Skills

Simulating Simulink Models

Configures Simulink simulations non-destructively using SimulationInput objects, ...

Install

npx skills add matlab/simulink-agentic-toolkit --skill simulating-simulink-models -g -a claude-code -y
Category
Data and ML
Updated
6d ago
License
See repository
Context cost
Lightabout 1,262 tokens
Runs scripts
No, instructions only

What it does

Configures Simulink simulations non-destructively using SimulationInput objects, parameter overrides without modifying the model, batch sweeps via parsim, custom input signals via Dataset, and simulation data retrieval via logsout. Use when running sim()/parsim() with setVariable, setBlockParameter, setExternalInput, or when performing parameter sweeps and multi-run analysis. Not needed for one-shot simulations without configuration.

Simulating Simulink Models with the sim Command

Use this skill when you need to configure a simulation non-destructively, parameter overrides, custom inputs, batch execution, or structured output access. For persistent, reusable pass/fail behavioral testing (especially of individual subsystems), use testing-simulink-models instead. For trivial one-shot simulations without configuration, a direct sim() call suffices without this skill.

When to Use

  • Overriding model or block parameters non-destructively (setVariable, setBlockParameter, setModelParameter), without modifying the .slx file
  • Passing custom input signals to root-level Inport blocks via setExternalInput with a Dataset
  • Running parameter sweeps or batch simulations (SimulationInput arrays, parsim, Fast Restart)
  • Accessing logged signal data (logsout) for analysis after simulation

When NOT to Use

  • Trivial one-shot simulations without parameter overrides or custom inputs, a direct sim('ModelName') call works without this skill
  • Writing declarative Gherkin-based tests → use testing-simulink-models
  • Testing an individual subsystem or component → use testing-simulink-models (requires Simulink Test; auto-creates a harness, compiles only the subsystem, much faster than sim() which always compiles the entire model)
  • Adding, connecting, or deleting blocks → use building-simulink-models
  • Checking model structure for unconnected ports → use model_check tool directly
  • Generating requirements from model behavior → use generate-requirement-drafts

Minimal working pattern

Always simulate using Simulink.SimulationInput and Simulink.SimulationOutput:

in = Simulink.SimulationInput('MyModel');
in = in.setModelParameter('StopTime', '10');
out = sim(in);

Setting parameters

Use SimulationInput methods to configure the simulation:

Read the whole SKILL.md on GitHub

More in Data and ML