RoadRunner Scenario Simulation

RoadRunner Scenario Simulation is an AI Engineering skill for Claude Code, published by matlab in matlab-agentic-toolkit.

938 stars115 forkson matlab/matlab-agentic-toolkitAdded 2026/08/21+2% in starsRepository updated 2026/08/13

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agent-skillsclaude-codecodex-pluginengineering-agentsgithub-copilotmatlabmatlab-mcp-server

Install in seconds

Install RoadRunner Scenario Simulation

Copy RoadRunner Scenario Simulation into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/matlab/matlab-agentic-toolkit/tree/main/skills-catalog/automotive/roadrunner-scenario-simulating ~/.claude/skills/roadrunner-scenario-simulating

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/matlab/matlab-agentic-toolkit.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: skills-catalog/automotive/roadrunner-scenario-simulating/SKILL.md in matlab/matlab-agentic-toolkit
Installs to: ~/.claude/skills/roadrunner-scenario-simulating
Collection: One of 25 skills cataloged from this repository
Category: AI Engineering — 2451 skills

What RoadRunner Scenario Simulation does

RoadRunner Scenario Simulation runs RoadRunner scenarios from MATLAB and Simulink, including stepping, actor control, observers, sensors, logs, and scenario variables. Use it when you need to simulate or co-simulate an existing scenario, not to author scenes or scenarios.

RoadRunner Scenario Simulation is cataloged under AI Engineering on DirSkills. RoadRunner Scenario Simulation comes from a repository tagged agent-skills, claude-code, codex-plugin, engineering-agents and github-copilot.

Documentation

README

Excerpt

RoadRunner Scenario Simulation

Simulate RoadRunner scenarios, step through simulations, control actors in co-simulation, add observers, attach sensors, and retrieve results — from MATLAB and Simulink.

When to Use

User wants to run a RoadRunner scenario simulation
User wants to step through a simulation frame-by-frame
User wants to control an actor externally (co-simulation)
User wants to observe simulation state (read-only monitoring)
User wants to add sensors and read target poses or lane boundaries
User wants to retrieve simulation logs programmatically
User wants to read or write scenario variables
User asks about co-simulation with Simulink
User asks about publishing actor behaviors

This is the opening of the README. Read the full README on GitHub.

Frequently asked about RoadRunner Scenario Simulation

What else does matlab publish alongside RoadRunner Scenario Simulation?
RoadRunner Scenario Simulation is one of 25 skills that DirSkills catalogs from matlab/matlab-agentic-toolkit, the repository it ships in. Its siblings there include Aerospace Fundamentals, Build RoadRunner Scenario From OpenSCENARIO and Compute Aerospace Environment. Each one is a separate skill with its own page in this directory, installs the same way RoadRunner Scenario Simulation does, and is maintained by matlab in that same repository. The rest of the collection is listed on the matlab/matlab-agentic-toolkit page.
How does RoadRunner Scenario Simulation compare to other AI Engineering skills?
RoadRunner Scenario Simulation ranks #1452 by stars among the 2451 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of RoadRunner Scenario Simulation against them. Open each page to compare what they document and how they install.