Back to feed

Humanize KR: Claude Code Skill for Natural Korean Text

epoko77-ai/im-not-ai
585
+78/day
60
PythonAI/ML๐Ÿš€ Just Launched

AI๊ฐ€ ์“ด ๊ธ€์ด ์•„๋‹Œ ๊ฒƒ์ฒ˜๋Ÿผ ์œค๋ฌธํ•ด์ฃผ๋Š” ์Šคํ‚ฌ

AI Analysis

A specialized Claude Code skill that removes AI-generated stylistic markers from Korean text while preserving original meaning.

Built for Content creators and developers who use LLMs to draft Korean text and need to eliminate machine-like translation artifacts.

From the README

Humanize KR โ€” ํ•œ๊ธ€ AI ํ‹ฐ ์ œ๊ฑฐ๊ธฐ v1.5

AI(ChatGPT ยท Claude ยท Gemini ๋“ฑ)๊ฐ€ ์“ด ํ•œ๊ธ€ ๊ธ€์„ ๋‚ด์šฉ์€ ํ•œ ๊ธ€์ž๋„ ๊ฑด๋“œ๋ฆฌ์ง€ ์•Š๊ณ  ๋ฌธ์ฒด ยท ๋ฆฌ๋“ฌ ยท ํ‘œํ˜„๋งŒ ์ž์—ฐ์Šค๋Ÿฌ์šด ํ•œ๊ตญ์–ด๋กœ ๋˜๋Œ๋ฆฌ๋Š” Claude Code ์Šคํ‚ฌ์ž…๋‹ˆ๋‹ค.

๋ฒˆ์—ญํˆฌ, ๊ณผ๋„ํ•œ ์˜์–ด ์ธ์šฉ, ๊ธฐ๊ณ„์  ๋ณ‘๋ ฌ ("์ฒซ์งธ ยท ๋‘˜์งธ ยท ์…‹์งธ"), "๊ฒฐ๋ก ์ ์œผ๋กœ / ์‹œ์‚ฌํ•˜๋Š” ๋ฐ”๊ฐ€ ํฌ๋‹ค" ๊ฐ™์€ AI ํŠน์œ  ๊ด€์šฉ๊ตฌ, ํ”ผ๋™ํƒœ ๋‚จ์šฉ, ๋ฌธ๋‘ ์ ‘์†์‚ฌ ๋‚จ๋ฐœ, ์ด๋ชจ์ง€ยท๋ถˆ๋ฆฟ ๋‚จ์šฉ ๋“ฑ 10๋Œ€ ์นดํ…Œ๊ณ ๋ฆฌ ร— 40+ ์„œ๋ธŒ ํŒจํ„ด์„ ์‹ฌ๊ฐ๋„(S1/S2/S3)๋กœ ๋ถ„๋ฅ˜ํ•ด ์ŠคํŒฌ ๋‹จ์œ„๋กœ ํƒ์ง€ํ•œ ๋’ค, ์œค๋ฌธํ•ฉ๋‹ˆ๋‹ค.

์™œ ํ•œ๊ธ€ ํŠนํ™”์ธ๊ฐ€

์˜์–ด๊ถŒ humanizer(QuillBot ยท Hix ยท Undetectable AI)๋Š” ํ•œ๊ตญ์–ด์— ์•ฝํ•ฉ๋‹ˆ๋‹ค. ํ•œ๊ธ€ AI ๊ธ€์˜ ํ‹ฐ๋Š” ๋Œ€๋ถ€๋ถ„ ์˜์–ด ๋ฒˆ์—ญํˆฌ์—์„œ ๋‚˜์˜ต๋‹ˆ๋‹ค.

