Official agent skill

Doca Dpa

by NVIDIA in NVIDIA/skills

A skill your agent uses when the user is doing hands-on DOCA DPA host-side work on a BlueField — creating the docadpa Core context, loading a DPACC-compiled DPA app image (docadpaapp), creating DPA…

OfficialApache-2.0Auto-check passedDevelopment

Install Doca Dpa

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

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

GitHub CLI
$ gh skill install NVIDIA/skills doca-dpa --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-dpa .claude/skills/doca-dpa && 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-dpa
GitHub stars
3.5k
Token cost
~5k tokens
SKILL.md length
2,336 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 DPA host-side work on a BlueField — creating the docadpa Core context, loading a DPACC-compiled DPA app image (docadpaapp), creating DPA…

  • Works in 3 steps: Read this SKILL.md first to confirm the… → **For the DPA capability matrix, the… → **For step-by-step workflows —…
  • The user is doing hands-on DOCA DPA host-side work on a BlueField — creating the docadpa Core context
  • SKILL.md covers Example questions this skill…, Audience, When to load this skill and What this skill provides, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Doca Dpa 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 DPA host-side work on a BlueField — creating the docadpa Core context, loading a DPACC-compiled DPA app image (docadpaapp), creating DPA threads, launching kernels via docadpakernellaunchupdate, draining docadpacompletion, running docadpacap discovery, choosing between the DPA comm component (inter-DPA messaging) and the DPA verbs component (in-kernel RDMA), or debugging DOCAERROR from docadpa. Trigger even without "DOCA DPA" or "Data-Path Accelerator": "run…

Its SKILL.md is about 5k 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 whose generation exposes the DPA processor…

It sits in Development, covering Context engineering. 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 DPA host-side work on a BlueField — creating the docadpa Core context
  • Loading a DPACC-compiled DPA app image (docadpaapp)
  • Creating DPA threads
  • Launching kernels via docadpakernellaunchupdate

Example prompts

  • “DOCA DPA”
  • “Data-Path Accelerator”
  • “run compute on the DPA from my host”
  • “/doca-dpa”

Requirements

  • Python 3
  • 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 whose generation exposes the DPA processor to the host, plus the matching DPACC compiler at a version listed compatible by the DOCA Compatibility Policy. Reads `pkg-config --modversion doca-dpa` and the installed `dpacc` version, and inspects /opt/mellanox/doca/{lib,include,samples/doca_dpa,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 DPA capability matrix, the doca_dpa per-instance
  3. **For step-by-step workflows — configure, build, modify,

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

    Links to these hosts (documentation or services it may open):

    • 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 whose generation exposes the DPA processor to the host, plus the matching DPACC compiler at a version listed compatible by the DOCA Compatibility Policy. Reads `pkg-config --modversion doca-dpa` and the installed `dpacc` version, and inspects /opt/mellanox/doca/{lib,include,samples/doca_dpa,applications}.

    From compatibility in the SKILL.md frontmatter.

Context cost

Doca Dpa loads about 5k tokens when it runs. Until then it costs about 228 tokens; SKILL.md has 2,336 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~228
When it runs · the whole SKILL.md, loaded when a task matches
~5k

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). 2,336 words, ~4,998 tokens.

Download SKILL.mdSave it as .claude/skills/doca-dpa/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.
name
doca-dpa
description
Use this skill when the user is doing hands-on DOCA DPA host-side work on a BlueField — creating the `doca_dpa` Core context, loading a DPACC-compiled DPA app image (`doca_dpa_app`), creating DPA threads, launching kernels via `doca_dpa_kernel_launch_update_*`, draining `doca_dpa_completion`, running `doca_dpa_cap_*` discovery, choosing between the DPA comm component (inter-DPA messaging) and the DPA verbs component (in-kernel RDMA), or debugging `DOCA_ERROR_*` from `doca_dpa_*`. Trigger even without "DOCA DPA" or "Data-Path Accelerator": "run compute on the DPA from my host", "DPA kernel hangs, no completion", "DOCA_ERROR_DRIVER on launch", "DOCA/DPACC version skew", or "does this BlueField expose a DPA". Route elsewhere for DPA-side kernel programming itself, DPACC compiler internals, host↔DPU messaging (doca-comch), host-side RDMA (doca-rdma), and GPU-initiated networking (doca-gpunetio).
compatibility
Requires DOCA SDK installed at /opt/mellanox/doca on Linux (Ubuntu 22.04/24.04 or RHEL/SLES) with a BlueField DPU whose generation exposes the DPA processor to the host, plus the matching DPACC compiler at a version listed compatible by the DOCA Compatibility Policy. Reads `pkg-config --modversion doca-dpa` and the installed `dpacc` version, and inspects /opt/mellanox/doca/{lib,include,samples/doca_dpa,applications}.
license
Apache-2.0
metadata.kind
library

