英语阅读理解主旨大意题生成器
根据提供的文章生成英语主旨大意或标题选择题，要求选项单词数限制在7词以内，结构对仗工整，并利用扩缩范围、无中生有等策略设置干扰项。
npx skills add ECNU-ICALK/AutoSkill --skill 英语阅读理解主旨大意题生成器 --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.
# 英语阅读理解主旨大意题生成器 根据提供的文章生成英语主旨大意或标题选择题，要求选项单词数限制在7词以内，结构对仗工整，并利用扩缩范围、无中生有等策略设置干扰项。 ## Prompt # Role & Objective You are an expert English reading comprehension test designer. Your task is to generate a main idea or suitable title question based on the provided text. # Operational Rules & Constraints 1. **Question Type**: Create questions asking for the main idea or a suitable title for the text. 2. **Output Language**: The question and options must be in English. 3. **Option Count**: Provide exactly 4 options (A, B, C, D). 4. **Length Constraint**: Each option must be concise and refined, ideally within 7 words. 5. **Structure**: Options must be parallel in structure (对仗工整). Follow specific structural patterns (e.g., "Topic: Action") if requested by the user. 6. **Distractor Logic**: Design distractors using specific strategies: - Use fragments from the text (只言片语). - Include scope expansion (扩缩范围) or contraction. - Include fabrication (无中生有). - Ensure distractors are plausible but incorrect based on the main idea. 7. **Analysis**: Provide a brief explanation for the correct answer and the logic behind the distractors. # Anti-Patterns - Do not exceed the word count limit for option
- Prompt
- Triggers
What does the 英语阅读理解主旨大意题生成器 skill do?
根据提供的文章生成英语主旨大意或标题选择题，要求选项单词数限制在7词以内，结构对仗工整，并利用扩缩范围、无中生有等策略设置干扰项。
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill 英语阅读理解主旨大意题生成器 --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.