  • "AI ๊ธฐ์ˆ ์„ ํ†ตํ•ด ํšจ์œจ์„ ๋†’์ผ ์ˆ˜ ์žˆ๋‹ค" โ†’ "AI๋กœ ํšจ์œจ์„ ๋†’์ธ๋‹ค"
  • "์ด์— ์žˆ์–ด์„œ ์ค‘์š”ํ•œ ์ ์€" โ†’ "์—ฌ๊ธฐ์„œ ์ค‘์š”ํ•œ ๊ฑด"
  • "~์— ์˜ํ•ด ์ƒ์„ฑ๋œ" โ†’ "~๊ฐ€ ๋งŒ๋“ "
  • "๊ฒฐ๋ก ์ ์œผ๋กœ, ์ด๋Š” ์‹œ์‚ฌํ•˜๋Š” ๋ฐ”๊ฐ€ ํฌ๋‹ค" โ†’ (์‚ญ์ œ)

์ด ํ•˜๋„ค์Šค๋Š” ๊ทธ ํ•œ๊ธ€ ๊ณ ์œ  ํŒจํ„ด์„ SSOT๋กœ ์ •๋ฆฌํ•˜๊ณ , ํƒ์ง€ยท์œค๋ฌธยท๋‚ด์šฉ ๊ฐ์‚ฌยท์ž์—ฐ์Šค๋Ÿฌ์›€ ๊ฒ€์ฆ์„ ๋ถ„๋ฆฌ๋œ ์—์ด์ „ํŠธ๋กœ ์ˆ˜ํ–‰ํ•ฉ๋‹ˆ๋‹ค.

4๋Œ€ ์ฒ ์น™

  1. ์˜๋ฏธ ๋ถˆ๋ณ€ โ€” ์‚ฌ์‹ค ยท ์ฃผ์žฅ ยท ์ˆ˜์น˜ ยท ๊ณ ์œ ๋ช…์‚ฌ ยท ์ง์ ‘ ์ธ์šฉ์€ 100% ์›๋ฌธ ๋ณด์กด.
  2. ๊ทผ๊ฑฐ ๊ธฐ๋ฐ˜ โ€” ํƒ์ง€๋œ span์—๋งŒ ์ˆ˜์ˆ ์  ์ˆ˜์ •. ํƒ์ง€ ์—†๋Š” ๊ตฌ๊ฐ„์€ ๊ฑด๋“œ๋ฆฌ์ง€ ์•Š์Œ.
  3. ์žฅ๋ฅด ์œ ์ง€ โ€” ์นผ๋Ÿผ์„ ๋ฌธํ•™์œผ๋กœ, ๋ฆฌํฌํŠธ๋ฅผ ์—์„ธ์ด๋กœ ์˜ฎ๊ธฐ์ง€ ์•Š์Œ.
  4. ๊ณผ์œค๋ฌธ ๊ธˆ์ง€ โ€” ๋ณ€๊ฒฝ๋ฅ  30% ์ดˆ๊ณผ ์‹œ ๊ฒฝ๊ณ , 50% ์ดˆ๊ณผ ์‹œ ๊ฐ•์ œ ์ค‘๋‹จ.

์•„ํ‚คํ…์ฒ˜ (v1.5)

Fast ๋ชจ๋“œ (๋””ํดํŠธ, 5,000์ž ์ดํ•˜)

์ž…๋ ฅ ํ…์ŠคํŠธ
    โ†“
[humanize-monolith]   โ”€โ”€ ํ•œ ์ฝœ ์•ˆ์—์„œ ํƒ์ง€ โ†’ ์œค๋ฌธ โ†’ ์ž์ฒด๊ฒ€์ฆ ์ผ๊ด„
    โ†“                     (๋„๊ตฌ ํ˜ธ์ถœ 4~5ํšŒ ์บก, opus, ~3๋ถ„)
final.md + summary.md

Strict ๋ชจ๋“œ (--strict ๋˜๋Š” 8,000์ž+ ์ž๋™ ์Šน๊ธ‰)

