Official agent skill

Doca Rdmi

by NVIDIA in NVIDIA/skills

A skill your agent uses when the user is doing hands-on DOCA RDMI (RDMA Initiator) programming — picking doca-rdmi vs doca-rdma for an accelerator-initiated one-sided RDMA flow, standing up a…

OfficialApache-2.0Auto-check passedDevelopment

Install Doca Rdmi

skills CLI
$ npx skills add NVIDIA/skills --skill doca-rdmi -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install NVIDIA/skills doca-rdmi --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/doca-rdmi .claude/skills/doca-rdmi && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
doca-rdmi
GitHub stars
3.5k
Token cost
~3.8k tokens
SKILL.md length
1,657 words
Files
8
Skills in repo
380
Repo updated
First seen
Licence
Apache-2.0

At a glance

A skill your agent uses when the user is doing hands-on DOCA RDMI (RDMA Initiator) programming — picking doca-rdmi vs doca-rdma for an accelerator-initiated one-sided RDMA flow, standing up a…

  • Works in 3 steps: Read this SKILL.md first to confirm the… → **For the RDMI object model, the… → **For step-by-step workflows — install,…
  • Standing up a docardmiconnection
  • SKILL.md covers Example questions this skill…, Audience, Language scope and When to load this skill, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Doca Rdmi is an agent skill from NVIDIA/skills, published by the product's own GitHub organization. Use this skill when the user is doing hands-on DOCA RDMI (RDMA Initiator) programming — picking doca-rdmi vs doca-rdma for an accelerator-initiated one-sided RDMA flow, standing up a docardmiconnection or docardmiposter, attaching a docadpacompletion or docaverbscq before docactxstart(), retrieving the DPA-side handle for a DPA kernel, auditing whether a docardmi symbol is EXPERIMENTAL on this DOCA, or debugging DOCAERROR returns from RDMI calls. Trigger even when the user does not say "DOCA RDMI" or "initiator"…

Its SKILL.md is about 3.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 8 other files (for example `BENCHMARK.md`, `CAPABILITIES.md` and `SKILLCARD.yaml`). Compatibility notes: Requires DOCA SDK installed at /opt/mellanox/doca on Linux (Ubuntu 22.04/24.04 or RHEL/SLES) with a BlueField DPU or ConnectX NIC attached, plus the DOCA DPA…

It sits in Development. The repository describes itself as: Agent Skills for NVIDIA products — install into Claude Code, Codex, and other coding agents to run Physical AI, robotics, simulation, CUDA, and RAG workflows end to end. The licence is Apache-2.0.

When your agent uses it

  • Standing up a docardmiconnection
  • Attaching a docadpacompletion
  • Docaverbscq before docactxstart()
  • Retrieving the DPA-side handle for a DPA kernel

Example prompts

  • “DOCA RDMI”
  • “initiator”
  • “my DPA kernel needs to post RDMA writes to a remote responder”
  • “/doca-rdmi”

Requirements

  • Compatibility (from SKILL.md): Requires DOCA SDK installed at /opt/mellanox/doca on Linux (Ubuntu 22.04/24.04 or RHEL/SLES) with a BlueField DPU or ConnectX NIC attached, plus the DOCA DPA toolchain and a DPA-capable BlueField when the data path runs on the DPA. Reads the user's local install via `pkg-config doca-rdmi` (alongside doca-common, doca-verbs, doca-dpa) and inspects /opt/mellanox/doca/{lib,include,samples}.

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

  1. Read this SKILL.md first to confirm the user's question is in
  2. **For the RDMI object model, the DPA-side handoff pattern, the
  3. **For step-by-step workflows — install, configure, build,

What it can do on your machine

Read from SKILL.md and the folder at commit 0e0d506. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

  • Compatibility

    Requires DOCA SDK installed at /opt/mellanox/doca on Linux (Ubuntu 22.04/24.04 or RHEL/SLES) with a BlueField DPU or ConnectX NIC attached, plus the DOCA DPA toolchain and a DPA-capable BlueField when the data path runs on the DPA. Reads the user's local install via `pkg-config doca-rdmi` (alongside doca-common, doca-verbs, doca-dpa) and inspects /opt/mellanox/doca/{lib,include,samples}.

