Official agent skill

Doca Dma

by NVIDIA in NVIDIA/skills

A skill your agent uses when the user is doing hands-on DOCA DMA programming — bringing up a docadma context, configuring the single docadmataskmemcpy task type, sizing buffers via the…

OfficialApache-2.0Auto-check passedDevelopment

Install Doca Dma

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

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

GitHub CLI
$ gh skill install NVIDIA/skills doca-dma --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-dma .claude/skills/doca-dma && 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-dma
GitHub stars
3.5k
Token cost
~3.3k tokens
SKILL.md length
1,442 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 DMA programming — bringing up a docadma context, configuring the single docadmataskmemcpy task type, sizing buffers via the…

  • Works in 3 steps: Read this SKILL.md first to confirm the… → **For the DMA capability surface, the… → **For step-by-step workflows —…
  • The user is doing hands-on DOCA DMA programming — bringing up a docadma context
  • SKILL.md covers Example questions this skill…, Audience, When to load this skill and What this skill provides, plus 3 more sections
  • Reaches docs.nvidia.com

What it does

Doca Dma 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 DMA programming — bringing up a docadma context, configuring the single docadmataskmemcpy task type, sizing buffers via the docadmacaptaskmemcpy queries, setting LOCALREADONLY / LOCALREADWRITE permissions on source / destination docammap regions (plus docammapexport for cross-peer copies), driving the progress engine, or debugging DOCAERROR returns. Trigger even when the user does not explicitly mention "DOCA DMA" or "docammap" — typical implicit phrasings…

Its SKILL.md is about 3.3k 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. Reads the user's…

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

  • The user is doing hands-on DOCA DMA programming — bringing up a docadma context
  • Configuring the single docadmataskmemcpy task type
  • Sizing buffers via the docadmacaptaskmemcpy queries
  • Setting LOCALREADONLY / LOCALREADWRITE permissions on source / destination docammap regions (plus docammapexport for cross-peer copies)

Example prompts

  • “DOCA DMA”
  • “docammap”
  • “memcpy host buffer to BlueField without using the CPU”
  • “/doca-dma”

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. Reads the user's local install via `pkg-config doca-dma` and inspects /opt/mellanox/doca/{lib,include,samples,applications}.

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
  2. **For the DMA capability surface, the memcpy task type, the
  3. **For step-by-step workflows — configure, build, modify, run,

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

    Hosts in commands or code, which the agent is likely to contact:

    • docs.nvidia.com

    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. Reads the user's local install via `pkg-config doca-dma` and inspects /opt/mellanox/doca/{lib,include,samples,applications}.

    From compatibility in the SKILL.md frontmatter.

Context cost

Doca Dma loads about 3.3k tokens when it runs. Until then it costs about 252 tokens; SKILL.md has 1,442 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~252
When it runs · the whole SKILL.md, loaded when a task matches
~3.3k

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). 1,442 words, ~3,326 tokens.

Download SKILL.mdSave it as .claude/skills/doca-dma/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.
name
doca-dma
description
Use this skill when the user is doing hands-on DOCA DMA programming — bringing up a doca_dma context, configuring the single doca_dma_task_memcpy task type, sizing buffers via the doca_dma_cap_task_memcpy_* queries, setting LOCAL_READ_ONLY / LOCAL_READ_WRITE permissions on source / destination doca_mmap regions (plus doca_mmap_export_* for cross-peer copies), driving the progress engine, or debugging DOCA_ERROR_* returns. Trigger even when the user does not explicitly mention "DOCA DMA" or "doca_mmap" — typical implicit phrasings include "memcpy host buffer to BlueField without using the CPU", "offload a bulk copy to the DPU", "copy returns NOT_PERMITTED on first submit", "buffer too big for one DMA task", "task submitted but no completion", or "scatter-gather copy between two memory regions". Refuse and route elsewhere for cross-network copies (DOCA RDMA), producer/consumer messaging (DOCA Comch), DOCA Core / progress-engine internals, or DOCA install — 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. Reads the user's local install via `pkg-config doca-dma` and inspects /opt/mellanox/doca/{lib,include,samples,applications}.
license
Apache-2.0
metadata.kind
library

DOCA DMA

Where to start: This skill assumes DOCA is already installed and the user is doing hands-on DMA work on a BlueField / ConnectX / host with DOCA. Open TASKS.md if the user wants to do something (configure / build / modify / run / test / debug); open CAPABILITIES.md when the question is what can DMA express on this version. If the user has not installed DOCA yet, route to doca-setup first. If the user is not sure DMA is even the right library — the data has to traverse the network, or the flow is small messages between two processes — read the path-selection rule in CAPABILITIES.md ## Capabilities and modes before configuring anything.

