Fluidsim
ListedFluidsim simulates fluid dynamics for various scenarios, offering valuable insights for design and analysis where accurate flow behavior is crucial.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add davila7/claude-code-templates --skill fluidsim -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
davila7
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Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
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About this skill
The fluidsim skill enables AI agents to perform computational fluid dynamics (CFD) simulations directly within their environment. It allows users to define geometry, set boundary conditions, and execute physics-based flow analysis without external software dependencies.
When to use it
- Analyze airflow patterns around custom 3D objects for aerodynamic optimization.
- Simulate heat transfer and fluid mixing in chemical engineering processes.
- Validate structural integrity of designs by modeling stress under fluid pressure loads.
- Rapidly prototype hydrodynamic behaviors for marine or automotive applications.
Key capabilities
- Generates meshed computational grids for complex geometries automatically.
- Solves Navier-Stokes equations to predict velocity, pressure, and temperature fields.
- Supports various boundary conditions including inlet, outlet, walls, and symmetry planes.
- Visualizes simulation results through vector plots, contour maps, and streamlines.
Example prompts
- "Run a steady-state CFD simulation on this cylinder shape with air flowing at 20 m/s."
- "Set up a transient fluid dynamics model to observe how dye disperses in a stirred tank."
- "Calculate the drag coefficient for this wing profile by simulating airflow at Mach 0.8."
Tips & gotchas
Ensure your input geometry is watertight and properly closed before initiating a simulation, as gaps can cause solver errors. For highly turbulent flows, specify appropriate turbulence models (e.g., k-epsilon or k-omega) to improve accuracy.