Matlab
K-Dense-AI/scientific-agent-skills
Builds, reviews, migrates, and plans MATLAB or GNU Octave numerical workflows.
Expert guidance for simulating RoadRunner scenarios via the MATLAB programmatic API and Simulink co-simulation.
Custom licenceAuto-check passed
Install Roadrunner Scenario Simulating
$ npx skills add matlab/matlab-agentic-toolkit --skill roadrunner-scenario-simulating -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install matlab/matlab-agentic-toolkit roadrunner-scenario-simulating --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/matlab/matlab-agentic-toolkit.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills-catalog/automotive/roadrunner-scenario-simulating .claude/skills/roadrunner-scenario-simulating && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "roadrunner-scenario-simulating" agent skill from https://github.com/matlab/matlab-agentic-toolkit/tree/main/skills-catalog/automotive/roadrunner-scenario-simulating into .claude/skills/roadrunner-scenario-simulating/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "roadrunner-scenario-simulating", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/matlab/matlab-agentic-toolkit/tree/main/skills-catalog/automotive/roadrunner-scenario-simulatingType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add matlab/matlab-agentic-toolkit --skill roadrunner-scenario-simulating -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install matlab/matlab-agentic-toolkit roadrunner-scenario-simulating --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/matlab/matlab-agentic-toolkit.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills-catalog/automotive/roadrunner-scenario-simulating .agents/skills/roadrunner-scenario-simulating && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "roadrunner-scenario-simulating" agent skill from https://github.com/matlab/matlab-agentic-toolkit/tree/main/skills-catalog/automotive/roadrunner-scenario-simulating into .agents/skills/roadrunner-scenario-simulating/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "roadrunner-scenario-simulating", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add matlab/matlab-agentic-toolkit --skill roadrunner-scenario-simulating -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install matlab/matlab-agentic-toolkit roadrunner-scenario-simulating --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/matlab/matlab-agentic-toolkit.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills-catalog/automotive/roadrunner-scenario-simulating .cursor/skills/roadrunner-scenario-simulating && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "roadrunner-scenario-simulating" agent skill from https://github.com/matlab/matlab-agentic-toolkit/tree/main/skills-catalog/automotive/roadrunner-scenario-simulating into .cursor/skills/roadrunner-scenario-simulating/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "roadrunner-scenario-simulating", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/matlab/matlab-agentic-toolkit.git --path skills-catalog/automotive/roadrunner-scenario-simulating--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add matlab/matlab-agentic-toolkit --skill roadrunner-scenario-simulating -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install matlab/matlab-agentic-toolkit roadrunner-scenario-simulating --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/matlab/matlab-agentic-toolkit.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills-catalog/automotive/roadrunner-scenario-simulating .gemini/skills/roadrunner-scenario-simulating && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "roadrunner-scenario-simulating" agent skill from https://github.com/matlab/matlab-agentic-toolkit/tree/main/skills-catalog/automotive/roadrunner-scenario-simulating into .gemini/skills/roadrunner-scenario-simulating/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "roadrunner-scenario-simulating", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install matlab/matlab-agentic-toolkit roadrunner-scenario-simulatingInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add matlab/matlab-agentic-toolkit --skill roadrunner-scenario-simulating -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/matlab/matlab-agentic-toolkit.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills-catalog/automotive/roadrunner-scenario-simulating .github/skills/roadrunner-scenario-simulating && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "roadrunner-scenario-simulating" agent skill from https://github.com/matlab/matlab-agentic-toolkit/tree/main/skills-catalog/automotive/roadrunner-scenario-simulating into .github/skills/roadrunner-scenario-simulating/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "roadrunner-scenario-simulating", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add matlab/matlab-agentic-toolkit --skill roadrunner-scenario-simulating -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install matlab/matlab-agentic-toolkit roadrunner-scenario-simulating --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/matlab/matlab-agentic-toolkit.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills-catalog/automotive/roadrunner-scenario-simulating .opencode/skills/roadrunner-scenario-simulating && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "roadrunner-scenario-simulating" agent skill from https://github.com/matlab/matlab-agentic-toolkit/tree/main/skills-catalog/automotive/roadrunner-scenario-simulating into .opencode/skills/roadrunner-scenario-simulating/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "roadrunner-scenario-simulating", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
roadrunner-scenario-simulating- GitHub stars
- 1.1k
- Token cost
- ~5.6k tokens
- SKILL.md length
- 1,647 words
- Files
- 4 (incl. references)
- Skills in repo
- 142
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Expert guidance for simulating RoadRunner scenarios via the MATLAB programmatic API and Simulink co-simulation.
- Works in 3 steps: Assign a behavior to the actor (see below) → In MATLAB: Write a System object that… → The System object finds itself using…
- The user wants to run a simulation
- SKILL.md covers When to Use, When NOT to Use, Critical: Do NOT Confuse With… and Decision Tree, plus 13 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Roadrunner Scenario Simulating is an agent skill from matlab/matlab-agentic-toolkit. Expert guidance for simulating RoadRunner scenarios via the MATLAB programmatic API and Simulink co-simulation. Use when the user wants to run a simulation, step through a simulation, control actors during co-simulation, add observers, attach sensors, retrieve simulation logs, or read/write scenario variables. Covers simulateScenario, createSimulation, ScenarioSimulation set/get, ActorSimulation getAttribute/setAttribute, addObserver, SensorSimulation, Simulink co-sim blocks, and publishActorBehavior. NOT for…
Its SKILL.md is about 5.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `manifest.yaml`, `references/simulation-api-reference.md` and `references/simulink-cosim-details.md`).
