Official agent skill

Doca Sta

by NVIDIA in NVIDIA/skills

A skill your agent uses when the user is doing hands-on NVMe-over-Fabrics storage-target work on a BlueField DPU or ConnectX NIC with DOCA STA — standing up a docasta DOCA Core context that…

OfficialApache-2.0Auto-check passedDevelopment

Install Doca Sta

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

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

GitHub CLI
$ gh skill install NVIDIA/skills doca-sta --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-sta .claude/skills/doca-sta && 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-sta
GitHub stars
3.5k
Token cost
~4k tokens
SKILL.md length
1,742 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 NVMe-over-Fabrics storage-target work on a BlueField DPU or ConnectX NIC with DOCA STA — standing up a docasta DOCA Core context that…

  • Works in 3 steps: Read this SKILL.md first to confirm the… → **For the STA capability matrix, the… → **For step-by-step workflows —…
  • The user is doing hands-on NVMe-over-Fabrics storage-target work on a BlueField DPU
  • 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 Sta 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 NVMe-over-Fabrics storage-target work on a BlueField DPU or ConnectX NIC with DOCA STA — standing up a docasta DOCA Core context that accelerates the target-side NVMe-oF data path over RDMA, defining docastasubsystem targets (NQN + namespaces) backed by local NVMe-PCI backend disks (docastabe), checking device support via docastacapissupported, sizing the per-connection I/O queues, or debugging DOCAERROR from a STA call. Trigger even when the user does not say "DOCA…

Its SKILL.md is about 4k 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 NVMe-over-Fabrics storage-target work on a BlueField DPU
  • ConnectX NIC with DOCA STA — standing up a docasta DOCA Core context that accelerates the target-side NVMe-oF data path over RDMA
  • Defining docastasubsystem targets (NQN + namespaces) backed by local NVMe-PCI backend disks (docastabe)
  • Checking device support via docastacapissupported

Example prompts

  • “DOCA STA”
  • “my NVMe-oF Connect never completes”
  • “Identify Controller times out over RoCE”
  • “/doca-sta”

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-sta` (and `pkg-config doca-rdma` for the NVMe-over-RDMA transport) 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
  2. **For the STA capability matrix, the target object model,
  3. **For step-by-step workflows — configure, modify, 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. Reads the user's local install via `pkg-config doca-sta` (and `pkg-config doca-rdma` for the NVMe-over-RDMA transport) and inspects /opt/mellanox/doca/{lib,include,samples,applications}.

    From compatibility in the SKILL.md frontmatter.

Context cost

Doca Sta loads about 4k tokens when it runs. Until then it costs about 248 tokens; SKILL.md has 1,742 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~248
When it runs · the whole SKILL.md, loaded when a task matches
~4k

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). 1,742 words, ~3,955 tokens.

Download SKILL.mdSave it as .claude/skills/doca-sta/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.
name
doca-sta
description
Use this skill when the user is doing hands-on NVMe-over-Fabrics storage-target work on a BlueField DPU or ConnectX NIC with DOCA STA — standing up a doca_sta DOCA Core context that accelerates the target-side NVMe-oF data path over RDMA, defining doca_sta_subsystem targets (NQN + namespaces) backed by local NVMe-PCI backend disks (doca_sta_be), checking device support via doca_sta_cap_is_supported, sizing the per-connection I/O queues, or debugging DOCA_ERROR_* from a STA call. Trigger even when the user does not say "DOCA STA" — typical implicit phrasings include "my NVMe-oF Connect never completes", "Identify Controller times out over RoCE", "16 I/O queues at depth 1024 — does this BlueField support that", "offload the nvmf target onto the DPU", or "DOCA_ERROR_IO_FAILED on an NVMe read". Refuse and route elsewhere for DOCA install, raw RDMA data movement, raw packet I/O, flow-rule programming, or initiator-side / host NVMe stack work — 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-sta` (and `pkg-config doca-rdma` for the NVMe-over-RDMA transport) and inspects /opt/mellanox/doca/{lib,include,samples,applications}.
license
Apache-2.0
metadata.kind
library

DOCA STA (Storage Target Acceleration)

Where to start: This skill assumes DOCA is already installed and the user is doing hands-on NVMe-over-Fabrics storage-target work on a BlueField-class device with DOCA. Open TASKS.md if the user wants to do something (configure / modify / build / run / test / debug); open CAPABILITIES.md when the question is what can DOCA STA express on this version. If the user has not installed DOCA yet, route to doca-setup first. If the user is asking "is this an NVMe-oF initiator/host transport?", the answer is no — doca-sta accelerates the target side: it presents NVMe-oF doca_sta_subsystem targets backed by local NVMe-PCI disks; the model lives in CAPABILITIES.md ## Capabilities and modes.

