Orcaflex Monolithic To Modular

When to Use

• Converting .dat / .yml OrcaFlex models to portable spec.yml format
• Creating reusable component libraries from existing models
• Validating that modular output is semantically equivalent to monolithic source
• Preparing models for parametric studies or automated benchmarking
• Building a spec.yml foundation for any new OrcaFlex model

Related Skills

• orcaflex-model-generator - Builder registry and generation architecture
• orcaflex-yaml-gotchas - Production OrcaFlex YAML traps
• orcaflex-environment-config - Environment configuration

References

• Extractor: src/digitalmodel/solvers/orcaflex/modular_generator/extractor.py
• Schema: src/digitalmodel/solvers/orcaflex/modular_generator/schema/generic.py
• Semantic validator: scripts/semantic_validate.py
• Benchmark: scripts/benchmark_model_library.py
• Spec library: docs/modules/orcaflex/library/tier2_fast/

Version History

• 2.0.0 (2026-02-10): Complete rewrite. Documents actual MonolithicExtractor pipeline, section name aliases, semantic validation, Pydantic integration, and benchmark results.
• 1.0.0 (2026-01-21): Initial release with manual splitting approach.

Sub-Skills

• Architecture
• Step 1: Convert .dat to .yml (if needed) (+4)
• Section Mapping (+2)
• Significance Levels (+2)
• Output Structure
• Common Issues and Fixes
• Benchmark Results (2026-02-10)