orcaflex-post-processing-1-summary-statistics

Sub-skill of orcaflex-post-processing: 1. Summary Statistics (+4).

5 stars

Best use case

orcaflex-post-processing-1-summary-statistics is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Sub-skill of orcaflex-post-processing: 1. Summary Statistics (+4).

Teams using orcaflex-post-processing-1-summary-statistics 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-summary-statistics/SKILL.md --create-dirs "https://raw.githubusercontent.com/vamseeachanta/workspace-hub/main/.agents/skills/_archive/engineering/marine-offshore/orcaflex-post-processing/1-summary-statistics/SKILL.md"

Manual Installation

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

How orcaflex-post-processing-1-summary-statistics Compares

Feature / Agentorcaflex-post-processing-1-summary-statisticsStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Sub-skill of orcaflex-post-processing: 1. Summary Statistics (+4).

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. Summary Statistics (+4)

## 1. Summary Statistics


Extract min, max, mean, std dev for all monitored variables.

```yaml
orcaflex:
  postprocess:
    summary:
      flag: true
      variables:
        - object: "Line1"
          variable_name: "Effective Tension"
        - object: "Vessel1"
          variable_name: "X"
      output_format: csv  # csv, json, or xlsx
      output_path: "results/summary/"
```

## 2. Linked Statistics


Compute correlations and linked values between variables.

```yaml
orcaflex:
  postprocess:
    linked_statistics:
      flag: true
      primary_variable:
        object: "Line1"
        variable_name: "Effective Tension"

*See sub-skills for full details.*

## 3. Range Graphs


Generate envelope plots showing variable ranges.

```yaml
orcaflex:
  postprocess:
    RangeGraph:
      flag: true
      objects:
        - name: "Line1"
          variables:

*See sub-skills for full details.*

## 4. Time Series


Extract and plot time-domain data.

```yaml
orcaflex:
  postprocess:
    time_series:
      flag: true
      variables:
        - object: "Vessel1"
          variable_name: "X"

*See sub-skills for full details.*

## 5. Histograms


Generate probability distributions.

```yaml
orcaflex:
  postprocess:
    visualization:
      flag: true
      histogram:
        enabled: true
        variables:

*See sub-skills for full details.*

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