orcaflex-modeling-license-check
Sub-skill of orcaflex-modeling: License Check (+2).
Best use case
orcaflex-modeling-license-check is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Sub-skill of orcaflex-modeling: License Check (+2).
Teams using orcaflex-modeling-license-check 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/license-check/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How orcaflex-modeling-license-check Compares
| Feature / Agent | orcaflex-modeling-license-check | 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 orcaflex-modeling: License Check (+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
# License Check (+2)
## License Check
```python
from digitalmodel.orcaflex.orcaflex_utilities import OrcaflexUtilities
utils = OrcaflexUtilities()
if utils.is_orcaflex_available():
print("OrcaFlex license available")
else:
print("Running in mock mode")
```
## Model Loading
```python
# Load simulation with metadata
model, metadata = utils.get_model_and_metadata("simulation.sim")
print(f"Simulation period: {metadata['period']} seconds")
print(f"Time step: {metadata['timestep']} seconds")
```
## Wave Calculations
```python
# Calculate theoretical maximum wave height
Hmax = utils.get_theoretical_hmax({
"Hs": 6.0, # Significant wave height (m)
"Tp": 12.0, # Peak period (s)
"duration": 3600, # Storm duration (s)
"gamma": 3.3 # JONSWAP peakedness
})
print(f"Theoretical Hmax: {Hmax:.2f} m")
# Calculate associated period
Tassociated = utils.get_tassociated(Hmax, Tp=12.0)
print(f"Associated period: {Tassociated:.2f} s")
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