cad は何をしますか？
STEP優先のパラメトリックCADパーツとアセンブリを作成、変更、検査、検証します。自然言語によるCAD仕様、参照画像、2D図面、STEP/STP生成や直接検査、Python CADソース、ソースレベルのジョイント、セレクタ参照、形状情報、測定値、嵌合デルタ、スナップショット、CAD形状からのSTL/3MF/ネイティブGLB出力などに対応します。
STEP優先のパラメトリックCADパーツとアセンブリを作成、変更、検査、検証します。自然言語によるCAD仕様、参照画像、2D図面、STEP/STP生成や直接検査、Python CADソース、ソースレベルのジョイント、セレクタ参照、形状情報、測定値、嵌合デルタ、スナップショット、CAD形状からのSTL/3MF/ネイティブGLB出力などに対応します。
このスキルは、STEP形式を中心としたパラメトリックCADのパーツとアセンブリを作成、変更、検査、検証するための包括的なツールです。主な特徴として、自然言語でのCAD仕様の記述、2D図面や参照画像の入力、STEP/STPファイルの生成・直接検査、Python CADソースコードの管理、ジョイントやセレクタ参照、形状情報や測定値の取得、嵌合デルタの計算、スナップショット生成、さらにSTL、3MF、GLBなどの二次出力形式への変換をサポートします。AIエージェント（Claude Code、Cursor、Codexなど）と連携して動作し、設計タスクを効率化します。
npx skills add https://github.com/earthtojake/text-to-cad/tree/main/skills/cadInstalled? Explore more 画像 skills: steipete/songsee, affaan-m/frontend-design, mattpocock/improve-codebase-architecture · View all 6 →
STEP優先のパラメトリックCADパーツとアセンブリを作成、変更、検査、検証します。自然言語によるCAD仕様、参照画像、2D図面、STEP/STP生成や直接検査、Python CADソース、ソースレベルのジョイント、セレクタ参照、形状情報、測定値、嵌合デルタ、スナップショット、CAD形状からのSTL/3MF/ネイティブGLB出力などに対応します。
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.