render 是做什麼的？
啟動或重複使用 CAD Explorer 檢視器，返回審查連結，並為特定的 CAD 和機器人描述檔案建立已儲存的快照。在需要渲染或視覺審查 .step、.stp、.glb、.stl、.3mf、.dxf、.urdf、.srdf 或 .sdf 檔案時使用，特別是從 CAD、URDF、SRDF 或 SDF 生成技能交辦時。
啟動或重複使用 CAD Explorer 檢視器，返回審查連結，並為特定的 CAD 和機器人描述檔案建立已儲存的快照。在需要渲染或視覺審查 `.step`、`.stp`、`.glb`、`.stl`、`.3mf`、`.dxf`、`.urdf`、`.srdf` 或 `.sdf` 檔案時使用，特別是從 CAD、URDF、SRDF 或 SDF 生成技能交辦時。
此技能提供一個專用於 CAD 和機器人描述檔案的 3D 檢視器 (CAD Explorer)。它能自動啟動或重複使用現有檢視器工作階段，讓使用者可以直接渲染和視覺審查多種工業格式，包括 STEP、STL、GLB、URDF、SRDF 和 SDF 等。主要功能包括產生可供分享的審查連結，以及建立特定視角的已儲存快照，方便團隊協作或文件記錄。此技能尤其適合與其他生成 CAD、URDF 或 SDF 檔案的 AI 技能整合，作為視覺確認和驗證的關鍵環節。它支援所有主流 AI 代理平台，並透過簡單的指令來管理檢視器的生命週期。
npx skills add https://github.com/earthtojake/text-to-cad/tree/main/skills/renderInstalled? Explore more 影像 skills: steipete/songsee, affaan-m/frontend-design, mattpocock/improve-codebase-architecture · View all 6 →
啟動或重複使用 CAD Explorer 檢視器，返回審查連結，並為特定的 CAD 和機器人描述檔案建立已儲存的快照。在需要渲染或視覺審查 .step、.stp、.glb、.stl、.3mf、.dxf、.urdf、.srdf 或 .sdf 檔案時使用，特別是從 CAD、URDF、SRDF 或 SDF 生成技能交辦時。
This repo contains 6 individual skills — each has its own dedicated page.
Create, modify, inspect, and validate STEP-first parametric CAD parts and assemblies. Use for natural-language CAD specs, reference images, 2D technical drawings, STEP/STP generation or direct inspection, Python CAD source, source-level joints, selector references, geometry facts, measurements, mating deltas, snapshots, and secondary STL/3MF/native GLB outputs from CAD geometry.
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.