NVIDIA skills collection

Accelerated Computing Cudf

Official NVIDIA-authored guidance for NVIDIA cuDF GPU DataFrames, pandas acceleration, dask-cuDF, ETL, joins, groupby, CSV/Parquet I/O, nullable semantics, and multi-GPU DataFrame workloads.

Amc Run RTSP Calibration

Calibrate a new dataset from live RTSP camera streams via the AutoMagicCalib REST API.

Amc Run Sample Calibration

Run end-to-end calibration on the shipped sample dataset (sdg082sampledata010926.zip) against a running AMC microservice.

Amc Run Video Calibration

Calibrates pre-recorded cam.mp4 datasets through the AutoMagicCalib REST API. Use for user-supplied local MP4s; route live RTSP streams to amc-run-rtsp-calibration.

Amc Setup Calibration Stack

Launch AutoMagicCalib microservice and web UI from NGC release images via Docker Compose.

Cudaq Guide

Use for CUDA-Q setup, simulation targets, QPU access, and @cudaq.kernel authoring guidance.

Cudaq Importing

Guidance for tasks where porting circuits from another framework (e.g. Qiskit) into CUDA-Q kernels while preserving the source algorithm and validation fidelity.

Cuopt Developer

Modify, build, test, debug, and contribute to NVIDIA cuOpt (C++/CUDA, Python, server, CI). Use for solver internals, PRs, DCO, and code conventions.

Cuopt Install

Install cuOpt for Python, C, or server via pip, conda, or Docker; verify the install. For building cuOpt from source, see cuopt-developer.

Cuopt Multi Objective Exploration

Trace, complete, and interpret the Pareto frontier across competing objectives using repeated single-objective cuOpt solves (weighted-sum and ε-constraint).

Cuopt Numerical Optimization API

LP, MILP, and QP (beta) with cuOpt — Python, C, and CLI.

Cuopt Numerical Optimization Formulation

LP, MILP, QP — concepts, problem-text parsing, and formulation patterns (parameters, constraints, decisions, objective). Concepts only; no API.

Cuopt Routing API Python

Vehicle routing (VRP, TSP, PDP) with cuOpt — Python API only.

Cuopt Server API Python

cuOpt REST server — start server, endpoints, Python/curl client examples.

Dali Dynamic Mode

DALI imperative dynamic mode (nvidia.dali.experimental.dynamic, ndd):

Data Designer

Guidance to create a dataset, generate synthetic data, or build a data generation pipeline.

Deepstream Dev

NVIDIA DeepStream SDK development with Python pyservicemaker API.

Deepstream Generate Pipeline

Build DeepStream GStreamer pipelines interactively.

Deepstream Import Vision Model

Use this skill to bring a supported object-detection vision model from HuggingFace or NVIDIA NGC into an NVIDIA DeepStream pipeline with end-to-end automation: ONNX download, SafeTensors export, TRT engine build, custom nvinfer bbox…

Deepstream Profile Pipeline

Profile a DeepStream pipeline with Nsight Systems and derive its configs from the measurement.