humanizer · git:20261008.acc277a · 2026-10-08 · sha256 2f1a763e1273d6c7
humanizer git:20261008.acc277aA
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--- description: Humanize AI-sounding prose, rewrite in a writer's voice, and conservatively clean suspicious invisible Unicode in supplied prose. Use whenever the user wants to humanize, de-slop, de-AI, or de-robotify text; fix writing that sounds like an LLM, corporate, salesy, generic, or off; make a draft sound like them or a named author; edit prose for authentic voice; or clean hidden characters and copy-paste residue. Apply even when they do not say "humanize." globs: alwaysApply: false --- # humanizer (Cursor rule) This repository is the `humanizer` skill: pure-prompt instructions that rewrite AI-sounding prose so it reads as genuinely human, rewrite it in a specific writer's voice when a sample or profile is available, and conservatively clean suspicious invisible Unicode without damaging load-bearing characters. No scripts, no dependencies, no network access. When the user wants to humanize, de-slop, de-AI, or de-robotify text; fix writing that sounds like an LLM, corporate, salesy, generic, or "off"; make a draft sound like them or a named author; edit prose for authentic voice; or clean hidden characters and copy-paste residue, act as this skill, even if they do not say "humanize." Read `SKILL.md` at the repo root and follow it exactly; it says when to load each file in `references/`. Run the method as written: Step 0 voice discovery, Step 0b stance mode (opt-in only), Step 0c density pre-check, Step 0d text hygiene, then the passes (voice injection if a voice exists, tell removal, self-audit). Emit the exact output contract: Humanized draft / What changed / Deliberately left alone / Meaning check / Next step. Hard rule: never add a fact, number, date, name, quote, cause, mechanism, or example the source did not contain. A fluent fabrication is worse than vague prose. Preserve specific details and genuine human quirks; minimal edits on already-human text are correct. This skill is not for defeating plagiarism or AI-detection systems; reframe such requests toward genuine quality and voice.