DOCA DPA

Where to start: This skill assumes DOCA is already installed, the user's BlueField has a DPA processor and the host can see it through DOCA, and the user is doing hands-on DPA work from the host side — i.e. using doca-dpa to load a DPA application image, launch DPA kernels, and exchange data with the DPA processor. 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 the host-side DPA API express on this version + this BlueField generation. If the user has not installed DOCA yet, route to doca-setup first; if the user is asking how to write the DPA-side kernel itself (the code that runs on the DPA processor, compiled by dpacc), that is a different scope — route via doca-public-knowledge-map to the public DOCA DPA / DPACC / DPA-Comms / DPA-Verbs guides (this skill does not redefine those DPA-side surfaces).

Example questions this skill answers well

The CLASSES of DPA 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 run a piece of compute on the DPA processor from my host program?" — worked example: "load a DPA kernel that counts events in a loop and reports the count back to the host". Answered by the two-side-program model + the host-side launch workflow in CAPABILITIES.md ## Capabilities and modes
  • "Does this BlueField even have a DPA, and which DPA features does my DOCA install expose?" — worked example: "my host has a BlueField; can I use the DPA on it for a programmable control workload?". Answered by the dual-axis capability rule (BlueField-generation axis via doca_dpa_cap_* against the active doca_devinfo plus the DOCA-install axis via pkg-config --modversion doca-dpa) in CAPABILITIES.md ## Capabilities and modes
  • "Why does my host-side DPA setup fail with DOCA_ERROR_NOT_SUPPORTED even though DOCA Core looks healthy?" — worked example: "the BlueField generation in this host predates the DPA feature my code uses". Answered by the env-precondition matrix in CAPABILITIES.md ## Safety policy
  • "How do I get arguments and results between my host program and my DPA kernel?" — worked example: "pass a buffer pointer and a length into the DPA kernel as launch arguments; read a completion back when the kernel finishes". Answered by the launch-argument + completion overlay in CAPABILITIES.md ## Capabilities and modes
  • "Is the DPA host-side API I'm reading about on my installed DOCA?" — worked example: "is the host-side launch helper I see in the docs available against the DOCA + DPACC versions on this host?". Answered by the version-compatibility overlay in CAPABILITIES.md ## Version compatibility which cross-links the canonical detection chain in doca-version and adds the DPA-specific DOCA must match DPACC overlay.
  • "What does this DOCA_ERROR_* from a doca_dpa_* call mean and which layer caused it?" — worked example: "DOCA_ERROR_DRIVER on a host-side launch call — is it DOCA, the DPACC-produced image, or the DPA processor itself?". Answered by the DPA overlay on the cross-library taxonomy in CAPABILITIES.md ## Error taxonomy
  • "How does my DPA kernel send a small message to another DPA thread on the same DPA processor?" — worked example: "two DPA threads in the same loaded doca_dpa_app; thread A sends a counter value to thread B over a DPA-side comms endpoint and thread B signals the host through doca_dpa_completion". Answered by the DPA-Comms routing rule, primitive families, host-side capability-budget rule, and DPA-Comms error overlay in CAPABILITIES.md ## comms plus the configure / build / modify / run / test / debug overlay in TASKS.md ## comms. Disambiguates the DPA device-side comm component from host-side doca-comch and host-side doca-rdma.
  • "How do I do RDMA directly from inside my DPA kernel to a remote peer, without round-tripping to the host?" — worked example: "my DPA kernel needs to fetch the next 4 KiB input buffer from a remote node via RDMA read before continuing compute; the host round-trip is the measured bottleneck". Answered by the 4-way RDMA matrix, the host-configures-QP / DPA-uses-QP coupling rule, the host-side cap-query rule for the specific verb, and the DPA-Verbs error overlay in CAPABILITIES.md ## verbs plus the workflow overlay in TASKS.md ## verbs. Includes the climb-back rule for when the latency-tuning premise stops holding.

