Run computational fluid dynamics simulations and post-process fluid flow outputs.
npx skills add https://github.com/dralkh/seerai --skill fluidsim-dralkh
Please help me install this Agent Skill. Skill: fluidsim Source: https://github.com/dralkh/seerai/tree/main/skills/fluidsim Command: npx skills add https://github.com/dralkh/seerai --skill fluidsim-dralkh
FluidSim helps researchers run high-performance fluid dynamics simulations without building a custom CFD workflow from scratch. It unifies solver setup, execution, checkpointing, and post-processing for periodic-domain flow problems.
Ask the skill to configure a FluidSim solver for your flow problem, run the simulation with the desired resolution and physical parameters, and summarize the outputs and analysis steps in plain language.
High-intent search queries and answers about installing and using this skill.
Running Navier-Stokes simulations for turbulence involves configuring an FFT-based pseudospectral solver with desired physical parameters, executing locally or via MPI, and inspecting saved fields and spectra to analyze turbulent fluid flow dynamics.
Setting up CFD simulations for stratified flows requires hierarchical parameter configuration to define the solver, then executing the run and using built-in post-processing to output physical fields, spectra, and spatial means for direct fluid flow analysis.
Yes, the pseudospectral solver supports MPI for cluster-scale parametric sweeps, allowing researchers to execute high-performance computational fluid dynamics simulations and restartable outputs across distributed computing environments.
Yes, you can analyze vortex dynamics and shallow water equations in both 2D and 3D. The built-in post-processing produces energy-budget outputs, physical fields, and spectra for interpreting these periodic-domain flow problems.
To restart a fluid dynamics simulation from a saved state, use the restartable outputs feature to load the checkpointed data, allowing you to resume execution of your turbulence or geophysical flow experiment without losing progress.
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