orcaflex-file-conversion-1-version-control-preparation
Sub-skill of orcaflex-file-conversion: 1. Version Control Preparation (+3).
Best use case
orcaflex-file-conversion-1-version-control-preparation is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Sub-skill of orcaflex-file-conversion: 1. Version Control Preparation (+3).
Teams using orcaflex-file-conversion-1-version-control-preparation 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/1-version-control-preparation/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How orcaflex-file-conversion-1-version-control-preparation Compares
| Feature / Agent | orcaflex-file-conversion-1-version-control-preparation | 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-file-conversion: 1. Version Control Preparation (+3).
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
# 1. Version Control Preparation (+3)
## 1. Version Control Preparation
Convert binary .dat files to YAML for Git tracking:
```bash
python -m digitalmodel.orcaflex.examples_integration.batch_converter \
--input-dir models/ \
--output-dir models_version_control/ \
--pattern "*.dat"
# Commit YAML files to Git
git add models_version_control/*.yml
git commit -m "Add OrcaFlex models in YAML format"
```
## 2. Automated Model Generation
Generate .dat files from YAML templates:
```python
import OrcFxAPI
from pathlib import Path
import yaml
# Load YAML template
with open("template.yml") as f:
config = yaml.safe_load(f)
*See sub-skills for full details.*
## 3. Batch Analysis Preparation
Convert 180+ example files for analysis:
```python
from digitalmodel.orcaflex.examples_integration.batch_converter import OrcaFlexBatchConverter
from pathlib import Path
# Convert all examples
converter = OrcaFlexBatchConverter(
input_dir=Path("docs/modules/orcaflex/examples/raw"),
output_dir=Path("docs/modules/orcaflex/examples/yaml"),
*See sub-skills for full details.*
## 4. Model Inspection and Debugging
Convert .dat to .yml for inspection:
```bash
# Convert problematic model to YAML
python -m digitalmodel.orcaflex.orcaflex_yml_converter problem_model.dat
# Inspect YAML in text editor
code problem_model.yml
# Make corrections in YAML
# Convert back to .dat
python -m digitalmodel.orcaflex.orcaflex_yml_converter problem_model.yml
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