fluidsim
by K-Dense-AIfluidsim is a Scientific Python framework for computational fluid dynamics simulations. Use it for Navier-Stokes, shallow water, stratified flows, turbulence, vortex dynamics, and geophysical flows. It supports pseudospectral FFT methods, MPI/HPC workflows, configuration, execution, and post-processing.
This skill scores 78/100, which means it is a solid listing candidate for directory users who want a real CFD workflow rather than a generic prompt. The repository gives enough operational detail to help an agent recognize when to use it, install it, and start working with FluidSim with less guesswork, though it could still be clearer in a few adoption areas.
- Clear trigger scope for CFD tasks: 2D/3D Navier-Stokes, shallow water, stratified flows, turbulence, vortex dynamics, and geophysical flows are explicitly named.
- Strong operational substance: the SKILL.md is substantial, has valid frontmatter, multiple headings, and includes install steps plus workflow-oriented guidance for setup, simulation, and analysis.
- Good agent leverage: it describes concrete capabilities such as FFT-based pseudospectral methods, HPC/MPI support, and post-processing/visualization, which are useful for deciding whether to install.
- No install command in the skill frontmatter and no support files/scripts, so some execution details may still require reading the full document or external project knowledge.
- The repository appears to be a single skill file with no references/resources, so trust and adoption decisions rely mainly on the SKILL.md content rather than a broader usage ecosystem.
Overview of fluidsim skill
What fluidsim is for
The fluidsim skill helps you work with FluidSim, a Python framework for computational fluid dynamics. It is best for Scientific users who need to set up, run, and inspect PDE-based flow simulations rather than write a generic prompt about CFD. The core job is to move from a physical model to a runnable simulation and then interpret the outputs with less guesswork.
When this skill is a good fit
Use the fluidsim skill if you are working with periodic-domain flows such as 2D/3D Navier-Stokes, shallow water, stratified flows, turbulence, vortex dynamics, or geophysical flows. It is especially useful when you care about pseudospectral methods, FFT-based performance, and a Python workflow that still targets HPC-style execution.
What makes fluidsim different
The main value of the fluidsim skill is not just that it runs simulations, but that it supports the full loop: configuration, execution, and post-processing. If you need a skill that understands solver setup, parallel options, and analysis output, fluidsim is a better fit than a broad “physics simulation” prompt.
How to Use fluidsim skill
Install fluidsim and confirm the scope
For a standard fluidsim install, add the skill with:
npx skills add K-Dense-AI/claude-scientific-skills --skill fluidsim
Then check whether your use case needs FFT or MPI support. The repo’s install guidance favors uv-based package installs such as fluidsim[fft] or fluidsim[fft,mpi], so confirm your environment before you assume a minimal install will run your solver.
Start with the right input shape
The fluidsim usage pattern works best when you give the model a concrete simulation goal, not just “help me use fluidsim.” Strong inputs include:
- the equation family, for example Navier-Stokes or shallow water
- the domain type and dimensionality
- whether you need serial, MPI, or analysis-only help
- target resolution, forcing, viscosity, boundary assumptions, and output needs
Example prompt shape:
I want a fluidsim setup for 2D periodic Navier-Stokes turbulence with FFT support, 512^2 resolution, and post-processing for energy spectra. Show the config steps and any install flags I need.
Read the files that matter first
For a practical fluidsim guide, start with SKILL.md, then inspect the repo’s installation and setup section, runtime examples, and simulation workflow sections. If you are adapting the skill to another environment, read the file tree before copying any command so you do not miss compiler, MPI, or path assumptions.
Workflow tips that affect output quality
Treat fluidsim as a simulation workflow, not a one-shot command generator. Better results usually come from:
- specifying the solver family before asking for code
- separating install questions from runtime questions
- naming the output you want, such as plots, spectra, or stability checks
- telling the model whether you need a first-run example or a production-ready setup
fluidsim skill FAQ
Is fluidsim only for Scientific CFD work?
Yes, the fluidsim skill is aimed at Scientific fluid dynamics workflows. If your task is not about PDE-based flow simulation, post-processing, or HPC-style numerical modeling, a general Python or data-analysis skill will be a better fit.
Do I need more than a plain prompt?
Usually yes. A plain prompt can describe the topic, but the fluidsim skill is more useful when you need solver-aware guidance, install flags, and workflow-specific setup. It reduces the back-and-forth that often happens when FFT, MPI, or periodic-domain assumptions are left implicit.
Is fluidsim beginner-friendly?
It is beginner-friendly only if you already know the simulation you want to run. If you are still choosing between equations, discretizations, or domain assumptions, expect to spend time clarifying the physics before the skill can be used well.
When should I not use fluidsim?
Do not use fluidsim if you need non-periodic boundary conditions, a non-CFD project, or a quick high-level explanation without implementation detail. It is also not the right fit if you want a full workflow outside Python or outside pseudospectral CFD methods.
How to Improve fluidsim skill
Give the solver details up front
The most useful fluidsim skill improvements come from better problem framing. Include the equation set, dimensionality, domain, forcing, and expected runtime environment. For example, “2D shallow water on a periodic square with analysis of vorticity” is much better than “help with fluidsim.”
State the install and execution constraints
If your fluidsim install must work on a laptop, a cluster, or a container, say so early. Mention whether MPI is available, whether you can compile extensions, and whether you need FFT support. Those constraints change the correct setup path more than any generic preference does.
Ask for outputs you can verify
For better fluidsim usage, ask for concrete deliverables such as a minimal runnable config, a validation checklist, and a post-processing plan. If the first answer is too broad, iterate by asking for one solver example, one parameter file, or one analysis step at a time.