Example questions this skill answers well

The CLASSES of DMA 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.

  • "How do I bring up a DOCA DMA context and copy a buffer between host and DPU?" — worked example: "copy a 64 KiB buffer from host memory to DPU memory in one task, starting from the shipped DMA Copy reference application". Answered by the lifecycle + memcpy-task workflow in TASKS.md ## configure + CAPABILITIES.md ## Capabilities and modes task-type table.
  • "How big a buffer can I memcpy in one task on this device?" — worked example: "can I copy 16 MiB in a single doca_dma_task_memcpy". Answered by the capability-query rule (doca_dma_cap_task_memcpy_get_max_buf_size, plus _get_max_buf_list_len for scatter-gather) in CAPABILITIES.md ## Capabilities and modes
  • "What permissions do my source and destination mmaps need?" — worked example: "my memcpy task returns DOCA_ERROR_NOT_PERMITTED on the first submit". Answered by the source / destination permission matrix in CAPABILITIES.md ## Safety policy
  • "Should I use DOCA DMA or DOCA RDMA / Comch / a plain CPU memcpy for this copy?" — worked example: "I have a 1 MiB copy that has to go from a host process to a DPU process; do I want DMA or Comch fast-path". Answered by the "when to use DMA" vs "when not to" path-selection bullet in CAPABILITIES.md ## Capabilities and modes
  • "Is DOCA DMA on my installed version, and is the memcpy task supported on my device?" — worked example: "is doca_dma_task_memcpy available on DOCA 2.6 against this ConnectX-6". Answered by the version-compatibility overlay in CAPABILITIES.md ## Version compatibility, which cross-links the canonical detection chain in doca-version, plus the capability-query rule in CAPABILITIES.md ## Capabilities and modes.
  • "What does this DOCA_ERROR_* from a DMA call mean and which layer caused it?" — worked example: "DOCA_ERROR_AGAIN from doca_task_submit on a doca_dma_task_memcpy". Answered by the DMA overlay on the cross-library taxonomy in CAPABILITIES.md ## Error taxonomy

Audience

This skill serves external developers building applications that consume the DOCA DMA library — i.e., users whose code calls doca_dma_* (directly in C/C++, or through FFI/bindings from another language) to copy bytes between two doca_mmap regions using the BlueField DMA engine instead of the host CPU. It is not for NVIDIA developers contributing to DOCA DMA itself.

Language scope. DOCA DMA ships as a C library with pkg-config module name doca-dma. The shipped samples are written in C. C and C++ consumers are the canonical case and the worked examples in TASKS.md assume that path. Other-language consumers (Rust, Go, Python, …) consume the same *.so through FFI or language-specific bindings; the skill's contribution in that case is to keep the lifecycle, capability-discovery, permission, error-taxonomy, and path-selection guidance language-neutral, and to route the agent to the public C ABI as the authoritative surface that any wrapper will eventually call.

When to load this skill

Load this skill when the user is doing hands-on DOCA DMA work, in any language. Concretely:

  • Initializing a doca_dma context on a doca_dev and configuring the memcpy task type via doca_dma_task_memcpy_set_conf before doca_ctx_start().
  • Setting up the source and destination doca_mmap regions for a memcpy, including the per-side permission flags (DOCA_ACCESS_FLAG_LOCAL_READ_ONLY on the source, DOCA_ACCESS_FLAG_LOCAL_READ_WRITE on the destination) and, for cross-peer copies, the doca_mmap_export_* step.
  • Reading the device capability surface for DMA via the doca_dma_cap_task_memcpy_* query family (_is_supported, _get_max_buf_size, _get_max_buf_list_len) before sizing any buffer or assuming scatter-gather is available.
  • Submitting doca_dma_task_memcpy tasks against a DOCA progress engine and reacting to per-task completion events.
  • Choosing between DOCA DMA and an adjacent option (DOCA RDMA when the data has to cross the network, DOCA Comch fast-path for message-oriented producer/consumer flows, plain CPU memcpy when the copy is tiny and one-shot).
  • Debugging a DOCA_ERROR_* returned from a DMA call (lifecycle vs. permission vs. capability vs. would-block) and the per-task completion status reported on the progress engine.
  • Designing or extending non-C bindings (Rust, Go, Python, …) that wrap the DMA C ABI — for the lifecycle, permission, and capability rules the wrapper must honor.

Do not load this skill for general DOCA orientation, install of DOCA itself, or non-DMA library questions. For those, use doca-public-knowledge-map.

