gpu plugins

by NVIDIA

Skills for NVIDIAs ecosystem spans GPU acceleration, CUDA, AI agents, inference, robotics, Physical AI, Omniverse, and simulation. This plugin helps you understand the pieces, choose a path, validate your setup, and build practical NVIDIA-powered workflows.

by NVIDIA

Generate deployable Vision AI pipelines with high-performance video and streaming capabilities on NVIDIA GPUs. Create GPU-accelerated inference microservices using DeepStream, Triton, vLLM, TensorRT-LLM, or PyTorch backends.

by Seyed Yahya Shirazi

Machine-learning training and benchmarking on rented cloud GPUs: prebaked RunPod images that boot in seconds instead of minutes, pod lifecycle scripts, GPU selection and pricing ladders, and the provisioning pitfall catalog

by lcf

Claude Code skill for managing ML experiment task queues with Labtasker

by Dan Raffel

Claude Code plugin for the Pulp audio framework — build, test, design, and ship audio plugins and apps

by Brendan Duncan

Debug and profile Vulkan, Metal and Direct3D 12 frames with Claude: GPU Inspector captures (.gpucap) read with GPU Inspector's own analyses — frame issues, GPU bottlenecks, the render graph, the state at a draw, buffers, render targets and shaders — and running applications launched, captured and shader-edited live.

by NVIDIA

Skills for NVIDIAs ecosystem spans GPU acceleration, CUDA, AI agents, inference, robotics, Physical AI, Omniverse, and simulation. This plugin helps you understand the pieces, choose a path, validate your setup, and build practical NVIDIA-powered workflows.

by Fars Saadeldin

Predict where a render, simulation or training job will bottleneck, and what to change first.