orcawave-analysis-orcfxapi-result-extraction
Sub-skill of orcawave-analysis: OrcFxAPI Result Extraction (+3).
Best use case
orcawave-analysis-orcfxapi-result-extraction is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Sub-skill of orcawave-analysis: OrcFxAPI Result Extraction (+3).
Teams using orcawave-analysis-orcfxapi-result-extraction 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/orcfxapi-result-extraction/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How orcawave-analysis-orcfxapi-result-extraction Compares
| Feature / Agent | orcawave-analysis-orcfxapi-result-extraction | 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 orcawave-analysis: OrcFxAPI Result Extraction (+3).
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
# OrcFxAPI Result Extraction (+3) ## OrcFxAPI Result Extraction | Property | Gotcha | Fix | |----------|--------|-----| | `.frequencies` | Returns **Hz**, not rad/s | Multiply by `2 * np.pi` | | `.frequencies` | Returns **descending** order | `np.argsort()` ascending before comparison | | `.displacementRAOs` | Shape `(nheading, nfreq, 6)` | Transpose to `(nfreq, nheading, 6)` | | Rotational RAOs (indices 3,4,5) | In **rad/m** | `np.degrees()` for deg/m (AQWA convention) | | `.addedMass`, `.damping` | Follow frequency order | Apply same sort index as frequencies | ## Unit Conversion: WAMIT .frc → spec.yml | Source | Mass Unit | Inertia Unit | Density | To spec.yml | |--------|-----------|-------------|---------|-------------| | WAMIT `.frc` (RHO=1) | te | te·m² | 1 te/m³ | ×1000 for kg, kg·m² | | OrcaWave `.owd` | te | te·m² | 1 te/m³ | ×1000 for kg, kg·m² | | spec.yml | kg | kg·m² | kg/m³ | — (canonical) | **TRAP**: When porting from WAMIT `.frc` to spec.yml, multiply inertia by 1000 (te·m² → kg·m²). Do NOT multiply twice — the ISSC TLP case 2.5 had inertia tensors 1000× too large (8.02e13 vs correct 8.02e10) from double conversion. ## Phase Correlation for Zero-Magnitude DOFs Fixed DOFs (e.g. heave/roll/pitch on TLPs) produce zero RAO magnitudes. Phase is undefined (`atan2(0,0)` noise), so: - `multi_solver_comparator.py`: when `peak_mag < 1e-10`, overrides phase correlation to `r = 1.0` - `validate_owd_vs_spec.py`: skips DOFs with `max_diff < 1e-6` in pass/fail verdict ## QTF Settings Guard When `qtf_calculation: false` in spec.yml, do NOT include any QTF-related keys in the OrcaWave YAML: - `QTFMinCrossingAngle`, `QTFMaxCrossingAngle`, `PreferredQuadraticLoadCalculationMethod` - These cause "Change not allowed" errors from OrcaWave - `QuadraticLoadPressureIntegration: No` is safe (explicitly disabling) ---
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