orcaflex-monolithic-to-modular-section-mapping
Sub-skill of orcaflex-monolithic-to-modular: Section Mapping (+2).
Best use case
orcaflex-monolithic-to-modular-section-mapping is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Sub-skill of orcaflex-monolithic-to-modular: Section Mapping (+2).
Teams using orcaflex-monolithic-to-modular-section-mapping should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/section-mapping/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How orcaflex-monolithic-to-modular-section-mapping Compares
| Feature / Agent | orcaflex-monolithic-to-modular-section-mapping | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Sub-skill of orcaflex-monolithic-to-modular: Section Mapping (+2).
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Section Mapping (+2) ## Section Mapping The extractor uses three mapping dicts from `schema/generic.py`: | Mapping | Purpose | Example | |---------|---------|---------| | `FIELD_TO_SECTION` | spec field → OrcaFlex YAML key | `"line_types"` → `"LineTypes"` | | `SINGLETON_SECTIONS` | singleton section → field | `"FrictionCoefficients"` → `"friction_coefficients"` | | `TYPED_FIELD_MAP` | typed field → OrcaFlex prop | `"mass"` → `"Mass"` | ## Section Name Aliases OrcaFlex `SaveData()` exports may use different section names than the API: | YAML Export Name | API/Internal Name | |-----------------|-------------------| | `Groups` | `BrowserGroups` | | `FrictionCoefficients` | `SolidFrictionCoefficients` | The extractor handles both via `_SECTION_ALIASES` fallback in `_extract_singleton()`. ## Object Extraction Strategy For each object in a list section: 1. Keys in `TYPED_FIELD_MAP` → extracted as typed Pydantic fields 2. All other keys → placed in `properties` dict (pass-through bag) 3. Both recombined by builder's `_merge_object()` during generation
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