cad 是做什么的？
创建、修改、检查并验证以STEP格式优先的参数化CAD零件与装配体。适用于自然语言CAD规格、参考图像、2D技术图纸、STEP/STP生成或直接检查、Python CAD源码、源级关节、选择器引用、几何事实、测量、配合差异、快照以及从CAD几何体生成的STL/3MF/原生GLB辅助输出。
创建、修改、检查并验证以STEP格式优先的参数化CAD零件与装配体。适用于自然语言CAD规格、参考图像、2D技术图纸、STEP/STP生成或直接检查、Python CAD源码、源级关节、选择器引用、几何事实、测量、配合差异、快照以及从CAD几何体生成的STL/3MF/原生GLB辅助输出。
该技能“earthtojake/cad”是一个专注于STEP优先参数化CAD零件与装配体创建、修改、检查和验证的强大工具。它支持用户通过自然语言描述CAD规格，处理参考图像和2D技术图纸，以及直接生成或检查STEP/STP文件。此外，它还允许使用Python编写CAD源码，定义源级关节和选择器引用，查询几何事实和进行精确测量，计算配合差异，并创建快照。最终，用户可以导出STL、3MF或原生GLB格式的辅助文件，便于进一步使用。该技能适用于多种AI代理平台（如Claude Code、Cursor等），通过全面的功能集简化了从概念到模型再到输出文件的完整CAD工作流程。
npx skills add https://github.com/earthtojake/text-to-cad/tree/main/skills/cadInstalled? Explore more 图像 skills: steipete/songsee, affaan-m/frontend-design, mattpocock/improve-codebase-architecture · View all 6 →
创建、修改、检查并验证以STEP格式优先的参数化CAD零件与装配体。适用于自然语言CAD规格、参考图像、2D技术图纸、STEP/STP生成或直接检查、Python CAD源码、源级关节、选择器引用、几何事实、测量、配合差异、快照以及从CAD几何体生成的STL/3MF/原生GLB辅助输出。
This repo contains 6 individual skills — each has its own dedicated page.
Start or reuse the CAD Explorer viewer, return review links, and create saved snapshots for explicit CAD and robot-description files. Use when rendering or visually reviewing `.step`, `.stp`, `.glb`, `.stl`, `.3mf`, `.dxf`, `.urdf`, `.srdf`, or `.sdf` files, especially when handed off from CAD, URDF, SRDF, or SDF generation skills.
SDFormat/SDF model and world generation, validation, and simulator handoff. Use for `.sdf` files, SDFormat XML, Python `gen_sdf()` sources, models, worlds, links, joints, poses, frames, inertials, visual/collision geometry, mesh URIs, sensors, lights, physics, plugins, includes, Gazebo, static SDF review, or simulator-specific metadata. Do not use for signed-distance-field geometry.
Review DXF and STEP/STP uploads for SendCutSend.com orders using its ordering guide, catalog, and specs. Use only for SendCutSend.com preflight reports covering upload readiness, selected material/SKU/thickness/service availability, and service-specific checks for laser cutting, CNC routing, bending, tapping, countersinking, hardware insertion, and finishing.
MoveIt2 SRDF generation, validation, and planning-semantics workflow. Use when creating, editing, regenerating, inspecting, or validating `.srdf` files, `gen_srdf()` sources, MoveIt planning groups, virtual joints, passive joints, end effectors, group states, disabled collisions, URDF-linked planning semantics, or SRDF handoff for live review. Use the URDF skill for robot structure, the SDF skill for simulator descriptions, and the cad-viewer skill for rendering, live review links, and optional MoveIt2 controls.
Find, evaluate, and download common purchasable CAD parts from step.parts, including named off-the-shelf actuators, servos, motors, electronics boards, connectors, screws, bolts, nuts, washers, bearings, standoffs, and other catalog components. Use when Codex needs to search the hosted step.parts catalog before creating simplified placeholder geometry, resolve fuzzy part names, standards, aliases, or dimensions, choose a matching part, fetch a canonical .step file, verify checksums, or use the step.parts API/OpenAPI/catalog endpoints for standard part discovery.
URDF robot description generation and default generation-time validation. Use when creating, editing, regenerating, inspecting, or debugging `.urdf` files, Python `gen_urdf()` sources, robot links, joints, limits, inertials, visual/collision geometry, mesh references, frame conventions, or generated robot-description artifacts. Use the SRDF skill for MoveIt2 semantic groups and IK/path-planning semantics; use the cad-viewer skill for local MoveIt2 server controls; use the CAD skill for STEP/STL/3MF/DXF/GLB outputs.
Generate spectrograms and feature-panel visualizations from audio with the songsee CLI.
Create distinctive, production-grade frontend interfaces with high design quality. Use when the user asks to build web components, pages, or applications and the visual direction matters as much as the code quality.
Scan a codebase for deepening opportunities, present them as a visual HTML report, then grill through whichever one you pick.
Add documentation for a new AI provider — usage docs, env vars, Docker config, image resources.
Tests in real browsers via Chrome DevTools MCP. Use when building or debugging anything that runs in a browser. Use when you need to inspect the DOM, capture console errors, analyze network requests, profile performance, or verify visual output with real runtime data. Requires the chrome-devtools MCP server to be configured.
This skill should be used when the user wants to visualize data. It intelligently selects the most suitable chart type from 26 available options, extracts parameters based on detailed specifications, and generates a chart image using a JavaScript script.