mesh-generation
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.
npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill mesh-generation --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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 | 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` | ## 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 | 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 | ## Script Outputs (JSON Fields) | Script | Key Outputs | |--------|-------------
- Goal
- Requirements
- Inputs to Gather
- Decision Guidance
- Resolution Selection
- Mesh Type Selection
- Script Outputs (JSON Fields)
- Workflow
- Conversational Workflow Example
- Pre-Mesh Checklist
- CLI Examples
- Error Handling
- Interpretation Guidance
- Aspect Ratio
python3 scripts/grid_sizing.py --length 0.001 --resolution 200 --json 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
What does the mesh-generation skill do?
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.
How do I install it?
Run `npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill mesh-generation --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From FreedomIntelligence/OpenClaw-Medical-Skills, a repository with 2,909 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.