Agent skill
orcaflex-extreme-analysis
Extract extreme response values with linked statistics from OrcaFlex simulations. Use for design load identification, max/min extraction with associated values, and extreme event characterization.
Install this agent skill to your Project
npx add-skill https://github.com/vamseeachanta/workspace-hub/tree/main/.claude/skills/engineering/marine-offshore/orcaflex/extreme-analysis
SKILL.md
Orcaflex Extreme Analysis
When to Use
- Extracting maximum/minimum values from simulations
- Identifying design loads for structural analysis
- Finding associated values at extreme events
- Characterizing vessel motions at peak tensions
- Riser curvature at maximum tension conditions
- Wave conditions at extreme responses
- Multi-variable correlation at extremes
Prerequisites
- OrcaFlex simulation results (.sim files)
- Python environment with
digitalmodelpackage installed - Knowledge of variables to extract (object names, variable names)
Python API
Basic Linked Statistics
from digitalmodel.orcaflex.opp_linkedstatistics import OPPLinkedStatistics
# Initialize extractor
extractor = OPPLinkedStatistics()
# Configure extraction
config = {
"primary": {
"object": "Mooring_Line_1",
*See sub-skills for full details.*
### Direct OrcFxAPI Usage
```python
import OrcFxAPI
from pathlib import Path
def extract_extremes_with_linked(sim_file: str, config: dict) -> dict:
"""
Extract extreme values with linked statistics.
Args:
sim_file: Path to .sim file
*See sub-skills for full details.*
### Batch Extreme Analysis
```python
from digitalmodel.orcaflex.opp_linkedstatistics import OPPLinkedStatistics
from pathlib import Path
import pandas as pd
def batch_extreme_analysis(sim_directory: str, config: dict) -> pd.DataFrame:
"""
Extract extremes from multiple simulations.
"""
extractor = OPPLinkedStatistics()
*See sub-skills for full details.*
### Range Graph Extremes
```python
from digitalmodel.orcaflex.opp_range_graph import OPPRangeGraph
# Extract range graph (min/max/mean along arc length)
range_extractor = OPPRangeGraph()
config = {
"object": "Riser",
"variables": ["Effective Tension", "Curvature", "Bend Moment"],
"arc_length_range": [0, 1500] # meters
*See sub-skills for full details.*
## Related Skills
- [orcaflex-post-processing](../orcaflex-post-processing/SKILL.md) - General post-processing
- [orcaflex-operability](../orcaflex-operability/SKILL.md) - Multi-sea-state analysis
- [orcaflex-results-comparison](../orcaflex-results-comparison/SKILL.md) - Compare multiple results
- [fatigue-analysis](../fatigue-analysis/SKILL.md) - Fatigue from time histories
## References
- OrcaFlex Results: Linked Statistics
- OrcFxAPI Documentation
- Source: `src/digitalmodel/modules/orcaflex/opp_linkedstatistics.py`
- Source: `src/digitalmodel/modules/orcaflex/opp_range_graph.py`
## Sub-Skills
- [Basic Extreme Extraction (+1)](basic-extreme-extraction/SKILL.md)
- [Variable Selection (+2)](variable-selection/SKILL.md)
## Sub-Skills
- [Error Handling](error-handling/SKILL.md)
## Sub-Skills
- [Version Metadata](version-metadata/SKILL.md)
- [[1.0.0] - 2026-01-17](100-2026-01-17/SKILL.md)
- [Linked Statistics (+1)](linked-statistics/SKILL.md)
- [Linked Statistics CSV (+1)](linked-statistics-csv/SKILL.md)
- [1. Design Load Identification (+2)](1-design-load-identification/SKILL.md)
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