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hpc-fenicsHPC fenics 测试

Agent Skill

hpc-fenics 用于辅助前端页面、组件、样式和交互逻辑开发,适合在 OpenClaw 中需要维护前端项目、生成组件或检查界面实现时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

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周安装

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下载量

1,624
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安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:hpc-fenics(HPC fenics 测试)
来源仓库:https://github.com/fzj1214/hpc-fenics
安装命令:
openclaw skills install hpc-fenics
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

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openclaw skills install hpc-fenics

简介

协助构建与调试 FEniCS 或 DOLFINx 平台的偏微分方程求解脚本。

  • 适用于科学计算与工程仿真中的 PDE 建模与数值求解任务。
  • 支持将数学表达式转换为 UFL 格式并选择合适函数空间。
  • 需预先配置 Python 环境与 FEniCS 依赖库方可正常使用。
  • 推荐在 Jupyter Notebook 中交互式验证脚本逻辑与结果准确性。

SKILL.md

name
hpc-fenics
description
Build, review, and debug FEniCS or DOLFINx PDE scripts for finite-element workflows. Use when translating PDEs into UFL, selecting function spaces, applying boundary conditions, choosing between classic FEniCS and DOLFINx, or fixing FEM runtime errors.

HPC FEniCS

Treat FEniCS as a family with two main stacks: classic FEniCS and DOLFINx.

Start

  1. Read references/runtime-selection.md first.
  2. Read references/dolfinx-boundary-workflow.md when targeting DOLFINx boundary conditions.
  3. Read references/ufl-and-solver-patterns.md when translating PDEs, choosing spaces, or building forms.
  4. Read references/pde-template-cookbook.md when mapping common PDE classes to known formulation patterns.
  5. Read references/time-dependent-and-nonlinear-patterns.md when building transient or nonlinear solvers.
  6. Read references/implementation-skeletons.md when you need a concrete script shape for classic FEniCS or DOLFINx.
  7. Read references/petsc-solver-playbook.md when choosing linear, nonlinear, or block solver settings.
  8. Read references/mixed-problems-and-output.md when working with mixed spaces, XDMF, or post-processing.
  9. Read references/cluster-execution-playbook.md when staging a FEniCS or DOLFINx script for scheduler-backed cluster execution.
  10. Read references/boundary-io-and-errors.md when repairing runtime failures or resolving IO issues.

Work sequence

  1. Choose one stack and stay consistent:

- classic FEniCS: fenics or dolfin - modern stack: dolfinx

  1. Translate the PDE into the correct weak form before writing code.
  2. Match unknown type and space:

- scalar field -> scalar space - vector field -> vector space - mixed formulation -> mixed space with explicit subspace handling

  1. For linear problems, use TrialFunction and TestFunction.
  2. For nonlinear problems, use a Function for the unknown and solve a residual form.
  3. Write outputs in a format the expected post-processor can open, usually XDMF for mesh-coupled fields.

Guardrails

  • Do not mix classic FEniCS imports with DOLFINx APIs in one script.
  • Do not use TrialFunction for a nonlinear unknown.
  • Do not guess a boundary condition if the PDE is under-constrained; say what is missing.
  • Do not ignore shape and rank mismatches in UFL expressions.

Additional References

Load these on demand:

  • references/gmsh-meshtags-and-refinement.md for imported meshes, physical groups, markers, and refinement transfer
  • references/io-visualization-and-writers.md for XDMF, VTK, VTX, and visualization-safe output
  • references/parallel-and-mpi-caveats.md for ownership, boundary marking, and parallel consistency
  • references/space-boundary-output-matrix.md for function-space, boundary-condition, and writer-selection matrices
  • references/cluster-execution-playbook.md for MPI launch, environment pinning, and cluster-side IO planning

Reusable Templates

Use assets/templates/ when a concrete script scaffold is needed, especially:

  • poisson_dolfinx.py
  • transient_diffusion_dolfinx.py
  • fenics-dolfinx-slurm.sh

Outputs

Report:

  • chosen stack and version family if known
  • PDE form and space selection
  • boundary conditions applied
  • expected output files
  • the exact failure class if the script is being repaired

适合场景

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能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

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