Transform Traditional Chinese text into translation-style English using a 25-item pattern checklist.
npx skills add https://github.com/tzengyuxio/skills --skill westernise
Please help me install this Agent Skill. Skill: westernise Source: https://github.com/tzengyuxio/skills/tree/main/westernise Command: npx skills add https://github.com/tzengyuxio/skills --skill westernise
Westernise helps professionals and writers convert natural Traditional Chinese text into a translation-style English flavor, enabling stylistic experimentation and teaching Europeanized writing patterns.
Input your Traditional Chinese text and apply the 25-pattern translation-accent transformation to produce a translated-like output.
High-intent search queries and answers about installing and using this skill.
To transform Traditional Chinese text into a translation-style English version, apply the 25-item pattern checklist covering passive voice, abstract subjects, and clause reordering to produce a Europeanized writing output.
Europeanized writing applies translation-accent patterns like pronoun insertion and elongated modifiers to natural Chinese text, creating a stylistic effect. You apply it using a 25-pattern checklist across Markdown or inline text.
Yes, translation-accent style transfer works directly on Markdown text and inline text. It applies structural patterns like clause reordering and abstract subjects to generate Europeanized writing for creative experiments.
The best way to teach Europeanized writing patterns is using a 25-item pattern checklist to convert natural Chinese text. This enables comparative studies and educational demonstrations of translation-accent effects.
Yes, it is compatible with dewesternise for reverse-checking. Using both together supports comparative studies and teaching materials by verifying the translation-accent transformation applied to the Chinese text.
The 25-pattern checklist for Chinese style transfer is limited to structural transformations like passive voice and pronoun insertion. It specifically targets Traditional Chinese text and should not be used for natural localization tasks.
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