NVIDIA skills collection

Browse 392 official skills from NVIDIA. Open a skill to read its instructions and access the source.

NVIDIA skills

392 skills in this collection

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Nvidia Skill Finder

Use for NVIDIA-related requests where an NVIDIA skill might help, even if the user did not ask for a skill. Trigger on NVIDIA products, hardware, software, SDKs, GPUs, Jetson/JetPack/L4T/BSP/SDK Manager/driver/flashing/setup, CUDA, NIM…

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Nvmolkit Usage

Guidance for writing or debugging nvMolKit Python code for GPU-accelerated RDKit fingerprints, similarity, conformers, clustering, and molecular searches.

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Omniverse Cad To Simready

Coordinate the end-to-end CAD/source-asset to SimReady workflow. Use for broad requests such as CAD to SimReady, source asset to simulation-ready USD, or prop packaging that require conversion, material/physics assignment, SimReady…

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Omniverse Realtime Viewer

Use as the top-level router for Omniverse Realtime Viewer USD app requests and focused viewer reference documents.

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Omniverse USD Performance Tuning

Top-level workflow skill for USD performance diagnosis and optimization. Handles slow loading, high memory, low FPS, and broad scene-optimization requests; delegates auth/runtime setup to Phase 0 owners.

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Openfold2 Nim

Predict monomer protein structures with NVIDIA OpenFold2, using protein sequences and multiple-sequence alignments.

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Openfold3 Nim

Predict biomolecular structures with NVIDIA OpenFold3, including protein-ligand, protein-DNA/RNA, and multi-chain complexes.

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Paidf Augmentation

Guidance for tasks where authoring or validating PAIDF augmentation YAML configs, or running remote Cosmos Transfer (including Cosmos3 WSM controls), Cosmos Predict, image-edit, or image-to-video inference.

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Paidf Auto Labeling

Guidance for tasks where a user needs to get started with PAIDF Auto-Labeling, plan a scenario, run or debug a shipped cookbook, author prompts or cookbooks, migrate a pipeline, or configure a stage. Confirm critical inputs (data path…

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Paidf Cosmos Predict

Prepare and run PAIDF Cosmos Predict video generation for DEFT media samples.

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Paidf Curation And Retrieval

Guidance for tasks where operating PAIDF Curation and Retrieval or NVIDIA Cosmos Curator pipelines (split, filter, caption, embed, dedup, shard, image annotate) or PAIDF Data Mining nearest-neighbor matching on Curator embeddings.…

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Paidf Orchestration Setup

Audit, prepare, and deploy PAIDF Orchestration on a Kubernetes GPU cluster - single-GPU H100/L40S hosts, managed Kubernetes, kubeadm, and similar. Select for requests to set up, install, deploy, configure, or check a PAIDF Orchestration…

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Paidf Orchestration Write Dag

Guidance for tasks where a user describes a custom PAIDF Orchestration pipeline — a specific ordered combination of stages such as augmentation only, auto-labeling only, detection+captioning only, or image attribute augmentation without…

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Physical AI Defect Image Generation

Guidance to orchestrate defect image generation with NVIDIA Cosmos AnomalyGen (Cosmos-Predict2-derived) on OSMO for PCBA, metal surface, and glass inspection. The Day 0 path handles cold-start with USD-to-ROI, image-edit augmentation, and…

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Physical AI Event Video Generation

Run the PAIDF Orchestration Event Video Generation DAG on Kubernetes - image-to-video anomaly generation, auto-labeling, and anomaly dataset generation. Select for requests about event video generation, anomaly video generation…

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Physical AI Image Attribute Augmentation

Run the PAIDF Orchestration Image Attribute Augmentation DAG on Kubernetes - person-crop clothing augmentation, attribute search, and augmented dataset generation. Select for requests about image attribute augmentation, person attribute…

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Physical AI Infrastructure Setup And Resilient Scaling

Guidance to set up, scale, validate, or harden NVIDIA physical AI infrastructure for synthetic data generation workflows across local MicroK8s or Azure AKS, including Kubernetes clusters, inference endpoint deployment, OSMO deployment…

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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.

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Physical AI Video Data Augmentation

Guidance for tasks where running video data augmentation and auto-labeling workflows on OSMO: flow selection, preflight, submit-time interpolation, monitoring, and output retrieval. Trigger keywords: video data augmentation, data…

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Physicsnemo Discover

Official NVIDIA-authored guidance for navigating PhysicsNeMo — pick the model, datapipe, or example for a SciML/AI4Science task (surrogates, forecasting, downscaling, physics-informed, inverse, generative). Points at existing files via…

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