    From compatibility in the SKILL.md frontmatter.

Context cost

Doca Rdmi loads about 3.8k tokens when it runs. Until then it costs about 250 tokens; SKILL.md has 1,657 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~250
When it runs · the whole SKILL.md, loaded when a task matches
~3.8k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from NVIDIA/skills at commit 0e0d506, republished under its Apache-2.0 licence (© NVIDIA). 1,657 words, ~3,834 tokens.

Download SKILL.mdSave it as .claude/skills/doca-rdmi/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.
name
doca-rdmi
description
Use this skill when the user is doing hands-on DOCA RDMI (RDMA Initiator) programming — picking doca-rdmi vs doca-rdma for an accelerator-initiated one-sided RDMA flow, standing up a doca_rdmi_connection or doca_rdmi_poster, attaching a doca_dpa_completion or doca_verbs_cq before doca_ctx_start(), retrieving the DPA-side handle for a DPA kernel, auditing whether a doca_rdmi_* symbol is EXPERIMENTAL on this DOCA, or debugging DOCA_ERROR_* returns from RDMI calls. Trigger even when the user does not say "DOCA RDMI" or "initiator" — implicit phrasings include "my DPA kernel needs to post RDMA writes to a remote responder", "DPA kernel sees no completions", "function not found on doca_rdmi_* at link time", "DOCA_ERROR_BAD_STATE from completion attach", or "the DPA posted but the work request never arrived". Refuse and route elsewhere for two-sided or host-CPU RDMA, the DPA programming model, GPU-side RDMA initiation, or general RDMA/IB/RoCE concepts — those belong to other skills.
compatibility
Requires DOCA SDK installed at /opt/mellanox/doca on Linux (Ubuntu 22.04/24.04 or RHEL/SLES) with a BlueField DPU or ConnectX NIC attached, plus the DOCA DPA toolchain and a DPA-capable BlueField when the data path runs on the DPA. Reads the user's local install via `pkg-config doca-rdmi` (alongside doca-common, doca-verbs, doca-dpa) and inspects /opt/mellanox/doca/{lib,include,samples}.
license
Apache-2.0
metadata.kind
library

DOCA RDMA Initiator

Where to start: This skill assumes DOCA is already installed and the user is doing hands-on RDMI work on a host or BlueField with the DOCA package set that ships the doca-rdmi library. Open TASKS.md if the user wants to do something (install / configure / build / modify / run / test / debug / use); open CAPABILITIES.md when the question is what can RDMI express on this version — the object model, the DPA-side handle types, the relationship to doca-rdma, the EXPERIMENTAL-tag policy, and the safety overlay.

End-to-end "walk me through doca-rdmi" questions are answerable entirely from this skill. Go straight to TASKS.md ## end-to-end (quickref), which carries the self-contained install-check → device/cap discovery → sample → pkg-config build → run → debug walkthrough with the exact commands. You do not need to open doca-setup or doca-programming-guide to answer an RDMI build/run/debug question. Route to doca-setup when the required DOCA prerequisites are absent, partial, or version-mismatched.

Example questions this skill answers well

The CLASSES of RDMI questions this skill is built to answer, each with one worked example. The agent should treat the class as the load-bearing piece — the worked example is a single instance.

  • "Should I use doca-rdmi or doca-rdma for this case?" — worked example: "I have a DPA kernel that needs to fire 1 MB RDMA writes at a remote responder; which library?". Answered by the initiator-side vs general-purpose selection rule in CAPABILITIES.md ## Capabilities and modes surface-selection table + the routing back to doca-rdma when the use case is two-sided or host-CPU initiated.
  • "How do I bring up an RDMI connection on the DPA datapath?" — worked example: "create a doca_rdmi_connection, attach a DPA completion context, hand the DPA-side handle to my kernel". Answered by the connection-object lifecycle in CAPABILITIES.md ## Capabilities and modes
  • "How do connection and poster relate — when do I need both?" — worked example: "my application receives work requests AND posts RDMA writes; do I need a doca_rdmi_connection plus a doca_rdmi_poster, or one of them?". Answered by the two-object model in CAPABILITIES.md ## Capabilities and modes
  • "How do I drive completions on the DPA side?" — worked example: "hook the connection to a doca_dpa_completion so my kernel polls completions directly". Answered by the DPA-side completion-attach pattern in CAPABILITIES.md ## Capabilities and modes
  • "Is the symbol I want available — and is it stable enough to ship?" — worked example: "is doca_rdmi_poster_post GA on my installed DOCA, or still EXPERIMENTAL?". Answered by the EXPERIMENTAL-tag policy in CAPABILITIES.md ## Version compatibility
  • "What does this DOCA_ERROR_* from a doca_rdmi_* call mean?" — worked example: "DOCA_ERROR_BAD_STATE from doca_rdmi_connection_dpa_completion_attach". Answered by the RDMI overlay on the cross-library taxonomy in CAPABILITIES.md ## Error taxonomy

