Agent skill
quiz-generator
Generate 50-question interactive quizzes using the Quiz component with randomized batching. Use when creating end-of-chapter assessments. Displays 15-20 questions per session with immediate feedback. NOT for static markdown quizzes.
Install this agent skill to your Project
npx add-skill https://github.com/aiskillstore/marketplace/tree/main/skills/92bilal26/quiz-generator
SKILL.md
Quiz Generator
Quick Start
# 1. Generate 50 questions for chapter
# Focus on conceptual (75%+ Apply level), not recall
# 2. Redistribute answers evenly
python scripts/redistribute_answers_v2.py quiz.md A
# 3. Validate option lengths (±3 words per question)
# Manually count words for ALL 50 questions
Persona
You generate college-level conceptual quizzes that test understanding, not memorization. Your goal is 50 comprehensive questions covering all chapter concepts with immediate feedback per answer.
Fixed Constraints
question_count: 50 # Comprehensive bank
questions_per_batch: 15-20 # Displayed per session
options_per_question: 4 # Always exactly 4
correct_answer_distribution: ~12-13 per index (0-3)
feedback_timing: immediate # After each answer
passing_score: NONE # No threshold
file_naming: ##_chapter_##_quiz.md
Analysis Questions
1. Is this conceptual (not recall)?
| Type | Example | Valid? |
|---|---|---|
| Recall | "What is a Python list?" | ❌ |
| Conceptual | "Which operation reveals a mutability issue?" | ✅ |
Target: 75%+ at Apply level or higher
2. Are options equal length (±3 words)?
| Options | Words | Valid? |
|---|---|---|
| A: "Yes" / B: "It processes async" | 2 vs 4 | ✅ |
| A: "Yes" / B: "The framework processes requests asynchronously" | 2 vs 6 | ❌ |
Rule: ALL options within ±3 words to prevent pattern-guessing
3. Are answers evenly distributed?
| Index | Count | Valid? |
|---|---|---|
| 0 | 12-13 | ✅ |
| 1 | 12-13 | ✅ |
| 2 | 12-13 | ✅ |
| 3 | 12-13 | ✅ |
Rule: No 3+ consecutive same index, no obvious patterns
Principles
Principle 1: 50 Questions Required
- Comprehensive coverage (all chapter concepts)
- Spaced repetition (different questions each retake)
- Component shuffles and displays 15-20 per session
Principle 2: Immediate Feedback
Show after EACH answer (not at end):
- ✅ Correct option highlighted (green)
- ❌ Why wrong (if incorrect)
- Explanation (100-150 words)
Principle 3: Address All Options
Every explanation must cover:
- Why correct is correct (2-3 sentences)
- Why each distractor is wrong (1-2 sentences × 3)
- Real-world connection (1-2 sentences)
Principle 4: Source Attribution
source: "Lesson 1: Understanding Mutability"
Links each question to specific lesson for review.
Quiz Component Format
---
sidebar_position: 5
title: "Chapter X: [Topic] Quiz"
---
# Chapter X Quiz
Brief intro (1-2 sentences).
<Quiz
title="Chapter X Assessment"
questions={[
{
question: "Conceptual question here?",
options: [
"Option A (4-6 words)",
"Option B (4-6 words)",
"Option C (4-6 words) ← CORRECT",
"Option D (4-6 words)"
],
correctOption: 2, // Index 0-3, NOT 1-4!
explanation: "Why C is correct (2-3 sentences). Why A is wrong (1-2 sentences). Why B is wrong. Why D is wrong. Real-world connection.",
source: "Lesson 1: Topic Title"
},
// ... 49 more questions (total: 50)
]}
questionsPerBatch={18}
/>
Answer Redistribution
LLMs struggle with even distribution. Use the script after generation:
python scripts/redistribute_answers_v2.py quiz.md A
Sequences A-H provide different distributions (~12-13 per index).
What it does:
- Parses quiz questions
- Swaps option positions to match sequence
- Updates explanations to reference new positions
- Validates all explanations match correct answers
Option Length Validation (CRITICAL)
Problem: Unequal lengths let students guess by picking longest/shortest.
Solution: Manually count words for EVERY option in EVERY question.
✅ PASS: 4, 5, 4, 5 words (all within ±3)
❌ FAIL: 2, 4, 11, 3 words (2 to 11 = 9-word spread)
Also verify:
- Longest option correct in ~25% (not biased)
- Shortest option correct in ~25% (not biased)
Common Pitfalls
| Pitfall | Wrong | Right |
|---|---|---|
| Question count | <50 questions | Exactly 50 |
| Index values | correctOption: 4 |
correctOption: 3 (0-3) |
| Missing source | No source field | source: "Lesson N: Title" |
| Passing score | passingScore={70} |
No prop (removed) |
| Recall questions | "What is X?" | "Which reveals X issue?" |
| Weak explanations | Only explains correct | Addresses all 4 options |
| Answer patterns | 0,1,2,3,0,1,2,3... | Random, ~12-13 per index |
| Option lengths | 2 vs 11 words | All within ±3 words |
File Naming
Pattern: ##_chapter_##_quiz.md
| Chapter | Lessons | Filename |
|---|---|---|
| 2 | 4 | 05_chapter_02_quiz.md |
| 5 | 6 | 07_chapter_05_quiz.md |
| 14 | 5 | 06_chapter_14_quiz.md |
Handoff Checklist
Content:
- 50 questions (not fewer)
- 75%+ Apply level or higher
- All major topics covered
- No recall questions
Distribution:
- correctOption uses 0-3 (not 1-4)
- ~12-13 per index
- No 3+ consecutive same index
Option Lengths:
- ALL options counted (all 50 questions)
- ALL within ±3 words
- Longest not biased toward correct
- Shortest not biased toward correct
Explanations:
- 100-150 words each
- Explains why correct
- Addresses each distractor
- Real-world connection
Format:
- Valid JSX syntax
- Exactly 4 options per question
-
sourcefield on all 50 - NO
passingScoreprop - File named correctly
If Verification Fails
- Run redistribution script:
python scripts/redistribute_answers_v2.py quiz.md A - Re-count option lengths manually
- Check explanation references match correctOption
- Stop and report if issues persist after 2 attempts
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