Example questions this skill answers well

The CLASSES of DOCA STA 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 an NVMe-oF target that uses the BlueField to accelerate the storage data path?" — worked example: "define a doca_sta_subsystem (NQN) with one namespace backed by a local NVMe-PCI disk (doca_sta_be) and accept NVMe-over-RDMA connections from a remote initiator". Answered by the target-model-and-lifecycle workflow in TASKS.md ## configure + CAPABILITIES.md ## Capabilities and modes target-object table.
  • "Can this BlueField accelerate an NVMe-oF target at all?" — worked example: "my data center is RoCE end-to-end; does this device support DOCA STA target acceleration?". STA transport is RDMA-only (there is no NVMe-over-TCP path). Answered by the capability-query rule (doca_sta_cap_is_supported against a doca_devinfo) in CAPABILITIES.md ## Capabilities and modes
  • "How deep can I size my I/O queues, and how many I/O queues per connection?" — worked example: "I want 16 I/O queues at depth 1024 each — does this device support that?". Answered by the queue-sizing capability surface in CAPABILITIES.md ## Capabilities and modes
    • the queue-sizing step in TASKS.md ## configure which gates on the matching doca_sta_get_max_* query (e.g. doca_sta_get_max_qps, doca_sta_get_max_io_queue_size).
  • "Which other DOCA libraries do I need alongside doca-sta?" — worked example: "do I need doca-rdma directly, or does doca-sta hide it from me?". Answered by the substrate-library rule in CAPABILITIES.md ## Safety policy
  • "Is this STA capability available on my installed DOCA?" — worked example: "is STA target acceleration supported on this BlueField + DOCA version?". Answered by the version-and-device overlay in CAPABILITIES.md ## Version compatibility, which cross-links the canonical detection chain in doca-version and adds the STA-specific cap-query rule (pkg-config --modversion doca-sta is the build-time anchor; the runtime doca_sta_cap_is_supported query is the truth).
  • "What does this DOCA_ERROR_* from a STA call mean and which layer caused it?" — worked example: "DOCA_ERROR_IO_FAILED on a submitted NVMe read I/O against a target I can ping". Answered by the STA overlay on the cross-library taxonomy in CAPABILITIES.md ## Error taxonomy

Audience

This skill serves external developers building NVMe-over-Fabrics storage targets that consume DOCA STA on BlueField — i.e., users whose code calls doca_sta_* (directly in C/C++, or through FFI/bindings from another language) to accelerate the target-side data path of an NVMe-oF target on the BlueField hardware: presenting doca_sta_subsystem targets (NQN + namespaces) backed by local NVMe-PCI disks (doca_sta_be) to remote initiators over RDMA. The skill is not for NVIDIA developers contributing to DOCA STA itself, and it is not for initiator/host-side NVMe stacks.

Language scope. DOCA STA ships as a C library with pkg-config module name doca-sta. DOCA STA ships no public samples — it is absent from the DOCA libraries / extension_libraries sample profiles — so the worked examples in TASKS.md build against the public headers directly rather than modify a shipped sample. C and C++ consumers are the canonical case. 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 target-model, lifecycle, capability-discovery, queue-pair shape, substrate-dependency, and error-taxonomy 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 STA work, in any language. Concretely:

  • Initializing a doca_sta instance on a doca_dev opened against a BlueField PF / SF and configuring the NVMe-oF target subsystems before doca_ctx_start().
  • Defining target resources — doca_sta_subsystem (NQN + namespaces) and doca_sta_be backend controllers (local NVMe-PCI disks) — and accepting NVMe-oF connections (admin queue plus N I/O queues per connection) on the target side as remote initiators connect over RDMA CM.
  • Reading or setting STA properties via the doca_sta_set_* family, checking device support via doca_sta_cap_is_supported, and querying sizing limits via the doca_sta_get_max_* family (max I/O queue depth, max number of queue pairs, max I/O size, max subsystems, max namespaces per subsystem, max backends).
  • Wiring the NVMe-over-RDMA transport — STA's only transport; it lands on the doca-rdma substrate and uses RDMA CM for connection establishment — for the target's I/O queues.
  • Wiring DOCA Flow rules so that NVMe-oF traffic actually reaches the STA-managed queues — the steering boundary is doca-flow, not doca-sta.
  • Debugging a DOCA_ERROR_* returned from a STA call (lifecycle vs. capability vs. transport-layer I/O failure vs. driver-below) and the per-queue events on the DOCA Core progress engine.
  • Designing or extending non-C bindings (Rust, Go, Python, …) that wrap the DOCA STA C ABI — for the lifecycle, queue-pair, cap-query, and substrate-dependency rules the wrapper must honor.

Do not load this skill for general DOCA orientation, install of DOCA itself, raw RDMA data movement (use doca-rdma), raw packet I/O on Ethernet queues (use doca-eth), flow-rule programming (use doca-flow), or initiator/host-side NVMe stack development (SPDK or kernel-nvme own that, not this skill). For DOCA documentation orientation, use doca-public-knowledge-map.

