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mesh-generation

Maintainer FreedomIntelligence · Last updated April 1, 2026

Plan and evaluate mesh generation for numerical simulations. Use when choosing grid resolution, checking aspect ratios/skewness, estimating mesh quality constraints, or planning adaptive mesh refinement for PDE discretization.

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Original source

FreedomIntelligence/OpenClaw-Medical-Skills

https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/mesh-generation

Maintainer: FreedomIntelligence
License: MIT
Last updated: April 1, 2026

Skill Snapshot

Key Details From SKILL.md

2 min

Key Notes

Provide a consistent workflow for selecting mesh resolution and checking mesh quality for PDE simulations.
python3 scripts/grid_sizing.py --length 1.0 --resolution 200 --json.

Source Doc

Excerpt From SKILL.md

Requirements

Python 3.8+
No external dependencies (uses stdlib)

Inputs to Gather

Input	Description	Example
Domain size	Physical dimensions	`1.0 × 1.0 m`
Feature size	Smallest feature to resolve	`0.01 m`
Points per feature	Resolution requirement	`10 points`
Aspect ratio limit	Maximum dx/dy ratio	`5:1`
Quality threshold	Skewness limit	`< 0.8`

Mesh Type Selection

Problem	Recommended Mesh
Simple geometry, uniform	Structured Cartesian
Complex geometry	Unstructured triangular/tetrahedral
Boundary layers	Hybrid (structured near walls)
Adaptive refinement	Quadtree/Octree or AMR

Use cases

Use when choosing grid resolution, checking aspect ratios/skewness, estimating mesh quality constraints, or planning adaptive mesh refinement for PDE discretization.