Agent skill
yaml-configuration
YAML for configuration-driven engineering workflows, model setup, and analysis parameters
Install this agent skill to your Project
npx add-skill https://github.com/vamseeachanta/workspace-hub/tree/main/.claude/skills/data/scientific/yaml-configuration
SKILL.md
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
Recommended Agent Skills
Expand your agent's capabilities with these related and highly-rated skills.
gsd-complete-milestone
Archive completed milestone and prepare for next version
gsd-reapply-patches
Reapply local modifications after a GSD update
gsd-verify-work
Validate built features through conversational UAT
gsd-thread
Manage persistent context threads for cross-session work
clinical-trial-protocol
Generate clinical trial protocols for medical devices or drugs through a modular, waypoint-based architecture with research-only and full protocol modes.
single-cell-rna-qc
Performs quality control on single-cell RNA-seq data (.h5ad or .h5 files) using scverse best practices with MAD-based filtering and comprehensive visualizations.
Didn't find tool you were looking for?