Agent skill · Design & Presentation

orcaflex-extreme-analysis

Extract extreme response values with linked statistics from OrcaFlex simulations. Use for design load identification, max/min extraction with associated values, and extreme event characterization.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill orcaflex-extreme-analysis-vamseeachanta-digitalmodel-2 --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 12 KB
Bundled scripts: none
Version: 1.0.0
Path: skills/analysis/orcaflex-extreme-analysis-vamseeachanta-digitalmodel-2/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# OrcaFlex Extreme Analysis Skill Extract extreme response values with linked statistics for design load identification and extreme event characterization. ## Version Metadata ```yaml version: 1.0.0 python_min_version: '3.10' dependencies: orcaflex-modeling: '>=2.0.0,<3.0.0' orcaflex-post-processing: '>=1.0.0,<2.0.0' orcaflex_version: '>=11.0' compatibility: tested_python: - '3.10' - '3.11' - '3.12' - '3.13' os: - Windows - Linux - macOS ``` ## Changelog ### [1.0.0] - 2026-01-17 **Added:** - Initial release with linked statistics extraction - Max/min value extraction with timestamps - Associated variable extraction at extremes - Batch processing across multiple simulations ## When to Use - Extracting maximum/minimum values from simulations - Identifying design loads for structural analysis - Finding associated values at extreme events - Characterizing vessel motions at peak tensions - Riser curvature at maximum tension conditions - Wave conditions at extreme responses - Multi-variable correlation at extremes ## Prerequisites - OrcaFlex simulation results (.sim files) - Python environment with `digitalmodel` package installed - Knowledge of variables to extract (object names, variab

What's inside
Steps it walks through
  1. Version Metadata
  2. Changelog
  3. [1.0.0] - 2026-01-17
  4. When to Use
  5. Prerequisites
  6. Key Concepts
  7. Linked Statistics
  8. Extreme Types
  9. Configuration
  10. Basic Extreme Extraction
  11. Multi-Object Analysis
  12. Python API
  13. Basic Linked Statistics
  14. Direct OrcFxAPI Usage
Ships with 1 file
  • metadata.json
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About this skill
What does the orcaflex-extreme-analysis skill do?

Extract extreme response values with linked statistics from OrcaFlex simulations. Use for design load identification, max/min extraction with associated values, and extreme event characterization.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill orcaflex-extreme-analysis-vamseeachanta-digitalmodel-2 --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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