orcawave-qtf-analysis-available-data
Sub-skill of orcawave-qtf-analysis: Available Data (+1).
Best use case
orcawave-qtf-analysis-available-data is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Sub-skill of orcawave-qtf-analysis: Available Data (+1).
Teams using orcawave-qtf-analysis-available-data 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/available-data/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How orcawave-qtf-analysis-available-data Compares
| Feature / Agent | orcawave-qtf-analysis-available-data | 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-qtf-analysis: Available Data (+1).
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
# Available Data (+1)
## Available Data
```python
# Mean drift loads (3 methods available)
mean_drift_pressure = model.meanDriftLoadPressureIntegration
mean_drift_momentum = model.meanDriftLoadMomentumConservation
mean_drift_control = model.meanDriftLoadControlSurface
# QTF data structure
qtf_freqs = model.QTFFrequencies
qtf_periods = model.QTFPeriods
qtf_heading_pairs = model.QTFHeadingPairs
*See sub-skills for full details.*
## Heading Pair Management
```python
from digitalmodel.orcawave.qtf import QTFHeadingManager
# Manage QTF heading pairs
manager = QTFHeadingManager()
# Define heading pairs for bi-directional seas
pairs = manager.generate_pairs(
headings=[0, 30, 60, 90, 120, 150, 180],
pair_type="symmetric" # Reduce computation using symmetry
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