quiz-questions

To generate validated AI quiz questions, provide a target topic and the skill outputs a batch of topic-focused questions while enforcing a strict QA loop for format and length constraints. It applies difficulty rules and topic scheduling to ensure balanced coverage for exams or study guides.

AI question deduplication works by validating generated responses against previously created questions to prevent repetition. The skill enforces this validation loop alongside length and required field checks, ensuring each question in the batch remains unique and meets structural constraints.

Yes, you can control difficulty levels when generating study guide questions through a built-in DIFFICULTY_GUIDE. This mechanism enforces structured difficulty levels across generated questions, ensuring balanced coverage and appropriate challenge scaling for training curricula.

The best way to distribute quiz questions across multiple topics is using topic scheduling. This feature builds an even distribution of questions across your defined domains, maximizing topic coverage per generation round while maintaining validation and deduplication standards.

Manual validation is not required because the skill enforces a robust automated QA loop. It validates AI responses against required fields and length constraints during generation, ensuring all output questions meet the specified format rules before completing the batch.

AI generated quiz questions lack balanced topic coverage when topic scheduling is not applied. This skill solves that by building an even distribution across domains and enforcing a strict QA loop, ensuring questions meet format, difficulty, and length requirements.