Generate FDS input files from 0-caseDict/caseDict and run fire simulations.
npx skills add https://github.com/sunrise-hjx/vibeFlow-skills --skill vibeflow-fds
Please help me install this Agent Skill. Skill: vibeflow-fds Source: https://github.com/sunrise-hjx/vibeFlow-skills/tree/main/vibeflow-fds Command: npx skills add https://github.com/sunrise-hjx/vibeFlow-skills --skill vibeflow-fds
This skill provides a focused backend for fire dynamics simulations within VibeCAE by generating, running, and post-processing FDS inputs and outputs from 0-caseDict/caseDict, enabling reproducible fire-safety studies.
Generate .fds input files from 0-caseDict/caseDict to ensure consistent physics definitions.
Run FDS, monitor logs, and parse outputs such as .out, HRR, DEVC/CSV, and Smokeview scenes for validation and reporting.
Develop input templates, fire-source/material libraries, scene generators, post-processors, or Smokeview integration scripts to extend backends for fire-safety engineering.
Use case: A building-fire scenario where HRR curves, temperature probes, and smoke-layer evolution are generated from a centralized caseDict and analyzed with post-processing tools.
Map 0-caseDict/caseDict to an FDS input, run the simulation, and review the resulting case.fds, case.out, and Smokeview outputs.
High-intent search queries and answers about installing and using this skill.
Running FDS simulations from caseDict involves coordinating end-to-end execution, monitoring logs, and parsing outputs like .out files, HRR curves, and DEVC/CSV data for validation.
Yes, you can automate Smokeview visualization by generating Smokeview scenes from the centralized caseDict, allowing you to analyze smoke-layer evolution and temperature probes across building compartments.
Reproducible fire-safety studies require consistent caseDict inputs, reusable templates, and fire-source or material libraries, ensuring clear run provenance and standardized post-processing results.
The workflow supports post-processing HRR curves, smoke ventilation data, and DEVC/CSV outputs by parsing simulation results to validate fire, smoke, and ventilation dynamics across compartments.
Using caseDict for fire dynamics simulations is limited to safety-focused studies involving fire, smoke, and ventilation, requiring properly mapped parameters to generate valid FDS inputs and Smokeview outputs.
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