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CUDA
Skills
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 193 | Install or repair the FoundationPose perception pipeline and build its FoundationStereo TensorRT engines. | NVIDIA/ | 3.6k | — | ~1.5k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 194 | Used for generating synthetic body MRI volumes with NV-Generate-CTMR rflow-mr. | NVIDIA/ | 3.6k | — | ~2k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 195 | 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/ | 3.6k | — | ~2.1k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 196 | NV-Tesseract AD Diffusion — diffusion-based anomaly detection and fine-tuning for multivariate time series. | NVIDIA/ | 3.6k | — | ~2.9k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 197 | NV-Tesseract Forecasting — transformer-based multivariate time series forecasting with DARR (context-enhanced kNN retrieval), interpretability, and fine-tuning. | NVIDIA/ | 3.6k | — | ~3.2k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 198 | cuOpt REST server — start server, endpoints, Python/curl client examples. | NVIDIA/ | 3.6k | — | ~1.5k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 199 | 199.Project Map 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/ | 174 | — | ~5.4k | Automated safety check: Notes | MIT | 2 days ago |
| 200 | Build a Quark ONNX PTQ quantization plan from modelanalysis.json and user intent. | amd/ | 182 | — | ~4.8k | Automated safety check: Pass | MIT | 13 days ago |
| 201 | Diagnose failed Quark installation, PTQ execution, script generation, or export attempts. | amd/ | 182 | — | ~1.9k | Automated safety check: Notes | MIT | 13 days ago |
| 202 | Install or verify the correct PyTorch build for a user's accelerator backend before Quark installation. | amd/ | 182 | — | ~1.6k | Automated safety check: Pass | MIT | 13 days ago |
| 203 | Diagnoses and resolves MCP server registration failures, GPU detection, BigQuery authentication, index build failures, import errors, search quality issues, and performance problems. | RobThePCGuy/ | 196 | — | ~1.2k | Automated safety check: Pass | MIT | 4 days ago |
| 204 | Diagnose CUDA "illegal instruction" / kernel crashes on Triton kernels that reference to TMA loads or stores (maketensordescriptor, TensorDescriptor, descriptor.load, descriptor.store… | facebookexperimental/ | 201 | — | ~1.1k | Automated safety check: Pass | MIT | yesterday |
| 205 | Generate C/C++ or CUDA code from an AI model (PyTorch, LiteRT) using MATLAB Coder or GPU Coder. | matlab/ | 1.1k | — | ~2.8k | Automated safety check: Pass | Unknown | 2 days ago |
| 206 | Generate, verify, refine, and accelerate C/C++ or CUDA code from MATLAB with MATLAB Coder, Embedded Coder, GPU Coder, or MATLAB Test. | matlab/ | 1.1k | — | ~4.2k | Automated safety check: Pass | Unknown | 2 days ago |
| 207 | Deploy AI models to embedded hardware using MathWorks tools (MATLAB, Simulink, Embedded Coder). | matlab/ | 1.1k | — | ~4.6k | Automated safety check: Pass | Unknown | 2 days ago |
| 208 | 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/ | 3.6k | — | ~4k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 209 | 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/ | 3.6k | — | ~3.9k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 210 | 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/ | 3.6k | — | ~3.7k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 211 | 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/ | 3.6k | — | ~4.2k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 212 | 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/ | 3.6k | — | ~3.8k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 213 | Guide installing Earth2Studio via uv or pip, selecting model extras, and configuring the environment. | NVIDIA/ | 3.6k | — | ~1.6k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 214 | Install Holoscan SDK v4.3+ via Conda in a CUDA 13 environment. | NVIDIA/ | 3.6k | — | ~2k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 215 | Install Holoscan SDK via the NGC Docker container. An agent skill from NVIDIA/skills. | NVIDIA/ | 3.6k | — | ~1.9k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 216 | Install Holoscan SDK natively on Ubuntu via apt. An agent skill from NVIDIA/skills. | NVIDIA/ | 3.6k | — | ~1.6k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 217 | Install Holoscan SDK Python wheel via pip into a venv. An agent skill from NVIDIA/skills. | NVIDIA/ | 3.6k | — | ~1.6k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 218 | Guides Holoscan SDK installation: inspects the host, assesses platform compatibility, recommends an install method, and delegates to the matching install skill. | NVIDIA/ | 3.6k | — | ~2.5k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 219 | Validate and use selective and full activation recompute in Megatron Bridge to reduce GPU memory usage at the cost of extra compute. | NVIDIA/ | 3.6k | — | ~4.7k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 220 | Used for command-shape or live NV-Reason-CXR chest X-ray reasoning smoke tests. | NVIDIA/ | 3.6k | — | ~3.9k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 221 | Used for running NV-Segment-CT VISTA3D on CT NIfTI volumes and recording label-map evidence. | NVIDIA/ | 3.6k | — | ~2.1k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 222 | Used for running NV-Segment-CTMR on CT or MRI NIfTI volumes and recording label-map evidence. | NVIDIA/ | 3.6k | — | ~2.3k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 223 | 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/ | 3.6k | — | ~5.3k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 224 | How to create a pull request for the intel/torch-xpu-ops repository. | intel/ | 115 | — | ~1.2k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 225 | 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. | NVIDIA/ | 3.6k | — | ~2.6k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 226 | A skill your agent uses when porting circuits from another framework (e.g. | NVIDIA/ | 3.6k | — | ~1.9k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 227 | Install cuOpt for Python, C, or server via pip, conda, or Docker; verify the install. | NVIDIA/ | 3.6k | — | ~1.1k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 228 | Create, refine, or fix NVIDIA voice agents (Cascaded or Omni) with Pipecat or LiveKit. | NVIDIA/ | 3.6k | — | ~844 | Automated safety check: Pass | Apache-2.0 | yesterday |
| 229 | NVIDIA RAG Blueprint — deploy, configure, troubleshoot, and manage. | NVIDIA/ | 3.6k | — | ~2.8k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 230 | 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/ | 3.6k | — | ~4.5k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 231 | Generate and analyze T1/T2/R roofline reports for PyTorch OOB workloads comparing Intel XPU and NVIDIA CUDA. | intel/ | 115 | — | ~681 | Automated safety check: Pass | Apache-2.0 | yesterday |
| 232 | 232.Mat Lammps Md Build and run LAMMPS molecular dynamics with isolated MLIP-specific binaries (MACE, MatGL/CHGNet, FairChem) to avoid Python and Torch stack conflicts. | learningmatter-mit/ | 176 | — | ~1.2k | Automated safety check: Pass | MIT | 3 days ago |
| 233 | Generate inorganic material structures using MatterGen, a diffusion-based generative model. | learningmatter-mit/ | 176 | — | ~1.8k | Automated safety check: Pass | MIT | 3 days ago |
| 234 | 234.Uma Surface Md 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/ | 100 | — | ~1.6k | Automated safety check: Pass | Unknown | 1 mo ago |
| 235 | 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/ | 174 | — | ~5.4k | Automated safety check: Pass | MIT | 2 days ago |
| 236 | 236.Qmd MCP Skill 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/ | 116 | — | ~1.3k | Automated safety check: Pass | MIT | 26 days ago |
| 237 | Build Holoscan SDK from source via the in-tree ./run script. | NVIDIA/ | 3.6k | — | ~1.5k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 238 | Validate and use CPU offloading in Megatron Bridge, including layer-level activation offloading and fractional optimizer state offloading with HybridDeviceOptimizer. | NVIDIA/ | 3.6k | — | ~2.3k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 239 | 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/ | 3.6k | — | ~3.5k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 240 | Validate and use MoE expert-parallel communication overlap in Megatron-Bridge, including overlapmoeexpertparallelcomm, delaywgradcompute, and flex dispatcher backends such as DeepEP and HybridEP. | NVIDIA/ | 3.6k | — | ~3.5k | Automated safety check: Pass | Apache-2.0 | yesterday |