This strips AI-generated patterns from text and scores how human it sounds on a 0-10 scale. Built from analyzing 1,000+ AI versus human content pieces, it catches 47 specific patterns like "leverage," "in today's fast-paced world," and excessive "Moreover" transitions. You get three modes: quick for blog posts, standard for anything public (includes scoring and change logs), and deep for matching a specific writer's voice. The case study is legit: a B2B team cut bounce rate 55% after processing posts through it. Saves you from manually rewriting AI slop or spending 15 minutes crafting the perfect "sound more human" prompt every time.
- skills.sh installs
- 599
- GitHub stars
- 455
- last updated
- Aug 21, 2026
Install
$ npx -y skills add brianrwagner/ai-marketing-claude-code-skills --skill de-ai-ify --agent claude-codeInstalls into .claude/skills of the current project.
Files
De-AI-ify Text
Remove AI-generated patterns and restore natural human voice to your writing.
Why This vs ChatGPT?
Problem with raw ChatGPT: Just asking "make this sound more human" gives inconsistent results. You get different rewrites each time, no systematic pattern removal, and no validation.
This skill provides:
- Systematic detection - Trained on 1,000+ AI vs human comparisons to identify 47 specific patterns
- Consistent methodology - Same transformation logic every time, not random rewrites
- Validation scoring - Measures "human-ness" on 0-10 scale using readability metrics
- Change tracking - Shows exactly what was fixed and why
- Preservation mode - Keeps your facts, structure, and key points while fixing the voice
You can replicate this with ChatGPT if you: Include all 47 patterns, build a scoring system, track changes manually, and spend 15 minutes per doc. This skill does it in 30 seconds.
Mode
Detect from context or ask: "Quick pass, full cleanup, or match a specific voice?"
Sponsors
Details
- Repository
- github.com/brianrwagner/ai-marketing-claude-code-skills
- Categories
- AI & Agent Building, Marketing & SEO
- First seen
- Jun 3, 2026
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