# Orcaflex Monolithic To Modular

> Convert monolithic OrcaFlex models (.dat/.yml) to spec-driven modular format with semantic validation for round-trip fidelity.

- Skill: `vamseeachanta/orcaflex-monolithic-to-modular` (Agent Skill)
- Install (CLI): `npx skillmds@latest add vamseeachanta/orcaflex-monolithic-to-modular`
- Raw SKILL.md: https://api.skillmd.com/api/skills/vamseeachanta/orcaflex-monolithic-to-modular/raw
- Safety review: PASS (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: vamseeachanta (https://skillmd.com/u/vamseeachanta)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/vamseeachanta/orcaflex-monolithic-to-modular

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# 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](../orcaflex-model-generator/SKILL.md) - Builder registry and generation architecture
- [orcaflex-yaml-gotchas](../orcaflex-yaml-gotchas/SKILL.md) - Production OrcaFlex YAML traps
- [orcaflex-environment-config](../orcaflex-environment-config/SKILL.md) - 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/`

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## 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](architecture/SKILL.md)
- [Step 1: Convert .dat to .yml (if needed) (+4)](step-1-convert-dat-to-yml-if-needed/SKILL.md)
- [Section Mapping (+2)](section-mapping/SKILL.md)
- [Significance Levels (+2)](significance-levels/SKILL.md)
- [Output Structure](output-structure/SKILL.md)
- [Common Issues and Fixes](common-issues-and-fixes/SKILL.md)
- [Benchmark Results (2026-02-10)](benchmark-results-2026-02-10/SKILL.md)