orcaflex-specialist-1-model-organization

Sub-skill of orcaflex-specialist: 1. Model Organization (+2).

5 stars

Best use case

orcaflex-specialist-1-model-organization is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Sub-skill of orcaflex-specialist: 1. Model Organization (+2).

Teams using orcaflex-specialist-1-model-organization 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/1-model-organization/SKILL.md --create-dirs "https://raw.githubusercontent.com/vamseeachanta/workspace-hub/main/.agents/skills/_archive/engineering/marine-offshore/orcaflex-specialist/1-model-organization/SKILL.md"

Manual Installation

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

How orcaflex-specialist-1-model-organization Compares

Feature / Agentorcaflex-specialist-1-model-organizationStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Sub-skill of orcaflex-specialist: 1. Model Organization (+2).

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. Model Organization (+2)

## 1. Model Organization


```python
# Naming conventions
NAMING_CONVENTIONS = {
    'vessels': 'VesselName',  # e.g., 'FPSO', 'FSO_1'
    'lines': 'Mooring_N' or 'Riser_N',  # e.g., 'Mooring_1', 'Riser_2'
    'buoys': 'Buoy_N' or 'Subsurface_Buoy_N',
    '6d_buoys': '6DBuoy_N',
    'winches': 'Winch_N',
    'line_types': 'Descriptive_Name',  # e.g., 'R4_Studless_Chain', '76mm_Wire'
}

# Model structure best practices
MODEL_STRUCTURE = {
    'stages': [
        'Build-up',  # 100-200s
        'Main simulation',  # 3600-10800s
        'Optional: Transient event'
    ],
    'time_steps': {
        'inner': 0.01,  # 0.01-0.05s
        'log_sample': 0.1  # 0.1-1.0s
    }
}
```


## 2. Simulation Settings


```python
# Recommended simulation settings
SIMULATION_SETTINGS = {
    'implicit': {
        'use_variable_timestep': 'Yes',
        'target_log_sample_interval': 0.1,
        'inner_timestep': 0.01,
        'max_iterations': 20,
        'tolerance': 1e-6
    },
    'explicit': {
        'timestep': 0.001,  # Much smaller for explicit
        'log_sample_interval': 0.1
    }
}
```


## 3. Error Handling


```python
def safe_simulation_run(
    model: OrcFxAPI.Model,
    max_retries: int = 3
) -> bool:
    """
    Run simulation with error handling and retries.

    Args:
        model: OrcaFlex model
        max_retries: Maximum number of retry attempts

    Returns:
        True if successful, False otherwise
    """
    for attempt in range(max_retries):
        try:
            model.RunSimulation()
            return True
        except OrcFxAPI.DynamicsError as e:
            print(f"Dynamics error (attempt {attempt+1}): {e}")
            # Try reducing time step
            current_dt = model.general.InnerTimeStep
            model.general.InnerTimeStep = current_dt * 0.5
            print(f"Reducing time step to {model.general.InnerTimeStep}")
        except Exception as e:
            print(f"Unexpected error: {e}")
            return False

    return False
```

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