Apps & Automation skills

Browse reusable Agent Skills, each with a clear purpose and practical guidance.

isaac-sim-ros2-bridge

Setting up and using the ROS 2 Bridge in Isaac Sim 6.0 (Kit 110) for publishing and subscribing to ROS 2 topics from simulation. Covers bridge architecture, OmniGraph node setup for sensors/commands, Nav2 integration, and multi-robot namespacing. Use when: connecting Isaac Sim to ROS 2, publishing sensor data (camera, LiDAR, odometry) from simulation to ROS 2, subscribing to robot commands from Nav2 or other ROS 2 nodes, or setting up multi-robot namespaced ROS 2 communication in simulation. Triggers on: ROS 2 bridge, OmniGraph ROS2, Nav2 Isaac Sim, isaacsim.ros2.bridge, ROS2PublishLaserScan, cmd_vel subscribe, multi-robot namespace ROS2.

3.71k repo starsObserved in 2 repos

Apps & Automation

GitHub

urdf-mjcf-to-usd-conversion

Convert URDF and MJCF robot descriptions to USD for Isaac Sim 6 and Isaac Lab via the modern `isaacsim.asset.importer.urdf` / `isaacsim.asset.importer.mjcf` APIs (`URDFImporter` + `URDFImporterConfig`, `MJCFImporter` + `MJCFImporterConfig`). Covers the `isaacsim.asset.transformer` post-import pipeline, the `usd.schema.isaac.robot_schema` application (IsaacRobotAPI, robot-type tokens), URDF round-tripping via `isaacsim.asset.exporter.urdf`, RL vs teleop drive setup, `make_instanceable`, and the Isaac Lab `convert_urdf.py` / `convert_mjcf.py` `config.yaml` flow. XACRO is not parsed by the URDF importer core; either import directly from a running `robot_description` node via `isaacsim.ros2.urdf` (`RobotDefinitionReader` / `File -> Import from ROS2 URDF Node`), or pre-expand offline with `xacro robot.xacro > robot.urdf`. Use when bringing a new robot from URDF/MJCF into Isaac Sim or Isaac Lab, troubleshooting wrong masses / joint behavior / self-collision, or exporting USD back to URDF.

3.71k repo starsObserved in 2 repos

Apps & Automation

GitHub

isaac-sim-orchestrator

Top-level dispatcher: turns a natural-language Isaac Sim request into a runnable simulation. Owns the env-var contract (`$ISAAC_SIM_DIR`, `$ISAAC_LAB_DIR`, `$WORKSPACE_DIR`, `$CIP_ROOT`), decomposes the task into capabilities, routes to specialist skills (`usd-pipeline`, `isaac-sim-rendering`, `isaac-sim-validator`, `physics-simulation`, `usd-composition-architecture`), and validates output before delivery. Use when (1) creating a sim scene with robots, objects, environments, (2) controlling robots in Isaac Sim, (3) generating renders or camera captures, (4) collecting Physical AI training data, (5) running headless sims on GPU, (6) orchestrating multi-robot fleets in warehouses.

3.71k repo starsObserved in 1 repos

Apps & Automation

GitHub

isaac-sim-remote

Connect to a running Isaac Sim via the `isaacsim.code_editor.python_server` TCP socket (port 8226) to execute Python remotely. Launch Isaac Sim, send code, create/modify USD stages, run simulations, take viewport or full-app screenshots, inspect/modify prims, control the camera, step physics, read console logs, execute Kit commands. Works in `--no-window` headless mode.

3.71k repo starsObserved in 1 repos

Apps & Automation

GitHub

isaac-sim-rendering

Headless rendering with Isaac Sim 6.0+ / Kit 110 — frame capture, lighting setup, ACES tone mapping calibration, look-at camera math, and validation thresholds for batch simulation and synthetic data generation. Covers SimulationApp + Replicator RGB annotator, RT2 (RayTracedLighting) vs PathTracing tradeoffs, multi-layer warehouse lighting recipes, deep-aisle vs overview exposure tension, and frame quality validation. Use when capturing screenshots or video from Isaac Sim, generating synthetic data, building rendering pipelines, or tuning lighting and tonemapping for photoreal warehouse / robot / factory scenes. Triggers on: Isaac Sim rendering, headless render, RT2, RayTracedLighting, PathTracing, ACES tonemap, filmIso, SimulationApp render, replicator annotator, warehouse lighting, look-at camera, frame validation.

3.71k repo starsObserved in 1 repos

Apps & Automation

GitHub

apollo

Enrich contacts and companies via Apollo.io for prospecting and sales intelligence. Use this skill when the user asks about contact details, company research, or finding decision-makers.