Matlab Plan Course Adoption logo

Matlab Plan Course Adoption

Organization
matlab
matlab-plan-course-adoption

Use when an instructor asks for a setup guide, adoption guide, planning guide, implementation checklist, prerequisite check, MATLAB Course Designer course structure plan, Common Cartridge workflow, Simulink starter and solution model planning, LMS import plan, or starter prompt for creating a MATLAB and Simulink enabled course with the matlab-generate-course skill.

Overview

Publishermatlab
Repositoryagent-skills-playground
Skill namematlab-plan-course-adoption
Stars
179
Forks
32
Bundled files
1
Links
Skill sourceRepositoryHomepage
  • 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 Plan Course Adoption 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/course-generation/skills/matlab-plan-course-adoption .claude/skills/matlab-plan-course-adoption
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Matlab Plan Course 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 Course 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 Course 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 Course Instructor Setup Guide

Generate a short instructor-facing setup guide for adopting the MATLAB Course Designer Generator skill package. The guide prepares an instructor to run matlab-generate-course, review MATLAB and Simulink activities, use the matlab-create-course-activity skill to wrap matlab-generate-grader-assessments and validate MATLAB Exercise .m files, use simulink-create-course-activity for Simulink Exercise starter and solution model files, and review the final Common Cartridge package as the persisted course representation.

The guide must frame generated content around the MATLAB Course Designer organization model: a course contains ordered modules, and modules contain ordered learning activities. Common Cartridge is the persistence format used outside the web application until future API work creates course instances directly.

Input Handling

Treat the user's course title, syllabus idea, module description, audience, lab sequence, existing course, or rollout goal as the guide input. If the input is missing, ask for one sentence describing the course or rollout context.

Infer:

  • Course context and learner level
  • MATLAB and Simulink scope
  • Likely assessment approach
  • Common Cartridge persistence target and any downstream LMS import target
  • Course Designer module and learning activity structure
  • Prerequisite skill/toolkit readiness
  • Whether MATLAB Exercises are likely needed and should be generated through matlab-create-course-activity
  • Whether Simulink Exercises need starter and solution .slx files generated by simulink-create-course-activity

Do not ask follow-up questions unless the input is too vague to identify a course goal.

Guide Workflow

  1. Restate the inferred course goal.
  2. Identify the best-fit course generation context.
  3. List prerequisite skill packages and MathWorks access assumptions, always including IDStack, the MATLAB MCP Server, and the activity skills by name.
  4. Recommend a matlab-generate-course starter prompt.
  5. Recommend when and how to use matlab-create-course-activity for MATLAB Exercise component generation, MATLAB MCP validation, and Course Designer-only fields.
  6. Recommend when and how to use simulink-create-course-activity for Simulink Exercise model artifacts.
  7. Define Course Designer module and learning activity review gates.
  8. Define Common Cartridge export and persisted course review checks.
  9. Propose a first pilot with one module or one short course shell.
  10. Include a concise instructor checklist.

Read references/setup-guide-template.md for output format, context mapping, prompt patterns, and checklist content.

Output Rules

  • Default to Markdown unless the user asks for another format.
  • Keep the guide practical enough for an instructor to act on immediately.
  • Include a concrete matlab-generate-course starter prompt.
  • Include concrete matlab-create-course-activity prompts when MATLAB Exercises are likely.
  • State that Common Cartridge persists the course shell and instructions outside MATLAB Course Designer; MATLAB and Simulink execution happens in the appropriate MathWorks environment.
  • Keep institutional policy language adjustable unless the user provides local requirements.

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 Course Adoption AI skill do?

Use when an instructor asks for a setup guide, adoption guide, planning guide, implementation checklist, prerequisite check, MATLAB Course Designer course structure plan, Common Cartridge workflow, Simulink starter and solution model planning, LMS import plan, or starter prompt for creating a MATLAB and Simulink enabled course with the matlab-generate-course skill.

Why use Matlab Plan Course Adoption on TypingMind?

Because you install it once and use it with any model. Matlab Plan Course 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 Course Adoption in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/matlab/agent-skills-playground/tree/main/demos/course-generation/skills/matlab-plan-course-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 Course 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 Course Adoption?

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

Is the Matlab Plan Course 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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