Matlab Log Tutor Sessions

Organization

matlab

matlab-log-tutor-sessions

Use when starting, continuing, updating, exporting, or sharing a running transcript of a MATLAB AI tutoring session, especially when the transcript will be shared with an instructor, attached to a learner session report, or passed to an evaluation workflow for quality review.

Overview

Publisher	matlab
Repository	`agent-skills-playground`
Skill name	`matlab-log-tutor-sessions`
Stars	179
Forks	32
Bundled files	1
Links	Skill source Repository Homepage

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 Log Tutor Sessions AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/matlab/agent-skills-playground/tree/main/demos/ai-tutoring/skills/matlab-log-tutor-sessions

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

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/ai-tutoring/skills/matlab-log-tutor-sessions .claude/skills/matlab-log-tutor-sessions

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Matlab Log Tutor Sessions 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 Log Tutor Sessions 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 Log Tutor Sessions 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 AI Tutor Transcript Log

Purpose

Keep a running, evidence-preserving transcript of a MATLAB tutoring session once tutoring has started. The transcript should capture enough context for an instructor or evaluator to understand what happened without turning the log into a polished summary or grade.

Use this skill with:

matlab-tutor-learners
matlab-coach-programming
matlab-apply-assignment-guardrails
matlab-create-hands-on-exercises
matlab-coach-debugging
matlab-create-mcq-practice
matlab-report-tutor-sessions
matlab-evaluate-tutor-quality

Logging Principles

Start the transcript when a MATLAB tutoring session begins or when the learner asks to record, share, evaluate, or report on the session.
Preserve the sequence of tutor and learner turns.
Capture MATLAB evidence exactly enough to support review: code snippets, outputs, errors, Code Analyzer warnings, test results, and inspected values.
Label uncertain, missing, synthetic, or reconstructed content clearly.
Keep private or unnecessary personal information out of the transcript.
Do not convert the transcript into feedback, a grade, or a learner report.
Ask before including sensitive course, identity, or grade information.
If the user only provides a partial transcript, mark it as partial.

Transcript Workflow

Identify the session context: course, assignment status, learner goal, MATLAB topic, and whether the transcript is real, synthetic, partial, or reconstructed.
Create or update the transcript artifact using the required structure.
Append each meaningful turn in order with speaker, timestamp if available, and observed content.
Add MATLAB evidence blocks for code, errors, outputs, tests, and tool results.
Tag tutor moves when visible: active learning, feedback, guardrail, debugging support, transfer, or direct explanation.
Add brief session markers for important events such as policy checks, learner revisions, verified fixes, unresolved issues, and transfer prompts.
End with export notes that state what is complete, partial, omitted, or synthetic.

Read references/transcript-template.md for the required transcript structure, evidence tags, and export format.

File Naming

Autoname transcript files:

text
MATLAB AI Tutor Transcript YYYY-MM-DD HHMMSS.md

Use local session datetime when available. Use 24-hour time and omit colons from the time. Example:

text
MATLAB AI Tutor Transcript 2026-06-03 101500.md

Instructor and Evaluation Use

When a transcript is intended for an instructor or evaluation workflow:

include the transcript provenance: real, synthetic, partial, reconstructed, or mixed;
include the assignment policy context if it was provided;
include enough MATLAB evidence to judge correctness;
mark any hidden, omitted, or unavailable turns;
preserve exact tutor wording for moments that may affect guardrails, feedback quality, or student independence.

Use matlab-report-tutor-sessions after this skill when the user wants a learner-facing progress summary. Use matlab-evaluate-tutor-quality when the user wants a quality review of tutor behavior.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

references/transcript-template.md3 KB

Frequently asked questions

What does the Matlab Log Tutor Sessions AI skill do?

Why use Matlab Log Tutor Sessions on TypingMind?

Because you install it once and use it with any model. Matlab Log Tutor Sessions 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 Log Tutor Sessions in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/matlab/agent-skills-playground/tree/main/demos/ai-tutoring/skills/matlab-log-tutor-sessions. 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 Log Tutor Sessions?

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 Log Tutor Sessions?

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

Is the Matlab Log Tutor Sessions 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.

View all

Learn

rohitg00

CommunityPopular

Interactive lesson tutor for the AI Engineering from Scratch curriculum. Reads LEARNING.md, fetches the next lesson, teaches it section by section in the terminal, quizzes at the end, and records…

Start Learning

One-time onboarding for the AI Engineering from Scratch curriculum (523 lessons, 20 phases). Interviews the learner, runs the placement quiz, and writes LEARNING.md, a persistent study plan the learn…

Free Tools

When the user wants to plan, evaluate, or build a free tool for marketing purposes — lead generation, SEO value, or brand awareness. Also use when the user mentions "engineering as marketing," "free…

Offers

When the user wants to design, construct, or improve an offer — the thing they actually sell — including value framing, bonus stacking, guarantee design, scarcity/urgency, naming, and payment…

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

MATLAB AI Tutor Transcript Log

Purpose

Logging Principles

Transcript Workflow

File Naming

Instructor and Evaluation Use

Bundled files

Frequently asked questions

Related AI Skills

Set up your own AI workspace now