yaml-configuration

name	yaml-configuration
version	1.0.0
description	YAML for configuration-driven engineering workflows, model setup, and analysis parameters
type	reference
author	workspace-hub
category	data
tags	["yaml","configuration","engineering","orcaflex","automation","data-structures"]
platforms	["yaml","python"]
capabilities	[]
requires	[]

Yaml Configuration

When to Use This Skill

Use YAML configuration when you need:

• Configuration-driven workflows - Separate data from code
• Reproducible analyses - Version-controlled parameters
• Model templates - Reusable configurations
• Complex nested structures - Hierarchical data organization
• Human-readable configs - Easy to review and modify
• Automated model generation - OrcaFlex, FEA, CAD models

Avoid when:

• Binary data needed (use pickle, HDF5)
• Extremely large datasets (use CSV, databases)
• Real-time performance critical (use JSON)

Resources

• YAML Official Spec: https://yaml.org/spec/
• PyYAML Documentation: https://pyyaml.org/wiki/PyYAMLDocumentation
• YAML Lint: http://www.yamllint.com/
• JSON Schema: https://json-schema.org/

---

Use this skill to create maintainable, version-controlled configurations for all DigitalModel analyses!

Sub-Skills

• 1. Basic YAML Syntax (+1)
• 1. Use Consistent Indentation (+4)

Sub-Skills

• Example 1: OrcaFlex Mooring Configuration (+5)
• Loading YAML in Python (+3)
• Pattern 1: Configuration Hierarchy (+2)
• Installation