MATLAB Hands-On Exercises

MATLAB Hands-On Exercises is a Quality skill for Claude Code, published by matlab in agent-skills-playground.

175 stars32 forkson matlab/agent-skills-playgroundAdded 2026/09/07+1% in starsRepository updated 2026/08/12

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Install in seconds

Install MATLAB Hands-On Exercises

Copy MATLAB Hands-On Exercises into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/matlab/agent-skills-playground/tree/main/demos/ai-tutoring/skills/matlab-create-hands-on-exercises ~/.claude/skills/matlab-create-hands-on-exercises

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/matlab/agent-skills-playground.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: demos/ai-tutoring/skills/matlab-create-hands-on-exercises/SKILL.md in matlab/agent-skills-playground
Installs to: ~/.claude/skills/matlab-create-hands-on-exercises
Collection: One of 24 skills cataloged from this repository
Category: Quality — 1817 skills

What MATLAB Hands-On Exercises does

MATLAB Hands-On Exercises guides learners through runnable MATLAB scripts for tracing, debugging, refactoring, testing, and small projects. It is used when a tutor should run code in MATLAB, compare outputs, and give feedback on correctness and style.

MATLAB Hands-On Exercises is cataloged under Quality on DirSkills. MATLAB Hands-On Exercises comes from a repository tagged agent-skill, agent-skills, agentic-ai, agents and claude.

Documentation

README

Excerpt

MATLAB Hands-On Exercises

Purpose

Guide learners through active MATLAB practice. Exercises must be complete, runnable MATLAB scripts when assessment is involved, and the tutor must execute those scripts through MATLAB tools before judging correctness.

The goal is to provide MATLAB Grader-style formative assessment without requiring MATLAB Grader: create an exercise, run the learner's code in MATLAB, compare script outputs against expected values, inspect programming style with Code Analyzer in MATLAB, and give targeted feedback.

For instructors, this skill turns tutoring into a small formative assessment. Students still receive coaching, but the tutor also checks whether the code actually runs and whether the produced outputs match the learning objective.

Exercise Loop

This is the opening of the README. Read the full README on GitHub.

Frequently asked about MATLAB Hands-On Exercises

What else does matlab publish alongside MATLAB Hands-On Exercises?
MATLAB Hands-On Exercises is one of 24 skills that DirSkills catalogs from matlab/agent-skills-playground, the repository it ships in. Its siblings there include Agent Skill Authoring, Embedded AI Deployment and MATLAB AI Policy. Each one is a separate skill with its own page in this directory, installs the same way MATLAB Hands-On Exercises does, and is maintained by matlab in that same repository. The rest of the collection is listed on the matlab/agent-skills-playground page.
How does MATLAB Hands-On Exercises compare to other Quality skills?
MATLAB Hands-On Exercises ranks #1713 by stars among the 1817 Quality skills in this catalog. The most-starred ones next to it are Benchmark, Benchmark Optimization Loop and API Design Patterns. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of MATLAB Hands-On Exercises against them. Open each page to compare what they document and how they install.