Fluidsim
Plan, configure, inspect, restart, and analyze bounded FluidSim computational-fluid-dynamics simulations with explicit numerical-validity and HPC safety checks. Use for FluidSim solver selection, parameter review, FFT/MPI setup, output diagnostics, or restart compatibility.
- Skill ID
- k-dense-ai/scientific-agent-skills/fluidsim
- Publisher
- k-dense-ai
- Repository
- scientific-agent-skills
- Installs
- 0
- Files
- 16
- License
- MIT
- Requires
- Bundled CLIs require Python 3.11+ and use the standard library; HDF5/netCDF4 metadata tools lazily use h5py when available. Simulation examples target fluidsim 0.9.0, fluidfft 0.4.5, and pyFFTW 0.15.1. MPI/native FFT use requires a site-compatible MPI implementation, development headers, FFTW/PFFT/P3DFFT libraries, compilers, and an approved scheduler workflow. No GPU backend is assumed.
- Synced
- Sep 23, 2026
Open any RiverX project, open the Skills panel in the chat, and search for this identifier. The files are fetched from the source repository at install time.
k-dense-ai/scientific-agent-skills/fluidsimInstalls these files- SKILL.md
- references/advanced_features.md
- references/installation.md
- references/output_analysis.md
- references/parameters.md
- references/simulation_workflow.md
- references/solvers.md
- scripts/__init__.py
- scripts/_common.py
- scripts/_schema.py
- scripts/budget_summary.py
- scripts/grid_resource_estimator.py
- scripts/output_inventory.py
- scripts/restart_compatibility.py
- scripts/simulation_dry_run.py
- scripts/solver_config_validator.py
What this skill tells the agent
FluidSim
Use FluidSim 0.9.0 as a framework for Python-defined numerical solvers, especially periodic Cartesian pseudospectral CFD. Upstream FluidSim is CeCILL-2.1; the MIT frontmatter license applies only to this skill.
This skill does not treat a completed run, a stable time step, a smooth plot, or a closed program exit as evidence of numerical convergence or physical validity.
Required workflow
- State equations, units or nondimensionalization, geometry, boundaries, initial conditions, forcing, observables, and acceptance criteria.
- Select a verified solver and inspect its generated default parameters.
- Create a strict JSON plan with explicit CPU, RAM, disk, wall-time, output-file, timestep, CFL, resolution, and dealiasing bounds.
- Run the bundled validator and resource estimator.
- Generate and review a dry-run script. It does nothing unless executed with an explicit config-ID acknowledgement.
- Run one tiny serial pilot. Inspect budgets, divergence/constraints, spectral tails, CFL/time-step history, and output growth.
- Refine grid and time step independently. Check conservation/budget residuals and observable sensitivity.
- Only then prepare a site-specific MPI job. Never submit or launch MPI automatically.
- Preserve config, script,
uv.lock, package/platform/backend versions, logs, output inventory, checksums, and restart lineage.
Stop if physical assumptions, units, boundary conditions, forcing semantics, resolution criteria, resource limits, or acceptance criteria are missing.
Version and installation
As verified on 2026-07-23:
- Latest stable PyPI release:
fluidsim==0.9.0(2025-12-04). - Package metadata requires Python
>=3.11and lists Python 3.11–3.14. - Pseudospectral parameter creation needs FluidFFT; bare
fluidsimimported in the smoke test, butns2d.create_default_params()failed until thefftextra was installed. - Current companion versions tested here:
fluidfft==0.4.5andpyFFTW==0.15.1.
Prefer a project lock:
uv init --python 3.11
uv add "fluidsim[fft]==0.9.0" "fluidfft==0.4.5" "pyFFTW==0.15.1"
uv lock
uv sync --frozenFor an isolated disposable environment:
uv venv --python 3.11
uv pip install "fluidsim[fft]==0.9.0" "fluidfft==0.4.5" "pyFFTW==0.15.1"The project lock is the reproducibility record; direct pins alone do not freeze all transitive artifacts. Do not reuse a lock across incompatible platforms or MPI ABIs.
MPI is optional and native:
uv add "mpi4py==4.1.2" "fluidfft-mpi-with-fftw==0.0.1" "fluidfft-fftwmpi==0.0.1"
uv lockThose packages still require a compatible MPI runtime and FFTW development libraries. The optional native plugins are:
fluidfft-fftw==0.0.1: sequentialfft2d.with_fftw1d,fft2d.with_fftw2d,fft3d.with_fftw3d.fluidfft-mpi-with-fftw==0.0.1: MPIfft2d.mpi_with_fftw1d,fft3d.mpi_with_fftw1d.fluidfft-fftwmpi==0.0.1: MPI-enabled FFTWfft2d.mpi_with_fftwmpi2d,fft3d.mpi_with_fftwmpi3d.fluidfft-p3dfft==0.0.1:fft3d.mpi_with_p3dfft; requires P3DFFT.- FluidFFT also declares PFFT and P3DFFT extras; audit and pin their native stacks for the target cluster.
