orcaflex-file-conversion-pattern-based-conversion
Sub-skill of orcaflex-file-conversion: Pattern-Based Conversion (+1).
Best use case
orcaflex-file-conversion-pattern-based-conversion is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Sub-skill of orcaflex-file-conversion: Pattern-Based Conversion (+1).
Teams using orcaflex-file-conversion-pattern-based-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
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/pattern-based-conversion/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How orcaflex-file-conversion-pattern-based-conversion Compares
| Feature / Agent | orcaflex-file-conversion-pattern-based-conversion | 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: Pattern-Based Conversion (+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
# Pattern-Based Conversion (+1)
## Pattern-Based Conversion
```python
from pathlib import Path
from digitalmodel.orcaflex.examples_integration.batch_converter import OrcaFlexBatchConverter
converter = OrcaFlexBatchConverter(
input_dir=Path("docs/modules/orcaflex/examples/raw"),
output_dir=Path("docs/modules/orcaflex/examples/yaml"),
validate=True
)
*See sub-skills for full details.*
## Parallel Processing
```python
from concurrent.futures import ProcessPoolExecutor
from pathlib import Path
def convert_file_wrapper(file_path):
"""Wrapper for parallel conversion."""
from digitalmodel.orcaflex.orcaflex_yml_converter import convert_to_yml
return convert_to_yml(str(file_path))
# Get all .dat files
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