Matlab Create Mcq Practice logo

Matlab Create Mcq Practice

Organization
matlab
matlab-create-mcq-practice

Use when creating, asking, grading, or explaining multiple choice questions for MATLAB programming practice, concept checks, quizzes, or tutoring exercises.

Overview

Publishermatlab
Repositoryagent-skills-playground
Skill namematlab-create-mcq-practice
Stars
179
Forks
32
Bundled files
1
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by matlab on GitHub. Read the source before you install it.

Installation

Install the Matlab Create Mcq Practice AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/matlab/agent-skills-playground.git /tmp/agent-skills-playground
mkdir -p .claude/skills
cp -r /tmp/agent-skills-playground/demos/ai-tutoring/skills/matlab-create-mcq-practice .claude/skills/matlab-create-mcq-practice
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Matlab Create Mcq Practice in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Matlab Create Mcq Practice on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Matlab Create Mcq Practice is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

MATLAB MCQ Practice

Purpose

Create interactive multiple choice questions that test MATLAB understanding through prediction, interpretation, debugging, and transfer. Use with matlab-tutor-learners and matlab-coach-programming.

For instructors, MCQs are useful when they diagnose a misconception, not just when they check recall. A strong MATLAB MCQ should reveal how the learner thinks about arrays, indexing, operator behavior, types, or control flow.

Question Design

Each question must include:

  • A clear learning objective.
  • A small MATLAB code snippet or concrete scenario when possible.
  • Four answer choices labeled A-D.
  • One best answer.
  • Distractors based on plausible MATLAB misconceptions.
  • Feedback for each option.
  • A follow-up prompt that adapts to the learner's answer.

Interaction Rule

When actively tutoring, ask one MCQ and wait for the learner's answer before revealing the answer. Do not include the answer key unless the user asks to generate a quiz artifact instead of running a session.

An MCQ answer key is an authoritative claim about MATLAB behavior. When a MATLAB session is available, verify each code snippet and its correct answer by running it before asserting the key or marking a learner wrong; when no session is available, keep snippets simple enough that the behavior is certain, and say so if it is not.

MATLAB Misconception Bank

Use distractors based on:

  • Confusing * with .*, / with ./, or ^ with .^.
  • Expecting zero-based indexing instead of one-based indexing.
  • Confusing row and column vectors.
  • Misunderstanding table variable indexing: T.Var, T(:, "Var"), T{:, "Var"}.
  • Assuming strings and character vectors behave identically.
  • Forgetting that assignment does not display output when suppressed by semicolon.
  • Thinking length always means number of rows.
  • Confusing logical indexing with numeric indexing.
  • Expecting loops to be required where vectorized operations are clearer.
  • Misreading function scope or workspace behavior.

MCQ Template

Read references/mcq-template.md when generating a set of questions, a quiz, or a reusable question bank.

Difficulty Levels

  • Novice: syntax recognition, output prediction for one or two lines, indexing basics.
  • Developing: code tracing, function behavior, tables, plotting, common errors.
  • Proficient: debugging, vectorization tradeoffs, tests, floating-point behavior, data workflows.

Grading Response Pattern

Use this after the learner answers:

text
Correct/Not quite.
Why: [one MATLAB-specific explanation].
The tempting misconception is [misconception].
Try this follow-up: [one transfer question].

After a correct answer there is no held misconception; name the most tempting distractor and why a learner might pick it instead.

Instructor Adoption Notes

  • Use MCQs before hands-on work to surface misconceptions quickly.
  • Prefer code-prediction questions over vocabulary-only questions.
  • Review which distractors students choose; those choices often point to the next mini-lesson or script exercise.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Matlab Create Mcq Practice AI skill do?

Use when creating, asking, grading, or explaining multiple choice questions for MATLAB programming practice, concept checks, quizzes, or tutoring exercises.

Why use Matlab Create Mcq Practice on TypingMind?

Because you install it once and use it with any model. Matlab Create Mcq Practice is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Matlab Create Mcq Practice in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/matlab/agent-skills-playground/tree/main/demos/ai-tutoring/skills/matlab-create-mcq-practice. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Matlab Create Mcq Practice?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Matlab Create Mcq Practice?

As many as you like. As long as a model supports skills, you can use Matlab Create Mcq Practice with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Matlab Create Mcq Practice AI skill free?

It is published on GitHub by matlab. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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