القائمة
Sub-skill of orcaflex-monolithic-to-modular: Section Mapping (+2).
يُحدَّد Prompt الذي يراجع المصدر أولًا بشكل افتراضي. يمكنك التبديل إلى أمر مباشر أو تنزيل نسخة محلية.
اقرأ SKILL.md وأي ملفات مرافقة يعرضها SkillsMP قبل أن تقرر التثبيت.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
يتجاوز الأمر المباشر Prompt المخصّص للمراجعة. افحص المصدر قبل تشغيله.
npx skills add https://github.com/vamseeachanta/workspace-hub --skill orcaflex-monolithic-to-modular-section-mappingيبقى الأمر في سطر واحد. مرّر أفقيًا لمراجعته كاملًا قبل النسخ.
تفضّل نسخة محلية؟ نزّل الملفات المتاحة حاليًا لدى SkillsMP.
Write outbound email and external messages in Vamsee Achanta's voice — a subtle offer to help, never bold or rash claims. Load before drafting ANY email, LinkedIn/Collide reply, proposal note, or outreach sent under his name.
Save/publish analysis or computation results from ANY ecosystem repo to Hugging Face as a queryable, viewer-renderable dataset. Use when the user wants to "save results to hugging face", "publish dataset to HF", "hugging face data saving", "save analysis results", "hf dataset", "make results queryable", or "render via datasets-server API". Reshapes nested results into flat parquet tables, writes a dataset card with a viewer `configs:` block and provenance, applies license/public-vs-private routing, enforces a domain data-quality gate (faithful-to-source != correct), publishes to `aceengineer/<repo>-<projection>`, and verifies via the datasets-server API.
Clone, create, fork, configure, and manage GitHub repositories. Manage remotes, secrets, releases, and workflows. Works with gh CLI or falls back to git + GitHub REST API via curl.
عرض SKILL.md
استنادا إلى تصنيف SOC المهني
| name | orcaflex-monolithic-to-modular-section-mapping |
| description | Sub-skill of orcaflex-monolithic-to-modular: Section Mapping (+2). |
| version | 2.0.0 |
| category | engineering |
| type | reference |
| scripts_exempt | true |
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" |
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().
For each object in a list section:
TYPED_FIELD_MAP → extracted as typed Pydantic fieldsproperties dict (pass-through bag)_merge_object() during generation