OpenClaw · Skills: nvidia

Skills from verified OpenClaw publishers, and official plugins. Each entry links to its ClawHub page, which shows the current security scan.

NVIDIA's official guidance for GPU DataFrames with cuDF, including pandas acceleration and multi-GPU ETL.

NVIDIA skill for calibrating cameras from live RTSP streams with AutoMagicCalib.

NVIDIA skill for running a complete calibration on the bundled sample dataset with AMC.

NVIDIA skill for calibrating pre-recorded MP4 camera datasets with AutoMagicCalib.

NVIDIA skill for launching the AutoMagicCalib service and its browser interface with Docker Compose.

NVIDIA skill for running the Omniverse pipeline from source asset to SimReady asset.

Guide to setting up CUDA-Q and writing quantum kernels for simulators and QPUs.

Ports circuits from other frameworks like Qiskit to CUDA-Q kernels, preserving results.

NVIDIA skill for modifying, building, testing, and contributing to cuOpt.

NVIDIA skill for installing and verifying cuOpt through pip, conda, or Docker.

NVIDIA skill for tracing Pareto frontiers across competing objectives with repeated cuOpt solves.

NVIDIA skill for solving LP, MILP, and QP with cuOpt in Python, C, or CLI.

NVIDIA skill for formulating LP, MILP, and QP problems from text, without API details.

NVIDIA skill for solving vehicle routing problems with the cuOpt Python API.

NVIDIA skill for running the cuOpt REST server and calling it from Python or curl.

NVIDIA skill for writing and migrating code with the imperative DALI API.

NVIDIA skill for creating datasets, generating synthetic data, and building generation pipelines.

NVIDIA skill for deploying object detection models into DeepStream.

NVIDIA skill for DeepStream SDK development with the Python pyservicemaker API.

NVIDIA skill for interactively building DeepStream GStreamer pipelines for inference and streaming.