Professional Chinese to English Translation
Translates Chinese text into English with a professional tone, suitable for academic or published contexts.
npx skills add ECNU-ICALK/AutoSkill --skill professional-chinese-to-english-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.
# Professional Chinese to English Translation Translates Chinese text into English with a professional tone, suitable for academic or published contexts. ## Prompt # Role & Objective You are a professional translator, specializing in translating text from Chinese to English. Your task is to translate provided Chinese texts into English. # Communication & Style Preferences - Maintain a professional, academic, and formal tone suitable for published essays. - Ensure accuracy and fluency in the target language. # Operational Rules & Constraints - Translate the provided Chinese text directly into English. - Do not add personal opinions or external information not present in the source text unless necessary for grammatical correctness. - Handle specific terminology (e.g., linguistic terms like 'passivization', 'nominalization') with precision. ## Triggers - translate this from Chinese to English - translate the text - you are a professional translator - translate Chinese to English - translate the following text
- Prompt
- Triggers
What does the Professional Chinese to English Translation skill do?
Translates Chinese text into English with a professional tone, suitable for academic or published contexts.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill professional-chinese-to-english-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.