Individual skill
doca-gpunetio
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.
skills/doca-gpunetio/SKILL.md
Source commit 25340619336e89bcc40365c28bfe9e790430468e
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- Last checked
- Nov 2, 2026
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Repository context
- Repository stars (not skill ratings)
- 3,897
- Repository last updated
- Nov 6, 2026
- License
- Apache-2.0
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- agent-skills Repository topic
- agentic-ai Repository topic
- ai-agents Repository topic
- claude-code Repository topic
- codex Repository topic
- coding-agents Repository topic
- cuda Repository topic
- developer-tools Repository topic
- llm Repository topic
- omniverse Repository topic
- doca Declared skill tag
- gpunetio Declared skill tag
- cuda Declared skill tag
- engineering Derived category
- testing Derived category
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BENCHMARK.mddoc · 10,104 bytesCAPABILITIES.mddoc · 24,473 bytesSKILL.mdcore · 14,801 bytesSKILL.mdcore · 14,801 bytesSKILL.mdcore · 14,801 bytesSKILL.mdcore · 14,801 bytesSKILLCARD.yamlasset · 2,772 bytesTASKS.mddoc · 35,026 bytesevals/evals.jsonasset · 2,446 bytesskill-card.mddoc · 5,471 bytesskill.oms.sigasset · 5,241 bytes
Read excerpt
# DOCA GPUNetIO
## Examples
- **"CUDA kernel reading packets directly from the NIC."** — this is
in scope. Stay on `doca_gpu_eth_rxq` / `_txq` and the persistent
kernel; do not rewrite it as host-CPU Ethernet.
- **"DOCA_ERROR_DRIVER on doca_gpu_create."** — check CUDA device
match and dmabuf / `nvidia-peermem` registration before changing queue type.
## Instructions
Follow Loading order below. Open the tasks companion for configure /
build / run. Open the capabilities companion for GPU vs host path