Génération, validation et transfert de modèles et mondes SDFormat/SDF vers simulateurs. Destiné aux fichiers `.sdf`, XML SDFormat, sources Python `gen_sdf()`, modèles, mondes, liens, articulations, poses, repères, inerties, géométries visuelles/de collision, URI de maillages, capteurs, lumières, physique, plugins, inclusions, Gazebo, révision statique SDF, ou métadonnées spécifiques au simulateur. À ne pas utiliser pour la géométrie de champ de distance signé.
Ce skill (earthtojake/sdf) est spécialisé dans la manipulation de fichiers et de données au format SDFormat (Simulation Description Format), utilisé principalement par les simulateurs robotiques comme Gazebo. Il permet la génération automatique de modèles et de mondes SDF, la validation de la syntaxe XML, et le transfert de ces données vers un simulateur cible. Le skill gère tous les éléments clés de SDFormat : liens, articulations, poses, repères, inerties, géométries visuelles et de collision (y compris les références à des maillages externes), capteurs, lumières, paramètres physiques, plugins, et inclusions de modèles. Il est particulièrement utile pour les développeurs roboticiens utilisant SDFormat pour la simulation, car il peut aussi vérifier des fichiers SDF existants ou fournir des métadonnées propres à un simulateur donné. Une mise en garde importante : ce skill ne doit pas être utilisé pour manipuler des géométries de champ de distance signé (signed-distance field), qui est un concept totalement différent bien que partageant l'acronyme SDF.
npx skills add https://github.com/earthtojake/text-to-cad/tree/main/skills/sdfInstalled? Explore more Image skills: steipete/songsee, affaan-m/frontend-design, mattpocock/improve-codebase-architecture · View all 6 →
Génération, validation et transfert de modèles et mondes SDFormat/SDF vers simulateurs. Destiné aux fichiers .sdf, XML SDFormat, sources Python gen_sdf(), modèles, mondes, liens, articulations, poses, repères, inerties, géométries visuelles/de collision, URI de maillages, capteurs, lumières, physique, plugins, inclusions, Gazebo, révision statique SDF, ou métadonnées spécifiques au simulateur. À ne pas utiliser pour la géométrie de champ de distance signé.
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.