Automate FluidSim CFD simulation setup, execution, and analysis for periodic-domain flows.
npx skills add https://github.com/shushuzn/Rairos --skill fluidsim-shushuzn
Please help me install this Agent Skill. Skill: fluidsim Source: https://github.com/shushuzn/Rairos/tree/main/skills/fluidsim Command: npx skills add https://github.com/shushuzn/Rairos --skill fluidsim-shushuzn
FluidSim helps you set up, run, and post-process computational fluid dynamics simulations without manually assembling a full CFD workflow.
Use case: You need to study how energy cascades and turbulence evolve in a 2D Navier-Stokes flow, then plot spectra and vorticity from saved outputs for comparison across viscosities and resolutions.
Tell the AI to run a 2D Navier-Stokes turbulence simulation with FluidSim (FFT-enabled) by importing the ns2d solver, creating default parameters, setting nx=ny=256, choosing Lx=Ly=2*pi, configuring nu_2 and t_end, and starting time-stepping for subsequent plotting of vorticity and spectra.
High-intent search queries and answers about installing and using this skill.
Run a 2D Navier-Stokes turbulence simulation in Python by importing the ns2d solver, creating default parameters, setting grid dimensions like nx=ny=256, configuring viscosity and t_end, and starting time-stepping for subsequent plotting of vorticity and spectra.
A pseudospectral CFD solver uses FFT-based methods to solve periodic-domain fluid equations. You need it when studying turbulence, energy cascades, or geophysical dynamics like shallow water and stratified buoyancy-driven flows in idealized periodic boundaries.
Yes, you can simulate 3D Navier-Stokes and stratified buoyancy-driven flows using FFT by selecting the ns3d or strat solver keys. You configure the parameters via a YAML-instructed workflow and enable optional FFT and MPI feature flags.
Compute turbulence diagnostics like spectra and spatial means from CFD outputs by using FluidSim's built-in post-processing modules. These structured output modules analyze saved fields to plot vorticity and compare energy cascades across viscosities and resolutions.
Yes, Python CFD simulation supports MPI for high-performance turbulence computing through optional FFT and MPI feature flags in the parameter configuration, allowing you to scale pseudospectral solvers for periodic-domain flows.
FFT-based CFD solvers for periodic-domain flows are limited to idealized periodic boundaries, meaning they cannot model complex real-world geometries. They are best suited for fundamental turbulence studies, shallow-water dynamics, and stratified flows rather than applied engineering design.
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