Framework for computational fluid dynamics simulations using Python. Use when running fluid dynamics simulations including Navier-Stokes equations (2D/3D), shallow water equations, stratified flows, or when analyzing turbulence, vortex dynamics, or geophysical flows. Provides pseudospectral methods with FFT, HPC support, and comprehensive output analysis.
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Exceptional skill for computational fluid dynamics. The description perfectly captures when to use this skill (Navier-Stokes, turbulence, geophysical flows). SKILL.md provides complete executable workflows with all necessary imports, parameter configuration, and analysis code. The structure is exemplary: concise main file with clear sections and well-organized references for deeper details. Task knowledge is comprehensive, covering installation, multiple solvers, parameter hierarchies, output analysis, and MPI parallelization. The four detailed use cases are immediately runnable. Novelty is strong—CFD simulations require specialized domain knowledge, complex FFT-based pseudospectral methods, and HPC considerations that would consume many tokens for a CLI agent to orchestrate from scratch. Minor point: while structure is excellent, a few sections could be slightly more concise, but this is marginal given the technical complexity involved.
K-Dense-AI
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