Show full SKILL.md (802 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 STA-specific material lives in two companion files:

  • CAPABILITIES.md — what DOCA STA can express on this version: the target object model (doca_sta_subsystem / namespaces / doca_sta_be backend NVMe-PCI disks), the NVMe queue-pair shape (admin queue + I/O queues over RDMA), the RDMA-only transport, the capability-query surface (doca_sta_cap_is_supported plus the doca_sta_get_max_* sizing queries), the STA error taxonomy (mapped onto the cross-library DOCA_ERROR_* set), the observability surface (per-queue progress engine events, capability snapshots), and the safety policy that gates substrate-library, permission, and steering preconditions.
  • TASKS.md — step-by-step workflows for the six in-scope STA verbs: configure, modify, build, run, test, debug. Plus a Deferred task verbs block that points out-of-scope questions at the right next skill, and a Command appendix of the recurring commands the agent reaches for.

The skill assumes a BlueField (with DOCA installed at the standard location) plus a remote NVMe-oF initiator reachable on the fabric to connect into the accelerated target, and one or more local NVMe-PCI disks to back the target's namespaces. It does not cover installing DOCA — that path goes through doca-setup. It does not cover initiator/host-side NVMe stacks (SPDK bdev_nvme, kernel nvme host) or NVMe protocol semantics above the accelerated target data path — those are out of scope.

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 STA application source code, in any language. DOCA STA ships no public samples — there is no /opt/mellanox/doca/samples/doca_sta/ directory, and STA is absent from the libraries / extension_libraries sample profiles. The authoritative surface is the public headers under $(pkg-config --variable=includedir doca-common) plus the public DOCA STA guide; the agent builds against those directly rather than modifying a shipped sample, per the TASKS.md ## modify workflow.
  • Initiator/host-side NVMe stack glue. SPDK bdev_nvme, the kernel nvme host, and any initiator-side NVMe stack are upstream projects out of scope for this skill — DOCA STA is target-side acceleration, not an initiator transport provider.
  • 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-sta 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 STA capability matrix, the target object model, queue-pair shape, RDMA-only transport, capability-query rules, error taxonomy, observability, and safety policy, see CAPABILITIES.md.
  3. For step-by-step workflows — configure, modify, build, run, test, debug — see TASKS.md.

Both companion files cross-link to each other, doca-version for the canonical version-handling rules, doca-rdma for the RDMA substrate that NVMe-over-RDMA transport lands on, doca-flow for the steering rules that direct NVMe traffic to STA-managed queues, and doca-public-knowledge-map whenever the right answer is "look it up in the public docs or the installed package layout" rather than "STA-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 STA URL slug is DOCA-STA.
  • doca-setup — env preparation, install verification, BlueField mode checks, and the permission / group-membership requirements for opening a doca_dev. 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 and adds only the STA-specific overlay (STA target-acceleration availability windows, NVMe-oF feature-set device-conditional support).
  • 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 STA specifics on top.
  • doca-rdma — the RDMA substrate that NVMe-over-RDMA transport lands on. STA hides most of the RDMA queue-pair details from the consumer, but the user still needs doca-rdma linked in and the device's RDMA capabilities discoverable for the NVMe-over-RDMA path to work.
  • doca-eth — the queue-pair shape that STA's per-connection queue model echoes. Reach here if the user is asking general questions about how DOCA exposes queue-pairs that don't have an STA-specific answer.
  • doca-flow — the steering surface that decides which NVMe-oF packets land on which STA-managed queue. DOCA STA does not program steering itself; an NVMe-oF target whose connections never come up is often a missing or wrong Flow rule, not a STA bug.
  • doca-debug — the cross-cutting debug ladder (install / version / build / link / runtime / program / driver). STA-specific debug (transport-type mismatches, queue-depth oversize, IO-failed transport errors) 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-sta 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 Sta

What does Doca Sta do?

A skill your agent uses when the user is doing hands-on NVMe-over-Fabrics storage-target work on a BlueField DPU or ConnectX NIC with DOCA STA — standing up a docasta DOCA Core context that…. Doca Sta 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 NVMe-over-Fabrics storage-target work on a BlueField DPU or ConnectX NIC with DOCA STA — standing up a docasta DOCA Core context that accelerates the target-side NVMe-oF data path over RDMA, defining docastasubsystem targets (NQN + namespaces) backed by local NVMe-PCI backend disks (docastabe), checking device support via docastacapissupported, sizing the per-connection I/O queues, or debugging DOCAERROR from a STA call.

When should I use Doca Sta?

Doca Sta fits situations like: the user is doing hands-on NVMe-over-Fabrics storage-target work on a BlueField DPU; connectX NIC with DOCA STA — standing up a docasta DOCA Core context that accelerates the target-side NVMe-oF data path over RDMA; defining docastasubsystem targets (NQN + namespaces) backed by local NVMe-PCI backend disks (docastabe); checking device support via docastacapissupported.

How do I install Doca Sta in Claude Code?

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

How do I install Doca Sta in Codex?

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

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

What does Doca Sta need to run?

SKILL.md names no scripts, command-line tools or credentials: Doca Sta 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-sta` (and `pkg-config doca-rdma` for the NVMe-over-RDMA transport) and inspects /opt/mellanox/doca/{lib,include,samples,applications}. .

Does Doca Sta 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 Sta 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 Sta use?

Doca Sta 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 Sta use?

About 4k tokens (SKILL.md is roughly 16k 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 Sta?

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

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.