Fluidsim

A framework for running computational fluid dynamics simulations in Python with performance comparable to Fortran or C++. You get solvers for 2D/3D Navier-Stokes, shallow water equations, and stratified flows, all using pseudospectral methods with FFT. The workflow is straightforward: configure parameters via dot notation, instantiate a solver, run the simulation, then analyze outputs with built-in plotting for velocity fields, spectra, and spatial means. It supports MPI parallelization for large runs and includes forcing models to maintain turbulence. Good for turbulence studies, vortex dynamics, or geophysical flows where you want the interactivity of Python without sacrificing numerical performance. The parameter objects catch typos with AttributeError, which prevents silent configuration bugs.

Install to Claude Code

npx -y skills add k-dense-ai/scientific-agent-skills --skill fluidsim --agent claude-code