The repository describes itself as: The MATLAB Agentic Toolkit brings proven MATLAB capabilities to AI agents, making engineering and scientific workflows agent-ready.
When your agent uses it
- The user wants to run a simulation
- Step through a simulation
- Control actors during co-simulation
- Retrieve simulation logs
Example prompts
- “/roadrunner-scenario-simulating”
Workflow steps
3 steps, taken from the first numbered list in SKILL.md.
- Assign a behavior to the actor (see below)
- In MATLAB: Write a System object that controls the actor at runtime
- The System object finds itself using Simulink.ScenarioSimulation.find
What it can do on your machine
Read from SKILL.md and the folder at commit 59dfd92. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are matlab).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Roadrunner Scenario Simulating loads about 5.6k tokens when it runs, and up to ~8k if it reads all its reference files. Until then it costs about 155 tokens; SKILL.md has 1,647 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 1,647 words (~5,576 tokens).
“Simulate RoadRunner scenarios, step through simulations, control actors in co-simulation, add observers, attach sensors, and retrieve results — from MATLAB and Simulink.”
- name
- roadrunner-scenario-simulating
- license
- https://www.mathworks.com/content/dam/mathworks/license/pmrl/license.md
- metadata.author
- MathWorks
- metadata.version
- 1.0
Files
SKILL.md and 3 other files (references) in skills-catalog/automotive/roadrunner-scenario-simulating of matlab/matlab-agentic-toolkit.
- SKILL.md
- manifest.yaml
- references/simulation-api-reference.md
- references/simulink-cosim-details.md
Open the folder on GitHubat commit 59dfd92
Compare with similar skills
Roadrunner Scenario Simulating next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Roadrunner Scenario Simulating this skillmatlab/matlab-agentic-toolkit | 1.1k | — | ~5.6k | Automated safety check: Pass | Custom licence | |
| MatlabK-Dense-AI/scientific-agent-skills | 48k | 1 repos | ~4.1k | Automated safety check: Notes | MIT | |
| SEO Programmaticsickn33/agentic-awesome-skills | 47k | 2 repos | ~2.4k | Automated safety check: Notes | MIT | |
| MatlabzLanqing/codex-claude-academic-skills | 4.6k | 9 repos | ~2.3k | Automated safety check: Notes | GPL-3.0 | |
| Eas Simulatorsickn33/agentic-awesome-skills | 47k | 1 repos | ~6k | Automated safety check: Notes | MIT | |
| Scenarioscenario-labs/skills | 913 | 1 repos | ~6.2k | Automated safety check: Pass | MIT |
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Questions about Roadrunner Scenario Simulating
What does Roadrunner Scenario Simulating do?
Expert guidance for simulating RoadRunner scenarios via the MATLAB programmatic API and Simulink co-simulation. Roadrunner Scenario Simulating is an agent skill from matlab/matlab-agentic-toolkit. Expert guidance for simulating RoadRunner scenarios via the MATLAB programmatic API and Simulink co-simulation.
When should I use Roadrunner Scenario Simulating?
Roadrunner Scenario Simulating fits situations like: the user wants to run a simulation; step through a simulation; control actors during co-simulation; retrieve simulation logs.
How do I install Roadrunner Scenario Simulating in Claude Code?
Run `npx skills add matlab/matlab-agentic-toolkit --skill roadrunner-scenario-simulating -a claude-code`. Or copy the skill folder (skills-catalog/automotive/roadrunner-scenario-simulating in matlab/matlab-agentic-toolkit) into .claude/skills/roadrunner-scenario-simulating in your project. Claude Code loads it when a task matches its description.
How do I install Roadrunner Scenario Simulating in Codex?
Run `npx skills add matlab/matlab-agentic-toolkit --skill roadrunner-scenario-simulating -a codex`. Or copy the skill folder (skills-catalog/automotive/roadrunner-scenario-simulating in matlab/matlab-agentic-toolkit) into .agents/skills/roadrunner-scenario-simulating in your project. Codex loads it when a task matches its description.
Can I use Roadrunner Scenario Simulating in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add matlab/matlab-agentic-toolkit --skill roadrunner-scenario-simulating -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/roadrunner-scenario-simulating, .gemini/skills/roadrunner-scenario-simulating, .github/skills/roadrunner-scenario-simulating and .opencode/skills/roadrunner-scenario-simulating in your project.
What does Roadrunner Scenario Simulating need to run?
SKILL.md names no scripts, command-line tools or credentials: Roadrunner Scenario Simulating is instructions for the agent only.
Does Roadrunner Scenario Simulating access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Roadrunner Scenario Simulating safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Roadrunner Scenario Simulating use?
Roadrunner Scenario Simulating has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does Roadrunner Scenario Simulating use?
About 5.6k tokens (SKILL.md is roughly 22k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.5k tokens, read only when the agent opens those files.
What are the alternatives to Roadrunner Scenario Simulating?
Skills that share tags, products or a category with Roadrunner Scenario Simulating: Matlab (K-Dense-AI/scientific-agent-skills, 48k stars), SEO Programmatic (sickn33/agentic-awesome-skills, 47k stars), Matlab (zLanqing/codex-claude-academic-skills, 4.6k stars) and Eas Simulator (sickn33/agentic-awesome-skills, 47k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Roadrunner Scenario Simulating?
matlab (a GitHub organization) maintains it in matlab/matlab-agentic-toolkit, which has 1,140 GitHub stars. The repository holds 142 skills in this directory. The repository was last updated on October 7, 2026.
Source: matlab/matlab-agentic-toolkit on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.