fluidsim

Run pseudospectral CFD simulations with FFT and MPI parallelization.

8|Updated Nov 19, 2025
One-click install
npx skills add https://github.com/sanand0/scientific-research --skill fluidsim-sanand0
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: fluidsim
Source: https://github.com/sanand0/scientific-research/tree/main/.claude/skills/fluidsim
Command: npx skills add https://github.com/sanand0/scientific-research --skill fluidsim-sanand0

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill provides a powerful, object-oriented Python framework for running high-performance computational fluid dynamics (CFD) simulations, simplifying complex tasks like solving Navier-Stokes equations.

Core Features & Use Cases

  • Multiple Solvers: Supports 2D/3D Navier-Stokes, stratified flows, and shallow water equations.
  • High Performance: Utilizes pseudospectral methods with FFT and MPI for parallel computing.
  • Complete Workflow: Handles parameter configuration, simulation execution, and output analysis.
  • Use Case: Simulate turbulent flow in a 3D domain or model oceanic currents with stratification.

Quick Start

Use the fluidsim skill to run a 2D Navier-Stokes simulation with a resolution of 256x256 and a viscosity of 1e-3.

Frequently Asked Questions about fluidsim

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

FAQPage Schema
How do I solve Navier-Stokes equations for turbulent flow in Python?

You can solve Navier-Stokes equations for 2D or 3D turbulent flow using this Python framework, which utilizes high-performance pseudospectral methods with FFT to simulate fluid dynamics directly.

Can I use MPI parallelization for large-scale computational fluid dynamics simulations?

Yes, this computational fluid dynamics framework supports MPI parallelization, allowing you to run large-scale pseudospectral simulations efficiently across distributed computing environments for high-performance analysis.

What is the best way to model geophysical and stratified flows in Python?

To model stratified flows and geophysical oceanic currents, you can use this framework's specialized solvers for shallow water and stratified equations to analyze complex vortex dynamics and turbulence.

Does this fluid dynamics framework provide tools for output analysis after simulation?

Yes, the framework provides a complete workflow that handles parameter configuration, simulation execution, and comprehensive output analysis, enabling you to evaluate fluid dynamics results directly.

How do I set up a 2D fluid dynamics simulation with specific resolution and viscosity parameters?

You can configure a 2D Navier-Stokes simulation by setting parameters like a 256x256 resolution and 1e-3 viscosity directly within the Python framework to execute your fluid dynamics modeling.

What are the limitations of using pseudospectral methods for fluid dynamics?

Pseudospectral methods using FFT excel at resolving turbulence and vortex dynamics in fluid dynamics, but they are typically constrained to periodic boundary conditions and regular grid domains.