
Skill
doca-sta
configure NVMe-over-Fabrics storage targets with DOCA
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.
SKILL.md
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 / build / modify / 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 inTASKS.md ## configure+CAPABILITIES.md ## Capabilities and modestarget-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) inCAPABILITIES.md ## Capabilities and modes- the discovery step in
TASKS.md ## configure.
- the discovery step in
- "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 ## configurewhich gates on the matchingdoca_sta_get_max_*query (e.g.doca_sta_get_max_qps,doca_sta_get_max_io_queue_size).
- the queue-sizing step in
- "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- the env-prep checklist in
TASKS.md ## configurestep 1, which routes the steering side todoca-flowand the RDMA substrate todoca-rdma.
- the env-prep checklist in
- "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 indoca-versionand 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_IO_FAILEDon a submitted NVMe read I/O against a target I can ping". Answered by the STA overlay on the cross-library taxonomy inCAPABILITIES.md ## Error taxonomy- the layered ladder in
TASKS.md ## debugthat escalates todoca-debug.
- the layered ladder in
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_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), 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_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.TASKS.md— step-by-step workflows for the six in-scope STA verbs:configure,build,modify,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. 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 theTASKS.md ## modifyworkflow. - 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.mdfirst 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 CAPABILITIES.md.
- 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,
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".
Related skills
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 isDOCA-STA.doca-setup— 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— 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— 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 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— 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— 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.
More skills from the skills repository
View all 305 skillsaccelerated-computing-cudf
accelerate data processing with cuDF
Jul 14Data AnalysisData EngineeringNVIDIAPerformanceaiq-deploy
deploy and manage NVIDIA AI-Q infrastructure
Jul 14DeploymentInfrastructureNVIDIAaiq-research
conduct deep research with AI-Q
Jul 14AgentsNVIDIAResearchamc-run-sample-calibration
run AMC sample dataset calibration
Jul 17Data AnalysisNVIDIATestingamc-run-video-calibration
calibrate video datasets with AutoMagicCalib
Jul 17AutomationImagingNVIDIAVideoamc-setup-calibration-stack
deploy AutoMagicCalib microservice with Docker
Jul 17DeploymentDockerNVIDIAOperations
More from NVIDIA
View publishernemoclaw-user-guide
retrieve NemoClaw documentation and configuration
NemoClaw
Jul 20DocumentationMCPSearchmcore-build-and-dependency
manage Megatron-LM development environments
Megatron-LM
Jul 14ContainersDeploymentPythonmcore-bump-base-image
update NVIDIA PyTorch base images
Megatron-LM
Jul 14CI/CDDeploymentmcore-cicd
manage CI/CD pipelines for Megatron-LM
Megatron-LM
Jul 14CI/CDDeploymentGitHubmcore-create-issue
investigate CI failures and create issues
Megatron-LM
Jul 14DebuggingGitHubTriagemcore-linting-and-formatting
lint and format Megatron-LM code
Megatron-LM
Jul 14Best PracticesCode Analysis