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mesh-generation网格生成

Agent Skill

mesh-generation 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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

698

周安装

30

GitHub Stars

31

下载量

245
CodexClaudeCursorGemini CLI

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

unknown

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:mesh-generation(网格生成)
来源仓库:https://github.com/heshamfs/materials-simulation-skills
仓库路径:skills/mesh-generation
安装命令:
npx skills add https://github.com/heshamfs/materials-simulation-skills --skill mesh-generation
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

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/heshamfs/materials-simulation-skills --skill mesh-generation

简介

用于查找、检索和筛选相关信息,适合快速定位候选结果。

  • 支持基于关键词、任务场景或来源线索进行信息筛选与整理。
  • 通过 npx 命令从 GitHub 仓库安装,需确认权限范围和维护状态。
  • 使用前建议核实是否会触发联网、命令执行或文件读写操作。
  • mesh-generation 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Mesh Generation

Goal

Provide a consistent workflow for selecting mesh resolution and checking mesh quality for PDE simulations.

Requirements

  • Python 3.8+
  • No external dependencies (uses stdlib)

Inputs to Gather

InputDescriptionExample
Domain sizePhysical dimensions1.0 × 1.0 m
Feature sizeSmallest feature to resolve0.01 m
Points per featureResolution requirement10 points
Aspect ratio limitMaximum dx/dy ratio5:1
Quality thresholdSkewness limit< 0.8

Decision Guidance

Resolution Selection

What is the smallest feature size?
├── Interface width → dx ≤ width / 5
├── Boundary layer → dx ≤ layer_thickness / 10
├── Wave length → dx ≤ lambda / 20
└── Diffusion length → dx ≤ sqrt(D × dt) / 2

Mesh Type Selection

ProblemRecommended Mesh
Simple geometry, uniformStructured Cartesian
Complex geometryUnstructured triangular/tetrahedral
Boundary layersHybrid (structured near walls)
Adaptive refinementQuadtree/Octree or AMR

Script Outputs (JSON Fields)

ScriptKey Outputs
scripts/grid_sizing.pydx, nx, ny, nz, notes
scripts/mesh_quality.pyaspect_ratio, skewness, quality_flags

Workflow

  1. Estimate resolution - From physics scales
  2. Compute grid sizing - Run scripts/grid_sizing.py
  3. Check quality metrics - Run scripts/mesh_quality.py
  4. Adjust if needed - Fix aspect ratios, reduce skewness
  5. Validate - Mesh convergence study

Conversational Workflow Example

User: I need to mesh a 1mm × 1mm domain for a phase-field simulation with interface width of 10 μm.

Agent workflow:

  1. Compute grid sizing: python3 scripts/grid_sizing.py --length 0.001 --resolution 200 --json
  2. Verify interface is resolved: dx = 5 μm, interface width = 10 μm → 2 points per interface width.
  3. Recommend: Increase to 500 points (dx = 2 μm) for 5 points across interface.

Pre-Mesh Checklist

  • Define target resolution per feature/interface
  • Ensure dx meets stability constraints (see numerical-stability)
  • Check aspect ratio < limit (typically 5:1)
  • Check skewness < threshold (typically 0.8)
  • Validate mesh convergence with refinement study

CLI Examples

# Compute grid sizing for 1D domain
python3 scripts/grid_sizing.py --length 1.0 --resolution 200 --json

# Check mesh quality
python3 scripts/mesh_quality.py --dx 1.0 --dy 0.5 --dz 0.5 --json

# High aspect ratio check
python3 scripts/mesh_quality.py --dx 1.0 --dy 0.1 --json

Error Handling

ErrorCauseResolution
length must be positiveInvalid domain sizeUse positive value
resolution must be > 1Insufficient pointsUse at least 2
dx, dy must be positiveInvalid spacingUse positive values

Interpretation Guidance

Aspect Ratio

Aspect RatioQualityImpact
1:1ExcellentOptimal accuracy
1:1 - 3:1GoodAcceptable
3:1 - 5:1FairMay affect accuracy
> 5:1PoorSolver issues likely

Skewness

SkewnessQualityImpact
0 - 0.25ExcellentOptimal
0.25 - 0.50GoodAcceptable
0.50 - 0.80FairMay affect accuracy
> 0.80PoorLikely problems

Resolution Guidelines

ApplicationPoints per Feature
Phase-field interface5-10
Boundary layer10-20
Shock3-5 (with capturing)
Wave propagation10-20 per wavelength
Smooth gradients5-10

Security

Input Validation

  • All inputs (length, resolution, dx, dy, dz) are validated as finite positive numbers with upper bounds to prevent resource exhaustion
  • dims is restricted to {1, 2, 3}
  • argparse type parameters reject non-numeric input at the CLI boundary before any processing occurs

File Access

  • Scripts read no external files; all inputs are provided via CLI arguments
  • Scripts write only to stdout (JSON output); no files are created unless the agent explicitly uses the Write tool

Tool Restrictions

  • Read: Used to inspect script source, references, and user configuration files
  • Write: Used to save grid sizing results or mesh quality reports; writes are scoped to the user's working directory
  • Grep/Glob: Used to locate relevant files and search references
  • The skill's allowed-tools excludes Bash to prevent the agent from executing arbitrary commands when processing user-provided inputs

Safety Measures

  • No eval(), exec(), or dynamic code generation
  • All subprocess calls use explicit argument lists (no shell=True)
  • Reduced tool surface (no Bash) means the agent should use Read and Write to prepare inputs and capture outputs rather than constructing shell commands from user text
  • All output is deterministic JSON with no shell-interpretable content

Limitations

  • 2D/3D only: No unstructured mesh generation
  • Quality metrics: Basic aspect ratio and skewness only
  • No mesh generation: Sizing recommendations only

References

  • references/mesh_types.md - Structured vs unstructured
  • references/quality_metrics.md - Aspect ratio/skewness thresholds

Version History

  • v1.1.0 (2024-12-24): Enhanced documentation, decision guidance, examples
  • v1.0.0: Initial release with 2 mesh quality scripts

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

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

Codex

35%
按下载量换算86

Claude

26.99%
按下载量换算66

Cursor

20.54%
按下载量换算50

Gemini CLI

8.46%
按下载量换算21

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/heshamfs/materials-simulation-skills --skill mesh-generation 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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