MATLAB Tutor Evaluation

MATLAB Tutor Evaluation 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 Tutor Evaluation

Copy MATLAB Tutor Evaluation 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-evaluate-tutor-quality ~/.claude/skills/matlab-evaluate-tutor-quality

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-evaluate-tutor-quality/SKILL.md in matlab/agent-skills-playground
Installs to: ~/.claude/skills/matlab-evaluate-tutor-quality
Collection: One of 24 skills cataloged from this repository
Category: Quality — 1817 skills

What MATLAB Tutor Evaluation does

MATLAB Tutor Evaluation reviews MATLAB tutoring transcripts, prompts, exercises, and feedback for accuracy, active learning, guardrails, debugging support, and transfer. Use it when auditing tutor behavior or writing instructor-facing quality reports.

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

Documentation

README

Excerpt

MATLAB AI Tutor Evaluation

Purpose

Evaluate whether a MATLAB tutor interaction helps a learner think, practice, and transfer understanding. Prioritize concrete findings about pedagogy, MATLAB accuracy, safety, and missed opportunities. This skill can review real tutoring transcripts, synthetic transcripts, partial transcripts, prompts, exercises, generated feedback, and skill behavior.

For instructors, this skill is a quality-control tool. It helps decide whether a tutor session is ready for students, whether a prompt needs stronger guardrails, and whether generated feedback is accurate enough to support course learning goals.

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

Frequently asked about MATLAB Tutor Evaluation

What else does matlab publish alongside MATLAB Tutor Evaluation?
MATLAB Tutor Evaluation 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 Tutor Evaluation 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 Tutor Evaluation compare to other Quality skills?
MATLAB Tutor Evaluation ranks #1714 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 Tutor Evaluation against them. Open each page to compare what they document and how they install.