orcaflex-static-debug-minimal-reproducible-model
Sub-skill of orcaflex-static-debug: Minimal Reproducible Model (+1).
Best use case
orcaflex-static-debug-minimal-reproducible-model is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Sub-skill of orcaflex-static-debug: Minimal Reproducible Model (+1).
Teams using orcaflex-static-debug-minimal-reproducible-model 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/minimal-reproducible-model/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How orcaflex-static-debug-minimal-reproducible-model Compares
| Feature / Agent | orcaflex-static-debug-minimal-reproducible-model | 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-static-debug: Minimal Reproducible Model (+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.
Related Guides
SKILL.md Source
# Minimal Reproducible Model (+1)
## Minimal Reproducible Model
When debugging, create a stripped-down model that isolates the failing component:
```python
import OrcFxAPI
def create_minimal_debug_model(failing_model_path, suspect_line_name):
"""Create a minimal model with only the suspect line for debugging."""
model = OrcFxAPI.Model()
model.LoadData(failing_model_path)
# Remove all lines except the suspect
for obj in list(model.objects):
if obj.typeName == "Line" and obj.name != suspect_line_name:
model.DestroyObject(obj)
# Simplify environment
env = model.environment
env.WaveType = "None"
# Save debug model
debug_path = failing_model_path.replace(".yml", "_debug.yml")
model.SaveData(debug_path)
return debug_path
```
## YAML Debug Template
```yaml
# Minimal model for static debugging
General:
WaterDepth: 1000
StaticsDamping: 50
StaticsMaxIterations: 200
StaticsTolerance: 1e-4
Environment:
WaveType: None
RefCurrentSpeed: 0
WindSpeed: 0
LineTypes:
- Name: "Debug_Chain"
Category: General
OD: 0.084
MassPerUnitLength: 145
EA: 850000000
EI: 0
Lines:
- Name: "Debug_Line"
LineType: ["Debug_Chain"]
Length: [500]
TargetSegmentLength: [10]
EndAConnection: Anchored
EndAX: -400
EndAY: 0
EndAZ: -1000
EndBConnection: Fixed
EndBX: 0
EndBY: 0
EndBZ: -20
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