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vibeflow-fenics

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Integrate FEniCS/PDE backends with VibeCAE.

Software Engineering#python-backend#pde#fem#fenics#dolfinx#caseDict#fenicsx
Authorsunrise-hjx
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill enables seamless preparation, execution, debugging, validation, and development of FEniCS/FEniCSx PDE workflows inside VibeCAE, including Python weak forms, mesh and boundary-tag handoff, and caseDict-based reproducibility.

Core Features & Use Cases

  • Python-driven backend: supports dolfinx/dolfin, UFL, basix/ffcx and PETSc for solver setup.
  • Mesh tagging and boundary handling: coordinates with upstream geometry/mesh manifests and caseDict mappings to ensure consistent regions and boundaries.
  • Reusable PDE modules: supports development of weak forms, material models, boundary-condition generators, and post-processing wrappers with traceability to 0-caseDict/caseDict.

Quick Start

Run the FEniCS backend generator to produce a runnable solver script from your caseDict

Dependency Matrix

Required Modules

None required

Components

references

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: vibeflow-fenics
Download link: https://github.com/sunrise-hjx/vibeFlow-skills/archive/main.zip#vibeflow-fenics

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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