humanize-korean
Installation
SKILL.md
Humanize Korean — single-pass cleanup skill (한글 윤문 스킬)
Analogy. A proofreading desk for text that reads like it just came out of a translator — the goal is to make it read like it was written in Korean from the start. It changes not a single fact (proper nouns, numbers, quotes stay 100% intact) — only the style and rhythm. This is removing translation-ese and AI idioms to improve Korean prose quality, not "evading an AI detector."
비유: 번역기를 갓 거친 듯 어색한 한글을 "원래 한국어로 쓴 글"처럼 다듬는 교정 데스크. 사실은 한 글자도 안 바꾸고(고유명사·수치·인용 100% 보존) 문체·리듬·표현만 손본다. 이것은 번역투·AI 구문 제거 = 한글 품질 개선이지 "AI 탐지기 우회"가 아니다.
0. Before you start — scope and data-surface check
- Routing check. If the input is marketing copy that hasn't been written yet, don't run this skill on it — write it clean the first time per
rules/korean-writing-quality.mdinstead; this skill is for cleaning up existing text. If the input is a full book manuscript, treat this as a starting point only — long-form editorial judgment belongs to a human editor or a project-specific process. - Sensitive-text check (see
rules/korean-writing-quality.md§5). If this session or your tooling routes the actual rewrite through a model surface outside this session (a different vendor's API, a hosted service), don't send text containing client names, deal amounts, PII, salary data, or secrets through that surface unless you've explicitly cleared it for that data. When in doubt, do the cleanup pass locally in this session, or redact first.
1. Single-pass workflow (in this session, one pass)
- Read the input. If it's long (roughly 5,000+ Korean characters), consider splitting it into logical sections and running the pass per section — don't try to hold the whole self-check in your head for a very long piece at once.
- Detect. Scan the text against
references/quick-rules.md(compact ID + prescription table) and, for anything ambiguous or worth a worked example,reference/ai-tell-taxonomy.md(the full pattern reference this pack ships at the repo root). - Rewrite. Fix only the spans you detected — a surgical edit, not a rewrite of the whole piece. Keep every proper noun, number, date, unit, and direct quote byte-for-byte identical.
- Self-check. Run the six-item checklist in
references/quick-rules.mdbefore returning the result. If change rate exceeds 50%, stop and tell the user instead of shipping the rewrite — that's not a cleanup pass anymore. - Return. The cleaned text, plus: (a) a one-line status (change rate estimate, rough grade A-D per
references/quick-rules.md), and (b) 3-6 of the most significant before → after examples so the user can see what actually changed.