matlab-simulate-simbiology-model
OfficialSimulate SimBiology models with confidence
Software Engineering#simulation#scenarios#sensitivity analysis#stochastic#matlab#simbio#sbiosimulate
Authormatlab
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill helps you accurately simulate SimBiology models and produce reliable time-course outputs by handling common pitfalls that lead to incorrect results or simulation failures.
Core Features & Use Cases
- Deterministic and stochastic simulation: Run ODE-based simulations or stochastic (SSA) trajectories for systems with noise or low molecule counts.
- Scenario and what-if exploration: Compare dose levels, variants, and parameter changes using SimBiology.Scenarios.
- Sensitivity analysis workflows: Quantify influential parameters using Sobol, Morris, or local sensitivity via configset settings.
- Guardrails for SimBiology correctness: Enforce required rules for observables, logging configuration, SSA MassAction constraints, scenario construction, sensitivity option resets, wall-clock timeouts, and unit conversion (TimeUnits).
Quick Start
Ask the agent to simulate the attached SimBiology model for 24 hours using the appropriate solver, then report the Drug amount and any key observables you request.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: matlab-simulate-simbiology-model Download link: https://github.com/matlab/matlab-agentic-toolkit/archive/main.zip#matlab-simulate-simbiology-model Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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