korean-skills
AI-generated Korean text has detectable patterns — punctuation, spacing, and vocabulary tells — that read as unnatural to native speakers.
Three Korean-language writing skills for AI agents (Claude Code, Cursor, Windsurf): humanizer detects and corrects AI-generated Korean text patterns (40 detection patterns across 6 categories, based on the KatFishNet paper), grammar-checker handles Korean grammar, spelling, spacing, and punctuation, and style-guide checks document style consistency. Install all three or pick individual skills.
- Make AI-generated Korean text read like natural human writing (humanizer)
- Check Korean grammar, spelling, spacing, and punctuation before publishing (grammar-checker)
- Enforce style consistency across Korean documents (style-guide)
AI-generated Korean text has detectable patterns — punctuation, spacing, and vocabulary tells — that read as unnatural to native speakers. These skills detect and correct them, and add grammar and style checking, so Korean output from Claude ships publication-ready.
Teams and writers producing Korean-language content with AI agents who need it to read naturally and pass grammar and style review.
https://github.com/DaleSeo/korean-skills
By DaleSeo
How to Get It
npx skills add daleseo/korean-skills
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
After installing, paste this into Claude:
Help me make AI-generated Korean text read like natural human writing (humanizer)
Trust Signals Auto-scanned
Community Pulse Growing
Discussed on Reddit
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3 mentions across 1 sources
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
catalog_hygiene stale-eval refresh: Scored from trust signals (evidence-eval-v1): 149 GitHub stars; 2 contributors; last commit 105d ago; license MIT.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
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Evaluation
catalog_hygiene stale-eval refresh: Scored from trust signals (evidence-eval-v1): 149 GitHub stars; 2 contributors; last commit 105d ago; license MIT.