Skill Claude CodeCodex
Convert EmbodiedGen URDF assets to simulator-specific formats (USD/MJCF/URDF) using embodiedgen.data.assetconverter APIs. Use this skill whenever users ask to export assets for IsaacSim, MuJoCo, Genesis, IsaacGym, PyBullet, or SAPIEN, batch-convert URDF assets, or choose the correct converter/sourcetype per simulator.
Skill Claude CodeCodex
Create 3D assets with EmbodiedGen using img3d-cli, text3d-cli, and texture-cli. Use this skill whenever users ask to generate assets from images/text, texture existing meshes, run retry/seed controlled generation, or choose the proper asset-generation CLI from mixed requirements.
Skill Claude CodeCodex
Scale and rotate complete URDF-based 3D assets, including OBJ, GLB, collision meshes, Gaussian splats, and height metadata. Use this skill whenever a user asks to resize, rotate, reorient, or otherwise transform an EmbodiedGen asset while keeping its related files synchronized.
Skill Claude CodeCodex
Retrieve existing EmbodiedGen assets from a configurable dataset index CSV by natural-language descriptions and return matching .urdf paths. Use when users describe an asset they want, ask to find one or several existing URDF assets, or need a fast lookup over the local asset index instead of scanning folders manually.
Skill Claude CodeCodex
Generate background 3D scenes with EmbodiedGen using scene3d-cli. Use this skill whenever users ask to create room/indoor background scenes from text prompts, pre-generate backgrounds for layout-cli, or control scene3d generation quality/runtime with retry, seed, and gs3d settings.
Plugin Claude Code
Bundles 8 commands · 130 tokens together
EmbodiedGen workflow plugin bundle with slash commands and reusable skills for asset generation, background generation, layout generation, simulation rendering, asset conversion, room creation, asset processing, and spatial scene editing.
Skill Claude CodeCodex
Generate interactive 3D layouts from task descriptions with EmbodiedGen using layout-cli. Use this skill whenever users ask to build task-driven 3D scenes, batch-generate layouts from task files, tune layout generation retries/seeds, or produce simulator-ready layout outputs from background scene lists.
Skill Claude CodeCodex
Generate indoor rooms (single room or house) and export URDF/USD by wrapping embodiedgen/scripts/roomgen/genroom.py. Use when users ask to create rooms with seed control, choose room type and complexity, run generation/export stages, or run reproducible room generation jobs (batch runs can be done by wrapping this…
Skill Claude CodeCodex
Run SAPIEN-based simulation rendering from EmbodiedGen layout outputs using sim-cli. Use this skill whenever users ask to load a generated layout.json into simulation, render interactive scene videos, control camera/render settings, or enable robot grasp trajectory rendering.
Skill Claude CodeCodex
Visualizes floorplans from URDF scene files and inserts/removes 3D assets with collision-aware placement on surfaces. Supports semantic instance matching via LLM (e.g., "put lamp on bookshelf", "delete sofa in living room"). Use when working with URDF/USD indoor scenes, floorplan visualization, object…
Skill Claude CodeCodex
Deploy and troubleshoot the EmbodiedGen affordance pipeline. Use when bash install.sh affordance, pointnet2ops, torch-scatter, or flash-attn fails on RTX 4090/5090, or when affordance-cli cannot import.
Skill Claude CodeCodex
Diagnose EmbodiedGen installation failures on shared machines and RTX 4090/5090 systems. Use for broken conda environments, user-site package leakage, missing build tools, CUDA/PyTorch architecture mismatches, or xformers failures.
Skill Claude CodeCodex
Deploy and troubleshoot the EmbodiedGen scene3d pipeline. Use when bash install.sh scene3d, tiny-cuda-nn, fused-ssim, txt2panoimg, or scene3d-cli fails on RTX 4090/5090.
Skill Claude CodeCodex
An index of instructions for HBDK4, a toolchain that converts machine-learning models into files runnable on Horizon hardware. It covers importing, serializing, quantizing, modifying, compiling, inspecting, and validating models.
Skill Claude CodeCodex
A configuration-driven process for compiling ONNX or BC machine-learning models for J6 HBDK hardware. It creates a YAML configuration, waits for approval by default, then compiles and checks the output.
Skill Claude CodeCodex
A routing workflow for the HMCT model-conversion toolchain. It handles model quantization, quick conversion checks, accuracy tuning, and targeted debugging.
Skill Claude CodeCodex
A workflow for improving the numerical accuracy of quantized HMCT models. Quantization uses lower-precision numbers to make models smaller or faster, and cosine similarity compares their outputs with the original model.
Skill Claude CodeCodex
A routing skill for OpenExplorer and Horizon tools used to quantize, compile, deploy, and evaluate machine-learning models on Horizon hardware. It selects the relevant sub-skill and defines rules for complete deployment workflows.
Skill Claude CodeCodex
A setup skill that detects the hardware board used for board-side software work and records its connection and platform details in the project.
Skill Claude CodeCodex needs its repo
A setup checker for the OE-LLM package environment used by tools for large language model compression, compilation, quantization, and device inference.
Skill Claude CodeCodex needs its repo
A local installer for OE-LLM, a package of language-model components used with the OpenExplorer toolchain. It creates a Python virtual environment and installs compatible package files when the user approves.
Skill Claude CodeCodex
An environment checker for the OpenExplorer toolchain, a collection of tools for quantizing, compiling, deploying, and evaluating machine-learning models. It finds the package, records its version, checks the local setup, and writes the results to an environment file.
Skill Claude CodeCodex
A skill for installing OE package components locally in a Python virtual environment, an isolated Python setup, after OE package detection. It checks Python, CUDA, and PyTorch versions, selects matching wheel files, installs them, and sets local execution mode when the user agrees.
Skill Claude CodeCodex
A performance-analysis workflow for checking ONNX, HBIR, and HBM machine-learning models on Horizon Robotics J5 and J6 hardware. It examines measurements such as delay, memory bandwidth, and BPU use.
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: