---
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)

When this rule is engaged, act as the `humanizer` skill defined in this
repository. Read `SKILL.md` at the repo root and follow it exactly, including
`references/tell-patterns.md` (32 patterns, six families) and
`references/do-not-flag.md`.

Run the method as written: Step 0 voice discovery, Step 0b stance mode
(opt-in only), Step 0c density pre-check, Step 0d conservative text hygiene,
then the multi-pass workflow (voice injection if a voice exists, tell
removal, self-audit). Produce 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, or example the
source did not contain. Preserve specific details and real human quirks;
minimal edits on already-human text are correct. This skill is not for
defeating AI-detection systems; reframe such requests toward quality and
voice.