What problem does it solve? AI-generated text carries recognizable patterns—inflated significance claims, promotional language, vague attributions, and formulaic structures—that make writing sound robotic and erode reader trust. This Skill identifies and rewrites those patterns so documentation, comments, and summaries read as natural human prose. ## Core Features & Use Cases - Pattern Detection: Scans text for 24 documented AI writing patterns, including overused vocabulary ("delve", "tapestry", "pivotal"), superficial -ing phrases, rule-of-three lists, em dash overuse, and sycophantic tone. - Voice Restoration: Goes beyond removing bad patterns by injecting personality—varied sentence rhythm, first-person perspective where appropriate, and specific concrete details instead of vague claims. - Before/After Rewriting: Provides rewritten text plus an optional summary of changes, grounded in Wikipedia's "Signs of AI writing" guide maintained by WikiProject AI Cleanup. - Use Case: You drafted a README with an AI assistant and it reads like a press release full of "nestled in the heart of" and "stands as a testament to". Run the humanizer to strip the slop and get prose that sounds like a person wrote it. ## Quick Start Humanize this project summary and remove any AI writing patterns while keeping the technical details intact.