Doca Sta
NVIDIAOfficialCreated by NVIDIA
- Skill
- Tool integration
- Software development
- Apache-2.0
- Medium risk
AutoGineer summary
Written by AutoGineer from the skill’s own files, not by the author
DOCA STA (Storage Target Acceleration) is a library for offloading NVMe-over-Fabrics (NVMe-oF) target-side data paths to NVIDIA BlueField DPUs. This skill provides the necessary context for developers to configure, manage, and debug NVMe-oF targets using the DOCA STA C ABI. It covers the lifecycle of target subsystems, namespace management, backend NVMe-PCI disk integration, and queue-sizing capabilities. The skill is designed to work alongside other DOCA libraries like DOCA Flow and DOCA RDMA, ensuring developers can correctly steer traffic and manage the underlying transport layers.
What it does
- Instantiates and configures doca_sta subsystems and namespaces.
- Maps local NVMe-PCI disks to target backends via doca_sta_be.
- Validates platform support and hardware capabilities for STA.
- Provides guidance on sizing I/O queues and managing queue depth.
- Decodes DOCA_ERROR_* status codes related to STA operations.
- Integrates with DOCA Flow for steering NVMe-oF traffic.
When to use it
- When building an NVMe-oF storage target on BlueField hardware.
- When configuring target-side subsystems and namespaces.
- When troubleshooting connection timeouts or I/O failures in an NVMe-oF target.
- When querying device capabilities for queue limits and supported features.
- When integrating STA with RDMA transport and flow steering rules.
Advantages
- Provides a clear boundary between STA target logic and initiator-side stacks.
- Offers structured guidance on error taxonomy and debugging.
- Ensures correct usage of DOCA capability-query functions.
- Clarifies the relationship between STA and supporting libraries like DOCA Flow.
- Focuses on the authoritative C ABI for cross-language binding development.
Usage examples
- “How do I define a doca_sta_subsystem with a local NVMe disk?”
- The agent will guide you through the target-model-and-lifecycle workflow, explaining how to instantiate the STA context, define the NQN, and attach a local NVMe-PCI disk backend.
- “My NVMe-oF target connections are timing out over RoCE, what should I check?”
- The agent will direct you to verify the RDMA substrate, check DOCA Flow steering rules, and validate that the device supports the requested queue configuration.
- “Does my BlueField DPU support 16 I/O queues at depth 1024?”
- The agent will instruct you to use doca_sta_get_max_io_queue_size and related queries to check the hardware limits against your specific DOCA version.
- “What does DOCA_ERROR_IO_FAILED mean during an NVMe read?”
- The agent will explain that this is typically a transport-level error and guide you to inspect the RDMA connection and link status rather than the STA application code.
Install
Download the skill as a ZIP:
https://mp-staging.autogineer.com/agent-skills/nvidia/doca-sta/downloadUnzip it into the cross-client skills folder of your project:
mkdir -p .agents/skills && unzip doca-sta.zip -d .agents/skills
Documentation by NVIDIA
DOCA STA (Storage Target Acceleration)
Examples
"Offload the nvmf target onto the DPU." — this is in scope. Stand up
doca_sta+ subsystem/namespaces; do not rewrite the initiator stack here."Identify Controller times out over RoCE." — check
doca_sta_cap_is_supportedand queue sizing before changing backend disks.
Instructions
Follow Loading order below. Open the tasks companion for configure / target / debug. Open the capabilities companion for queue limits and NVMe-oF caps. Do not open every companion file.
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 the tasks companion if
the user wants to do something (configure / modify / build / run
/ test / debug); open the capabilities companion when the
question is what can DOCA STA express on this version. If the
user has not installed DOCA yet, route to
doca-setup/SKILL.md 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
the capabilities companion.
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 the tasks companion + the capabilities companion 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_supportedagainst adoca_devinfo) in the capabilities companionthe discovery step in the tasks companion.
"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 the capabilities companion
the queue-sizing step in the tasks companion 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 the capabilities companion
the env-prep checklist in the tasks companion step 1, which routes the steering side to
doca-flow/SKILL.mdand the RDMA substrate todoca-rdma/SKILL.md.
"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 the capabilities companion, which cross-links the canonical detection chain in
doca-version/SKILL.mdand adds the STA-specific cap-query rule (pkg-config --modversion doca-stais the build-time anchor; the runtimedoca_sta_cap_is_supportedquery is the truth)."What does this
DOCA_ERROR_*from a STA call mean and which layer caused it?" — worked example: "DOCA_ERROR_NOT_PERMITTEDwhen opening thedoca_dev". Answered by the STA overlay on the cross-library taxonomy in the capabilities companionthe layered ladder in the tasks companion that escalates to
doca-debug/SKILL.md.
A Connect handshake that never completes is usually not an STA bug. It is the single most common first-app failure, and the answer is to walk the three preconditions in the capabilities companion before any code change: the RDMA substrate resolves on the chosen device, the
doca_devwas opened with sufficient permission, and — most often the culprit — a DOCA Flow rule actually steers the matching NVMe-oF 5-tuples to this instance's queues. The steering side belongs todoca-flow/SKILL.md; route it rather than inventing adoca_sta_*steering call, and do not start by auditing STA lifecycle or target-side code. The same applies to an Identify Controller that times out over RoCE.