Audience

This skill serves external developers building DPA-resident DOCA applications that need to initiate one-sided RDMA operations against a remote responder — i.e., users whose accelerator-side code wants to post sends, writes, or reads directly from the accelerator without round-tripping through the host CPU. The canonical caller is a DPA kernel that has been compiled with doca-dpacc-compiler and runs on the BlueField DPA datapath; a GPU-side caller that drives the DPU's RDMA queues is the sister case routed to doca-gpi. This skill is not for NVIDIA developers contributing to DOCA RDMI itself, and it is not the right surface for general host-CPU two-sided RDMA — that belongs to doca-rdma.

Language scope

DOCA RDMI ships as a C library with the pkg-config module name doca-rdmi. The library's host-side surface (doca_rdmi_connection_*, doca_rdmi_poster_*) is C; the DPA-side surface that the accelerator kernel uses is also C, compiled against the DOCA DPA toolchain documented in doca-dpa. Other-language consumers (Rust, Go, Python, …) consume the host-side *.so through FFI; the skill's contribution in that case is to keep the connection / poster lifecycle, the EXPERIMENTAL-tag policy, the DPA-side handoff rules, and the safety overlay language-neutral, and to route the agent to the public C ABI as the authoritative surface that any wrapper will eventually call. The DPA-side surface is not wrappable in another language — it is compiled and linked into the DPA binary itself.

When to load this skill

Load this skill when the user is doing hands-on DOCA RDMI work on a host or BlueField with DOCA installed. Concretely:

  • Deciding between doca-rdmi and doca-rdma for a new one-sided RDMA workload that runs from the DPA datapath.
  • Creating a doca_rdmi_connection or doca_rdmi_poster, attaching a doca_dpa_completion or a doca_verbs_cq, and starting the context on the DPA datapath.
  • Wiring the DPA-side handle returned by doca_rdmi_connection_get_dpa_handle / doca_rdmi_poster_get_dpa_handle into a DPA kernel that calls the matching device-side header (doca_rdmi_dev_connection.h, doca_rdmi_dev_poster.h, doca_rdmi_dev_cqe.h).
  • Acknowledging receive completions on the host side via doca_rdmi_connection_recv_ack after the DPA kernel consumed them.
  • Auditing which RDMI symbols are EXPERIMENTAL on the installed DOCA version, before declaring an RDMI-using component production-stable.
  • Debugging a DOCA_ERROR_* returned by a doca_rdmi_* call and deciding whether the cause is a configuration mistake, a lifecycle ordering bug, an unsupported capability on this device, or a layer below DOCA.

Do not load this skill for general DOCA orientation, install of DOCA itself, or two-sided host-CPU RDMA questions. For those, use doca-public-knowledge-map, doca-setup, and doca-rdma respectively.

What this skill provides

This is a thin loader. The body keeps only the orientation needed to pick the right next file. The substantive RDMI-specific material lives in two companion files:

  • CAPABILITIES.md — what RDMI can express on this version: the doca_rdmi_connection and doca_rdmi_poster object model, the DPA-side completion-attach pattern, the relationship to doca-verbs (RDMI builds on a doca_verbs_context) and to doca-dpa (the accelerator-side datapath), the EXPERIMENTAL-tag rule for version handling, the RDMI overlay on the cross-library DOCA_ERROR_* taxonomy, the observability surface (completion events on the PE / DPA-side completions), and the safety policy that gates posting work from an accelerator kernel into a remote responder's memory.
  • TASKS.md — step-by-step workflows for the eight in-scope verbs: install, configure, build, modify, run, test, debug, use. Plus a ## rollback overlay (RDMI-specific five-step teardown for the verbs / connection / DPA-attach / MR stack) and the 5-phase universal debug-loop instantiation appended to ## debug. Plus a Deferred task verbs block that points out-of-scope questions at the right next skill.

