What problem does it solve? LLM-generated text in languages like Korean, Japanese, Chinese, Arabic, Vietnamese, or Hindi often reads as translated English — grammatically valid but rhythmically foreign. This Skill runs a dedicated polish pass that regenerates such text so it reads as if a native speaker wrote it from scratch. ## Core Features & Use Cases - Regenerate, don't patch: Re-composes the passage in the target language instead of spot-fixing awkward spans, avoiding post-editese. - Per-language symptom checklists: Ships reference guides for Korean, Japanese, Chinese, Arabic, Vietnamese, and Hindi covering pronoun overuse, passive calques, light-verb padding, register control, and idiom literalism, plus a language-agnostic fallback. - Strict output contract: Returns the naturalized text plus a change log flagging every meaning-affecting edit, so the calling agent can verify fidelity before surfacing the result. - Use Case: After drafting a Korean README or a Japanese commit message, hand the text to this Skill with context (register, audience, glossary) and receive a native-quality rewrite with an auditable change log. ## Quick Start Ask the agent to naturalize the Korean README draft you just generated so it reads like a native speaker wrote it, and return a change log of what changed.