Matlab Plan Tutor Adoption

Organization

matlab

matlab-plan-tutor-adoption

Use when an instructor asks for a MATLAB AI tutor setup guide, adoption guide, pilot plan, course-specific rollout, or recommended tutor configuration based on a learning objective, course title, course description, module description, or lab description.

Overview

Publisher	matlab
Repository	`agent-skills-playground`
Skill name	`matlab-plan-tutor-adoption`
Stars	179
Forks	32
Bundled files	2
Links	Skill source Repository Homepage

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.
2 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 Plan Tutor Adoption AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/matlab/agent-skills-playground/tree/main/demos/ai-tutoring/skills/matlab-plan-tutor-adoption

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

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-plan-tutor-adoption .claude/skills/matlab-plan-tutor-adoption

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Matlab Plan Tutor Adoption 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 Plan Tutor Adoption 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 Plan Tutor Adoption 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 AI Tutor Instructor Setup Guide

Purpose

Generate a short instructor-facing setup guide that fits the provided learning objective, course title, course description, module description, or lab description.

Treat the user's provided objective or course description as the guide input. If the input is missing, ask for one sentence describing the course, module, or learning objective before generating the guide.

Input Handling

Use the input argument to infer the best-fit teaching context:

introductory MATLAB programming course;
engineering computation course;
data analysis lab;
graded homework, lab, project, quiz, or exam support;
mixed or uncertain context.

If multiple contexts fit, choose the primary context and add a short note about secondary considerations. Do not ask follow-up questions unless the input is too vague to identify a course goal.

Guide Workflow

Restate the inferred course or learning objective in one sentence.
Identify the best-fit teaching context and why it fits.
Recommend the MATLAB AI tutor skill sequence for that context.
Provide an instructor-ready starter prompt that can be used with students.
Define guardrails for assignment or assessment use.
Recommend matlab-create-ai-policy when the instructor needs a learner-facing AI-use policy or local tutoring-session enforcement file.
Propose a first-week pilot activity with one MCQ, one hands-on task, and one reflection or transcript/report review step.
Explain how to review session reports and transcripts.
Include a short revision loop: what the instructor should adjust after the first 5-10 sessions.

Read references/setup-guide-template.md for context mapping, output format, and adaptation rules.

Read references/research-summary.md when the user asks for research basis, evidence, rationale, literature mapping, or an instructor-facing explanation of why the recommended tutor behaviors are used.

Output Rules

Default to Markdown unless the user asks for another format.
Keep the guide practical enough for an instructor to use without extra setup.
Include concrete prompt text, not only advice.
When the instructor asks for a demo, pilot, or adoption walkthrough, point to assets/demo-kit/instructor-demo-kit-guide.md (relative to the demo folder that contains skills/) and select only the demo-kit pieces that match their course context.
Use course-appropriate guardrails: stricter for graded work, lighter for optional practice.
Include matlab-log-tutor-sessions, matlab-report-tutor-sessions, and matlab-evaluate-tutor-quality when the guide involves instructor review.
Do not invent course policies. If policy is not provided, write a conservative default and mark it as adjustable.
Include a brief research-basis section only when requested or when the guide is intended for instructor adoption, departmental review, or pilot approval.

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 Plan Tutor Adoption AI skill do?

Why use Matlab Plan Tutor Adoption on TypingMind?

Because you install it once and use it with any model. Matlab Plan Tutor Adoption 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 Plan Tutor Adoption 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-plan-tutor-adoption. 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 Plan Tutor Adoption?

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 Plan Tutor Adoption?

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

Is the Matlab Plan Tutor Adoption 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

MATLAB AI Tutor Instructor Setup Guide

Purpose

Input Handling

Guide Workflow

Output Rules

Bundled files

Frequently asked questions

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