Simulate 2D/3D Navier–Stokes, shallow water, and stratified flows with MPI and FFT solvers.
npx skills add https://github.com/ovachiever/droid-tings --skill fluidsim
Please help me install this Agent Skill. Skill: fluidsim Source: https://github.com/ovachiever/droid-tings/tree/main/skills/fluidsim Command: npx skills add https://github.com/ovachiever/droid-tings --skill fluidsim
FluidSim provides Python-based CFD tooling for periodic-domain simulations (2D/3D Navier–Stokes, shallow water, stratified flows) with pseudospectral methods and MPI parallelization, enabling high-performance simulations with Python usability.
Install fluidsim with optional FFT and MPI support, configure parameters, and run a sample simulation.
High-intent search queries and answers about installing and using this skill.
Navier-Stokes simulations in Python are performed using pseudospectral FFT methods with FluidSim, which supports 2D and 3D periodic-domain flows. Install FluidSim with FFT support, configure solver parameters (ns2d or ns3d), and execute the simulation end-to-end with built-in post-processing.
Yes, FluidSim enables MPI parallelization for high-performance CFD workflows. The framework distributes pseudospectral computations across nodes, allowing large-scale simulations of Navier-Stokes and shallow-water flows without leaving Python.
FluidSim supports six solver types: ns2d and ns3d for Navier-Stokes, ns2d.strat and ns3d.strat for stratified flows, sw1l for shallow water, and fvk for vortex dynamics. Each uses pseudospectral FFT methods optimized for periodic domains.
FluidSim provides comprehensive post-processing and visualization tools in Python after simulation. Extract energy spectra, turbulent statistics, and vortex dynamics from output data using interactive analysis workflows.
Yes, FluidSim is designed for geophysical and engineering domains including stratified flows and shallow-water equations. Its multi-solver architecture and parametric HPC capabilities suit atmospheric, oceanic, and environmental flow modeling.
FluidSim requires Python and optional FFT and MPI libraries for high-performance execution. The object-oriented architecture and hierarchical parameter configuration enable rapid setup without external C/C++ dependencies.
K-Dense-AIRun scalable CFD simulations with FluidSim pseudospectral solvers in Python.
LeonChaoXSimulate periodic-domain fluid flows with a Python pseudospectral FFT framework.
qinyan-aiExecute pseudospectral CFD simulations of Navier-Stokes, shallow water, and stratified flows in Python.
SciMate-AIRun pseudospectral CFD simulations in Python with MPI parallelization.
