universal-mcq-practice-generator

Generate university exam MCQs with explanations and Bloom's level tags.

8|Updated Dec 10, 2025
One-click install
npx skills add https://github.com/pinakdhabu/Exam-prompt --skill universal-mcq-practice-generator
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: universal-mcq-practice-generator
Source: https://github.com/pinakdhabu/Exam-prompt/tree/main/skills/mcq-practice-generator
Command: npx skills add https://github.com/pinakdhabu/Exam-prompt --skill universal-mcq-practice-generator

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps generate custom multiple-choice questions (MCQs) tailored to any university's exam pattern, making exam preparation more effective and targeted.

Core Features & Use Cases

  • Custom MCQ Generation: Create MCQs based on specific subjects, topics, and difficulty levels.
  • Adaptive Difficulty: MCQs are calibrated to match Bloom's level and the target university's exam pattern.
  • Use Case: Generate MCQs for a specific topic in computer science with a focus on "Apply" and "Analyze" Bloom's levels for a university like VTU.

Quick Start

Generate 10 MCQs on algorithms for VTU CSE with medium difficulty.

Frequently Asked Questions about universal-mcq-practice-generator

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate custom MCQs for university exam preparation?

To generate custom MCQs for university exam preparation, provide the subject, topic, difficulty level, and target exam pattern. The system outputs questions with explanations and Bloom's level tags.

Can I adapt MCQ difficulty to match a specific university exam pattern?

Yes, you can adapt MCQ difficulty by specifying the target university exam pattern and desired Bloom's level. The generator calibrates questions to match the requested cognitive complexity.

How does Bloom's level tagging work for generated multiple-choice questions?

Bloom's level tagging classifies each generated multiple-choice question by cognitive complexity, such as Apply or Analyze. This ensures the questions target specific learning objectives required for university exams.

What input is required to create MCQs for a specific subject and topic?

Creating MCQs requires input on subject-specific knowledge, the target topic, desired difficulty, and the university exam format. This information tailors the generated questions to your exact academic requirements.

Are there limitations when generating MCQs for different university exam formats?

The main limitation is the requirement for accurate input regarding subject-specific knowledge and university exam formats. Without correct pattern details, the generated MCQs may not align with the target exam structure.