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Sub-skill of orcaflex-mooring-iteration: 1. Scipy Optimization (Recommended) (+2).
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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.
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基于 SOC 职业分类
| name | orcaflex-mooring-iteration-1-scipy-optimization-recommended |
| description | Sub-skill of orcaflex-mooring-iteration: 1. Scipy Optimization (Recommended) (+2). |
| version | 1.0.0 |
| category | engineering |
| type | reference |
| scripts_exempt | true |
Uses scipy.optimize.fsolve for robust multi-variable root finding.
Best for:
Multi-dimensional Newton-Raphson with numerical Jacobian.
Best for:
Uses effective axial stiffness from catenary equations.
Best for: