CUDA · For developers

DALI imperative dynamic mode (nvidia.dali.experimental.dynamic, ndd): use when working on ndd code or migrating pipelines; skip pipeline-only tasks.

NVIDIA/skills

A skill your agent uses when adding, modifying, optimizing, or debugging CuTile autotuning code.

NVIDIA/skills

Mandatory pre-flight compute resource check before running experiments.

OpenLAIR/dr-claw

A skill your agent uses for CUDA-Q setup, simulation targets, QPU access, and @cudaq.kernel authoring guidance.

NVIDIA/skills

Modify, build, test, debug, and contribute to NVIDIA cuOpt (C++/CUDA, Python, server, CI).

NVIDIA/skills

NVIDIA DeepStream SDK development with Python pyservicemaker API.

NVIDIA/skills

Install or repair the FoundationPose perception pipeline and build its FoundationStereo TensorRT engines.

NVIDIA/skills

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

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

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

NVIDIA/skills

Maps every HOT-Step CPP feature to its route file, service, UI folder, and engine subsystem, including port topology and the browser-to-engine request path.

scragnog/HOT-Step-CPP

Diagnose failed Quark installation, PTQ execution, script generation, or export attempts.

amd/Quark

Install or verify the correct PyTorch build for a user's accelerator backend before Quark installation.

amd/Quark

Diagnoses and resolves MCP server registration failures, GPU detection, BigQuery authentication, index build failures, import errors, search quality issues, and performance problems.

RobThePCGuy/Claude-Patent-Creator

Diagnose CUDA "illegal instruction" / kernel crashes on Triton kernels that reference to TMA loads or stores (maketensordescriptor, TensorDescriptor, descriptor.load, descriptor.store…

facebookexperimental/triton

Generate C/C++ or CUDA code from an AI model (PyTorch, LiteRT) using MATLAB Coder or GPU Coder.

matlab/matlab-agentic-toolkit

Generate, verify, refine, and accelerate C/C++ or CUDA code from MATLAB with MATLAB Coder, Embedded Coder, GPU Coder, or MATLAB Test.

matlab/matlab-agentic-toolkit

Deploy AI models to embedded hardware using MathWorks tools (MATLAB, Simulink, Embedded Coder).

matlab/matlab-agentic-toolkit

A skill your agent uses when the operator is authoring, building, loading, or debugging a custom doca-bench plug-in — a versioned shared library with DOCAEXPERIMENTAL-marked C entry points that…

NVIDIA/skills

A skill your agent uses for hands-on DOCA GPI programming — wiring a GPU-Packet-Initiator context so a CUDA kernel drives RDMA queues directly from GPU memory without host CPU mediation.

NVIDIA/skills

A skill your agent uses when the user is doing hands-on DOCA GPUNetIO programming — wiring a CUDA kernel on an NVIDIA GPU to a doca-eth queue via docagpuethrxq / docagpuethtxq, standing up the…

NVIDIA/skills

A skill your agent uses when the user is building, running, or interpreting the doca/tools/gpunetioibwritebw client+server benchmark — a CUDA kernel on the client posts RDMA WRITE work requests…

NVIDIA/skills

A skill your agent uses when the user is measuring GPU-kernel-initiated RDMA WRITE latency through doca-gpunetio — building and running the gpunetioibwritelat client + server pair under…

NVIDIA/skills

Install Holoscan SDK v4.3+ via Conda in a CUDA 13 environment.

NVIDIA/skills

Install Holoscan SDK via the NGC Docker container. An agent skill from NVIDIA/skills.

NVIDIA/skills

Install Holoscan SDK natively on Ubuntu via apt. An agent skill from NVIDIA/skills.

NVIDIA/skills

Install Holoscan SDK Python wheel via pip into a venv. An agent skill from NVIDIA/skills.

NVIDIA/skills

Guides Holoscan SDK installation: inspects the host, assesses platform compatibility, recommends an install method, and delegates to the matching install skill.

NVIDIA/skills

Validate and use selective and full activation recompute in Megatron Bridge to reduce GPU memory usage at the cost of extra compute.

NVIDIA/skills

Used for command-shape or live NV-Reason-CXR chest X-ray reasoning smoke tests.

NVIDIA/skills

Used for running NV-Segment-CT VISTA3D on CT NIfTI volumes and recording label-map evidence.

NVIDIA/skills

A skill your agent uses when authoring or validating PAIDF augmentation YAML configs, or running remote Cosmos Transfer (including Cosmos3 WSM controls), Cosmos Predict, image-edit, or…

NVIDIA/skills

How to create a pull request for the intel/torch-xpu-ops repository.

intel/torch-xpu-ops

Install cuOpt for Python, C, or server via pip, conda, or Docker; verify the install.

NVIDIA/skills

Create, refine, or fix NVIDIA voice agents (Cascaded or Omni) with Pipecat or LiveKit.

NVIDIA/skills

NVIDIA RAG Blueprint — deploy, configure, troubleshoot, and manage.

NVIDIA/skills

How to swap the DeepStream CV detection model in the VSS Alerts Blueprint verification (2dcv) mode - covers ONNX export, custom bbox parsers, compose mount gotchas, nvinfer config, runtime TRT…

NVIDIA/skills

Generate and analyze T1/T2/R roofline reports for PyTorch OOB workloads comparing Intel XPU and NVIDIA CUDA.

intel/torch-xpu-ops

Run and diagnose governed ASE plus fairchem UMA molecular dynamics on standardized adsorbed slabs, including NVT/NVE surface trajectories, pre-relaxation, periodic-boundary and collision checks…

Tai609/NebulaMat

How HOT-Step's custom flash-attention training ops (GGMLOPFLASHATTNTRAIN/BACK) work, what the AS1.5 DiT trainer campaign proved and disproved, and the exact contract for porting flash mode to the…

scragnog/HOT-Step-CPP

Use a local QMD knowledge base through UXC over MCP stdio, with daemon-backed session reuse and typed retrieval flows that avoid repeated model warmup and unnecessary query-expansion latency.

holon-run/uxc

Build Holoscan SDK from source via the in-tree ./run script.

NVIDIA/skills

Validate and use CPU offloading in Megatron Bridge, including layer-level activation offloading and fractional optimizer state offloading with HybridDeviceOptimizer.

NVIDIA/skills

Validate and use CUDA graph capture in Megatron Bridge, including local full-iteration graphs and Transformer Engine scoped graphs for attention, MLP, and MoE modules.

NVIDIA/skills

Validate and use MoE expert-parallel communication overlap in Megatron-Bridge, including overlapmoeexpertparallelcomm, delaywgradcompute, and flex dispatcher backends such as DeepEP and HybridEP.

NVIDIA/skills

Operational guide for enabling Megatron FSDP in Megatron-Bridge, including config knobs, code anchors, pitfalls, and verification.

NVIDIA/skills

Techniques for reducing peak GPU memory in Megatron Bridge — expandable segments, PEFT + SP input re-gather, parallelism resizing, activation recompute, CPU offloading constraints, and common OOM…

NVIDIA/skills

MoE expert-parallel communication overlap in Megatron Bridge.

NVIDIA/skills