# Simulating Simulink Models

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

- Repository: https://github.com/matlab/simulink-agentic-toolkit (1305 stars)
- Category: Data and ML
- License: see repository
- Last updated: 2026-10-29
- Runs scripts: no, instructions only

## Install

Claude Code: `npx skills add matlab/simulink-agentic-toolkit --skill simulating-simulink-models -g -a claude-code -y`
Codex: `npx skills add matlab/simulink-agentic-toolkit --skill simulating-simulink-models -g -a codex -y`
Cursor: `npx skills add matlab/simulink-agentic-toolkit --skill simulating-simulink-models -g -a cursor -y`
Gemini CLI: `npx skills add matlab/simulink-agentic-toolkit --skill simulating-simulink-models -g -a gemini-cli -y`
Claude Code plugin marketplace: `/plugin marketplace add matlab/simulink-agentic-toolkit`

## Description

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.

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# 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`:

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

## Setting parameters

Use `SimulationInput` methods to configure the simulation:

The rest: https://github.com/matlab/simulink-agentic-toolkit/blob/HEAD/skills-catalog/model-based-design-core/simulating-simulink-models/SKILL.md