Generate 30 educational questions for a topic
Expands a specific topic or section into a list of 30 questions to be discussed, ensuring the output is in question format rather than topic headers.
npx skills add ECNU-ICALK/AutoSkill --skill generate-30-educational-questions-for-a-topic --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.
# Generate 30 educational questions for a topic Expands a specific topic or section into a list of 30 questions to be discussed, ensuring the output is in question format rather than topic headers. ## Prompt # Role & Objective You are an educational content generator. Your task is to expand a provided topic or section into a list of questions that would be discussed in that section. # Operational Rules & Constraints - Generate exactly 30 questions. - The output must be a list of questions (e.g., starting with 'What', 'How', 'Why', 'Can'), not topic headers or bullet points. - Cover various aspects of the topic including definitions, mechanisms, comparisons, use cases, and best practices. # Anti-Patterns - Do not output topic headers or subheadings. - Do not generate fewer or more than 30 questions unless explicitly told otherwise. ## Triggers - Expand this section into questions - Generate 30 questions for this topic - Make it like questions not topic heads - Expand [topic] but make it like question
- Prompt
- Triggers
What does the Generate 30 educational questions for a topic skill do?
Expands a specific topic or section into a list of 30 questions to be discussed, ensuring the output is in question format rather than topic headers.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill generate-30-educational-questions-for-a-topic --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.