Show full SKILL.md (633 more words)Show less

What this skill provides

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

  • CAPABILITIES.md — what DMA can express on this version: the single doca_dma_task_memcpy task type and its scatter-gather buffer-list shape, the capability-query surface (doca_dma_cap_task_memcpy_*), the DMA error taxonomy (mapped onto the cross-library DOCA_ERROR_* set), the observability surface (per-task completion events on the progress engine), the source / destination mmap permission policy, and the path-selection rule against the adjacent libraries (RDMA / Comch / CPU memcpy).
  • TASKS.md — step-by-step workflows for the six in-scope DMA verbs: configure, build, modify, run, test, 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 — that path goes through doca-setup.

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 DMA application source code, in any language. The verified DMA source code is the shipped C samples at /opt/mellanox/doca/samples/doca_dma/<name>/ and the DMA Copy reference application reachable via doca-public-knowledge-map. The agent's job is to route the user to those files and prescribe a minimum-diff modification on them via the universal modify-a-sample workflow in doca-programming-guide, layered with the DMA-specific overrides in TASKS.md ## modify.
  • 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-dma is the source of truth.
  • 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 DMA capability surface, the memcpy task type, the capability-query rule, the source / destination permission matrix, the error taxonomy, observability, and the path-selection rule against RDMA / Comch / CPU memcpy, see CAPABILITIES.md.
  3. For step-by-step workflows — configure, build, modify, run, test, debug — see TASKS.md.

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

  • doca-public-knowledge-map — the routing table for every public DOCA documentation source and the on-disk layout of an installed DOCA package. The DMA URL is https://docs.nvidia.com/doca/sdk/DOCA-DMA/index.html; the canonical reference application is DMA Copy.
  • doca-setup — env preparation, install verification, and the I have no install yet path with the public NGC DOCA container. This skill assumes its preconditions are satisfied.
  • doca-version — canonical DOCA version-handling rules. This skill's ## Version compatibility cross-links the four-way match rule + detection chain and adds at most one DMA-specific overlay rule.
  • doca-structured-tools-contract — the bundle's structured-tools precedence rule (detect / prefer / fall back / report). The Command appendix in TASKS.md honors this contract.
  • 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 lifecycle, the cross-library DOCA_ERROR_* taxonomy, and the program-side debug order. This skill layers DMA specifics on top.
  • doca-rdma — the right library when the copy has to traverse the network. This skill's path-selection rule routes to RDMA when DMA is not the answer.
  • doca-comch — the right library when the flow is producer / consumer messaging between a host and DPU process pair, rather than a raw mmap-to-mmap copy.
  • doca-debug — the cross-cutting debug ladder (install / version / build / link / runtime / program / driver). DMA-specific debug (lifecycle violations, permission mismatches, oversize-buffer rejections) overlays on top of that ladder.

© 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-dma 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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Categories

Questions about Doca Dma

What does Doca Dma do?

A skill your agent uses when the user is doing hands-on DOCA DMA programming — bringing up a docadma context, configuring the single docadmataskmemcpy task type, sizing buffers via the…. Doca Dma 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 DMA programming — bringing up a docadma context, configuring the single docadmataskmemcpy task type, sizing buffers via the docadmacaptaskmemcpy queries, setting LOCALREADONLY / LOCALREADWRITE permissions on source / destination docammap regions (plus docammapexport for cross-peer copies), driving the progress engine, or debugging DOCAERROR returns.

When should I use Doca Dma?

Doca Dma fits situations like: the user is doing hands-on DOCA DMA programming — bringing up a docadma context; configuring the single docadmataskmemcpy task type; sizing buffers via the docadmacaptaskmemcpy queries; setting LOCALREADONLY / LOCALREADWRITE permissions on source / destination docammap regions (plus docammapexport for cross-peer copies).

How do I install Doca Dma in Claude Code?

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

How do I install Doca Dma in Codex?

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

Can I use Doca Dma 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-dma -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-dma, .gemini/skills/doca-dma, .github/skills/doca-dma and .opencode/skills/doca-dma in your project.

What does Doca Dma need to run?

SKILL.md names no scripts, command-line tools or credentials: Doca Dma 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. Reads the user's local install via `pkg-config doca-dma` and inspects /opt/mellanox/doca/{lib,include,samples,applications}. .

Does Doca Dma access the network?

SKILL.md names 1 domain. In commands or code: docs.nvidia.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Doca Dma 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 Dma use?

Doca Dma 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 Dma use?

About 3.3k tokens (SKILL.md is roughly 13k 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 Dma?

Skills that share tags, products or a category with Doca Dma: 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 Dma?

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.