Automate high-performance CFD simulations in Python with MPI parallelization.
npx skills add https://github.com/Hung-3008/agusta --skill fluidsim-hung-3008
Please help me install this Agent Skill. Skill: fluidsim Source: https://github.com/Hung-3008/agusta/tree/main/.agents/skills/fluidsim Command: npx skills add https://github.com/Hung-3008/agusta --skill fluidsim-hung-3008
FluidSim provides a Python-based framework to design, run, and analyze high-fidelity CFD simulations, reducing setup and workflow friction for researchers and engineers.
Configure a fluidsim simulation by selecting a solver, setting resolution and physics in the parameters, and start the time integration to obtain results.
High-intent search queries and answers about installing and using this skill.
High-performance CFD simulations in Python are executed by configuring resolution and physics parameters, instantiating a simulation, and starting time integration to obtain fluid flow results. This framework automates reproducible setup, execution, and analysis of turbulence and geophysical flows.
Navier-Stokes and stratified flow simulations are supported through multiple built-in solvers, including 2D/3D Navier-Stokes, stratified, and shallow-water configurations. These solvers use pseudospectral methods with FFT to resolve fluid dynamics and turbulence effectively.
MPI parallelization is fully supported for large-scale fluid flow simulations, allowing researchers to distribute workloads across cores. This enables high-performance execution of complex 2D and 3D turbulence or geophysical modeling without bottlenecking on single-thread processing.
Post-processing and visualization workflows for pseudospectral CFD are configured using the built-in analysis tools after time integration. The framework provides extensive parameter configuration and hierarchical Parameters objects to enforce parameter safety while analyzing simulation outputs.
Reproducible geophysical fluid modeling is achieved by using a hierarchical Parameters object that enforces parameter safety across the simulation setup. This ensures that 2D/3D Navier-Stokes, stratified, and shallow-water runs remain consistent and verifiable.
Python CFD supports shallow-water and stratified solvers specifically designed for turbulence and geophysical applications. These solvers integrate pseudospectral FFT methods and MPI parallelization to handle high-fidelity fluid flow analysis efficiently.
LogauaEngstromRun CFD simulations with FluidSim pseudospectral solvers and MPI parallelization.
pur3v4d3rConfigure and analyze 2D/3D Navier–Stokes CFD simulations with pseudospectral FFT solvers.
robinbarvaagRun pseudospectral CFD simulations of Navier-Stokes, stratified, and shallow water equations.
crazymsnRun MPI-parallelized pseudospectral CFD simulations for 2D/3D Navier–Stokes, shallow water, and stratified flows.
