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Managing Simulink Projects

OrganizationPopular
matlab
managing-simulink-projects

Manages MATLAB projects for Simulink workflows: path management, file registration, labels, source control configuration, and project lifecycle. Use when creating projects, adding models/dictionaries/requirements to projects, configuring labels for automation, fixing broken model references, or setting up source control for Simulink artifacts.

Overview

Publishermatlab
Repositorysimulink-agentic-toolkit
Skill namemanaging-simulink-projects
Stars
1.2K
Forks
112
Bundled files
6
Links
  • 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.

  • 6 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 Managing Simulink Projects AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/matlab/simulink-agentic-toolkit/tree/main/skills-catalog/model-based-design-core/managing-simulink-projects
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

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/simulink-agentic-toolkit.git /tmp/simulink-agentic-toolkit
mkdir -p .claude/skills
cp -r /tmp/simulink-agentic-toolkit/skills-catalog/model-based-design-core/managing-simulink-projects .claude/skills/managing-simulink-projects
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Managing Simulink Projects 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 Managing Simulink Projects 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 Managing Simulink Projects 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.

Managing Simulink Projects

MATLAB projects coordinate Simulink workflows — they manage the MATLAB path (which Simulink uses to resolve model references, data dictionaries, and requirements), track file membership for source control, and provide label-based automation for selecting targets in CI/CD pipelines.

When to Use

  • Creating a new MATLAB project for Simulink models
  • Adding models, data dictionaries, or requirements to an existing project
  • Configuring project paths so Simulink can resolve references
  • Setting up labels for automation (test selection, code generation targets)
  • Configuring source control and cache folders
  • Diagnosing broken model references, missing dictionaries, or failing project health checks

When NOT to Use

  • Building or editing model structure (blocks, connections) → use building-simulink-models
  • Writing or running tests → use testing-simulink-models
  • Drafting requirements content → use generate-requirement-drafts
  • Running simulations for analysis → use simulating-simulink-models

Mental Model

Four principles that prevent the most common failures:

  1. Registration ≠ path. addFile registers a file with the project for source control tracking. addPath puts a folder on the MATLAB path so Simulink can resolve artifacts by filename. These are independent operations — you almost always need both.

  2. Filename-only resolution. Data dictionaries (set_param(...,'DataDictionary',...), addDataSource), model references, and requirements all resolve via MATLAB path using filename only — never full paths. The containing folder must be on the project path.

  3. addPath is not recursive. Each subfolder containing resolvable artifacts needs its own addPath call.

  4. Single-project constraint. Only one project can be open at a time. Creating or opening a new project silently closes the current one (running its shutdown scripts). currentProject throws an error when no project is open — it does not return empty.

Guardrails

Always:

  • Use addPath(proj, folder) for every folder containing dictionaries, referenced models, requirements, or profiles
  • Pass filename only (not full paths) to addDataSource, set_param(...,'DataDictionary',...), and slreq.createLink
  • Use absolute paths for SimulinkCacheFolder and SimulinkCodeGenFolder: proj.SimulinkCacheFolder = fullfile(proj.RootFolder, 'work')
  • Call updateDependencies(proj) before querying proj.Dependencies
  • Close the current project before creating or opening another
  • Use .graphml extension for DependencyCacheFile
  • Use .gitignore for excluding derived files from source control
  • Add requirements folder to project path when linking requirements to models
  • Register .slmx link-store files with the project (guarded by isfile check)

Ask First:

  • Deleting files from a project (removeFile then disk delete)
  • Modifying startup/shutdown scripts (affects all users who open the project)
  • Changing project references (affects dependent projects)

Never:

  • Use proj.IgnoredFilePatterns — throws "Feature not supported" for all project types from createProject
  • Use cat.Labels — the correct property is cat.LabelDefinitions
  • Use 'string' as a label DataType — valid types are 'none', 'char', 'double', 'integer', 'logical'
  • Use findFile (singular) for label queries in R2024a+ — use findFiles (plural). ONLY use findFile with R2023a/b
  • Pass full file paths to filename-only APIs
  • Attempt to open two projects simultaneously
  • Use clear all in startup scripts — it wipes the proj variable

Task Routing

IntentReference
Add files/folders to project, manage project pathreferences/path-and-file-management.md
Set up labels for automation pipelinesreferences/labels-and-automation.md
Link data dictionaries to modelsreferences/data-dictionaries.md
Configure model references across foldersreferences/model-references.md
Configure source control, cache folders, .gitignorereferences/source-control-and-caching.md
Configure startup/shutdown scriptsreferences/path-and-file-management.md (Startup and Shutdown Scripts section)
Diagnose broken references or health check failuresStart with Verification below, then route to the relevant reference

Verification

Run after every project modification:

matlab
results = runChecks(proj);
updateDependencies(proj);
deps = proj.Dependencies;  % digraph

If runChecks reports issues, inspect which folders are missing from the project path — this is the root cause of most failures.


Copyright 2026 The MathWorks, Inc.


Bundled files

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

Frequently asked questions

What does the Managing Simulink Projects AI skill do?

Manages MATLAB projects for Simulink workflows: path management, file registration, labels, source control configuration, and project lifecycle. Use when creating projects, adding models/dictionaries/requirements to projects, configuring labels for automation, fixing broken model references, or setting up source control for Simulink artifacts.

Why use Managing Simulink Projects on TypingMind?

Because you install it once and use it with any model. Managing Simulink Projects 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 Managing Simulink Projects in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/matlab/simulink-agentic-toolkit/tree/main/skills-catalog/model-based-design-core/managing-simulink-projects. 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 Managing Simulink Projects?

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 Managing Simulink Projects?

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

Is the Managing Simulink Projects 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.

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