fluidsim

Run MPI-parallelized pseudospectral CFD simulations for 2D/3D Navier–Stokes, shallow water, and stratified flows.

22|4|Updated May 25, 2026
One-click install
npx skills add https://github.com/crazymsn/academic-skills --skill fluidsim-crazymsn
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: fluidsim
Source: https://github.com/crazymsn/academic-skills/tree/main/academic-skills/fluidsim
Command: npx skills add https://github.com/crazymsn/academic-skills --skill fluidsim-crazymsn

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

FluidSim provides a high-performance, Python-based framework for performing computational fluid dynamics (CFD) simulations using pseudospectral methods. It enables scalable solvers (2D/3D Navier–Stokes, shallow water, stratified flows) with MPI parallelization, streamlined parameter configuration, and integrated post-processing to analyze outputs.

Core Features & Use Cases

  • High-performance pseudospectral CFD solvers with MPI parallelization
  • Comprehensive workflow: parameter configuration, simulation execution, and post-processing
  • Supports 2D/3D Navier–Stokes, stratified flows, and shallow water with multiple solvers

Quick Start

Configure parameters with the default parameter set, instantiate FluidSim's solver, and start the time stepping to run a CFD simulation.

Frequently Asked Questions about fluidsim

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I run high-performance CFD simulations using pseudospectral methods in Python?

Run high-performance CFD simulations in Python by configuring parameters with a default set, instantiating a pseudospectral solver, and starting time stepping for 2D/3D Navier–Stokes or shallow water flows.

Can I use MPI parallelization for 2D and 3D Navier–Stokes fluid simulations?

Yes, MPI parallelization is supported for scalable 2D and 3D Navier–Stokes fluid simulations, enabling efficient execution of pseudospectral solvers across computing clusters.

What is the best way to configure parameters and post-process stratified flow outputs?

Configure parameters using a default set and leverage built-in post-processing utilities to comprehensively analyze stratified flow outputs after simulation execution.

Does pseudospectral CFD in Python support shallow water and stratified flow solvers?

Yes, pseudospectral CFD in Python supports multiple solvers including shallow water and stratified flows, alongside 2D/3D Navier–Stokes equations for diverse fluid dynamics analysis.

What are the limitations of using pseudospectral solvers for computational fluid dynamics?

Pseudospectral solvers for computational fluid dynamics require specific boundary conditions suitable for spectral methods and depend on MPI parallelization for scaling to large 3D domains.