Agent skill · NVIDIA
physical-ai-neural-reconstruction
Router for NVIDIA NuRec/NRE: USDZ rendering, NCore conversion, 3DGS, gRPC sensor sim, carline adaptation, PhysicalAI HF datasets. Do NOT use for SimReady or infra setup.
What it needs
About 11k tokens when loaded.
What this skill does
Physical AI Neural Reconstruction (NuRec) Router Purpose This is a thin router for NVIDIA Neural Reconstruction (NuRec) requests. It points at the upstream nurec-index skill at https://github.com/NVIDIA/nurec-skills and its five sibling skills (physical-ai-datasets, ncore, nre, asset-harvester, nurec-fixer). Use this skill to: Identify which upstream sibling skill answers a NuRec question. Locate, clone, or refresh the canonical nurec-skills checkout. Order multi-step NuRec workflows (data → conversion → train → render → cleanup) before opening the upstream recipe. The canonical recipes (training, rendering, data conversion, dataset downloads, object harvesting, frame cleanup) live in the upstream sibling skills. Never copy or reconstruct their commands here. Do NOT use this skill for: SimReady packaging of CAD or source meshes → use omniverse-cad-to-simready. Generic USD performance tuning unrelated to NuRec → use omniverse-usd-performance-tuning. AKS / OSMO / NIM Operator infrastructure setup → use physical-ai-infrastructure-setup-and-resilient-scaling. When to Use Read this skill first whenever a user mentions any of: nurec, nurec router, nurec index, neural reconstruction, neural reconstruction engine, NRE, 3DGUT, 3DGRT, USDZ, NCore V4, sensorsim, sensor sim, novel view synthesis, PhysicalAI-Autonomous-Vehicles-NuRec, PhysicalAI-Robotics-NuRec, PhysicalAI-NuRec-PPISP, Cosmos-Drive-Dreams, asset harvester, nurec fixer, DiffusionHarmonizer, harmonizer, difix, difix3d, carline adaptation, serve-grpc, render-grpc, warm serve-grpc, nre thin client, batchrenderrgb, nurec teardown, "where do I start with NuRec", "which NuRec skill should I use for X?". Decide which upstream sibling skill answers the question, fetch it (see Locate and fetch the upstream skills), then follow that skill's body. Prerequisites The router itself has no runtime prerequisites beyond git for fetching the upstream. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills NVIDIA/physical-ai-neural-reconstruction