DOCA_ERROR_IO_FAILEDon a per-I/O completion is a transport error, not a target-side STA bug — a link drop, RDMA peer disconnect, firmware fault, or peer controller reset. Being able to ping the target does not exclude any of these. Do not retry blindly and do not change STA code first: capturedmesgand route todoca-rdma/SKILL.md, per the tasks companion.
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 — the public packages install no
samples/doca_sta/ directory — so the worked examples in
the tasks companion 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_stainstance on adoca_devopened against a BlueField PF / SF and configuring the NVMe-oF target subsystems beforedoca_ctx_start().Defining target resources —
doca_sta_subsystem(NQN + namespaces) anddoca_sta_bebackend 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 viadoca_sta_cap_is_supported, and querying sizing limits via thedoca_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-rdmasubstrate 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, notdoca-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/SKILL.md), raw packet I/O on
Ethernet queues (use doca-eth/SKILL.md),
flow-rule programming (use doca-flow/SKILL.md),
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/SKILL.md.
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:
the capabilities companion — what DOCA STA can express on this version: the target object model (
doca_sta_subsystem/ namespaces /doca_sta_bebackend 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_supportedplus thedoca_sta_get_max_*sizing queries), the STA error taxonomy (mapped onto the cross-libraryDOCA_ERROR_*set), the observability surface (per-queue progress engine events, capability snapshots), and the safety policy that gates substrate-library, permission, and steering preconditions.the tasks companion — step-by-step workflows for the six in-scope STA verbs:
configure,modify,build,run,test,debug. Plus aDeferred task verbsblock that points out-of-scope questions at the right next skill, and aCommand appendixof 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/SKILL.md. 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. 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 the tasks companion workflow.Initiator/host-side NVMe stack glue. SPDK
bdev_nvme, the kernelnvmehost, 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, wherepkg-config --modversion doca-stais the source of truth.A
samples/,bindings/, orreference/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
Read this skill first to confirm the user's question is in scope.
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 the capabilities companion.
For step-by-step workflows — configure, modify, build, run, test, debug — see the tasks companion.
Both companion files cross-link to each other,
doca-version/SKILL.md for the canonical
version-handling rules,
doca-rdma/SKILL.md for the RDMA substrate
that NVMe-over-RDMA transport lands on,
doca-flow/SKILL.md for the steering rules
that direct NVMe traffic to STA-managed queues, and
doca-public-knowledge-map/SKILL.md
whenever the right answer is "look it up in the public docs or
the installed package layout" rather than "STA-specific
guidance".
Related skills
doca-public-knowledge-map/SKILL.md— the routing table for every public DOCA documentation source and the on-disk layout of an installed DOCA package. The STA URL slug isDOCA-STA.doca-setup/SKILL.md— env preparation, install verification, BlueField mode checks, and the permission / group-membership requirements for opening adoca_dev. This skill assumes its preconditions are satisfied.doca-version/SKILL.md— canonical DOCA version-handling rules. This skill's## Version compatibilitycross-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/SKILL.md— the bundle's structured-tools precedence rule (detect / prefer / fall back / report). The Command appendix in the tasks companion honors this contract.doca-programming-guide/SKILL.md— general DOCA programming patterns shared by every library: the canonicalpkg-config+ meson build pattern, the universal modify-a-shipped-sample first-app workflow, the universal lifecycle, the cross-libraryDOCA_ERROR_*taxonomy, and the program-side debug order. This skill layers STA specifics on top.doca-rdma/SKILL.md— 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 needsdoca-rdmalinked in and the device's RDMA capabilities discoverable for the NVMe-over-RDMA path to work.doca-eth/SKILL.md— 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/SKILL.md— 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/SKILL.md— 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.
Files
- ATTRIBUTION.mdAdded by AutoGineer882 B
- BENCHMARK.md10.1 KiB
- CAPABILITIES.md20.3 KiB
- LICENSELicence file added by AutoGineer11.2 KiB
- SKILL.md15.8 KiB
- SKILLCARD.yaml2.7 KiB
- TASKS.md35.2 KiB
- evals/evals.json3.2 KiB
- skill-card.md5.1 KiB
- skill.oms.sig5.1 KiB
Requirements and compatibility
Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta
“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.
The author says: 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}. The validation steps require a live DOCA install.
Security
What our scanner noticed· Medium risk
- Large base64-encoded blobs
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Attribution and licence
- Created by
- NVIDIA
- Publisher
- NVIDIA (Official)
- Source
- NVIDIA/skills · skills/doca-sta · commit fce3cca
- Licence
- Apache License 2.0 (redistribution allowed)
- LICENSE (added by AutoGineer from LICENSE-APACHE)
- ATTRIBUTION.md (written by AutoGineer)
- Synced
AutoGineer is not affiliated with or endorsed by NVIDIA.
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