orcawave-aqwa-benchmark
Cross-validation specialist for comparing OrcaWave and AQWA diffraction analysis results. Provides statistical comparison, peak value validation, and automated benchmark reporting for hydrodynamic coefficient verification.
Best use case
orcawave-aqwa-benchmark is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Cross-validation specialist for comparing OrcaWave and AQWA diffraction analysis results. Provides statistical comparison, peak value validation, and automated benchmark reporting for hydrodynamic coefficient verification.
Teams using orcawave-aqwa-benchmark 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/aqwa-benchmark/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How orcawave-aqwa-benchmark Compares
| Feature / Agent | orcawave-aqwa-benchmark | 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?
Cross-validation specialist for comparing OrcaWave and AQWA diffraction analysis results. Provides statistical comparison, peak value validation, and automated benchmark reporting for hydrodynamic coefficient verification.
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
# Orcawave Aqwa Benchmark
## When to Use
- Validating OrcaWave results against AQWA benchmarks
- Comparing RAO amplitudes and phases between tools
- Verifying added mass and damping matrices
- Running automated benchmark test suites
- Generating comparison reports for quality assurance
- Establishing confidence in diffraction analysis results
- Identifying discrepancies between panel method implementations
## Python API
### Basic Comparison
```python
from digitalmodel.diffraction.comparison_framework import (
DiffractionComparator,
PeakRAOComparator
)
from digitalmodel.diffraction.aqwa_converter import AQWAConverter
from digitalmodel.diffraction.orcawave_converter import OrcaWaveConverter
# Load AQWA results
aqwa_converter = AQWAConverter()
*See sub-skills for full details.*
### Peak-Focused Validation
```python
from digitalmodel.diffraction.comparison_framework import PeakRAOComparator
# Peak-focused comparison (recommended for validation)
peak_comparator = PeakRAOComparator(
aqwa_results=aqwa_results,
orcawave_results=orcawave_results,
peak_threshold=0.10, # 10% of peak magnitude
tolerance=0.05 # 5% tolerance
)
*See sub-skills for full details.*
### Matrix Comparison
```python
from digitalmodel.diffraction.comparison_framework import MatrixComparator
# Compare added mass matrices
matrix_comp = MatrixComparator()
# Compare at specific frequency
freq = 0.1 # rad/s
am_comparison = matrix_comp.compare_added_mass(
aqwa_matrix=aqwa_results['added_mass'][freq],
*See sub-skills for full details.*
### Statistical Analysis
```python
from digitalmodel.diffraction.comparison_framework import StatisticalAnalyzer
# Initialize analyzer
analyzer = StatisticalAnalyzer()
# Compute correlation metrics
correlation = analyzer.compute_correlation(
aqwa_raos=aqwa_results['raos'],
orcawave_raos=orcawave_results['raos']
*See sub-skills for full details.*
## Related Skills
- [orcawave-analysis](../orcawave-analysis/SKILL.md) - OrcaWave analysis execution
- [aqwa-analysis](../aqwa-analysis/SKILL.md) - AQWA analysis execution
- [hydrodynamics](../hydrodynamics/SKILL.md) - Coefficient management
## References
- Comparison Framework: `src/digitalmodel/modules/diffraction/comparison_framework.py`
- Benchmark Data: `docs/modules/orcawave/L01_aqwa_benchmark/`
- AQWA Converter: `src/digitalmodel/modules/diffraction/aqwa_converter.py`
- OrcaWave Converter: `src/digitalmodel/modules/diffraction/orcawave_converter.py`
---
**Version History**
- **1.0.0** (2026-01-17): Initial release with comparison framework, peak validation, and statistical analysis
## Sub-Skills
- [Best Practices](best-practices/SKILL.md)
