fluidsim
Framework for computational fluid dynamics simulations using Python. Use when running fluid dynamics simulations including Navier-Stokes equations (2D/3D), shallow water equations, stratified flows, or when analyzing turbulence, vortex dynamics, or geophysical flows. Provides pseudospectral methods with FFT, HPC support, and comprehensive output analysis.
npx skills add foryourhealth111-pixel/Vibe-Skills --skill fluidsim --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# FluidSim ## Routing Boundary Use this skill only for FluidSim or explicit CFD workflows such as Navier-Stokes, turbulence, shallow-water, stratified-flow, or pseudospectral fluid simulations. Do not use it for CSS fluid layouts, responsive design, generic Python simulation, generic PDE solving, or non-FluidSim numerical physics work. ## Overview FluidSim is an object-oriented Python framework fo
What does the fluidsim skill do?
Framework for computational fluid dynamics simulations using Python. Use when running fluid dynamics simulations including Navier-Stokes equations (2D/3D), shallow water equations, stratified flows, or when analyzing turbulence, vortex dynamics, or geophysical flows. Provides pseudospectral methods with FFT, HPC support, and comprehensive output analysis.
How do I install it?
Run `npx skills add foryourhealth111-pixel/Vibe-Skills --skill fluidsim --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From foryourhealth111-pixel/Vibe-Skills, a repository with 2,593 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.