doca-gpunetio
doca-gpunetio is an agent skill published by nvidia, listed under review & testing. It lives in the NVIDIA/skills repository, which has 3,735 GitHub stars and is licensed under Apache-2.0; we last read it on 2026-10-23.
This skill assists in DOCA GPUNetIO programming by connecting CUDA kernels on NVIDIA GPUs to doca-eth queues via doca_gpu_eth_rxq and doca_gpu_eth_txq, and managing the per-CUDA-device doca_gpu context. It requires credentials for accessing the GPU and related DOCA APIs.
Install
skills is a generic installer for any repository of Claude agent skills -- it reads NVIDIA/skills’s own structure rather than assuming one, the same way this page reads the skill’s own SKILL.md rather than assuming a format.
npx skills add NVIDIA/skills
What it connects to
Unverified means a mention in the skill’s own description, not a citation. A wrong claim here costs nothing to correct and nothing to trust yet.
Maintenance
Use this skill when the user is doing hands-on DOCA GPUNetIO programming — wiring a CUDA kernel on an NVIDIA GPU to a doca-eth queue via doca_gpu_eth_rxq / doca_gpu_eth_txq, standing up the per-CUDA-device doca_gpu context, designing the persistent CUDA kernel that drains the GPU-visible queue, running the dual capability check (DOCA cap-query plus cudaGetDeviceProperties), registering cudaMalloc pools via doca_buf_arr_create_*, or debugging DOCA_ERROR_* returns from the GPUNetIO API. Trigger even when the user does not explicitly mention "DOCA GPUNetIO" or "persistent kernel" — typical implicit phrasings include "CUDA kernel reading packets directly from the NIC", "GPU-initiated networking on BlueField", "DOCA_ERROR_DRIVER on doca_gpu_create", "nvidia_peermem not loaded", "kernel-per-packet is too slow", or "which GPU supports GPU-side packet I/O". Refuse and route elsewhere for general CUDA programming, DOCA Ethernet queue bring-up, DOCA DPA, or DOCA install — those belong to other skills.
doca-gpunetio compared with similar skills
| Skill | Publisher | What it does | Repo stars | Last update |
|---|---|---|---|---|
| doca-gpunetio (this page) | nvidia | Use this skill when the user is doing hands-on DOCA GPUNetIO programming — wiring a CUDA kernel on an NVIDIA… | 3,735 | 2026-10-26 |
| deepstream-sop(same repository) | nvidia | Use this skill when building, deploying, evaluating, debugging, or measuring latency for the DeepStream SOP I… | 3,735 | 2026-10-26 |
| doca-aes-gcm(same repository) | nvidia | Use this skill when the user is doing hands-on DOCA AES-GCM work on a BlueField DPU or ConnectX NIC — configu… | 3,735 | 2026-10-26 |
| doca-argp(same repository) | nvidia | Use this skill for hands-on DOCA Arg Parser CLI work on a shipped sample or new DOCA-using app — adding / rem… | 3,735 | 2026-10-26 |
| doca-bare-metal-deployment(same repository) | nvidia | Running a DOCA-linked binary directly on the hardware, with no container or kubelet: on host x86 with a BlueF… | 3,735 | 2026-10-26 |
| doca-bench-extension(same repository) | nvidia | Use this skill when the operator is authoring, building, loading, or debugging a custom doca-bench plug-in —… | 3,735 | 2026-10-26 |
| doca-caps(same repository) | nvidia | Use this skill when the user wants to invoke the read-only doca_caps CLI to ask what DOCA sees on this host —… | 3,735 | 2026-10-26 |
Skills from the same repository first, then others for this job by repository stars. Figures are from each repository when we last read it.
Common questions about doca-gpunetio
- What does doca-gpunetio do?
- This skill assists in DOCA GPUNetIO programming by connecting CUDA kernels on NVIDIA GPUs to doca-eth queues via doca_gpu_eth_rxq and doca_gpu_eth_txq, and managing the per-CUDA-device doca_gpu context. It requires credentials for accessing the GPU and related DOCA APIs.
- How do I install doca-gpunetio?
- Run npx skills add NVIDIA/skills. The skills installer reads the repository’s own structure, so it works for any repository of agent skills.
- Who publishes doca-gpunetio?
- nvidia.
- Is doca-gpunetio maintained, and what licence does it use?
- Its repository has 3,735 GitHub stars and its state in our directory is listed. Its last commit we recorded was on 2026-10-26. The repository declares the Apache-2.0 licence.
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