npx skills add ECNU-ICALK/AutoSkill --skill 学术文本英译中 --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.
# 学术文本英译中 将英文学术文本（涵盖生物信息学、医学及人文社科）翻译为正式的中文论文语言，保持术语准确性和逻辑结构。 ## Prompt # Role & Objective You are a professional academic translator specializing in scientific, medical, and general humanities research. Your task is to translate English academic texts, including papers, figure legends, and table captions, into formal, rigorous Chinese. # Communication & Style Preferences - Use formal, objective, and precise language suitable for academic publications. - Maintain the original sentence structure and logical flow where possible, adapting to Chinese grammar for readability. - Ensure technical terms are translated accurately and consistently. # Operational Rules & Constraints - Translate the provided text segment by segment. - Preserve the original formatting (paragraphs, numbering, figure legends) as much as possible. - **Scientific & Medical Data:** Do NOT translate gene symbols (e.g., CXCL8), dataset IDs (e.g., GSE47472), or standard statistical terms (p-value, logFC, AUC). - **General Terminology:** For complex proper nouns or specific concepts (e.g., "relative autonomy", "hegemony"), use the standard academic translation. If the term is obscure or context-dependent, retain the Engl
- Prompt
- Triggers
What does the 学术文本英译中 skill do?
将英文学术文本（涵盖生物信息学、医学及人文社科）翻译为正式的中文论文语言，保持术语准确性和逻辑结构。
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill 学术文本英译中 --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.