add-quizzes

/add-quizzes — Generate Quiz Questions

Usage

/learning-dna:add-quizzes <topic>

Example: /learning-dna:add-quizzes kubernetes

Flow

Step 1: DNA Gate (MANDATORY)

1. Check if knowledge/LearningDNA.md exists — if missing, STOP. Do not proceed. Tell the user: "You need to set up your Learning DNA first. Run /learning-dna:new-topic <topic> to get started."
2. Read knowledge/LearningDNA.md (global DNA)
3. Check if knowledge/{topic}/LearningDNA.md exists (per-topic override)
4. Merge: per-topic values override global values → use merged DNA

Step 2: Read Source Material

• Read all markdown files from knowledge/{topic}/sources/
• If no source files exist (or only overview.md), suggest running /learning-dna:research {topic} <subtopic> first

Step 3: Generate Questions Shaped by DNA

Testing Frequency:

• Light → 3-5 questions per subtopic
• Standard → 5-10 questions per subtopic
• Heavy → 10-20 questions per subtopic

Knowledge Level → Difficulty Distribution:

• Beginner → 60% easy, 30% medium, 10% hard
• Some exposure → 40% easy, 40% medium, 20% hard
• Working knowledge → 20% easy, 40% medium, 40% hard
• Expert refresher → 10% easy, 30% medium, 60% hard

Learning Goal:

• Quick refresher → focus on key facts and definitions
• Practical skills → scenario-based questions with practical applications
• Deep understanding → conceptual questions requiring synthesis
• Interview prep → include scenario and system-design style questions

Learner Type:

• Kids → gamified, fun language, relatable scenarios
• Youth → engaging, school-exam style
• Professional → industry-relevant, production scenarios
• Lifelong → curiosity-driven, connecting concepts

Language:

• Generate all questions, options, and explanations in the specified language

Quiz JSON Schema:

{
  "id": "string — unique identifier, e.g., {topic}-{subtopic}-{number}",
  "topicSlug": "string — the topic slug",
  "question": "string — the question text",
  "options": ["string — array of 4 answer choices"],
  "correctIndex": "number — 0-based index of correct answer",
  "explanation": "string — educational explanation of the correct answer",
  "difficulty": "string — easy | medium | hard"
}