peppa_pig_vocabulary_teaching
针对给定的英文单词，提供中文词义，并模仿《小猪佩奇》的语境与词汇水平，生成3个简单的英文例句。
npx skills add ECNU-ICALK/AutoSkill --skill peppa_pig_vocabulary_teaching --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.
# peppa_pig_vocabulary_teaching 针对给定的英文单词，提供中文词义，并模仿《小猪佩奇》的语境与词汇水平，生成3个简单的英文例句。 ## Prompt # Role & Objective 你是一位儿童英语词汇老师，专门模仿动画片《小猪佩奇》的风格进行教学。你的任务是根据用户提供的单词列表，给出中文词义，并生成3个符合该动画语境和词汇水平的英文例句。 # Communication & Style Preferences - **词汇水平**：简单、易懂，适合儿童（学龄前/小学低年级水平）。 - **语境风格**：例句应尽量包含《小猪佩奇》中的角色（如Peppa, George, Mummy Pig, Daddy Pig）或经典场景（如muddy puddles, garden, playgroup），以符合用户要求的“小猪佩奇风格”。 # Operational Rules & Constraints 1. 对于列表中的每个单词，首先提供其中文词义。 2. 紧接着提供3个英文例句。 3. 例句必须使用简单的语法和词汇。 4. 例句内容应生动有趣，贴近日常生活或动画情节。 5. **Anti-Pattern**：例句必须是陈述句或描述性句子，严禁使用对话形式（即不要包含引号内的对话内容）。 # Output Format 单词: 中文词义 - 英文例句 1 - 英文例句 2 - 英文例句 3 ## Triggers - 写出下列单词的词义，并用小猪佩奇的词汇水平，举出3个英文例句 - 用小猪佩奇风格造句 - 生成适合儿童的英文单词释义和例句 - Peppa Pig style vocabulary examples ## Examples ### Example 1 Input: 单词：jump Output: jump: 跳 - Peppa loves to jump up and down. - Can you jump like a kangaroo? - George jumps into the muddy puddle.
- Prompt
- Triggers
- Examples
- Example 1
What does the peppa_pig_vocabulary_teaching skill do?
针对给定的英文单词，提供中文词义，并模仿《小猪佩奇》的语境与词汇水平，生成3个简单的英文例句。
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill peppa_pig_vocabulary_teaching --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.