菜单
豆豆CAD/3D能力提升方案的核心技能。 接收用户描述，生成JSON参数定义文件，通过FRP隧道发送到M4 Pro执行重计算和渲染。 支持郁金香花瓣等参数化模型生成。
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。
基于 SOC 职业分类
CAD制图编辑器 — 用自然语言生成工程图纸（建筑平面图/机械零件/电气布置/管道系统/结构详图）。 支持DXF文件创建、渲染预览、批量导出。触发词：画平面图、CAD、工程图、建筑图、机械图、电气图、 管道图、结构图、画线/圆/矩形/多边形、尺寸标注、DXF、AutoCAD、施工图、配筋图、齿轮、轴承、 阀门、弯头、三通、法兰、门窗、楼梯、墙体、梁板柱基础、螺栓螺母弹簧垫圈销钉键槽、 开关插座灯具配电箱断路器导线组、直管弯头阀门法兰大小头管帽。
Parametric 3D CAD via build123d. Generate STEP, STL, SVG from Python scripts. Use when the user asks to design, model, create, or export 3D parts, enclosures, mounts, brackets, or mechanical components.
Control local CAD applications on Windows including launching apps, opening files, checking status, closing apps, detecting active or running apps, detecting common executable paths, and saving user-provided executable paths.
LoRa Channel Activity Detection (CAD) scanner for LilyGo T3 v1.6 (ESP32-PICO-D4 + SX1276) with HackRF One support. Scans a configurable frequency range using multiple BW/SF combinations, displays live progress on the SSD1306 OLED, stores detected channels in device RAM, emits structured 15-minute reports over Serial, and sends Telegram notifications for new detections via an OpenClaw cron pipeline. Use when scanning for LoRa devices in a frequency band, setting up a LilyGo T3 as a LoRa scanner/sniffer, building RF monitoring pipelines with Telegram alerting, or doing RF reconnaissance with HackRF + LilyGo together.
| invocation_mode | both |
| preferred_provider | minimax |
| name | skill_cad_generator |
| alias | CAD生成器技能 |
| description | 豆豆CAD/3D能力提升方案的核心技能。 接收用户描述，生成JSON参数定义文件，通过FRP隧道发送到M4 Pro执行重计算和渲染。 支持郁金香花瓣等参数化模型生成。 |
| metadata | {"author":"豆豆","version":"1.0","tags":"cad, 3d, threejs, blender, parametric, m4pro","updated":"2026-04-01T00:00:00.000Z"} |
invocation_mode: both preferred_provider: minimax
豆豆作为参数定义引擎，M4 Pro作为图形工作站的协同架构：
{
"model_type": "tulip_petal",
"params": {
"radius": 45,
"curvature": 0.75,
"twist": 35,
"length": 120,
"segments": 32,
"material": "acrylic",
"color": "#FF69B4"
},
"output": {
"format": "obj",
"preview": "png"
}
}
// 输入：用户描述文本
// 输出：3D模型文件 + 预览图
const result = await skill_cad_generator.generateTulipPetal(userDescription);
// 输入：自然语言描述
// 输出：结构化参数对象
const params = await skill_cad_generator.extractParams(description);