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/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.

From plugin
agent-skills-playground
19428 skills

Claude Code

$ npx -y skills add matlab/agent-skills-playground --skill matlab-plan-tutor-adoption --agent claude-code

SKILL.md

matlab-plan-tutor-adoption.SKILL.md
name: matlab-plan-tutor-adoption
description: 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.
license: https://www.mathworks.com/content/dam/mathworks/license/pmrl/license.md
metadata:
  author: MathWorks
  version: "1.0"

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

1. Restate the inferred course or learning objective in one sentence. 2. Identify the best-fit teaching context and why it fits. 3. Recommend the MATLAB AI tutor skill sequence for that context. 4. Provide an instructor-ready starter prompt that can be used with students. 5. Define guardrails for assignment or assessment use. 6. Recommend `matlab-create-ai-policy` when the instructor needs a learner-facing AI-use policy or local tutoring-session enforcement file. 7. Propose a first-week pilot activity with one MCQ, one hands-on task, and one reflection or transcript/report review step. 8. Explain how to review session reports and transcripts. 9. Include a short revision loop: what the instructor should adjust after the first 5-10 sessions.

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

Read [references/research-summary.md](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.

Read more
@matlab
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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.

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Questions about matlab-plan-tutor-adoption.

Which coding agents can use matlab-plan-tutor-adoption?
matlab-plan-tutor-adoption installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.