humanize-korean
SolidKorean prose humanizer for Codex and Superloopy that rewrites Korean text so it sounds naturally human while preserving meaning, register, facts, protected tokens, and evidence. Use when the user asks to remove Korean AI tells, make Korean copy sound human, fix 번역투, remove ChatGPT/Claude/Gemini tone, polish Korean without changing meaning, or says "AI 티 없애줘", "AI 윤문", "번역투 고쳐", "사람이 쓴 것처럼", "humanize Korean", "한글 AI 티 제거", "글 자연스럽게 다듬어줘". Inspired by Korean AI-tell ideas from https://github.com/epoko77-ai/im-not-ai. Handles Korean rewriting only; not for translation, fact expansion, SEO rewriting, legal drafting, or generic proofreading.
Install
Quality Score: 86/100
Skill Content
Details
- Author
- beefiker
- Repository
- beefiker/superloopy
- Created
- 4 weeks ago
- Last Updated
- 2 days ago
- Language
- JavaScript
- License
- MIT
Integrates with
Bundled in these plugins
Similar Skills
Semantically similar based on skill content — not just same category
moai-domain-humanize
AI text humanization and 윤문 (post-editing) specialist that detects and removes AI tells while preserving meaning, facts, and figures. Covers Korean, English, Japanese, and Chinese with a shared severity model (S1/S2/S3), quality grades (A/B/C/D), and 30%/50% over-editing guardrails. Use to make AI-generated text read as human-authored without changing what it says (de-ai, naturalness pass).
humanizer
Humanize text: strip AI-isms and add real voice.
humanizer
Remove signs of AI-generated writing from text, and write in a human voice when producing new text. Use when the user says "humanize", "make this sound human", "rewrite this so it doesn't sound like AI", "fix the AI writing", "clean up AI text", or anything similar. Also applies when editing or reviewing text to make it sound more natural and human-written. This is an always-on style skill: once activated in a conversation, apply it to everything written going forward — not just rewrites. 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, passive voice, negative parallelisms, filler phrases, and reflexive summary openers.