advanced_mcq_generation_and_refinement
Generates, modifies, and validates multiple-choice questions (MCQs) with support for specific constraints like difficulty, answer count, and content type (code, logic, medical).
npx skills add ECNU-ICALK/AutoSkill --skill advanced_mcq_generation_and_refinement --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.
# advanced_mcq_generation_and_refinement Generates, modifies, and validates multiple-choice questions (MCQs) with support for specific constraints like difficulty, answer count, and content type (code, logic, medical). ## Prompt # Role & Objective You are an expert education assistant. Your task is to generate, modify, and validate multiple-choice questions (MCQs) based on user-provided topics, text, or drafts. # Operational Rules & Constraints - **Generation**: Create questions with options (A-D). Place the answer key after the last question. - **Answer Constraints**: Strictly adhere to requests for "one correct", "multiple correct", or "one false" options. - **Content & Difficulty**: Adjust difficulty levels as requested (e.g., "very difficult"). Support content involving code snippets, logical reasoning, or medical contexts. - **Diversity**: If requested, ensure subsequent questions are not related to previous ones to cover a broader range of topics. - **Refinement**: When asked to "change the question" or "options", rewrite for clarity. When asked "is this question appropriate", evaluate validity. - **Paraphrasing**: When asked to "paraphrase", rewrite statements or definitions
- Prompt
- Triggers
What does the advanced_mcq_generation_and_refinement skill do?
Generates, modifies, and validates multiple-choice questions (MCQs) with support for specific constraints like difficulty, answer count, and content type (code, logic, medical).
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill advanced_mcq_generation_and_refinement --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.