vamseeachanta
vamseeachanta/workspace-hub
相关职业SOC
基于 SOC 职业分类
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/vamseeachanta/workspace-hub --skill orcaflex-rao-import-orcaflex-yaml-format命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
基于 SOC 职业分类
正在显示 SKILL.md
| name | orcaflex-rao-import-orcaflex-yaml-format |
| description | Sub-skill of orcaflex-rao-import: OrcaFlex YAML Format (+2). |
| version | 1.0.0 |
| category | engineering |
| type | reference |
| scripts_exempt | true |
VesselTypes:
- Name: FPSO_RAOs
DisplacementRAOs:
RAOOrigin: [150.0, 0.0, 0.0] # meters from vessel origin
Directions: [0, 45, 90, 135, 180] # degrees
Periods: [5.0, 7.0, 10.0, 12.0, 15.0, 20.0] # seconds
# Amplitude and Phase for each DOF
# Format: [heading][period]
*See sub-skills for full details.*
## DataFrame Export
```python
# Export to DataFrame for analysis
df = processor.to_dataframe(rao_data)
# Multi-level columns: (DOF, Heading)
# Index: Frequency
print(df.head())
# Surge Sway
# 0 45 90 0 45 90
# 0.02 0.95 0.92 0.88 0.02 0.45 0.92
# 0.05 0.92 0.90 0.85 0.05 0.48 0.95
{
"is_valid": false,
"issues": [
{
"type": "amplitude_exceeded",
"dof": "roll",
"heading": 90,
"frequency": 0.6,
"value": 55.2,
*See sub-skills for full details.*