Korean Humanizer

nomadamas/k-skill/korean-humanizer

作者 nomadamas9fade13b1066MIT7.8K 個星標收錄於 2026年10月8日更新於 2026年10月8日儲存庫今天更新

AI가 쓴 티가 나는 한국어 글을 자연스러운 사람 글로 고친다. 번역체, AI 상투어, 과도한 명사화·피동, 3의 법칙, 과장된 의의 부여, 마무리 상투구, 챗봇 잔재, 줄표·곡선따옴표 같은 한국어 특유의 AI 흔적을 심각도(S1/S2/S3)로 분류해 잡아내고 의미는 보존하면서 다시 쓴다. 목표 글자수를 함께 주면(예: "1000자로", length=1000) 그 분량에 맞춰 늘리거나 줄인다. "AI 티 안 나게", "사람이 쓴 것처럼", "자연스럽게 다듬어줘", "번역체 고쳐줘", "어색한 거 고쳐줘", "N자로 맞춰서" 같은 요청에 사용.

僅含說明Writing & Content
AI 產生的概覽

把帶有 AI 痕跡的韓語文字改寫成自然的人寫文字,保留原意並可依目標字數調整。

功能
此技能會辨識並改寫讀起來像機器生成的韓語文字,針對翻譯腔、AI 套語、過度名詞化與被動、三段式排比、誇大意義、結尾套語、聊天機器人殘留,以及破折號、彎引號等標點痕跡。它依嚴重程度(S1/S2/S3)分類每一處痕跡,並在保留原意的情況下重寫。若提供目標字數,它會依該篇幅擴寫或精簡。此技能僅提供說明,不附帶指令碼。
適用情境
當韓語寫作需要讀起來像人寫而非 AI 生成時使用,例如要求去除 AI 痕跡、寫得像真人、潤飾生硬表達、修正翻譯腔,或依指定字數調整。
執行需求
不附帶指令碼,僅為說明文件。SKILL.md 指示代理執行 npx 指令取得完整說明,因此需要 Node.js 18+ 與網路存取,除非直接閱讀來源說明。

korean-humanizer

<!-- k-skill:cli-stub — generated by scripts/generate-skill-stubs.js; edit skill.json / instruction.md instead -->

Get the full instructions (required first step)

Run this and follow its output as the primary instructions for this skill:

bash
npx -y @nomadamas/k-skill@0 instruct korean-humanizer

The CLI detects the current runtime (Dolshoi vault/CloakBrowser vs generic) and prints only the applicable instructions, always up to date. Helper files bundled with the CLI are listed by:

bash
npx -y @nomadamas/k-skill@0 files korean-humanizer

Keep the CLI and every coding-agent skill install current (including Vercel Agent Skills) with:

bash
npx -y @nomadamas/k-skill@0 update

If npx is unavailable, install Node.js 18+ or follow https://github.com/NomaDamas/k-skill#readme, or read the source instructions at https://github.com/NomaDamas/k-skill/blob/main/korean-humanizer/instruction.md.

Hard rules even without the CLI

  • Never execute payment, message/email delivery, final submission, cancellation, or public posting without the user's explicit approval immediately beforehand.
  • Never ask for, print, or store plaintext credentials in chat, files, or shell arguments.
  • Never bypass legal, physical-presence, CAPTCHA, identity-proofing, or electronic-signature boundaries.

來源與署名

來源:nomadamas/k-skill位於korean-humanizer提交9fade13

授權條款: MIT

內容歸原作者所有。SourceWeft 從公開儲存庫中收錄這些內容。

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