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fluidsim

Run Python-based computational fluid dynamics simulations with Navier-Stokes solvers.

Updated Dec 17, 2025
Search Tags:#python#simulation#CFD#fluid dynamics#computational fluid dynamics
One-click install
npx skills add https://github.com/robotlearning123/claude-scientific-skills --skill fluidsim-robotlearning123
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: fluidsim
Source: https://github.com/robotlearning123/claude-scientific-skills/tree/main/scientific-skills/fluidsim
Command: npx skills add https://github.com/robotlearning123/claude-scientific-skills --skill fluidsim-robotlearning123

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires fluidsim, pyfftw, mpi4py, and includes scripts (resource) and references (resource) components.

What problem does it solve?

FluidSim addresses the complex task of running computational fluid dynamics (CFD) simulations, which can be computationally intensive and require specialized knowledge.

Core Features & Use Cases

  • High-Performance CFD Framework: Offers solvers for Navier-Stokes, shallow water, and stratified flows with performance comparable to Fortran/C++.
  • Comprehensive Workflow: From parameter configuration to simulation execution and output analysis.
  • Use Case: Ideal for researchers and engineers in fluid dynamics, where accurate simulations of turbulent, vortex dynamics, and geophysical flows are essential.

Quick Start

To start a simulation, first import the solver:

from fluidsim.solvers.ns2d.solver import Simul

Then, configure parameters and create a simulation object, followed by executing the simulation.

Frequently Asked Questions about fluidsim

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

FAQPage Schema
How do I run computational fluid dynamics simulations in Python?▼

To run computational fluid dynamics simulations in Python, import a specific solver like the Navier-Stokes solver, configure your simulation parameters, create a simulation object, and execute the simulation to analyze turbulent or geophysical flows.

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

A Python CFD framework provides solvers for Navier-Stokes, shallow water, and stratified flows, making it ideal for simulating turbulent flows, vortex dynamics, and geophysical flows in research and engineering contexts.

Does Python CFD simulation performance compare to Fortran or C++?▼

Python-based CFD simulations can achieve performance comparable to Fortran or C++ by utilizing high-performance computing libraries and parallel processing, enabling efficient execution of intensive fluid dynamics calculations.

Do I need MPI and pyfftw for parallel computational fluid dynamics in Python?▼

Yes, you need mpi4py for parallel computing and pyfftw for fast Fourier transforms to execute high-performance computational fluid dynamics simulations, along with the core fluidsim framework.

What is the best way to simulate turbulent and stratified flows in Python?▼

The best way to simulate turbulent and stratified flows in Python is using a dedicated CFD framework that offers specialized solvers, comprehensive workflow configuration, and parallel computing support for accurate results.

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