Agent Skills Playground

A sandbox for prototyping and demonstrating Agent Skills for MATLAB and Simulink work. Skills here are experimental. They may be incomplete, change without notice, or migrate to an official toolkit over time.

For official skills, use Agentic Toolkits for MATLAB and Simulink:

• MATLAB Agentic Toolkit: Gives your AI agent the knowledge and context to work efficiently with MATLAB and its toolboxes
• Simulink Agentic Toolkit: Give your AI coding agent the ability to read, build, edit, and test Simulink® models using Model-Based Design best practices.

What this repo is for

• Prototyping: trying out new skill ideas.
• Demos: informal examples of what Agent Skills can do with MATLAB and Simulink.

Demos

Demo	What it shows
engineering-an-agent-skill	A test-first process for authoring your own Agent Skills, with a meta-skill that walks an agent through the five stages. Accompanies the blog post.
mbse-with-agentic-ai	Agent-driven Model-Based Systems Engineering workflow in MATLAB and Simulink (RFLP methodology). Accompanies the blog post.
requirements-based-verification	Generate Simulink Test Sequence harnesses from reviewed EARS requirements. Includes the skill, a ModeLogic example, and MATLAB tests.
embedded-ai-deployment	Agent-driven deployment of AI models to embedded hardware with MATLAB, Simulink, and Embedded Coder. Routes between native models compressed for lean targets (Cortex-M, DSP) and direct C/C++ generation from PyTorch and LiteRT models for high-performance hardware. Requires MATLAB R2026a.
lorenz-uihtml-app	An interactive Lorenz attractor, built by an agent using the matlab-uihtml-app-builder and matlab-uihtml-design skills. An HTML control panel drives an ode45 integration, with animated tracing, live speed control, mid-run stop, and PNG export.
boids-uihtml-app	An interactive Boids flocking simulator for learning emergence, built with the same two uihtml skills in the Warm Dark style. Live rule-weight sliders, behavior presets, a flock-order readout, per-boid inspection, and predator strikes. The README teaches the model through guided experiments.
assessment-generation-for-matlab-grader	Agent-driven generation of MATLAB Grader assessment items from a learning objective: descriptions, reference solutions, learner templates, randomized tests, and optional QTI 3 interchange files. Includes an instructor setup-guide skill for course rollouts.
ai-tutoring	A coordinated set of 11 skills that turn an agent into a course-aware MATLAB tutor: concept coaching, evidence-based debugging, practice activities, AI-use policies and guardrails, and session reports. Includes an instructor demo kit and example reports.
**[course-gene