the-humanizer
Skill1 starsChanged 21 days agoNo licenceView on GitHub
Review any written content (blog posts, LinkedIn posts, emails, Slack messages) for AI-generated patterns, auto-detect the content type, score it, and rewrite it in an authentic human voice. Use this skill whenever the user wants to: review or edit any draft for AI texture, humanize AI-generated writing, detect AI patterns in content, rewrite content to sound more natural or authentic, check if writing "sounds like AI", improve the voice or tone of any written content, score writing for originality or authenticity, or remove AI-sounding language. Also trigger when the user mentions "humanize", "AI detection", "sounds like AI", "make it sound human", "voice check", "blog review", "rewrite in my voice", "LinkedIn post review", "email review", "does this sound like AI" — even if they don't explicitly mention this skill by name. Auto-detects content type (blog, LinkedIn, email, Slack) and applies channel-specific rules automatically.
1 other project uses a version of this.
Adopted by
Most recently taken up by
- jhouser224/claude-skillstheir own version, first seen Jul 18, 2026
Other versions1 project uses a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 1
- jhouser224/claude-skills★ 0same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
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The file
Show its rules and text
We split this skill into the rules it gives an agent
42 rules. About 0 are common, 40 are distinctive, and 2 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈40
Distinctive · estimate
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
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