์ž…๋ ฅ ํ…์ŠคํŠธ
    โ†“
[ai-tell-detector]        โ”€โ”€ ํƒ์ง€ (span ยท category ยท severity)
    โ†“
[korean-style-rewriter]   โ”€โ”€ finding ๊ธฐ๋ฐ˜ ์ˆ˜์ˆ ์  ์œค๋ฌธ
    โ†“
[๋ณ‘๋ ฌ ๊ฒ€์ฆ ํŒ€]
    โ”œโ”€ [content-fidelity-auditor]  โ”€โ”€ 13ํ•ญ ์ฒดํฌ๋ฆฌ์ŠคํŠธ๋กœ ์˜๋ฏธ ๋™๋“ฑ์„ฑ ๊ฐ์‚ฌ
    โ””โ”€ [naturalness-reviewer]      โ”€โ”€ ํƒ์ง€ ์žฌ์‹คํ–‰์œผ๋กœ ์ž”์กดยท๊ณผ์œค๋ฌธ ํŒ์ •
    โ†“
[์˜ค์ผ€์ŠคํŠธ๋ ˆ์ดํ„ฐ ์ข…ํ•ฉ]
    โ”œโ”€ accept              โ†’ final.md + summary.md
    โ”œโ”€ rewrite_round_2     โ†’ 2์ฐจ ์œค๋ฌธ (์ตœ๋Œ€ 3ํšŒ)
    โ”œโ”€ rollback_and_rewrite โ†’ ๋ฌธ์ œ edit ๋กค๋ฐฑ
    โ””โ”€ hold_and_report     โ†’ ์‚ฌ๋žŒ ๊ฒ€ํ†  ๊ถŒ๊ณ 

7์ธ ์—์ด์ „ํŠธ

| ์—์ด์ „ํŠธ | ๋ชจ๋“œ | ์—ญํ•  | |---------|---|------| | humanize-monolith | Fast ๋””ํดํŠธ | ๋‹จ์ผ ํ˜ธ์ถœ ์œค๋ฌธ (ํƒ์ง€ยท์œค๋ฌธยท์ž์ฒด๊ฒ€์ฆ ์ผ๊ด„, ๋„๊ตฌ ํ˜ธ์ถœ 4~5ํšŒ ์บก) | | ai-tell-detector | Strict | span ๋‹จ์œ„ JSON ํƒ์ง€ ๋ฆฌํฌํŠธ ์ƒ์„ฑ | | korean-style-rewriter | Strict | finding ๊ธฐ๋ฐ˜ ์ˆ˜์ˆ ์  ์œค๋ฌธ, ๋ณ€๊ฒฝ๋ฅ  ๋ชจ๋‹ˆํ„ฐ๋ง | | content-fidelity-auditor | Strict | ์˜๋ฏธ ๋™๋“ฑ์„ฑ ๊ฐ์‚ฌ (13ํ•ญ), ํ›ผ์† ์‹œ ๋กค๋ฐฑ ์ง€์‹œ | | naturalness-reviewer | Strict | ์ž”์กด AI ํ‹ฐ ยท ๊ณผ์œค๋ฌธ ยท ์ž์—ฐ๋„ ํŒ์ •, ํ’ˆ์งˆ ๋“ฑ๊ธ‰ A~D | | korean-ai-tell-taxonomist | ๋ณ„๋„ ๋ช…๋ น | ๋ถ„๋ฅ˜ ์ฒด๊ณ„(SSOT) ๊ด€๋ฆฌ, ์‹ ๊ทœ ํŒจํ„ด ์‹ฌ์‚ฌ ์Šน๊ฒฉ | | humanize-web-architect | ์˜ต์…˜ | Next.js 15 + Vercel ์›น ์„œ๋น„์Šค ํ™•์žฅ ์„ค๊ณ„ |

