orcaflex-operability-with-orcaflex-modeling
Sub-skill of orcaflex-operability: With OrcaFlex Modeling (+1).
Best use case
orcaflex-operability-with-orcaflex-modeling is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Sub-skill of orcaflex-operability: With OrcaFlex Modeling (+1).
Teams using orcaflex-operability-with-orcaflex-modeling 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/with-orcaflex-modeling/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How orcaflex-operability-with-orcaflex-modeling Compares
| Feature / Agent | orcaflex-operability-with-orcaflex-modeling | 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-operability: With OrcaFlex Modeling (+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
# With OrcaFlex Modeling (+1)
## With OrcaFlex Modeling
```python
# 1. Run simulations for multiple headings
from digitalmodel.orcaflex.universal import UniversalOrcaFlexRunner
runner = UniversalOrcaFlexRunner()
for heading in range(0, 360, 15):
runner.run_single(f"mooring_heading_{heading}.yml")
# 2. Run operability analysis
from digitalmodel.orcaflex.operability_analysis import OperabilityAnalyzer
analyzer = OperabilityAnalyzer(simulation_directory="results/.sim/")
analyzer.generate_comprehensive_report(...)
```
## With Post-Processing
```python
# Use OPP for detailed extraction, then operability for envelope
from digitalmodel.orcaflex.opp import OrcaFlexPostProcess
from digitalmodel.orcaflex.operability_analysis import OperabilityAnalyzer
# Extract detailed statistics
opp = OrcaFlexPostProcess()
stats = opp.extract_summary_statistics(...)
# Generate operability envelope
analyzer = OperabilityAnalyzer(...)
envelope = analyzer.generate_operability_envelope(...)
```Related Skills
OrcaFlex Specialist Skill
```yaml
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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
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orcaflex-vessel-setup
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orcaflex-specialist
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