sdf 是做什么的？
用于 SDFormat/SDF 模型和世界的生成、验证及模拟器对接。适用于 .sdf 文件、SDFormat XML、Python gen_sdf() 源代码、模型、世界、链接、关节、姿态、框架、惯性参数、视觉/碰撞几何体、网格 URI、传感器、灯光、物理参数、插件、包含文件、Gazebo、静态 SDF 审查或模拟器特定的元数据。请勿用于符号距离场几何。
用于 SDFormat/SDF 模型和世界的生成、验证及模拟器对接。注意：本工具处理 `.sdf` 文件、SDFormat XML、Python `gen_sdf()` 源代码等，但不适用于符号距离场几何。
earthtojake/sdf 是一个专门用于 SDFormat（Simulation Description Format）模型和世界文件生成、验证及模拟器对接的 AI 技能。它支持处理 `.sdf` 文件、SDFormat XML 格式、Python 中的 `gen_sdf()` 源代码、模型、世界、链接、关节、姿态、框架、惯性参数、视觉/碰撞几何体、网格 URI、传感器、灯光、物理参数、插件、包含文件以及 Gazebo 模拟器相关的元数据。该工具的主要用途是帮助开发者快速生成和验证符合 SDFormat 规范的模拟场景，并确保文件能够正确对接各种机器人模拟器（如 Gazebo）。需要注意的是，它不应用于符号距离场（SDF）几何类型。该技能适用于任何需要通过 AI 辅助生成或检查 SDF 文件的开发环境，例如 Claude Code、Cursor 或 Codex，能够有效减少手动编写 XML 的错误和时间成本。
npx skills add https://github.com/earthtojake/text-to-cad/tree/main/skills/sdfInstalled? Explore more 图像 skills: steipete/songsee, affaan-m/frontend-design, mattpocock/improve-codebase-architecture · View all 6 →
用于 SDFormat/SDF 模型和世界的生成、验证及模拟器对接。适用于 .sdf 文件、SDFormat XML、Python gen_sdf() 源代码、模型、世界、链接、关节、姿态、框架、惯性参数、视觉/碰撞几何体、网格 URI、传感器、灯光、物理参数、插件、包含文件、Gazebo、静态 SDF 审查或模拟器特定的元数据。请勿用于符号距离场几何。
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.
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.
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.