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doca-sta

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…

Install / Use

npx skills add NVIDIA/skills --skill doca-sta

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

88/100

Supported Platforms

Universal

Tags

Our assessment of doca-sta

doca-sta scores 88/100 on our quality scale, 100th of 225 Customer Support skills we index (top 45%).

Its SKILL.md is 15 KB long, well organised into 8 sections and no code examples: a thorough specification that gives an agent plenty to work with.

With 3,421 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
30/30
Structure
13/20
Description
15/15
Adoption
15/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 5 days ago, so doca-sta is actively maintained.
  • It is released under the Apache-2.0 license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

doca-sta compared with similar skills

All 4 of these similar skills score higher than doca-sta; compare them before choosing.

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doca-sta (this skill)by NVIDIA883.4k5d agoSKILL.md
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pptxby anthropics100177.9k6d agoSKILL.md
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Frequently asked questions

How do I install doca-sta?
Run npx skills add NVIDIA/skills --skill doca-sta. The install tabs above show the steps for each supported agent.
Which AI agents does doca-sta work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is doca-sta safe to use?
It is Apache-2.0-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is doca-sta still maintained?
The repository was last updated 5 days ago, so doca-sta is actively maintained.

license: Apache-2.0 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. metadata: kind: library 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}.

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.

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 insta

Truncated for display — read the full file on GitHub.

Related Skills

View on GitHub
GitHub Stars3.4k
CategoryCustomer
Updated5d ago
Forks412

Languages

Python

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions