humanizer

Verified·Scanned 2/12/2026

Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's comprehensive "Signs of AI writing" guide. Detects and fixes patterns including: inflated symbolism, promotional language, superficial -ing analyses, vague attributions, em dash overuse, rule of three, AI vocabulary words, negative parallelisms, and excessive conjunctive phrases.

Credits: Original skill by @blader - https://github.com/blader/humanizer

by softaworks·v2.1.1·22.7 KB·1,557 installs
Scanned from main at 62b5df5 · Transparency log ↗
$ vett add softaworks/agent-toolkit/humanizer

Humanizer

A Claude Code skill that removes signs of AI-generated writing from text, making it sound more natural and human.

Installation

Recommended (clone directly into Claude Code skills directory)

mkdir -p ~/.claude/skills
git clone https://github.com/blader/humanizer.git ~/.claude/skills/humanizer

Manual install/update (only the skill file)

If you already have this repo cloned (or you downloaded SKILL.md), copy the skill file into Claude Code’s skills directory:

mkdir -p ~/.claude/skills/humanizer
cp SKILL.md ~/.claude/skills/humanizer/

Usage

In Claude Code, invoke the skill:

/humanizer

[paste your text here]

Or ask Claude to humanize text directly:

Please humanize this text: [your text]

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.

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."

24 Patterns Detected (with Before/After Examples)

Content Patterns

#PatternBeforeAfter
1Significance inflation"marking a pivotal moment in the evolution of...""was established in 1989 to collect regional statistics"
2Notability name-dropping"cited in NYT, BBC, FT, and The Hindu""In a 2024 NYT interview, she argued..."
3Superficial -ing analyses"symbolizing... reflecting... showcasing..."Remove or expand with actual sources
4Promotional language"nestled within the breathtaking region""is a town in the Gonder region"
5Vague attributions"Experts believe it plays a crucial role""according to a 2019 survey by..."
6Formulaic challenges"Despite challenges... continues to thrive"Specific facts about actual challenges

Language Patterns

#PatternBeforeAfter
7AI vocabulary"Additionally... testament... landscape... showcasing""also... remain common"
8Copula avoidance"serves as... features... boasts""is... has"
9Negative parallelisms"It's not just X, it's Y"State the point directly
10Rule of three"innovation, inspiration, and insights"Use natural number of items
11Synonym cycling"protagonist... main character... central figure... hero""protagonist" (repeat when clearest)
12False ranges"from the Big Bang to dark matter"List topics directly

Style Patterns

#PatternBeforeAfter
13Em dash overuse"institutions—not the people—yet this continues—"Use commas or periods
14Boldface overuse"OKRs, KPIs, BMC""OKRs, KPIs, BMC"
15Inline-header lists"Performance: Performance improved"Convert to prose
16Title Case Headings"Strategic Negotiations And Partnerships""Strategic negotiations and partnerships"
17Emojis"🚀 Launch Phase: 💡 Key Insight:"Remove emojis
18Curly quotessaid “the project”said "the project"

Communication Patterns

#PatternBeforeAfter
19Chatbot artifacts"I hope this helps! Let me know if..."Remove entirely
20Cutoff disclaimers"While details are limited in available sources..."Find sources or remove
21Sycophantic tone"Great question! You're absolutely right!"Respond directly

Filler and Hedging

#PatternBeforeAfter
22Filler phrases"In order to", "Due to the fact that""To", "Because"
23Excessive hedging"could potentially possibly""may"
24Generic conclusions"The future looks bright"Specific plans or facts

Full Example

Before (AI-sounding):

The new software update serves as a testament to the company's commitment to innovation. Moreover, it provides a seamless, intuitive, and powerful user experience—ensuring that users can accomplish their goals efficiently. It's not just an update, it's a revolution in how we think about productivity. Industry experts believe this will have a lasting impact on the entire sector, highlighting the company's pivotal role in the evolving technological landscape.

After (Humanized):

The software update adds batch processing, keyboard shortcuts, and offline mode. Early feedback from beta testers has been positive, with most reporting faster task completion.

References

Version History

  • 2.1.1 - Fixed pattern #18 example (curly quotes vs straight quotes)
  • 2.1.0 - Added before/after examples for all 24 patterns
  • 2.0.0 - Complete rewrite based on raw Wikipedia article content
  • 1.0.0 - Initial release

License

MIT