orcawave-to-orcaflex-supported-output-formats

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

5 stars

Best use case

orcawave-to-orcaflex-supported-output-formats is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

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

Teams using orcawave-to-orcaflex-supported-output-formats 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

$curl -o ~/.claude/skills/supported-output-formats/SKILL.md --create-dirs "https://raw.githubusercontent.com/vamseeachanta/workspace-hub/main/.agents/skills/_archive/engineering/marine-offshore/orcawave-to-orcaflex/supported-output-formats/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/supported-output-formats/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How orcawave-to-orcaflex-supported-output-formats Compares

Feature / Agentorcawave-to-orcaflex-supported-output-formatsStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Sub-skill of orcawave-to-orcaflex: Supported Output Formats (+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

# 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"]
)
```

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