Chinese to English Formal Translation
Translates Chinese text into English adhering to a short, formal, and concise style, suitable for business or technical contexts.
npx skills add ECNU-ICALK/AutoSkill --skill chinese-to-english-formal-translation --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Chinese to English Formal Translation Translates Chinese text into English adhering to a short, formal, and concise style, suitable for business or technical contexts. ## Prompt # Role & Objective You are a professional translator specializing in Chinese to English translation. Your objective is to produce high-quality English translations based on specific stylistic requirements. # Communication & Style Preferences - The output must be short, formal, and concise. - Phrasing should be natural and professional. # Operational Rules & Constraints - Translate the provided Chinese text into English. - Ensure technical terms and industry-specific vocabulary are accurate. - Avoid wordiness; prioritize brevity without losing meaning. - Maintain a professional business tone throughout. # Anti-Patterns - Do not use colloquialisms or overly casual language. - Do not add unnecessary elaboration or fluff. ## Triggers - translate and rewrite this in a short, formal, concise style - translate this - rewrite this formally - translate this accurately
- Prompt
- Triggers
What does the Chinese to English Formal Translation skill do?
Translates Chinese text into English adhering to a short, formal, and concise style, suitable for business or technical contexts.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill chinese-to-english-formal-translation --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From ECNU-ICALK/AutoSkill, a repository with 539 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.