## Sub-Skills
- [Version Metadata](version-metadata/SKILL.md)
- [Standard Tolerances (+1)](standard-tolerances/SKILL.md)
- [Benchmark Suite Configuration (+1)](benchmark-suite-configuration/SKILL.md)
- [CLI Usage](cli-usage/SKILL.md)
- [HTML Report Structure (+1)](html-report-structure/SKILL.md)
- [Standard Test Suite](standard-test-suite/SKILL.md)
- [Common Causes of Deviation (+1)](common-causes-of-deviation/SKILL.md)
- [Automated Validation in Pipeline](automated-validation-in-pipeline/SKILL.md)
- [Convention Differences (+3)](convention-differences/SKILL.md)
- [Single-Page HTML Report Structure (+3)](single-page-html-report-structure/SKILL.md)
## Documentation Reference
OrcaWave topics (`data/llm-wiki/orcawave/`):
- `Theory,First-orderequations.md` -- first-order panel method (OrcaWave side)
- `Results,Addedmassanddamping.md` -- AMD results for comparison
- `Results,DisplacementRAOs.md` -- RAO results for comparison
- `Theory,Coordinatesystems.md` -- coordinate conventions (key for cross-tool alignment)
- `Data,Validation.md` -- built-in validation checks
OrcaFlex topics (`data/llm-wiki/orcaflex/`):
- `Importinghydrodynamicdata,AQWA.md` -- AQWA import conventions
- `Importinghydrodynamicdata,OrcaWave.md` -- OrcaWave import conventions
- `Vesseltypes,CheckingRAOs.md` -- RAO quality checksRelated Skills
digitalmodel-orcawave-orcaflex-proof-workflows
Class-level digitalmodel OrcaWave/OrcaFlex readiness, semantic-proof, fixture-proof, and closeout workflows.
orcawave-orcaflex-readiness-audit
Audit the real readiness of digitalmodel OrcaWave/OrcaFlex spec-driven workflows by reconciling workspace-hub issues, source/tests, semantic-equivalence boundaries, and wiki synthesis gaps.
digitalmodel-orcawave-orcaflex-workflow
Current-state workflow for navigating and extending digitalmodel OrcaWave/OrcaFlex capabilities across code, tests, issues, queue tooling, and licensed-machine boundaries.
orcawave-orcaflex-semantic-proof-wave-closeout
Close out an OrcaWave/OrcaFlex semantic-proof wave after a PR merges, split unrelated CI blockers, and seed the next semantic-proof issue wave without duplicating existing issues.
orcawave-to-orcaflex
Integration specialist for converting OrcaWave diffraction results to OrcaFlex vessel types. Handles hydrodynamic database generation, RAO import, viscous damping addition, and coordinate system transformations.
orcawave-qtf-analysis
Second-order wave force QTF computation in OrcaWave. Use when computing mean drift forces, difference-frequency or sum-frequency QTFs, slow-drift response, or applying Newman approximation for offshore structures.
orcawave-multi-body
Multi-body hydrodynamic interaction analysis in OrcaWave. Use when setting up coupled vessel models, side-by-side operations, FPSO-tanker interactions, gap resonance studies, or hydrodynamic shielding calculations.
orcawave-mesh-generation
Panel mesh generation for OrcaWave diffraction analysis. Use when converting CAD/STL to panel mesh, validating mesh quality, running convergence studies, or generating GDF files for hydrodynamic computations.
orcawave-damping-sweep
Viscous damping analysis for OrcaWave. Use when running parametric damping sweeps, optimizing roll damping coefficients, computing critical damping, or comparing damping results with model test data for vessel motion tuning.
orcawave
OrcaWave diffraction/radiation analysis — mesh, analysis, QTF, and integration
aqwa-reference
AQWA solver stages (RESTART), OPTIONS keywords, FIDP/FISK external damping/stiffness cards, backend bugs, and MCP tool integration patterns.
aqwa-output
AQWA output formats (RAO CSV, coefficient JSON), LIS parsing conventions, result validation, benchmark comparison vs OrcaWave, and validation criteria.