orcaflex-static-debug-minimal-reproducible-model

Sub-skill of orcaflex-static-debug: Minimal Reproducible Model (+1).

5 stars

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

$curl -o ~/.claude/skills/minimal-reproducible-model/SKILL.md --create-dirs "https://raw.githubusercontent.com/vamseeachanta/workspace-hub/main/.agents/skills/_archive/engineering/marine-offshore/orcaflex-static-debug/minimal-reproducible-model/SKILL.md"

Manual Installation

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

How orcaflex-static-debug-minimal-reproducible-model Compares

Feature / Agentorcaflex-static-debug-minimal-reproducible-modelStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/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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