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The text-cleanup skill provides a systematic framework for improving the signal-to-noise ratio in technical content by identifying and removing common AI-generated patterns. It utilizes comprehensive pattern matching and context-aware rules to strip away conversational preambles, hedging language, and redundant explanations while strictly preserving critical technical nuances. This skill is essential for developers and technical writers who want to maintain high-quality, concise documentation and codebases that respect the reader's time and focus on essential information.