FluidFFT documents cuFFT historically, but FluidFFT 0.4.5 declares no CUDA extra or installed GPU plugin in its package metadata, and its CUDA installation page is unfinished. Do not claim GPU acceleration or install an unrelated CUDA wheel as a FluidSim backend. Treat GPU work as source-level experimental integration requiring separate validation.
See installation for system dependencies, MPI ABI, HDF5-MPI, backend discovery, and verification.
API snapshot
Use direct, versioned imports:
from fluidsim.solvers.ns2d.solver import Simul
params = Simul.create_default_params()
params.oper.nx = params.oper.ny = 32
params.oper.Lx = params.oper.Ly = 2 * 3.141592653589793
params.oper.coef_dealiasing = 2 / 3
params.time_stepping.USE_CFL = True
params.time_stepping.cfl_coef = 0.5
params.time_stepping.deltat0 = 0.001
params.time_stepping.deltat_max = 0.01
params.time_stepping.t_end = 0.1
params.time_stepping.max_elapsed = "00:05:00"
params.init_fields.type = "noise"
params.init_fields.noise.velo_max = 0.01
params.output.HAS_TO_SAVE = False
params.output.ONLINE_PLOT_OK = FalseImportant 0.9 corrections:
- CFL field:
params.time_stepping.cfl_coef, notCFL. - Time-correlated forcing:
params.forcing.tcrandom.time_correlation, not a flattcrandom_time_correlation. - NS2D default initial types include
constant,noise,jet,dipole,from_file,from_simul, andin_script; do not invent a universal list for every solver. - Output state files default to
state_phys_t*.nc; spectra usespectra1D.h5/spectra2D.h5; scalar means are solver-dependentspatial_means.txtor JSON-lines. params.output.sub_directoryis relative underFLUIDSIM_PATH.
ParamContainer rejects undeclared attributes. Always generate defaults from the selected Simul class and inspect them before changing values. See parameters.
Solvers
Primary Cartesian CFD keys and imports:
from fluidsim.solvers.ns2d.solver import Simul # ns2d
from fluidsim.solvers.ns2d.bouss.solver import Simul # ns2d.bouss
from fluidsim.solvers.ns2d.strat.solver import Simul # ns2d.strat
from fluidsim.solvers.ns3d.solver import Simul # ns3d
from fluidsim.solvers.ns3d.bouss.solver import Simul # ns3d.bouss
from fluidsim.solvers.ns3d.strat.solver import Simul # ns3d.stratThe 0.9 registry also includes plate2d, sw1l variants, waves2d, 1D models, 0D models, spherical solvers, and framework adapters. Availability in the registry does not make a solver appropriate for a scientific question. Verify equations, variables, geometry, boundaries, and diagnostics in the solver source. See solvers.
Forcing and time advancement
Forcing is solver-specific. A current normalized random example is:
params.forcing.enable = True
params.forcing.type = "tcrandom"
params.forcing.forcing_rate = 1.0
params.forcing.nkmin_forcing = 4
params.forcing.nkmax_forcing = 5
params.forcing.tcrandom.time_correlation = "based_on_forcing_rate"Record the forced variable, normalization definition, wave-number band, random seed/state, injection target, and measured injection. FluidSim 0.9 saves state parameters for restart; 0.8.6 fixed time-correlated forcing restart behavior.
Available pseudospectral schemes include Euler/RK2 phase-shift variants, RK2_trapezoid, and RK4. A named order does not establish accuracy. Check CFL, fast-wave/diffusive limits, deltat_max, and time-step refinement. See advanced features.
Outputs, loading, and restart
For read-only analysis:
from fluidsim import load_sim_for_plot
sim = load_sim_for_plot("run-directory", hide_stdout=True)
sim.output.spatial_means.plot()
sim.output.spectra.plot1d()
sim.output.phys_fields.plot(time=1.0)load_sim_for_plot uses a coarse operator and disables saving/online plotting. For a state-bearing object:
from fluidsim import load_state_phys_file
sim = load_state_phys_file("run-directory", t_approx="last")For a controlled restart, prefer load_for_restart or first run fluidsim-restart --only-check. Do not use --modify-params with untrusted text: the upstream CLI executes Python code supplied to that option. This skill's generator never emits it. Verify solver, grid/domain, state variables, versions, forcing state, checksum, target time, output destination, and resource bounds. Resolution changes require the dedicated reviewed workflow, not a silent grid edit. See simulation workflow and output analysis.
Scientific acceptance gate
Before interpreting results, require:
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