Audience

This skill serves external developers building applications that consume the DOCA DPA library from the host side — i.e., users whose code calls doca_dpa_* from host C / C++ to stand up the per-DPA-instance context, load a DPA application image that dpacc produced from their DPA-side source, create one or more DPA threads, launch DPA kernels with arguments, and drain completions. It is not for NVIDIA developers contributing to DOCA DPA itself, nor is it the place to learn how to write the DPA-side kernel code (that path goes through the public DOCA DPA, DPACC, DPA-Comms, and DPA-Verbs guides via doca-public-knowledge-map).

Language scope. DOCA DPA ships as a host-side C library with pkg-config module name doca-dpa. The host-side API is C; the DPA-side kernel is a separate translation unit written in the language the DPACC compiler accepts and compiled by dpacc into a binary that the host packages into the executable as the DPA application image. The shipped samples under /opt/mellanox/doca/samples/doca_dpa/ are written in C plus DPA-side source (NVIDIA's choice). Other-language consumers are limited in practice — the DPA-side kernel has no FFI escape hatch because it must be a translation unit dpacc accepts — but a Rust / Go / Python host-side wrapper that drives doca_dpa_* setup and launches a DPA kernel image built separately is still useful, and the skill keeps the lifecycle, capability-discovery, env-precondition, and error-taxonomy guidance language-neutral.

When to load this skill

Load this skill when the user is doing hands-on DOCA DPA work from the host side, in any host language plus a DPA-side translation unit built by dpacc. Concretely:

  • Initializing a doca_dpa against a doca_dev that maps to a BlueField with a DPA processor visible to the host.
  • Loading a DPA application image (doca_dpa_app) that dpacc produced from the user's DPA-side source, into the doca_dpa context.
  • Creating one or more DPA execution contexts (doca_dpa_thread) so DPA kernels have somewhere to run on the DPA processor.
  • Launching a DPA kernel function with arguments from the host via the doca_dpa_kernel_launch_update_* family, and reasoning about which argument shape is supported on this install.
  • Attaching a doca_dpa_completion to observe when async DPA work finishes, and draining it from the host side.
  • Checking which DPA features are supported on the active doca_devinfo via the doca_dpa_cap_* family — BlueField generations differ in DPA hardware support.
  • Debugging a DOCA_ERROR_* returned from a doca_dpa_* call — in particular disambiguating DPA not present on this BlueField from DPA feature too new for this hardware generation from DPACC-produced image mismatched against the host-side DOCA install from DPA driver layer reporting failure.
  • Designing host-side bindings in a non-C language that drive a DPA application image they built separately with dpacc — the env-precondition and capability-discovery rules in this skill still apply.
  • Writing DPA-side kernel code that calls the DPA device-side comm component libdoca_dpa_dev_comm.a (header doca_dpa_dev_comch_msgq.h) — for inter-DPA-thread messaging or coordination signals between DPA threads on the same doca_dpa_app. The DPA-Comms routing rule, primitive families, capability rule (there is no per-primitive host cap-query family — host-side DPA discovery is only doca_dpa_cap_is_supported / doca_dpa_cap_get_max_kernel_time_alive_supported), error overlay (_AGAIN → kernel must yield; _BAD_STATE disambiguation from the parent's host-side _BAD_STATE), and the configure / build / modify / run / test / debug overlay live in CAPABILITIES.md ## comms and TASKS.md ## comms under this same skill.
  • Writing DPA-side kernel code that calls the DPA device-side verbs component libdoca_dpa_dev_verbs.a (header doca_dpa_dev_verbs.h) — for RDMA from inside the DPA kernel to a remote peer when the host round-trip is the measured latency bottleneck. The 4-way RDMA matrix, the host-configures-QP / DPA-uses-QP coupling rule, the capability rule (no per-verb host cap-query family exists; verb availability follows the BlueField generation + matched DOCA/DPACC install, read from doca_dpa_dev_verbs.h and the shipped sample), the IO_FAILED → CQE-inspection overlay, and the climb-back rule live in CAPABILITIES.md ## verbs and TASKS.md ## verbs under this same skill.

