hydrodynamic-pipeline-checkpoint-1-mesh-quality

Sub-skill of hydrodynamic-pipeline: Checkpoint 1: Mesh Quality (+2).

5 stars

Best use case

hydrodynamic-pipeline-checkpoint-1-mesh-quality is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Sub-skill of hydrodynamic-pipeline: Checkpoint 1: Mesh Quality (+2).

Teams using hydrodynamic-pipeline-checkpoint-1-mesh-quality 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

$curl -o ~/.claude/skills/checkpoint-1-mesh-quality/SKILL.md --create-dirs "https://raw.githubusercontent.com/vamseeachanta/workspace-hub/main/.agents/skills/_archive/engineering/workflows/hydrodynamic-pipeline/checkpoint-1-mesh-quality/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/checkpoint-1-mesh-quality/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How hydrodynamic-pipeline-checkpoint-1-mesh-quality Compares

Feature / Agenthydrodynamic-pipeline-checkpoint-1-mesh-qualityStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Sub-skill of hydrodynamic-pipeline: Checkpoint 1: Mesh Quality (+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

# Checkpoint 1: Mesh Quality (+2)

## Checkpoint 1: Mesh Quality


```python
def validate_panel_mesh(gdf_path, min_panels=200, max_aspect=3.0):
    """Validate panel mesh before diffraction analysis."""
    checks = {"passed": True, "issues": []}

    # Parse GDF and count panels
    # Check aspect ratios, normal directions, waterline closure
    # (implementation depends on mesh format)

    return checks
```


## Checkpoint 2: Diffraction Results


```python
def validate_diffraction_results(results):
    """Validate diffraction results before passing to OrcaFlex."""
    checks = {"passed": True, "issues": []}

    # RAO sanity checks
    heave_rao_at_long_period = results["raos"]["Heave"]["amplitude"][-1]
    if abs(heave_rao_at_long_period - 1.0) > 0.1:
        checks["issues"].append(
            f"Heave RAO at long period = {heave_rao_at_long_period:.3f} "
            "(expected ~1.0 — vessel should follow wave at low frequency)"
        )

    # Added mass should be positive on diagonal
    # Damping should be positive (energy dissipation)
    # Roll/pitch RAO should have clear resonance peak

    # Check for numerical issues
    for dof, data in results["raos"].items():
        if any(a > 100 for a in data["amplitude"]):
            checks["issues"].append(f"{dof} RAO has spikes > 100 — likely resonance without damping")
            checks["passed"] = False

    return checks
```


## Checkpoint 3: OrcaFlex Results


```python
def validate_orcaflex_moored_results(sim_path):
    """Validate final OrcaFlex simulation results."""
    import OrcFxAPI
    model = OrcFxAPI.Model()
    model.LoadSimulation(sim_path)
    checks = {"passed": True, "issues": []}

    # Check vessel offset
    vessel = model['FPSO']
    max_surge = max(abs(vessel.TimeHistory('X', OrcFxAPI.oeEndA)))
    if max_surge > 50:
        checks["issues"].append(f"Max surge = {max_surge:.1f}m — check mooring stiffness")

    # Check mooring tensions
    for obj in model.objects:
        if obj.typeName == 'Line' and 'Mooring' in obj.name:
            max_tension = max(obj.TimeHistory('Effective tension', OrcFxAPI.oeEndA))
            min_tension = min(obj.TimeHistory('Effective tension', OrcFxAPI.oeEndB))
            if min_tension < 0:
                checks["issues"].append(f"{obj.name}: negative tension (compression) — line may be slack")
                checks["passed"] = False

    return checks
```

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