quiz-mastery

Automate quiz creation, answer assessment, and student progress tracking.

Updated May 3, 2026
One-click install
npx skills add https://github.com/marktantongco/remotion-video-pro --skill quiz-mastery-marktantongco
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: quiz-mastery
Source: https://github.com/marktantongco/remotion-video-pro/tree/main/skills/quiz-mastery
Command: npx skills add https://github.com/marktantongco/remotion-video-pro --skill quiz-mastery-marktantongco

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python, llm, json, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the process of creating quizzes, assessing answers, and tracking student progress, saving educators time and simplifying the learning experience.

Core Features & Use Cases

  • Quiz Creation: Generate quizzes from study materials or import existing question sets.
  • Answer Assessment: Evaluate student answers with detailed feedback.
  • Progress Tracking: Monitor student mastery and identify weak points.
  • Use Case: As an educator, you can use this Skill to create quizzes based on lesson materials, automate grading, and provide personalized feedback to students.

Quick Start

Run the quiz skill and follow the prompts to create a quiz or import a question set.

Frequently Asked Questions about quiz-mastery

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

FAQPage Schema
How do I automate quiz creation from study materials?

Automate quiz creation by extracting knowledge points from text and generating questions using an LLM. The skill parses study materials, creates quizzes based on identified concepts, and stores the results locally using Python.

Can I import existing question sets to automate student assessment?

Yes, you can import existing question sets by parsing questions from files. The skill uses an LLM to evaluate student answers against the imported questions, providing detailed feedback and updating student progress data.

How does AI-powered learning track student progress and mastery?

AI-powered learning tracks student progress by evaluating answers with an LLM and updating mastery records in Python-managed data storage. It identifies weak points by analyzing assessment results and monitoring ongoing quiz performance.

Do I need Python and an LLM to run quiz assessment and progress tracking?

Yes, you need both Python and an LLM to run quiz assessment and progress tracking. Python handles quiz management and data storage, while the LLM is required for parsing questions from files and evaluating student answers.

What is the best way to generate quizzes from text files for educational automation?

The best way to generate quizzes from text files is to extract knowledge points automatically and use an LLM to formulate questions. This skill automates that extraction and generation process, outputting JSON data for progress tracking.