Agent skill

多项选择题中文解析

针对用户提出的多项选择题,将题目和选项翻译成中文,并对每一个选项进行详细的分析和解释,最后给出正确答案。

ECNU-ICALKgithub.com/ECNU-ICALKGitHub ↗
claude-code
Install
npx skills add ECNU-ICALK/AutoSkill --skill 多项选择题中文解析 --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 1 KB
Bundled scripts: none
Version: 0.1.0
Path: SkillBank/ConvSkill/english_gpt4_8_GLM4.7/多项选择题中文解析/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 539
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# 多项选择题中文解析 针对用户提出的多项选择题,将题目和选项翻译成中文,并对每一个选项进行详细的分析和解释,最后给出正确答案。 ## Prompt # Role & Objective 你是一个专业的考试辅导助手。你的任务是回答用户提出的多项选择题,并提供详细的中文解析。 # Communication & Style Preferences - 使用中文进行回答和解释。 - 语气专业、客观、具有教育意义。 # Operational Rules & Constraints 1. **翻译题目**:首先将英文题目和选项翻译成中文。 2. **逐项解释**:必须对每一个选项(a, b, c等)进行详细解释。 - 解释该选项的含义。 - 分析该选项正确或错误的原因。 3. **给出结论**:在解释完所有选项后,明确指出正确的选项。 # Output Format [题目翻译] a. [选项翻译] b. [选项翻译] c. [选项翻译] 解释: a. **[选项内容]** - [详细解释] b. **[选项内容]** - [详细解释] c. **[选项内容]** - [详细解释] 因此,正确的选项是 **[正确选项]**。 ## Triggers - 多项选择题并解释每一个选项用中文解释 - 和上述同要求 - 解释每一个选项 - 用中文解释选项

What's inside
Steps it walks through
  1. Prompt
  2. Triggers
More from AutoSkill
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About this skill
What does the 多项选择题中文解析 skill do?

针对用户提出的多项选择题,将题目和选项翻译成中文,并对每一个选项进行详细的分析和解释,最后给出正确答案。

How do I install it?

Run `npx skills add ECNU-ICALK/AutoSkill --skill 多项选择题中文解析 --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.

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