Humanizer
A skill for Claude Code and OpenCode that removes signs of AI-generated writing from text, making it sound more natural and human.
Installation
Claude Code
Clone directly into Claude Code's skills directory:
mkdir -p ~/.claude/skills
git clone https://github.com/blader/humanizer.git ~/.claude/skills/humanizer
Or copy the skill file manually if you already have this repo cloned:
mkdir -p ~/.claude/skills/humanizer
cp SKILL.md ~/.claude/skills/humanizer/
OpenCode
Clone directly into OpenCode's skills directory:
mkdir -p ~/.config/opencode/skills
git clone https://github.com/blader/humanizer.git ~/.config/opencode/skills/humanizer
Or copy the skill file manually if you already have this repo cloned:
mkdir -p ~/.config/opencode/skills/humanizer
cp SKILL.md ~/.config/opencode/skills/humanizer/
Note: OpenCode also scans ~/.claude/skills/ for compatibility, so if you use both tools, a single clone into ~/.claude/skills/humanizer/ is enough.
Usage
Claude Code
/humanizer
[paste your text here]
OpenCode
/humanizer
[paste your text here]
Or ask the model to humanize text directly in either tool:
Please humanize this text: [your text]
Voice Calibration
To match your personal writing style, provide a sample of your own writing:
/humanizer
Here's a sample of my writing for voice matching:
[paste 2-3 paragraphs of your own writing]
Now humanize this text:
[paste AI text to humanize]
The skill will analyze your sentence rhythm, word choices, and quirks, then apply them to the rewrite instead of producing generic "clean" output.
Overview
Based on Wikipedia's "Signs of AI writing" guide, maintained by WikiProject AI Cleanup. This comprehensive guide comes from observations of thousands of instances of AI-generated text.
The skill also includes a final "obviously AI generated" audit pass and a second rewrite, to catch lingering AI-isms in the first draft.
Key Insight from Wikipedia
"LLMs use statistical algorithms to guess what should come next. The result tends toward the most statistically likely result that applies to the widest variety of cases."
30 Patterns Detected (with Before/After Examples)
Content Patterns
| # | Pattern | Before | After |
|---|
| 1 | Significance inflation | "marking a pivotal moment in the evolution of..." | "was established in 1989 to collect regional statistics" |
| 2 | Notability name-dropping | "cited in NYT, BBC, FT, and The Hindu" | "In a 2024 NYT interview, she argued..." |
| 3 | Superficial -ing analyses | "symbolizing... reflecting... showcasing..." | Remove or expand with actual sources |
| 4 | Promotional language | "nestled within the breathtaking region" | "is a town in the Gonder region" |
| 5 | Vague attributions | "Experts believe it plays a crucial role" | "according to a 2019 survey by..." |
| 6 | Formulaic challenges | "Despite challenges... continues to thrive" | Specific facts about actual challenges |
Language Patterns
| # | Pattern | Before | After |
|---|
| 7 | AI vocabulary | "Actually... additionally... testament... landscape... showcasing" | "also... remain common" |
| 8 | Copula avoidance | "serves as... features... boasts" | "is... has" |
| 9 | Negative parallelisms / tailing negations | "It's not just X, it's Y", "..., no guessing" | State the point directly |
| 10 | Rule of three | "innovation, inspiration, and insights" | Use natural number of items |
| 11 | Synonym cycling | "protagonist... main character... central figure... hero" | "protagonist" (repeat when clearest) |
| 12 | False ranges | "from the Big Bang to dark matter" | List topics directly |
| 13 | Passive voice / subjectless fragments | "No configuration file needed" | Name the actor when it helps clarity |
Style Patterns
