Agent Skill
Doca Gpi skill
doca-gpiNVIDIA/skillsskills/doca-gpi/SKILL.md
Use this skill 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. Covers picking GPI vs doca-gpunetio, the doca_gpi / domain / channel object model, the GPU-side handle handoff (doca_gpu_gpi_channel*), attaching GPU memory to a GPI domain, the domain and channel attribute objects, and debugging DOCA_ERROR_* from doca_gpi_* calls. Trigger even when the user does not explicitly mention "DOCA GPI" — implicit phrasings include "my CUDA kernel needs to post RDMA directly from GPU memory", "DOCA_ERROR_* from doca_gpi_gpu_channel_get", "how do I hand a GPU handle to my CUDA kernel", "how many channels can a GPI domain hold", or "GPU kernel driving RDMA without the host CPU on the path". Refuse and route elsewhere for the doca-gpunetio Send/Receive surface, the doca-rdma queue lifecycle, DPA-side initiation (doca-rdmi), or the CUDA programming model — those belong to other skills.
always on
249 tokname + description
once used
3,592 tokSKILL.md body
bundled files
778 KB
repo stars
3.7kGitHub
Install the Doca Gpi skill
Skills CLI (Claude Code, Codex, Cursor and others)
npx skills add https://github.com/NVIDIA/skills --skill doca-gpi
Claude Code, by hand (all projects)
git clone --depth 1 https://github.com/NVIDIA/skills.git /tmp/skills mkdir -p ~/.claude/skills cp -R /tmp/skills/skills/doca-gpi ~/.claude/skills/doca-gpi
For one project only, copy the folder into .claude/skills/ in that project instead. The agent picks it up when a task matches its description.
What it costs your context
Agent Skills load in three steps. Tokens counted with the o200k tokenizer; your model's count will differ a little.
| When | What loads | Cost |
|---|---|---|
| Every session | Name and description | 249 tok |
| When the agent uses it | The SKILL.md instructions | 3,592 tok |
| Only if opened | 7 bundled files (78 KB) | varies |
Until it is used, doca-gpi costs about 5.5× less than the median MCP server we measured (1,363 tokens on every turn). Installing all 150 skills from NVIDIA/skills would load 20,796 tokens of descriptions. Skills vs MCP study
Checks
Our checks found nothing to flag: it follows the Agent Skills specification's naming and size guidelines and doesn't pipe downloads into a shell.
Checked 2026-10-22 · method
What's inside
The headings of its SKILL.md. Read the full file on GitHub.
- DOCA GPI
- Examples
- Instructions
- Example questions this skill answers well
- Audience
- Language scope
- When to load this skill
- What this skill provides
- What this skill deliberately does not ship
- Loading order
- Related skills
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