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Humanizer (Remove AI Writing Tells)

An editing skill that finds and rewrites 24 tell-tale AI writing patterns, based on Wikipedia's "Signs of AI writing" guide.

Content & WritingBeginner21214AI score 10/10Last updated: Jul 24, 2026

What it does

  • Scans text for 24 documented AI tells: inflated significance ("stands as a testament", "pivotal moment"), promotional language, superficial "-ing" analyses, vague attributions ("experts believe"), em dash overuse, rule-of-three padding, negative parallelisms ("it's not X, it's Y"), mechanical boldface and emoji, chatbot residue ("I hope this helps!"), hedging and filler phrases.
  • Every pattern ships with a before/after rewrite, so the instruction is to rewrite naturally rather than just delete keywords.
  • Includes a "personality and soul" section: vary sentence rhythm, take a position, use first person when it fits — while explicitly banning embodied-emotion performance ("my chest tightened"), which it flags as the strongest AI structural tell.
  • For marketing copy, landing pages, product UI or social posts, it adds a copy-specific reference (references/copy-tells.md) and a deterministic scanner (python3 scripts/copy_scan.py <file>).
  • States its own scope honestly: this is pass 1 of 2, covering surface wording and punctuation only; structural tells require the companion structural-humanizer skill.

Who it's for

  • Bloggers, newsletter writers and ghostwriters cleaning up AI-assisted drafts
  • Marketers and brand editors who need copy that doesn't read as machine-generated
  • Developers and technical writers de-hyping READMEs, release notes and docs
  • Students and analysts who want plainer, more specific prose

Examples

  1. "Humanize draft.md" → the skill removes em dashes, AI vocabulary like "landscape" and "pivotal", and rule-of-three lists, then returns the rewrite plus a change log.
  2. Landing page review: run python3 scripts/copy_scan.py landing.md for the mechanical hits, then rewrite using the copy-specific tells.
  3. Replace "industry experts believe..." with a named source and a number, and swap a generic "the future looks bright" ending for a concrete next-step sentence.

· · · Install guide · · ·

Try it now, no install

Paste this into Claude to use the skill without installing anything.

Read the instructions in this file and follow them to help me:
https://raw.githubusercontent.com/NulightJens/humanizer-stack/HEAD/skills/humanizer/SKILL.md

What I want: (describe your task here)

If Claude can't open the link, open it yourself and paste the contents instead.

If it works for you, download the ZIP below and install it. Then it runs on its own — no pasting each time.

Install in the Claude app (no terminal)
  1. Download the ZIP with the button below.
  2. In Claude, open Settings → Capabilities and turn on 'Code execution and file creation'. (one time)
  3. Go to Customize → Skills → + → 'Upload a skill' and upload the ZIP.
Download ZIP
Install in Claude Code

Let Claude do it — paste this into Claude Code

Install the skill I found on Claude Skill Mart.
Copy the skills/humanizer folder from the GitHub repo NulightJens/humanizer-stack into my ~/.claude/skills/humanizer/.
When it's done, tell me in one line what this skill can do.

Install with a command instead

git clone https://github.com/NulightJens/humanizer-stack.git && mkdir -p ~/.claude/skills && cp -r humanizer-stack/skills/humanizer ~/.claude/skills/

This is a third-party skill. Check the source repository before installing.

  1. Open a terminal (Terminal on macOS/Linux, Git Bash on Windows).
  2. Clone the repo: git clone https://github.com/NulightJens/humanizer-stack.git
  3. Create the skills folder if needed: mkdir -p ~/.claude/skills
  4. Copy the skill in: cp -r humanizer-stack/skills/humanizer ~/.claude/skills/
  5. Optional but recommended: copy the bundled structural-humanizer skill the same way to run the second pass.
  6. Restart Claude Code and confirm humanizer appears in your skill list.
  7. Try it: "Humanize this draft and list what you changed." The optional copy_scan.py step requires python3 on your machine.
View source on GitHubLicense: NOASSERTION