The skill assumes a host or BlueField where DOCA is already installed at the standard location and the user has the privileges their public install profile expects. It does not cover installing DOCA itself — that path goes through doca-setup.

Show full SKILL.md (590 more words)Show less

What this skill deliberately does not ship

This skill is agent guidance, not a samples or templates bundle. To keep the boundary clean, it deliberately does not contain — and pull requests should not add:

  • Pre-written DOCA RDMI application source code, in any language. The agent's job is to route the user to verified reference code on the user's installed DOCA and to prescribe a minimum-diff modification via the universal modify-a-sample workflow in doca-programming-guide, layered with the RDMI-specific overrides in TASKS.md ## modify. Because every RDMI symbol is EXPERIMENTAL at the time of writing, the skill refuses to author RDMI source code from documentation prose — the API can change between releases and the resulting code may not even compile.
  • Standalone build manifests (meson.build, CMakeLists.txt, Cargo.toml, …) parked inside the skill. The agent constructs the build manifest in the user's project directory against the user's installed DOCA, where pkg-config --modversion doca-rdmi is the source of truth.
  • DPA-side kernel templates. The DPA-side surface is owned by doca-dpa; RDMI's DPA-side headers are consumed by the DPA programming model documented there. This skill names the RDMI-specific handoff (the DPA handle type, the completion-attach call) but does not author DPA kernels.
  • A samples/, bindings/, or reference/ subtree of any kind. A mock or incomplete artifact in this skill's tree, even one labeled "reference", is misleading: users will read it as buildable.

Loading order

  1. Read this SKILL.md first to confirm the user's question is in scope.
  2. For the RDMI object model, the DPA-side handoff pattern, the EXPERIMENTAL-tag policy, the error taxonomy, observability, and safety policy, see CAPABILITIES.md.
  3. For step-by-step workflows — install, configure, build, modify, run, test, debug, use — see TASKS.md.

Both companion files cross-link to each other and to doca-public-knowledge-map whenever the right answer is "look it up in the public docs or the installed package layout" rather than "RDMI-specific guidance".

  • doca-rdma — the higher-level RDMA library covering two-sided and host-CPU-initiated RDMA. RDMI is the focused initiator-side surface; doca-rdma is the right answer for the majority of RDMA use cases. The selection table in CAPABILITIES.md ## Capabilities and modes is the load-bearing decision aid.
  • doca-dpa — the DOCA DPA programming surface. RDMI returns DPA-side handles (doca_dpa_dev_rdmi_connection_t, doca_rdmi_dev_poster_t) that the DPA kernel uses through the device-side headers (doca_rdmi_dev_connection.h, doca_rdmi_dev_poster.h, doca_rdmi_dev_cqe.h); the DPA toolchain, kernel build, and execution model are owned by that skill.
  • doca-gpi — the GPU-side sister of this skill. GPI is the channel/queue surface a CUDA kernel uses to initiate RDMA; RDMI is the DPA-side surface. Both layer on the same DOCA RDMA / verbs substrate; either may apply depending on whether the initiator is on the DPA or on the GPU.
  • doca-public-knowledge-map — the routing table for every public DOCA documentation source and the on-disk layout of an installed DOCA package.
  • doca-setup — env preparation, install verification, and the I have no install yet path with the public NGC DOCA container.
  • doca-programming-guide — general DOCA programming patterns shared by every library: the canonical pkg-config + meson build pattern, the universal modify-a-shipped-sample first-app workflow, the universal Core-context lifecycle, the cross-library DOCA_ERROR_* taxonomy. This skill layers RDMI specifics on top.
  • doca-debug — the cross-cutting debug ladder (install / version / build / link / runtime / program / driver). RDMI-specific debug overlays on top of it.
  • doca-hardware-safety — the bundle-wide hardware-safety meta-policy. The ## Safety policy overlay in CAPABILITIES.md cross-links it.
  • doca-version — the version detection / four-way match rule every per-artifact ## Version compatibility anchor builds on. This skill quotes the RDMI-specific overlay only.
  • doca-structured-tools-contract — the JSON-schema contracts for the agent-preferred structured helpers (env probe, capability snapshot, version-matrix lookup); the ## Command appendix in TASKS.md defers to them before falling back to the manual chain.

