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.
npx skills add K-Dense-AI/scientific-agent-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 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 1. State equations, units or nondimensionalization, geometry, boundaries, initial conditions, forcing, observables, and acceptance criteria. 2. Select a verified solver and inspect its generated default parameters. 3. Create a strict JSON plan with explicit CPU, RAM, disk, wall-time, output-file, timestep, CFL, resolution, and dealiasing bounds. 4. Run the bundled validator and resource estimator. 5. Generate and review a dry-run script. It does nothing unless executed with an explicit config-ID acknowledgement. 6. Run one tiny serial pilot. Inspect budgets, divergence/constraints, spectral tails, CFL/time-step history, and output growth. 7. Refine grid and time step independently. Check conservation/budget residuals and observable sensitivity. 8. Only then prepare a site-specific
- Required workflow
- Version and installation
- API snapshot
- Solvers
- Forcing and time advancement
- Outputs, loading, and restart
- Scientific acceptance gate
- Bundled local tools
- References
- Dated upstream basis
uv init --python 3.11 uv add "fluidsim[fft]==0.9.0" "fluidfft==0.4.5" "pyFFTW==0.15.1" uv lock uv sync --frozen uv venv --python 3.11 uv pip install "fluidsim[fft]==0.9.0" "fluidfft==0.4.5" "pyFFTW==0.15.1" uv add "mpi4py==4.1.2" "fluidfft-mpi-with-fftw==0.0.1" "fluidfft-fftwmpi==0.0.1" python3 scripts/solver_config_validator.py --example python3 scripts/solver_config_validator.py --config config.json python3 scripts/grid_resource_estimator.py --config config.json
What does the fluidsim skill do?
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.
How do I install it?
Run `npx skills add K-Dense-AI/scientific-agent-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 K-Dense-AI/scientific-agent-skills, a repository with 32,619 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.