simweave

Use this skill whenever the user asks for help building, running, debugging, or visualising simulations with the SimWeave Python library (`pip install simweave`). Triggers include any mention of: simweave, SimWeave, the EdgeWeave companion app, hybrid discrete/continuous simulation, Monte Carlo with `MCResult`/`run_monte_carlo`/`run_batched_mc`, queueing/Service/Queue/PriorityQueue/ArrivalGenerator, Resource/ResourcePool, supply-chain Warehouse/InventoryItems, agent routing on a Graph with A*/dijkstra, continuous dynamic systems (mass-spring-damper, pendulum, RLC, thermal, quarter-car, half-car, full-car) using `simulate(...)`, PID control via `PIDController`, fault injection / predictive maintenance datasets via `FaultInjector`/`FaultProfile`/`ParameterFault`/`FaultDataset`/`FaultRecorder`, `Money` and FX conversion via `simweave.currency`, plotly figures via `simweave.viz`, time-sampled recorders (`QueueLengthRecorder`, `ServiceUtilisationRecorder`, `WarehouseStockRecorder`, `RoadOccupancyRecorder`, `Inters