# Orcawave To Orcaflex Supported Output Formats

> Sub-skill of orcawave-to-orcaflex: Supported Output Formats (+1).

- Skill: `vamseeachanta/orcawave-to-orcaflex-supported-output-formats` (Agent Skill)
- Install (CLI): `npx skillmds@latest add vamseeachanta/orcawave-to-orcaflex-supported-output-formats`
- Raw SKILL.md: https://api.skillmd.com/api/skills/vamseeachanta/orcawave-to-orcaflex-supported-output-formats/raw
- Safety review: PASS (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: vamseeachanta (https://skillmd.com/u/vamseeachanta)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/vamseeachanta/orcawave-to-orcaflex-supported-output-formats

---


# Supported Output Formats (+1)

## Supported Output Formats


| Format | Extension | Use Case |
|--------|-----------|----------|
| YAML | .yml | OrcaFlex vessel type |
| CSV | .csv | Spreadsheet analysis |
| Excel | .xlsx | Multi-sheet export |
| JSON | .json | API integration |
| OrcaFlex Data | .dat | Direct OrcaFlex import |
| HDF5 | .h5 | Large dataset storage |

## Multi-Format Export


```python
from digitalmodel.diffraction.orcawave_converter import OrcaWaveConverter

# Convert and export to multiple formats
converter = OrcaWaveConverter(vessel)
unified_data = converter.convert()

# Export all formats
converter.export_all_formats(
    unified_data,
    output_directory="exports/",
    base_name="fpso_hydro",
    formats=["yaml", "csv", "xlsx", "json"]
)
```