orcaflex-extreme-analysis-basic-extreme-extraction

Sub-skill of orcaflex-extreme-analysis: Basic Extreme Extraction (+1).

5 stars

Best use case

orcaflex-extreme-analysis-basic-extreme-extraction is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Sub-skill of orcaflex-extreme-analysis: Basic Extreme Extraction (+1).

Teams using orcaflex-extreme-analysis-basic-extreme-extraction 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/basic-extreme-extraction/SKILL.md --create-dirs "https://raw.githubusercontent.com/vamseeachanta/workspace-hub/main/.agents/skills/_archive/engineering/marine-offshore/orcaflex-extreme-analysis/basic-extreme-extraction/SKILL.md"

Manual Installation

Download SKILL.md from GitHub
Place it in .claude/skills/basic-extreme-extraction/SKILL.md inside your project
Restart your AI agent — it will auto-discover the skill

How orcaflex-extreme-analysis-basic-extreme-extraction Compares

Feature / Agent	orcaflex-extreme-analysis-basic-extreme-extraction	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-extreme-analysis: Basic Extreme Extraction (+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

# Basic Extreme Extraction (+1)

## Basic Extreme Extraction


```yaml
# configs/extreme_analysis.yml

orcaflex:
  postprocess:
    linked_statistics:
      flag: true

      # Primary variable (extremes will be found for this)
      primary:
        object: "Mooring_Line_1"
        variable: "Effective Tension"

      # Linked variables (values at primary's extremes)
      linked:
        - object: "Vessel"
          variable: "Heave"
        - object: "Vessel"
          variable: "Pitch"
        - object: "Vessel"
          variable: "Roll"
        - object: "Vessel"
          variable: "X"

      # Statistics to extract
      statistics:
        - "Max"
        - "Min"
        - "TimeOfMax"
        - "TimeOfMin"
        - "LinkedValueAtMax"
        - "LinkedValueAtMin"

      output:
        format: csv
        directory: "results/extremes/"
```


## Multi-Object Analysis


```yaml
# configs/extreme_multi_object.yml

orcaflex:
  postprocess:
    linked_statistics:
      flag: true

      # Analyze multiple primary objects
      groups:
        - name: "mooring_tensions"
          primaries:
            - object: "Leg_1"
              variable: "Effective Tension"
            - object: "Leg_2"
              variable: "Effective Tension"
            - object: "Leg_3"
              variable: "Effective Tension"
          linked:
            - object: "CALM_Buoy"
              variable: "X"
            - object: "CALM_Buoy"
              variable: "Y"

        - name: "vessel_motions"
          primaries:
            - object: "Tanker"
              variable: "Heave"
            - object: "Tanker"
              variable: "Pitch"
          linked:
            - object: "Hawser"
              variable: "Effective Tension"

      output:
        format: csv
        directory: "results/extremes/"
        separate_files: true
```

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