Convert CFD hypotheses into FoamAgent requirement JSON files.
npx skills add https://github.com/csml-rpi/AI-CFD-Scientist --skill cfd-requirements
Please help me install this Agent Skill. Skill: cfd-requirements Source: https://github.com/csml-rpi/AI-CFD-Scientist/tree/main/cfd-skills/cfd-requirements Command: npx skills add https://github.com/csml-rpi/AI-CFD-Scientist --skill cfd-requirements
This Skill transforms CFD hypotheses or direct simulation requests into detailed, executable FoamAgent user-requirement strings, streamlining the setup of CFD experiments.
Feed the directory containing hypotheses.json and lit.json to generate requirements.json for CFD experiments.
High-intent search queries and answers about installing and using this skill.
To convert CFD hypotheses into simulation requirements, you provide a directory containing hypotheses.json and lit.json files. The Skill processes these inputs to generate a detailed requirements.json file specifying geometry, mesh, solver, and boundary conditions for automated CFD experiments.
Automated CFD pipeline setup translates high-level simulation requests into executable FoamAgent user-requirement strings. Requirement generation works by parsing CFD hypotheses and outputting structured JSON files containing all necessary computational controls, solver settings, and boundary conditions for seamless pipeline integration.
Yes, you can use this to generate boundary conditions and solver settings for FoamAgent. It converts high-level CFD hypotheses into detailed requirement paragraphs that explicitly specify geometry, mesh, solver configurations, and computational controls needed to execute CFD simulations.
Before generating CFD simulation requirements, you need to prepare a directory containing hypotheses.json and lit.json files. These input files provide the high-level CFD hypotheses and literature references necessary to produce the output requirements.json file for FoamAgent.
This approach supports both direct simulation requests and literature-based CFD hypotheses. It converts either input type into concrete simulation parameters, producing executable FoamAgent user-requirement strings that detail geometry, mesh, boundary conditions, and solver settings for CFD pipeline automation.
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