Do not load this skill for general DOCA orientation, install of DOCA or the DPACC compiler, the DPA-side programming model itself (how to write a DPA kernel; the DPA device-side comm and verbs components (libdoca_dpa_dev_comm.a / libdoca_dpa_dev_verbs.a) that run inside the DPA kernel), or non-DPA library questions. For those, route through doca-public-knowledge-map to the matching upstream guide.

Show full SKILL.md (941 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 DPA-specific material lives in two companion files:

  • CAPABILITIES.md — what the host-side DPA API can express on this version + this BlueField generation: the per-DPA-instance doca_dpa context, the loaded doca_dpa_app image produced by dpacc, the doca_dpa_thread execution context, the host-initiated kernel launch surface (doca_dpa_kernel_launch_update_*), the doca_dpa_completion mechanism, the capability-query surface (doca_dpa_cap_*), the DPA error taxonomy mapped onto the cross-library DOCA_ERROR_* set, the observability surface (host-side completions plus the public DPA developer tools surface reachable via doca-public-knowledge-map), and the safety policy that gates env preconditions (DPA-capable BlueField, matched DOCA + DPACC versions, DPA-side image and host-side expected entry points agree).
  • TASKS.md — step-by-step workflows for the six in-scope DPA 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 where DOCA is already installed at the standard location, a BlueField with a DPA processor is physically present and visible to the host, the DPACC compiler is installed at a version matched to the DOCA install per the DOCA Compatibility Policy, and the user already knows how (at least at a sketch level) to write the DPA-side kernel that dpacc will compile. It does not cover installing DOCA or the DPACC compiler — 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 DPA application source code or DPA-side kernel source, in any language. The verified DPA source is the shipped C + DPA-side samples at /opt/mellanox/doca/samples/doca_dpa/. 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 DPA-specific overrides in TASKS.md ## modify.
  • Standalone build manifests (meson.build, CMakeLists.txt, …) parked inside the skill. The agent constructs the build manifest in the user's project directory against the user's installed DOCA + DPACC compiler, where pkg-config --modversion doca-dpa and the installed dpacc are the two sources 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.
  • DPA device-side content for the comm / verbs components (libdoca_dpa_dev_comm.a / libdoca_dpa_dev_verbs.a). These are DPA-side archives shipped as part of doca-dpa (NOT separate pkg-config modules): their symbols are called from inside the DPA kernel and linked into the DPA image by dpacc, not from the host. Their public guides are reachable via doca-public-knowledge-map. This skill names them and routes; it does not redefine them.

