nvidia/doca-dms
> Operate NVIDIA DOCA Management Service (`dmsd` + `dmspe`) on a authentication, configure `-allowed_users` and `dmsgroup`, use gNMI Get/Set/Subscribe, run supported gNOI workflows, and debug frontend/backend failures. Trigger even without "DMS" for "manage a remote BlueField over gRPC", "gNOI reboot from orchestrator", or fleet-management requests. are destructive and require target-bound explicit confirmation; never invoke them speculatively. Route installation and library/API build questions elsewhere, and route turnkey aggregation to the externally-productized DOCA Telemetry Service.
npx skills add https://github.com/NVIDIA/skills --skill doca-dms
> ⚠️ Destructive operations. The gNOI reboot, OS install,
> factory-reset, and managed-file deletion operations are
> irreversible and service-impacting
> — they can take a production BlueField or ConnectX offline or wipe its
> configuration. Before issuing any of them the agent MUST: (1) verify the
> target device identity, and (2) obtain explicit confirmation bound to
> that target and action. In an interactive session this is an explicit
> user reply naming/accepting both; in unattended execution it must be an
> approved-system authorization artifact bound to both. Otherwise stop
> with confirmation_required. Never invoke them speculatively or as
> a side effect of another task. See the public DMS guide's safety
> guidance for these operations.
Where to start: This skill is for *operating* DMS, not for
*linking against* a library. If the user wants to *deploy* or *run*
the daemon, open TASKS.md and start at
## configure. If the question is *what shape
of service is DMS and what protocols does it speak*, start at
CAPABILITIES.md. If DOCA is not installed on the
management endpoint yet, route to
doca-setup first.
The CLASSES of DMS questions this skill is built to answer, each with
one worked example. The class is the load-bearing piece; the worked
example is one instance.
*"I have a host without a DPU; can I still manage a remote
ConnectX?"*. Answered by the deployment-shape decision in
CAPABILITIES.md ## Capabilities and modes
+ TASKS.md ## configure.
posture?"** — worked example: *"a multi-tenant production env vs a
single-tenant lab"*. Answered by the auth-mode trade-off table in
CAPABILITIES.md ## Safety policy
+ the auth-wiring step in
TASKS.md ## configure.
Get / Set against a modeled path?" —worked example: *"set /interfaces/interface/config/mtu on a remote
interface"*. Answered by the gNMI/gNOI surface in
CAPABILITIES.md ## Capabilities and modes
+ the request-shape workflow in
TASKS.md ## run.
transfer)?"** — worked example: *"trigger a clean reboot of the
target via gNOI"*. Answered by the gNOI catalog in
CAPABILITIES.md ## Capabilities and modes
+ the run workflow in TASKS.md ## run.
backend?"** — worked example: *"mlxconfig failed under DMS but
works on the shell"*. Answered by the frontend-vs-backend split in
CAPABILITIES.md ## Error taxonomy
+ the layered ladder in
TASKS.md ## debug.
example: *"persistent log directory + journald + log-rotation
policy"*. Answered by the logging surface in
CAPABILITIES.md ## Observability
+ the log-rotation step in
TASKS.md ## configure.
This skill serves **external operators and platform teams who deploy and
operate DMS** to manage NVIDIA® BlueField® networking platforms or
NVIDIA® ConnectX® SmartNICs from a centralized control plane. Concretely:
people running dmsd, integrating gNMI/gNOI clients against it, choosing
an authentication mode, or wiring DMS into a Kubernetes deployment.
It is not for NVIDIA developers contributing to DMS itself, and it
is not a programming guide for *building applications on top of*
DOCA libraries (that is doca-programming-guide plus the matching
library skill under libs/). DMS is a service, not a library: the
user invokes it as a daemon and talks to it over gRPC; they do not link
against libdms.so to write their own program.
Status note. Per the public DMS guide, DMS is currently in beta,
with General Availability scoped to SPC-X use cases. The skill reflects
the public guide's posture: prescribe the documented launch / auth /
deployment paths, follow the documented security best practices, and
defer roadmap and GA-scope questions to the live public guide rather
than guessing.
Load this skill when the user is doing hands-on DMS operation work
against a BlueField or ConnectX target where DOCA is already installed
on the management endpoint (host, DPU, or pod). Concretely:
Kubernetes pod) for a given target topology.
dmsd daemon — choosing SystemD vs manual launch,selecting an authentication mode, wiring -allowed_users (the gRPC
client authorization boundary) and, if needed, dmsgroup (the
dmspe backend-helper Unix group).
gNMI Get / Set requests against modeled paths(e.g. /interfaces/interface/config/mtu).
gNOI operations: OS install, reboot, file transfer,factory-reset, mlxconfig, containerz.
and understanding the security trade-offs the public guide calls out.
recovering from a crashed daemon.
"frontend rejected before reaching backend" from "backend executed and
the underlying tool (e.g. mlxconfig) failed".
Do not load this skill for general DOCA orientation, install of
DOCA itself, or library-API questions. For those, route via
doca-public-knowledge-map,
doca-setup, or the matching
libs/<library> skill.
This is a thin loader. Substantive material lives in two companion
files:
CAPABILITIES.md — DMS architecture (frontend dmsd / privilegedbackend dmspe), management protocols (gNMI, gNOI), the YANG-based
unified configuration dictionary, deployment shapes, authentication
modes with their security trade-offs, the configuration-persistency
model, the logging surface, and DMS's documented security posture.
TASKS.md — step-by-step workflows for the in-scope DMS verbs:configure, build, modify, run, test, debug, plus a
Deferred task verbs block routing out-of-scope questions.
The skill assumes a host where DOCA is already installed and the
operator has root / sudo access where the public guide says it is
required. It does not cover installing DOCA — that path goes through
doca-setup.
This skill is agent guidance, not a templates or sample-config
bundle. To keep the boundary clean, it deliberately does not contain —
and pull requests should not add:
full-stack example configs, ready-to-run dmsd flag bundles)
intended to be copy-pasted into production. Configs are deployment-
specific and the safe answer for an external operator is to derive
them from the public guide against their own target. The agent's
job is to prescribe the *procedure* and quote the documented flags
and paths, not to ship a config the user might run unmodified.
client surface is standard gNMI / gNOI (publicly documented); the
skill describes which paths and operations DMS supports, not how to
build a gRPC client in language X.
user-environment artifacts; the skill points at the documented
configuration knobs and the documented security best practices and
stops there.
samples/, templates/, or reference/ subtree of anykind. A mock or incomplete artifact in this skill's tree, even one
labeled "reference", is misleading: operators will read it as
production-ready.
SKILL.md first to confirm the user's question is in scope.protocol/path inventory, persistency, logging, and security
posture, see CAPABILITIES.md.**
debug — see TASKS.md.**
gNOI OS install, reboot, factory reset, or managed-file deletion —
including a test or debug action — verify the exact target and obtain explicit
confirmation for that specific operation using the interactive or
approved-system mechanism defined in the warning above. No earlier
confirmation or workflow phase carries authorization forward.
doca-public-knowledge-map— the routing table to the public DMS guide and the rest of the
public DOCA documentation set.
doca-setup — env preparation andinstall verification on the host where dmsd will run, including
the *I have no install yet* path via the public NGC DOCA container.
This skill assumes its preconditions are satisfied at the management
endpoint.
doca-programming-guide —general DOCA patterns. DMS is service-shaped not library-shaped, so
the build / modify / first-app pattern there does not apply directly,
but the cross-library DOCA_ERROR_* taxonomy and the
layered-debug order remain useful when DMS reports errors that
originated in a DOCA library it called.
Take nvidia/doca-dms from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.