NVIDIA/skills agent skills, page 4

Autonomous NeMo-RL research agent workflow for directed hypothesis testing and open-ended discovery.

NVIDIA/skills

Routes NVIDIA Nemotron Speech (Formerly Riva) NIM tasks — deploys, runs, and tests ASR, TTS, and NMT NIMs on build.nvidia.com or self-hosted.

NVIDIA/skills

Used for generating synthetic CT volumes and masks with NV-Generate-CTMR rflow-ct.

NVIDIA/skills

Used for generating synthetic body MRI volumes with NV-Generate-CTMR rflow-mr.

NVIDIA/skills

Used for generating synthetic T1, T2, FLAIR, SWI, or MRA brain MRI volumes with NV-Generate-CTMR MR-Brain v1.

NVIDIA/skills

Runs standard or fixed-channel softmax finetuning of NV-Segment-CT VISTA3D on CT NIfTI image/label datasets, with optional MONAI-native MLflow tracking and checkpoint evidence.

NVIDIA/skills

Generate a reproducible final report, literature-outcome synthesis, JSON summary, and refreshed progress plot for a stopped or interrupted NVFLARE Auto-FL campaign.

NVIDIA/skills

A skill your agent uses for NVIDIA-related requests where an NVIDIA skill might help, even if the user did not ask for a skill.

NVIDIA/skills

A skill your agent uses when 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…

NVIDIA/skills

A skill your agent uses when operating PAIDF Curation and Retrieval or NVIDIA Cosmos Curator pipelines (split, filter, caption, embed, dedup, shard, image annotate) or PAIDF Data Mining…

NVIDIA/skills

Router for NVIDIA NuRec/NRE: USDZ rendering, NCore conversion, 3DGS, gRPC sensor sim, carline adaptation, PhysicalAI HF datasets.

NVIDIA/skills

Official NVIDIA-authored guidance for navigating PhysicsNeMo — pick the model, datapipe, or example for a SciML/AI4Science task (surrogates, forecasting, downscaling, physics-informed, inverse…

NVIDIA/skills

Official NVIDIA-authored guidance for PhysicsNeMo ShardTensor domain parallelism — integrate domain parallelism into training/inference scripts (new or existing) with DDP or FSDP2, write and…

NVIDIA/skills

A skill your agent uses when a user asks to build, optimize, backtest, rebalance, or analyze a stock portfolio with Mean-CVaR, Mean-Variance/SOCP variance caps, efficient frontiers, scenario…

NVIDIA/skills

Performs deep Root Cause Analysis (RCA) on NVIDIA TAO Visual ChangeNet classification experiments with image-evidence-driven investigation.

NVIDIA/skills

Performs gap analysis on NVIDIA TAO VCN Classify (Visual Component Net) experiments by invoking the pinned TAO data-services container directly via docker run … gapanalysis vcnaoi … — picks the…

NVIDIA/skills

The contract home for TAO's SDK-free execution pipeline — authoritative JSON Schemas for the four typed artifacts (spec-bundle, job-record, resultsdir layout, bestrec) plus the fixed job-status…

NVIDIA/skills

CLIP vision-language model for image-text retrieval, zero-shot classification, embedding extraction, ONNX export, and TensorRT deployment.

NVIDIA/skills

Cosmos-Embed1 video-text embedding for text-to-video retrieval, video-to-video search, semantic deduplication, and fine-tuning.

NVIDIA/skills

Fine-tune any HuggingFace CV / VLM / LLM model on local NVIDIA GPUs inside an NGC PyTorch container when no dedicated TAO model skill matches.

NVIDIA/skills

NV-Tesseract AD Diffusion — diffusion-based anomaly detection and fine-tuning for multivariate time series.

NVIDIA/skills

NV-Tesseract Forecasting — transformer-based multivariate time series forecasting with DARR (context-enhanced kNN retrieval), interpretability, and fine-tuning.

NVIDIA/skills

InternVideo2-CLIP L14 (TAO videoclip) for video-text retrieval, zero-shot classification, embedding extraction, LoRA fine-tuning, ONNX export, and TensorRT deployment.

NVIDIA/skills

Two-step image grounding pipeline: extracts referring expressions from (image, caption) pairs and grounds them to pixel-space bounding boxes via a VLM.

NVIDIA/skills

Four-step image referring-expression pipeline: turns images plus KITTI bounding-box labels into region descriptions, scene captions, grounded referring expressions, and (optionally) verified…

NVIDIA/skills

Multi-step video annotation pipeline that turns raw videos into Chain-of-Thought training data — multi-level captions, structured descriptions, and QA pairs (MCQ, binary, open-ended) with reasoning…

NVIDIA/skills

The mandatory pre-launch gate and four-verb execution contract for every TAO workflow or action.

NVIDIA/skills

Runs the DEFT embed-then-mine workflow for VCN AOI iterations — embeds the gap-analysis target parquet, embeds a source pool, and mines nearest-neighbour source images for downstream augmentation.

NVIDIA/skills

Run the canonical NVIDIA AOI three-phase training pipeline — Phase 1 AutoML baseline (HPO), Phase 2 DEFT loop (RCA → SDG → mining → plain-train retrain), Phase 3 AutoML refinement on the…

NVIDIA/skills

Run the full DEFT AOI improvement loop for NVIDIA TAO VisualChangeNet / ChangeNet PCB inspection models: baseline evaluate, RCA, Cosmos AnomalyGen / AMP synthetic defects, k-NN mining, retraining…

NVIDIA/skills

Start, query, and stop a network-specific TAO inference microservice ({networkarch}-inference-microservice) by delegating container execution to the appropriate platform skill.

NVIDIA/skills

Remote SLURM GPU cluster execution over SSH with sbatch/srun, Pyxis/Enroot containers, and Lustre-backed results.

NVIDIA/skills

Run a Python training/eval script directly in an existing local virtualenv — no docker, no container.

NVIDIA/skills

Action recognition from video sequences. An agent skill from NVIDIA/skills.

NVIDIA/skills

BEVFusion for multi-sensor 3D object detection. An agent skill from NVIDIA/skills.

NVIDIA/skills

CenterPose for keypoint / pose estimation. An agent skill from NVIDIA/skills.

NVIDIA/skills

Co-DETR (CoDINO) for object detection. An agent skill from NVIDIA/skills.

NVIDIA/skills

Deformable DETR for 2D object detection. An agent skill from NVIDIA/skills.

NVIDIA/skills

Monocular depth estimation using Metric Depth Anything v2 or Relative Depth Anything architectures.

NVIDIA/skills

DINO (DETR with Improved DeNoising Anchor Boxes) for 2D object detection.

NVIDIA/skills

DINOv3 continual self-supervised pre-training. An agent skill from NVIDIA/skills.

NVIDIA/skills

Real-time stereo depth estimation using FastFoundationStereo (FFS), the distilled bp2 commercial variant of FoundationStereo.

NVIDIA/skills

Stereo depth estimation using FoundationStereo. An agent skill from NVIDIA/skills.

NVIDIA/skills

Grounding DINO for open-set object detection. An agent skill from NVIDIA/skills.

NVIDIA/skills

PyTorch-based TAO image classification. An agent skill from NVIDIA/skills.

NVIDIA/skills

Masked Auto-Encoder (MAE) for self-supervised pretraining and fine-tuning.

NVIDIA/skills

MAL (Mask Auto-Label) for weakly-supervised segmentation. An agent skill from NVIDIA/skills.

NVIDIA/skills

Mask Grounding DINO for grounded instance segmentation. An agent skill from NVIDIA/skills.

NVIDIA/skills