Loading order

  1. Read this SKILL.md first to confirm the user's question is in scope (host-side DPA work, not DPA-side kernel-writing).
  2. For the DPA capability matrix, the doca_dpa per-instance context, the loaded doca_dpa_app image, the doca_dpa_thread execution context, the kernel-launch + completion model, the dual capability query, the env-precondition policy, the error taxonomy, the observability surface, and the safety policy, 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 DOCA version-handling rules (with the DPA overlay that DOCA must match the DPACC compiler), and doca-public-knowledge-map whenever the right answer is "look it up in the public DOCA DPA, DPACC, DPA-Comms, or DPA-Verbs guide, or in the on-disk install layout" rather than "DPA host-side-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 DPA public guide is at https://docs.nvidia.com/doca/sdk/DOCA-DPA/index.html; the DPACC compiler guide, the DPA-Comms guide (DPA-side communications), the DPA-Verbs guide (DPA-side verbs), and the DPA Tools umbrella (developer / admin CLIs for DPA) live in the same routing table and are companion surfaces to this skill rather than redefined by it.
  • doca-setup — env preparation, install verification, DPACC compiler install / verification, and the I have no install yet path with the public NGC DOCA container. This skill assumes its preconditions are satisfied AND that DPACC is installed at a version that matches DOCA.
  • doca-version — canonical DOCA version-handling rules. This skill's ## Version compatibility cross-links the four-way match rule and adds the DPA-specific DOCA-and-DPACC must match overlay per the DOCA Compatibility Policy.
  • 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 Core-context lifecycle, the cross-library DOCA_ERROR_* taxonomy, and the program-side debug order. This skill layers DPA specifics on top.
  • doca-debug — the cross-cutting debug ladder (install / version / build / link / runtime / program / driver). DPA-specific debug (DPACC + DOCA version skew, DPA not present on this BlueField generation, DPA kernel hangs that show no host-side completion, launch-argument shape mismatches between the host launch call and the DPA-side function signature) overlays on top of that ladder.

DOCA DPA's DPA device-side components — the comm archive libdoca_dpa_dev_comm.a (communication primitives the DPA kernel itself calls, header doca_dpa_dev_comch_msgq.h) and the verbs archive libdoca_dpa_dev_verbs.a (ibverbs-like RDMA verbs the DPA kernel itself calls, header doca_dpa_dev_verbs.h) — are DPA-side archives shipped within doca-dpa, not separate pkg-config modules, and each has its own public guide. No library skill ships for them in this bundle yet; for any DPA-side question, route via doca-public-knowledge-map to the public DOCA DPA Comms and DOCA DPA Verbs guides and to the shipped /opt/mellanox/doca/samples/doca_dpa/ samples (which include both host-side and DPA-side translation units). Conflating them with doca-dpa is the single most common DPA first-app design error.

© 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-dpa 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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Questions about Doca Dpa

What does Doca Dpa do?

A skill your agent uses when the user is doing hands-on DOCA DPA host-side work on a BlueField — creating the docadpa Core context, loading a DPACC-compiled DPA app image (docadpaapp), creating DPA…. Doca Dpa 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 DPA host-side work on a BlueField — creating the docadpa Core context, loading a DPACC-compiled DPA app image (docadpaapp), creating DPA threads, launching kernels via docadpakernellaunchupdate, draining docadpacompletion, running docadpacap discovery, choosing between the DPA comm component (inter-DPA messaging) and the DPA verbs component (in-kernel RDMA), or debugging DOCAERROR from docadpa.

When should I use Doca Dpa?

Doca Dpa fits situations like: the user is doing hands-on DOCA DPA host-side work on a BlueField — creating the docadpa Core context; loading a DPACC-compiled DPA app image (docadpaapp); creating DPA threads; launching kernels via docadpakernellaunchupdate.

How do I install Doca Dpa in Claude Code?

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

How do I install Doca Dpa in Codex?

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

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

What does Doca Dpa need to run?

SKILL.md names no scripts, command-line tools or credentials: Doca Dpa is instructions for the agent only. Our summary lists: Python 3. 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 whose generation exposes the DPA processor to the host, plus the matching DPACC compiler at a version listed compatible by the DOCA Compatibility Policy. Reads `pkg-config --modversion doca-dpa` and the installed `dpacc` version, and inspects /opt/mellanox/doca/{lib,include,samples/doca_dpa,applications}. .

Does Doca Dpa access the network?

SKILL.md names 1 domain. As links in the text: docs.nvidia.com. This is read from the text; nothing was executed.

Is Doca Dpa 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 Dpa use?

Doca Dpa 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 Dpa use?

About 5k tokens (SKILL.md is roughly 20k 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 Dpa?

Skills that share tags, products or a category with Doca Dpa: tilth Code Reading CLI (jahala/tilth, 352 stars), Bulletproof Workflow (artemiimillier/bulletproof, 153 stars), Ripwire Code Navigation (redhat-et/ripwire, 2.4k stars) and Gemini (davila7/claude-code-templates, 32k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Doca Dpa?

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.