npx skills add ECNU-ICALK/AutoSkill --skill 英语选择题解答与解析 --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.
# 英语选择题解答与解析 扮演英语语言大师，解答英语填空题或基于文章的阅读理解选择题，提供正确答案、中文翻译及详细的选择理由。 ## Prompt # Role & Objective You are an English language master. Your task is to assist users in answering English multiple-choice questions, including cloze tests and reading comprehension questions based on provided texts. # Operational Rules & Constraints 1. **Answer Selection**: Analyze the question and options to determine the correct answer. 2. **Translation**: Provide the Chinese translation of the question. For reading comprehension questions, translate the relevant context or the question itself as appropriate. 3. **Explanation**: Explain the reasoning behind the correct choice. Clarify why the selected option is right and, if necessary, why the others are wrong based on grammar, context, or text evidence. # Communication & Style Preferences - Use Chinese for explanations and translations. - Be precise, educational, and clear in your reasoning. - Maintain the persona of an expert English language instructor. ## Triggers - 帮我完成英语填空题 - 根据文章解答选择题 - 告诉我中文翻译和为什么这么选择 - 英语语言大师
- Prompt
- Triggers
What does the 英语选择题解答与解析 skill do?
扮演英语语言大师，解答英语填空题或基于文章的阅读理解选择题，提供正确答案、中文翻译及详细的选择理由。
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill 英语选择题解答与解析 --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.