© NVIDIA, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 7 other files in skills/doca-rdmi of NVIDIA/skills.

  • SKILL.md
  • BENCHMARK.md
  • CAPABILITIES.md
  • SKILLCARD.yaml
  • TASKS.md
  • evals/evals.json
  • skill-card.md
  • skill.oms.sig

Open the folder on GitHubat commit 0e0d506

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Code Review ChecklistshareAI-lab/learn-claude-code78k5 repos~1.1kAutomated safety check: PassMIT
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Categories

Questions about Doca Rdmi

What does Doca Rdmi do?

A skill your agent uses when the user is doing hands-on DOCA RDMI (RDMA Initiator) programming — picking doca-rdmi vs doca-rdma for an accelerator-initiated one-sided RDMA flow, standing up a…. Doca Rdmi is an agent skill from NVIDIA/skills, published by the product's own GitHub organization. Use this skill when the user is doing hands-on DOCA RDMI (RDMA Initiator) programming — picking doca-rdmi vs doca-rdma for an accelerator-initiated one-sided RDMA flow, standing up a docardmiconnection or docardmiposter, attaching a docadpacompletion or docaverbscq before docactxstart(), retrieving the DPA-side handle for a DPA kernel, auditing whether a docardmi symbol is EXPERIMENTAL on this DOCA, or debugging DOCAERROR returns from RDMI calls.

When should I use Doca Rdmi?

Doca Rdmi fits situations like: standing up a docardmiconnection; attaching a docadpacompletion; docaverbscq before docactxstart(); retrieving the DPA-side handle for a DPA kernel.

How do I install Doca Rdmi in Claude Code?

Run `npx skills add NVIDIA/skills --skill doca-rdmi -a claude-code`. Or copy the skill folder (skills/doca-rdmi in NVIDIA/skills) into .claude/skills/doca-rdmi in your project. Claude Code loads it when a task matches its description.

How do I install Doca Rdmi in Codex?

Run `npx skills add NVIDIA/skills --skill doca-rdmi -a codex`. Or copy the skill folder (skills/doca-rdmi in NVIDIA/skills) into .agents/skills/doca-rdmi in your project. Codex loads it when a task matches its description.

Can I use Doca Rdmi in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add NVIDIA/skills --skill doca-rdmi -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/doca-rdmi, .gemini/skills/doca-rdmi, .github/skills/doca-rdmi and .opencode/skills/doca-rdmi in your project.

What does Doca Rdmi need to run?

SKILL.md names no scripts, command-line tools or credentials: Doca Rdmi is instructions for the agent only. Compatibility (from SKILL.md): Requires DOCA SDK installed at /opt/mellanox/doca on Linux (Ubuntu 22.04/24.04 or RHEL/SLES) with a BlueField DPU or ConnectX NIC attached, plus the DOCA DPA toolchain and a DPA-capable BlueField when the data path runs on the DPA. Reads the user's local install via `pkg-config doca-rdmi` (alongside doca-common, doca-verbs, doca-dpa) and inspects /opt/mellanox/doca/{lib,include,samples}. .

Does Doca Rdmi access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Doca Rdmi safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Doca Rdmi use?

Doca Rdmi is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Doca Rdmi use?

About 3.8k tokens (SKILL.md is roughly 15k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Doca Rdmi?

Skills that share tags, products or a category with Doca Rdmi: Finishing a Development Branch (obra/superpowers, 296k stars), Typescript Advanced Types (rolling-scopes/rsschool-app, 10k stars), PR Babysitter (openinterpreter/openinterpreter, 69k stars) and Code Review Checklist (shareAI-lab/learn-claude-code, 78k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Doca Rdmi?

NVIDIA (a GitHub organization, an official publisher) maintains it in NVIDIA/skills, which has 3,534 GitHub stars. The repository holds 380 skills in this directory. The repository was last updated on October 7, 2026.

Source: NVIDIA/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.