Agent skill · AI & Agents

matlab-simulate-simbiology-model

Simulate SimBiology models — ODE, stochastic (SSA), scenarios, and sensitivity analysis. Use when asked to run, simulate, predict, explore what-if, or identify influential parameters.

matlabgithub.com/matlabGitHub ↗
claude-codecodexcopilotNOASSERTION
Install
npx skills add matlab/matlab-agentic-toolkit --skill matlab-simulate-simbiology-model --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 5
SKILL.md size: 15 KB
Bundled scripts: none
Version: 1.2
Declared author: MathWorks
Path: skills-catalog/computational-biology/matlab-simulate-simbiology-model/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 868
Language: MATLAB

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Simulate SimBiology Models Run simulations of SimBiology models: deterministic ODE, stochastic SSA, scenario exploration, and sensitivity analysis. ## When to Use - "simulate", "run", "predict" model behavior - "what if" / "what happens if" (implies simulation or scenarios) - Time-course results from a model - Dose-response studies, parameter sweeps, factorial designs - Stochastic, SSA, Gillespie, noise, gene expression variability - "which parameters matter most", sensitivity, Sobol, Morris - Keywords: "simulate", "run", "predict", "what-if", "stochastic", "sensitivity" ## When NOT to Use - Model construction or diagram layout (use `matlab-build-simbiology-model`) - Parameter estimation from data (use `matlab-fit-simbiology-model`) - NCA / AUC / Cmax from data (use `matlab-fit-simbiology-model`) ## Must-Follow Rules ### 0. Add helper scripts to the MATLAB path first Run at the start of every session: ```matlab addpath(fullfile('<WORKSPACE_ROOT>', '.claude', 'skills', 'matlab-simulate-simbiology-model', 'scripts')); ``` ### 1. Element-wise operators in observables Use `./` and `.*` (element-wise) in observable expressions when mixing time-varying species with constant parameters.

What's inside
Steps it walks through
  1. When to Use
  2. When NOT to Use
  3. Must-Follow Rules
  4. 0. Add helper scripts to the MATLAB path first
  5. 1. Element-wise operators in observables
  6. 2. StatesToLog for constant parameters
  7. 3. All reactions must be MassAction for SSA
  8. 4. Do NOT combine Scenarios with +
  9. 5. Reset local sensitivity options after use
  10. 6. Set MaximumWallClock to prevent hung simulations
  11. 7. Unit conversion requires TimeUnits
  12. 8. Scenario results are interleaved, not blocked
  13. Decision Table
  14. Basic Simulation (sbiosimulate)
Ships with 4 files
  • manifest.yaml
  • references/sensitivity-analysis-guidance.md
  • references/stochastic-simulation-guidance.md
  • scripts/getModelByUUID.m
More from matlab-agentic-toolkit
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About this skill
What does the matlab-simulate-simbiology-model skill do?

Simulate SimBiology models — ODE, stochastic (SSA), scenarios, and sensitivity analysis. Use when asked to run, simulate, predict, explore what-if, or identify influential parameters.

How do I install it?

Run `npx skills add matlab/matlab-agentic-toolkit --skill matlab-simulate-simbiology-model --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From matlab/matlab-agentic-toolkit, a repository with 868 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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