orcaflex-post-processing-parallel-processing-details
Sub-skill of orcaflex-post-processing: Parallel Processing Details.
Best use case
orcaflex-post-processing-parallel-processing-details is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Sub-skill of orcaflex-post-processing: Parallel Processing Details.
Teams using orcaflex-post-processing-parallel-processing-details 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/parallel-processing-details/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How orcaflex-post-processing-parallel-processing-details Compares
| Feature / Agent | orcaflex-post-processing-parallel-processing-details | 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-post-processing: Parallel Processing Details.
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
# Parallel Processing Details
## Parallel Processing Details
The OPP module uses `ProcessPoolExecutor` for efficient batch processing:
```python
# From opp.py - parallel processing pattern
from concurrent.futures import ProcessPoolExecutor, as_completed
def process_sim_files_parallel(sim_files, cfg, max_workers=4):
"""Process multiple .sim files in parallel."""
results = {}
with ProcessPoolExecutor(max_workers=max_workers) as executor:
future_to_file = {
executor.submit(process_single_sim, f, cfg): f
for f in sim_files
}
for future in as_completed(future_to_file):
file_name = future_to_file[future]
try:
result = future.result()
results[file_name] = result
except Exception as e:
results[file_name] = {"error": str(e)}
return results
```Related Skills
OrcaFlex Specialist Skill
```yaml
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