Automate SU2 CFD workflow preparation, execution, and post-processing from caseDict.
npx skills add https://github.com/sunrise-hjx/vibeFlow-skills --skill vibeflow-su2
Please help me install this Agent Skill. Skill: vibeflow-su2 Source: https://github.com/sunrise-hjx/vibeFlow-skills/tree/main/vibeflow-su2 Command: npx skills add https://github.com/sunrise-hjx/vibeFlow-skills --skill vibeflow-su2
Automates the preparation, execution, and post-processing of SU2 CFD workflows from caseDict for aerodynamic analysis and optimization.
From 0-caseDict/caseDict, generate a runnable SU2 configuration and mesh, then execute a validation run.
High-intent search queries and answers about installing and using this skill.
You can automate SU2 CFD workflows by generating config.cfg files, mesh inputs, and run scripts directly from a caseDict. This ensures reproducible preparation for aerodynamic analysis and optimization tasks.
Yes, the automation supports external and internal flows, adjoint optimization, and mesh deformation. It generates ready-to-run config files and meshes to facilitate these complex aerodynamic simulations.
Workflow automation manages mesh conversion, restart handling, and history monitoring automatically. This ensures reliable reproducibility and structured outputs that can be parsed by post-processing tools.
The best way is to define your parameters in a caseDict, which then generates runnable inputs, managed run scripts, and structured outputs specifically tailored for multiphysics simulations.
Yes, post-processing support provides wrappers and hooks for extracting results and generating reports. The structured outputs are designed to be easily parsed by external post-processing tools.
The system manages configuration generation and workflow automation for internal flows, but users must ensure their caseDict accurately defines the complex boundary conditions and mesh requirements for reliable results.
sunrise-hjxMap caseDict specifications to runnable OpenFOAM C-run cases with UDF workflows.
DuySeuExtract and summarize project statistics into dashboards, reports, and timelines.
SciMate-AIAutomate building, reviewing, and debugging SU2 CFD configurations for HPC cluster execution.
csml-rpiConvert CFD hypotheses into FoamAgent requirement JSON files.
