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Framework for computational fluid dynamics simulations using Python.
Passed 20 of 22 test cases with the skill, and 12 of 22 without it.
and 11 more in the full report
8 fixed12 passed either way2 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 8 test cases the skill fixed. Same model, same prompt, with and without the skill.
In a FluidSim script, what specific parameter attribute names are used to enable dynamic CFL-based adaptive time stepping and set the maximum CFL safety coefficient to 0.5?
| Checked | Without skill | With skill |
|---|---|---|
| Sets params.time_stepping.USE_CFL = True | Passed | Passed |
| Sets params.time_stepping.CFL = 0.5 | Missed | Passed |
The instructions your model reads when the skill loads.
FluidSim is an object-oriented Python framework for high-performance computational fluid dynamics (CFD) simulations. It provides solvers for periodic-domain equations using pseudospectral methods with FFT, delivering performance comparable to Fortran/C++ while maintaining Python's ease of use.
Key strengths:
Install fluidsim using uv with appropriate feature flags:
# Basic installation
uv pip install fluidsim
# With FFT support (required for most solvers)
uv pip install "fluidsim[fft]"
# With MPI for parallel computing
uv pip install "fluidsim[fft,mpi]"
Set environment variables for output directories (optional):
export FLUIDSIM_PATH=/path/to/simulation/outputs
export FLUIDDYN_PATH_SCRATCH=/path/to/working/directory
No API keys or authentication required.
See references/installation.md for complete installation instructions and environment configuration.
test cases passed, vs 12 / 22 without
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