cad-mesh-generation-1-parametric-design
Sub-skill of cad-mesh-generation: 1. Parametric Design (+2).
Best use case
cad-mesh-generation-1-parametric-design is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Sub-skill of cad-mesh-generation: 1. Parametric Design (+2).
Teams using cad-mesh-generation-1-parametric-design should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/1-parametric-design/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How cad-mesh-generation-1-parametric-design Compares
| Feature / Agent | cad-mesh-generation-1-parametric-design | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Sub-skill of cad-mesh-generation: 1. Parametric Design (+2).
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# 1. Parametric Design (+2)
## 1. Parametric Design
```python
from dataclasses import dataclass
@dataclass
class VesselDesignParameters:
"""Parametric vessel design."""
length: float # Overall length [m]
beam: float # Beam (width) [m]
depth: float # Depth [m]
draft: float # Design draft [m]
bow_shape: str = 'straight' # 'straight', 'raked', 'bulbous'
stern_shape: str = 'transom' # 'transom', 'cruiser'
superstructure: bool = True
def validate(self) -> bool:
"""Validate design parameters."""
if self.draft > self.depth:
raise ValueError("Draft cannot exceed depth")
if self.beam > self.length:
raise ValueError("Beam should not exceed length")
return True
```
## 2. Mesh Size Optimization
```python
def calculate_optimal_mesh_size(
geometry_length_scale: float,
analysis_type: str,
target_accuracy: str = 'medium'
) -> float:
"""
Calculate optimal mesh size based on geometry and analysis type.
Args:
geometry_length_scale: Characteristic length [m]
analysis_type: 'bem', 'fea_linear', 'fea_nonlinear', 'cfd'
target_accuracy: 'coarse', 'medium', 'fine'
Returns:
Recommended element size [m]
"""
# Base sizing ratios
sizing_ratios = {
'bem': {
'coarse': 0.10,
'medium': 0.05,
'fine': 0.025
},
'fea_linear': {
'coarse': 0.20,
'medium': 0.10,
'fine': 0.05
},
'fea_nonlinear': {
'coarse': 0.10,
'medium': 0.05,
'fine': 0.025
},
'cfd': {
'coarse': 0.15,
'medium': 0.075,
'fine': 0.0375
}
}
ratio = sizing_ratios[analysis_type][target_accuracy]
element_size = geometry_length_scale * ratio
return element_size
```
## 3. Quality Checks
```python
def perform_mesh_quality_checks(
mesh_file: Path,
min_quality_threshold: float = 0.3
) -> bool:
"""
Perform comprehensive mesh quality checks.
Args:
mesh_file: Mesh file path
min_quality_threshold: Minimum acceptable quality
Returns:
True if mesh passes quality checks
"""
quality = analyze_mesh_quality(mesh_file)
checks = {
'min_quality': quality['min_quality'] >= min_quality_threshold,
'poor_elements': quality['poor_elements'] == 0,
'element_count': quality['element_count'] > 0
}
passed = all(checks.values())
if not passed:
print("Mesh quality check FAILED:")
for check_name, result in checks.items():
status = "PASS" if result else "FAIL"
print(f" {check_name}: {status}")
return passed
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