orcaflex-file-conversion

Convert OrcaFlex files between formats (.dat, .yml, .sim) for digital analysis and automation. Supports bidirectional conversion, batch processing, and format standardization.

5 stars

Best use case

orcaflex-file-conversion is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Convert OrcaFlex files between formats (.dat, .yml, .sim) for digital analysis and automation. Supports bidirectional conversion, batch processing, and format standardization.

Teams using orcaflex-file-conversion 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/file-conversion/SKILL.md --create-dirs "https://raw.githubusercontent.com/vamseeachanta/workspace-hub/main/.agents/skills/engineering/marine-offshore/orcaflex/file-conversion/SKILL.md"

Manual Installation

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

How orcaflex-file-conversion Compares

Feature / Agentorcaflex-file-conversionStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Convert OrcaFlex files between formats (.dat, .yml, .sim) for digital analysis and automation. Supports bidirectional conversion, batch processing, and format standardization.

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

# Orcaflex File Conversion

## When to Use

- Converting .dat files to .yml for human-readable inspection
- Converting .yml files back to .dat for OrcaFlex execution
- Converting .sim files to both .dat and .yml formats
- Batch processing multiple OrcaFlex files
- Preparing files for digital analysis and automation
- Creating version-control-friendly YAML representations
- Standardizing file formats across projects

## Prerequisites

- OrcaFlex license (for OrcFxAPI)
- Python environment with `digitalmodel` package installed
- OrcFxAPI Python module configured

## Quick Start

### Single File Conversion

```bash
# Convert .dat to .yml
python -m digitalmodel.orcaflex.orcaflex_yml_converter model.dat

# Convert .yml to .dat
python -m digitalmodel.orcaflex.orcaflex_yml_converter model.yml
```
### Batch Conversion

```bash
# Convert all .dat files in directory
python -m digitalmodel.orcaflex.examples_integration.batch_converter \
    --input-dir models/ \
    --output-dir models_yml/ \
    --pattern "*.dat"

# Convert with validation
python -m digitalmodel.orcaflex.examples_integration.batch_converter \
    --input-dir models/ \
    --output-dir models_yml/ \
    --validate \
    --max-retries 3
```

## Python API

### Basic Conversion

```python
from digitalmodel.orcaflex.orcaflex_yml_converter import convert_to_yml
from pathlib import Path

# Convert single file
success = convert_to_yml("model.dat")

# Check output
if success:
    yml_file = Path("model.yml")
    print(f"Converted to: {yml_file}")
```
### Batch Conversion with Progress Tracking

```python
from digitalmodel.orcaflex.examples_integration.batch_converter import OrcaFlexBatchConverter
from pathlib import Path

# Initialize converter
converter = OrcaFlexBatchConverter(
    input_dir=Path("models/"),
    output_dir=Path("models_yml/"),
    use_mock=False,      # Use real OrcFxAPI
    validate=True,       # Validate converted files

*See sub-skills for full details.*
### Advanced: Bidirectional Conversion

```python
import OrcFxAPI
from pathlib import Path

def convert_yml_to_dat(yml_file: str, dat_file: str = None):
    """Convert YAML to binary .dat format."""
    yml_path = Path(yml_file)

    # Default output path
    if dat_file is None:

*See sub-skills for full details.*
### Simulation File Conversion

```python
from digitalmodel.orcaflex.examples_integration.orcfxapi_converter import OrcFxAPIConverter
from pathlib import Path

# Initialize converter for .sim files
converter = OrcFxAPIConverter(
    input_dir=Path("results/.sim/"),
    preserve_originals=True
)


*See sub-skills for full details.*

## Related Skills

- [orcaflex-modeling](../orcaflex-modeling/SKILL.md) - Run OrcaFlex simulations
- [orcaflex-post-processing](../orcaflex-post-processing/SKILL.md) - Process simulation results

## References

- Existing Converters:
  - `src/digitalmodel/modules/orcaflex/orcaflex_yml_converter.py`
  - `src/digitalmodel/modules/orcaflex/examples_integration/batch_converter.py`
  - `src/digitalmodel/modules/orcaflex/examples_integration/orcfxapi_converter.py`
- OrcFxAPI Documentation
- YAML Specification: https://yaml.org/

---

## Version History

- **1.0.0** (2026-01-02): Initial release with bidirectional conversion, batch processing, and comprehensive reporting

## Sub-Skills

- [Batch Converter Options (+1)](batch-converter-options/SKILL.md)
- [File Organization (+1)](file-organization/SKILL.md)

## Sub-Skills

- [Version Metadata](version-metadata/SKILL.md)
- [[1.0.0] - 2026-01-07](100-2026-01-07/SKILL.md)
- [OrcaFlex File Types (+1)](orcaflex-file-types/SKILL.md)
- [Pattern-Based Conversion (+1)](pattern-based-conversion/SKILL.md)
- [Conversion Report (Markdown)](conversion-report-markdown/SKILL.md)
- [Summary](summary/SKILL.md)
- [Success Rate: 98.9%](success-rate-989/SKILL.md)
- [Conversion Report (JSON)](conversion-report-json/SKILL.md)
- [Example OrcaFlex YAML Output](example-orcaflex-yaml-output/SKILL.md)
- [YAML Structure Validation (+1)](yaml-structure-validation/SKILL.md)
- [Adding Conversion to Universal CLI](adding-conversion-to-universal-cli/SKILL.md)
- [1. Version Control Preparation (+3)](1-version-control-preparation/SKILL.md)
- [Common Issues](common-issues/SKILL.md)
- [Benchmarks (+1)](benchmarks/SKILL.md)

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