What problem does it solve? AI-generated and AI-edited text carries detectable patterns—clichéd vocabulary, template paragraph structures, over-explained conclusions, and invented specifics—that make it read as machine-written. Simple word-swapping humanizers fail because the durable signal is structural, not lexical. ## Core Features & Use Cases - Three-level editing: Fixes typography and mechanics (em dashes, Title Case headings, markdown debris), vocabulary and rhetoric (19 stop-list categories with before/after fixes), and structure and epistemics (paragraph symmetry, hedging economy, no invented facts). - Voice calibration: Learns your personal writing style from 3–5 sample texts and saves a reusable profile to references/style-profile.md, so edits match your voice instead of a generic default. - Three edit modes: Free edit (deletes filler, text may shrink), careful edit (preserves structure and 80–110% of length), and minimal edit (only unambiguous AI constructions). - Use Case: Paste an AI-drafted blog post and ask to humanize it; the skill rewrites it with varied sentence rhythm, real specifics only, no self-summarizing paragraphs, and runs a grep-based final check for residual markers. ## Quick Start Ask the AI to unslop or humanize your English text, for example by saying "unslop this" followed by the text you want rewritten.