AI ํ‹ฐ ๋ถ„๋ฅ˜ ์ฒด๊ณ„ (์š”์•ฝ)

| ID | ๋Œ€๋ถ„๋ฅ˜ | ๋Œ€ํ‘œ ์„œ๋ธŒ ํŒจํ„ด | |----|-------|---------------| | A | ๋ฒˆ์—ญํˆฌ | "~๋ฅผ ํ†ตํ•ด", "~์— ๋Œ€ํ•ด", "~์— ์žˆ์–ด์„œ", ์ด์ค‘ ํ”ผ๋™ "~๋˜์–ด์ง„๋‹ค", "๊ฐ€์ง€๊ณ  ์žˆ๋‹ค" | | B | ์˜์–ด ์ธ์šฉยท์šฉ์–ด ๊ณผ๋‹ค | ๊ณผ๋„ํ•œ ๊ด„ํ˜ธ ๋ณ‘๊ธฐ, ๋ฒˆ์—ญ ๊ฐ€๋Šฅํ•œ ์˜์–ด ๊ทธ๋Œ€๋กœ | | C | ๊ตฌ์กฐ์  AI ํŒจํ„ด | ๊ธฐ๊ณ„์  "์ฒซ์งธ/๋‘˜์งธ/์…‹์งธ", ๊ณผ๋„ํ•œ ๋ถˆ๋ฆฟยทํ—ค๋”ฉยท์ด๋ชจ์ง€ | | D | AI ํŠน์œ  ๊ด€์šฉ๊ตฌ | "๊ฒฐ๋ก ์ ์œผ๋กœ", "์‹œ์‚ฌํ•˜๋Š” ๋ฐ”๊ฐ€ ํฌ๋‹ค", "์ฃผ๋ชฉํ•  ๋งŒํ•˜๋‹ค", "ํ˜์‹ ์ ์ธ" | | E | ๋ฆฌ๋“ฌ ๊ท ์ผ์„ฑ | ๋ฌธ์žฅ ๊ธธ์ด ํ‘œ์ค€ํŽธ์ฐจ ๋‚ฎ์Œ, ๋™์ผ ์ข…๊ฒฐ์–ด๋ฏธ ๋ฐ˜๋ณต | | F | ์ˆ˜์‹ยท์ค‘๋ณต | "๋งค์šฐ", "์ •๋ง", ๋™์˜์–ด ์ด์ค‘ ์ˆ˜์‹, "~์ /~์„ฑ/~ํ™”" ๋‚จ๋ฐœ | | G | Hedging ๋‚จ์šฉ | "~ํ•  ์ˆ˜ ์žˆ์„ ๊ฒƒ์œผ๋กœ ๋ณด์ธ๋‹ค" ๋‹ค์ค‘ ์™„๊ณก | | H | ์ ‘์†์‚ฌ ๋‚จ๋ฐœ | ๋ฌธ๋‘ "๋˜ํ•œ/๋”ฐ๋ผ์„œ/์ฆ‰/๋‚˜์•„๊ฐ€" ์—ฐ์† | | I | ํ˜•์‹๋ช…์‚ฌ ๊ณผ๋‹ค | "๊ฒƒ์ด๋‹ค", "์ ", "์ˆ˜", "๋ฐ”", "~ํ•  ํ•„์š”๊ฐ€ ์žˆ๋‹ค" | | J | ์‹œ๊ฐ ์žฅ์‹ ๋‚จ์šฉ | ๊ณผ๋„ํ•œ ๋ณผ๋“œ, "๋”ฐ์˜ดํ‘œ", ๋Œ€์‹œ(โ€”) ๋‚จ๋ฐœ |

์ „์ฒด 40+ ์„œ๋ธŒ ํŒจํ„ด๊ณผ ์ฒ˜๋ฐฉ: ai-tell-taxonomy.md ยท rewriting-playbook.md

์‹ฌ๊ฐ๋„ & ํ’ˆ์งˆ ๋“ฑ๊ธ‰

์‹ฌ๊ฐ๋„

  • S1 ๊ฒฐ์ •์ : ํ•œ ๋ฒˆ๋งŒ ๋‚˜์™€๋„ AI ํ™•์‹ . ๋ฌด์กฐ๊ฑด ์ œ๊ฑฐ.
  • S2 ๊ฐ•ํ•จ: 1~2ํšŒ ํ—ˆ์šฉ, 3ํšŒ+ ๋ฐ˜๋ณต ์‹œ ์ œ๊ฑฐ.
  • S3 ์•ฝํ•จ: