# Ig Humanizer

Remove the AI tells readers react to in an Instagram caption or carousel slide: 2026...

- Repository: https://github.com/sergebulaev/instagram-skills (696 stars)
- Category: Documents
- License: MIT
- Last updated: 2026-10-28
- Runs scripts: no, instructions only

## Install

Claude Code: `npx skills add sergebulaev/instagram-skills --skill ig-humanizer -g -a claude-code -y`
Codex: `npx skills add sergebulaev/instagram-skills --skill ig-humanizer -g -a codex -y`
Cursor: `npx skills add sergebulaev/instagram-skills --skill ig-humanizer -g -a cursor -y`
Gemini CLI: `npx skills add sergebulaev/instagram-skills --skill ig-humanizer -g -a gemini-cli -y`
Claude Code plugin marketplace: `/plugin marketplace add sergebulaev/instagram-skills`

## Description

Remove the AI tells readers react to in an Instagram caption or carousel slide: 2026 vocabulary by density, reveal bridges, staccato stacks, stacked triads, performed sincerity, emoji storms; caps em dashes. Includes --mode audit (first-125 hook, length, hashtags, emoji, CTA, media) and --mode profile. Not for beating AI detectors (no edit reliably does). Not for writing from scratch (use ig-caption-writer or ig-carousel-planner). Keywords: humanize, de-AI caption, audit before posting.

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# Instagram Humanizer V3

Rewrites any caption or carousel slide text to remove the AI tells that human
readers notice, and audits a finished caption against the 2026 Instagram
checklist. Based on Wikipedia's "Signs of AI writing" taxonomy, the 2025-2026
stylometry literature, our own Instagram caption corpus (n=284, prevalence
only), and Instagram-specific patterns (the first-125 fold, the
lowercase-casual caption register, sized hashtags, sends-and-saves structure).
**V3 (2026-09):** recalibrated on 2026 evidence. Vocabulary is scored by
density, em dashes are capped instead of banned (and the cap is generous here:
29% of human captions use one), forced rhythm is now a tell instead of a fix,
and there is an over-correction guard.

**What this skill does not do:** it does not make text "pass" GPTZero,
Pangram, Turnitin or Originality. Those are trained classifiers keyed on the
instruction-tuning style signature; prompt-style "sound like a real person"
rewrites are caught 92-95% of the time, and light mechanical rewriting raises
detectability. On caption-length text (under 300 words) detector scores are
noise. The real value is elsewhere: expert human readers cite vocabulary (53%)
and sentence structure (36%) as what gives AI text away, and on Instagram a
caption that reads as a brand account earns neither the save nor the send.
This skill removes what those readers react to.

## What changed in V3

Evidence tier in brackets: [strong] = replicated across 2+ independent
2025-2026 studies or our own corpus; [vendor] = single platform or vendor
dataset; [weak] = one study or expert-panel report.

The rest: https://github.com/sergebulaev/instagram-skills/blob/HEAD/.codex-marketplace/instagram-skills/skills/ig-humanizer/SKILL.md