fluidsim

Run 2D/3D Navier-Stokes and stratified flow simulations with MPI parallelization.

Updated Mar 15, 2026
One-click install
npx skills add https://github.com/sagunkayastha/claude_skills_collection --skill fluidsim-sagunkayastha
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: fluidsim
Source: https://github.com/sagunkayastha/claude_skills_collection/tree/main/engineering-simulation/fluidsim
Command: npx skills add https://github.com/sagunkayastha/claude_skills_collection --skill fluidsim-sagunkayastha

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill simplifies the process of setting up, running, and analyzing complex computational fluid dynamics (CFD) simulations, making high-performance fluid dynamics accessible through Python.

Core Features & Use Cases

  • CFD Solvers: Offers solvers for Navier-Stokes (2D/3D), stratified flows, and shallow water equations.
  • High Performance: Utilizes pseudospectral methods with FFT and supports MPI for parallel computing.
  • Use Case: Simulate atmospheric turbulence in a stratified environment or analyze vortex dynamics in a 2D turbulent flow.

Quick Start

Use the fluidsim skill to run a 2D Navier-Stokes simulation with viscosity 1e-3 and end time 10.0.

Frequently Asked Questions about fluidsim

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

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

You can run CFD simulations using pseudospectral methods by setting up a Python framework that solves 2D/3D Navier-Stokes equations with FFT. It allows configuring parameters like viscosity and end time to execute computational fluid dynamics.

Can I use MPI for parallel computing in Python fluid dynamics simulations?

Yes, MPI is supported for parallel computing in Python fluid dynamics simulations. This enables high-performance execution of pseudospectral CFD solvers across distributed HPC environments.

What types of fluid dynamics equations can I solve with a Python CFD framework?

You can solve 2D and 3D Navier-Stokes equations, stratified flows, and shallow water equations using a Python CFD framework. These solvers support analyzing atmospheric turbulence and vortex dynamics.

Does pseudospectral CFD analysis provide spatial means and physical field outputs?

Pseudospectral CFD analysis provides detailed simulation outputs including physical fields, spatial means, and spectra. This enables comprehensive analysis of fluid dynamics behavior in 2D and 3D environments.

Is Python suitable for high-performance computational fluid dynamics?

Python is suitable for high-performance computational fluid dynamics when using pseudospectral methods with FFT and MPI parallelization. This combination makes complex CFD simulations accessible without lower-level languages.

What is the best way to simulate atmospheric turbulence in a stratified environment?

The best way to simulate atmospheric turbulence in a stratified environment is using a Python CFD framework with pseudospectral solvers. It handles stratified flow equations and outputs physical fields for detailed analysis.