orcawave-aqwa-benchmark-convention-differences
Sub-skill of orcawave-aqwa-benchmark: Convention Differences (+3).
Best use case
orcawave-aqwa-benchmark-convention-differences is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Sub-skill of orcawave-aqwa-benchmark: Convention Differences (+3).
Teams using orcawave-aqwa-benchmark-convention-differences 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/convention-differences/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How orcawave-aqwa-benchmark-convention-differences Compares
| Feature / Agent | orcawave-aqwa-benchmark-convention-differences | 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-aqwa-benchmark: Convention Differences (+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
# Convention Differences (+3) ## Convention Differences - **AQWA**: ISO 6954 (phase lead) — `A * cos(wt + phi)` - **OrcaWave**: Orcina (phase lag) — `A * cos(wt - phi)` - **Conversion**: `phi_Orcina = -phi_ISO` (negate AQWA phases) ## Implementation Normalize at extraction time, not at comparison time. Use Orcina (phase lag) as the canonical convention: ```python # In AQWA extraction, after building each RAOComponent: component.phase = -component.phase # ISO 6954 → Orcina lag results.phase_convention = "orcina_lag" ``` Track convention metadata on `DiffractionResults`: ```python phase_convention: str = "unknown" # "orcina_lag" or "iso_lead" unit_system: str = "SI" # "SI" (kg,m,s) or "orcaflex" (te,m,s) ``` ## M24/M42 Sway-Roll Coupling Sign Fix AQWA sway-roll coupling terms (M24/M42) have opposite sign to OrcaWave. Empirically determined from barge geometry; needs AQWA Theory Manual Section 4.3 confirmation. ```python # Negate Sway-Roll coupling in AQWA extraction # Added mass AND damping matrices matrix[1, 3] = -matrix[1, 3] # M24 matrix[3, 1] = -matrix[3, 1] # M42 ``` **Scope**: Only M24/M42 — other roll-coupling terms (M14, M34, M46) are near-zero for typical barge geometries and cannot be verified. ## Unit System - AQWA: SI (kg, m, s) - OrcaWave: OrcaFlex (te, m, s) — factor ~1000x - Pearson correlation is scale-invariant, so units don't affect correlation-based comparison - Track in metadata for absolute value comparisons
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