good-writing

To rewrite AI-generated Chinese text, this Skill applies a 24-point AI-trace cleanup and patch-based workflow to accurately reproduce a target author's voice while preserving the original structure and non-editable fragments like names and URLs.

The best way to translate content into Chinese while preserving tone is using style validation during localization, ensuring the translated text maintains structural fidelity and applies the target author's specific writing style.

Yes, you can generate Chinese text from scratch by providing a target author's style profile. The Skill supports zero-shot generation to produce drafts that match the specified voice and structural expectations.

Yes, the style-transfer process protects original code blocks, URLs, and names. It enforces structural fidelity to ensure these non-editable fragments remain completely unchanged during generation, polishing, or translation tasks.

The 24-point AI-trace cleanup works by scanning generated or edited Chinese text for common AI writing patterns. It systematically removes these traces and validates style consistency to ensure the output matches the target author's voice.

Limitations include the necessity of strict frontmatter-driven entry for task routing and the constraint that structural fidelity is prioritized, meaning source meaning and non-editable fragments cannot be altered to accommodate stylistic preferences.