Generación, validación y transferencia de modelos y mundos SDFormat/SDF para simuladores. Para archivos `.sdf`, XML SDFormat, fuentes Python `gen_sdf()`, modelos, mundos, enlaces, articulaciones, poses, marcos, inercias, geometría visual/colisión, URI de mallas, sensores, luces, física, plugins, inclusiones, Gazebo, revisión estática SDF o metadatos específicos del simulador. No usar para geometría de campo de distancia con signo.
Esta habilidad se especializa en la generación, validación y transferencia de modelos y mundos en formato SDFormat (SDF), un estándar utilizado en simulación robótica para describir la estructura y propiedades de objetos, entornos y escenarios. Es útil para desarrolladores e ingenieros que trabajan con simuladores como Gazebo, ya que permite crear, revisar y entregar archivos `.sdf` con precisión, incluyendo elementos como enlaces (links), articulaciones (joints), geometría visual y de colisión, sensores, luces, propiedades físicas, plugins y marcos de coordenadas. La habilidad admite tanto el uso directo de XML SDFormat como la generación programática mediante código Python (por ejemplo, usando `gen_sdf()`), lo que facilita la automatización de escenarios complejos. Está diseñada para plataformas como Claude Code, Cursor y Codex, y su objetivo es evitar que se confunda con tareas relacionadas con geometría de campo de distancia con signo (signed-distance fields).
npx skills add https://github.com/earthtojake/text-to-cad/tree/main/skills/sdfInstalled? Explore more Imagen skills: steipete/songsee, affaan-m/frontend-design, mattpocock/improve-codebase-architecture · View all 6 →
Generación, validación y transferencia de modelos y mundos SDFormat/SDF para simuladores. Para archivos .sdf, XML SDFormat, fuentes Python gen_sdf(), modelos, mundos, enlaces, articulaciones, poses, marcos, inercias, geometría visual/colisión, URI de mallas, sensores, luces, física, plugins, inclusiones, Gazebo, revisión estática SDF o metadatos específicos del simulador. No usar para geometría de campo de distancia con signo.
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.