Automate building, reviewing, and debugging SU2 CFD configurations for HPC cluster execution.
npx skills add https://github.com/SciMate-AI/scicli --skill hpc-su2
Please help me install this Agent Skill. Skill: hpc-su2 Source: https://github.com/SciMate-AI/scicli/tree/main/internal/skills/bundled/hpc-skills/skills/hpc-su2 Command: npx skills add https://github.com/SciMate-AI/scicli --skill hpc-su2
Build, review, and automate SU2 CFD configuration and execution workflows to streamline HPC simulations and reduce human errors.
Follow the Start steps to initialize a SU2 case using a minimal configuration.
High-intent search queries and answers about installing and using this skill.
To configure SU2 CFD solver families, map physics settings for EULER, NAVIER_STOKES, or MULTIPHYSICS runs. This automation validates solver configurations for compressible, incompressible, and multizone cases to streamline HPC simulations.
Mapping mesh markers to SU2 boundary sections requires validating marker consistency against the case configuration. This process ensures boundary definitions align correctly with the simulation setup for scalable HPC cluster execution.
Yes, the SU2 workflow supports transient and multizone CFD options. It configures the relevant solver families and physics settings, enabling multizone SU2 runs while validating mesh marker consistency for HPC cluster execution.
Troubleshooting SU2 convergence issues involves applying convergence control parameters and reviewing convergence notes. The workflow provides on-demand references for error recovery and cluster orchestration to resolve simulation stalls.
Yes, template-based case scaffolding generates minimal SU2 configurations for scalable HPC runs. This approach accelerates workflow development by providing structured configuration templates that reduce human errors during setup.
SU2 CFD configurations fail marker validation when mesh markers do not match the defined SU2 boundary sections. The workflow validates marker consistency against the case configuration to identify and resolve these mismatches before execution.
csml-rpiConvert CFD hypotheses into FoamAgent requirement JSON files.
sunrise-hjxAutomate SU2 CFD workflow preparation, execution, and post-processing from caseDict.
yale-som-hpcDefine a mental model for Yale SOM HPC cluster login and compute nodes.
xjtulycAutomate OpenFOAM CFD case setup, solver execution, and headless post-processing.
