 'slop'—the verbose, redundant, and overly polite filler often found in LLM outputs. It employs systematic pattern matching to strip away conversational preambles, hedging language, and self-evident code comments while rigorously preserving technical accuracy and essential context. By increasing the signal-to-noise ratio, this skill ensures that documentation, commit messages, and source code remain professional, concise, and easy for humans to parse without losing critical nuances.
