Updated 1mo ago
by NVIDIA
nurec-skills
NVIDIA Omniverse NuRec agent skills automate neural reconstruction for autonomous vehicle and robotics simulation, running the reconstruction and rendering workflow end to end.
48 GitHub stars (48)
+3 in 16 days
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- 6 skills (6 skills found in its SKILL.md files)
- 9 forks (9 forks)
- 1mo ago last update (Last updated 1mo ago)
Install
Skills CLI
npx skills add NVIDIA/nurec-skills
Asks which skills and agents to install. Just one: npx skills add NVIDIA/nurec-skills --skill asset-harvester — add -g for every project.
Claude Code
git clone https://github.com/NVIDIA/nurec-skillscp -r "nurec-skills/skills/asset-harvester" ~/.claude/skills/
Copies the asset-harvester skill into ~/.claude/skills/ for every project (use .claude/skills/ for one project). Repeat for the other skills listed below.
Plugin
/plugin marketplace add NVIDIA/nurec-skills
Run inside Claude Code if the repository ships a plugin marketplace, then pick plugins from /plugin.
Skills can run code on your machine — read the SKILL.md first.
What it does
In the author's own words, from each skill's SKILL.md.
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asset-harvester
Use to install and run NVIDIA Asset Harvester (Apache-2.0) to extract per-object 3D Gaussian Splat assets (`gaussians.ply`) from AV NCore V4 clips or masked single images via SparseViewDiT + TokenGS, optionally producing `metadata.yaml` for NuRec object insertion. Do NOT use for full-scene reconstruction (use `nre`) or for inputs without per-object masks.
skills/asset-harvester/SKILL.md on GitHub (opens in a new tab) -
ncore
Use when converting any sensor dataset into NVIDIA NCore V4 format (and feeding it to NuRec or a robotics-to-sim "r2s" pipeline). Covers ingesting raw cameras, LiDARs, radars, IMUs, depth or stereo into V4 sequences; authoring a new converter from the template; adapting PAI / Waymo / PandaSet / NuScenes to V4; handling non-AV rigs (mono+depth, mono+lidar, stereo, multi-stereo, RGB-D, COLMAP / SfM…
skills/ncore/SKILL.md on GitHub (opens in a new tab) -
nre
Use to drive NVIDIA Omniverse NuRec / Neural Reconstruction Engine (NRE) via the public NGC containers nvcr.io/nvidia/nre/nre and nvcr.io/nvidia/nre/nre-tools (NGC_API_KEY required) — train 3DGUT Gaussian reconstructions from NCore clips, generate aux data, adapt an existing USDZ to an augmented target-vehicle rig (carline adaptation), render frames or LiDAR sweeps (local or warm `serve-grpc`), e…
skills/nre/SKILL.md on GitHub (opens in a new tab) -
nurec-fixer
Use to run NVIDIA DiffusionHarmonizer (public successor to the older Fixer recipes) to enhance, harmonize, evaluate, or fine-tune novel-view frames from NRE / NuRec / 3DGS / NeRF reconstructions. Do NOT use for training the 3D reconstruction itself (use `nre`) or for sensor-to-NCore conversion (use `ncore`).
skills/nurec-fixer/SKILL.md on GitHub (opens in a new tab) -
nurec-index
Router for NVIDIA NuRec / NRE / 3DGUT / USDZ / NCore V4 / asset harvest / frame cleanup tasks — picks the right sibling (nre, ncore, asset-harvester, nurec-fixer, physical-ai-datasets). Use when the sub-skill is unclear or a multi-stage pipeline is needed; do NOT use for non-NuRec tasks or to run any pipeline itself.
skills/nurec-index/SKILL.md on GitHub (opens in a new tab) -
physical-ai-datasets
Use when the user wants to find, download, or pick a NVIDIA Physical AI dataset on Hugging Face for autonomous-vehicle, robotics, spatial intelligence, manipulation, or neural-reconstruction workflows. Catalog of every dataset under huggingface.co/nvidia with the `PhysicalAI-` prefix, organised by domain (AV, Robotics-Manipulation, Robotics-GR00T, Robotics-mindmap, Robotics-NuRec, Spatial Intelli…
skills/physical-ai-datasets/SKILL.md on GitHub (opens in a new tab)
No skill matches that filter.
Review before you install
A skill is a set of instructions and scripts your agent will follow, and it can run code on your machine. Read the SKILL.md and any scripts first — this listing is not a security review.