Doca Dms logo

Doca Dms

OrganizationPopular
NVIDIA
doca-dms

Operate NVIDIA DOCA Management Service (`dmsd` + `dmspe`) on a BlueField, Arm/x86 host, or Kubernetes pod: choose deployment and 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. SAFETY: reboot, OS install, factory-reset, and managed-file deletion 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.

Overview

PublisherNVIDIA
Repositoryskills
Skill namedoca-dms
Stars
3.5K
Forks
425
Bundled files
7
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 7 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by NVIDIA on GitHub. Read the source before you install it.

Installation

Install the Doca Dms AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/NVIDIA/skills/tree/main/skills/doca-dms
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/NVIDIA/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/doca-dms .claude/skills/doca-dms
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Doca Dms in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Doca Dms on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Doca Dms is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

DOCA Management Service (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.

Example questions this skill answers well

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.

Audience

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.

When to load this skill

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:

  • Deciding where DMS should run (host non-DPU / BlueField Arm / Kubernetes pod) for a given target topology.
  • Bringing up the 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).
  • Issuing gNMI Get / Set requests against modeled paths (e.g. /interfaces/interface/config/mtu).
  • Issuing gNOI operations: OS install, reboot, file transfer, factory-reset, mlxconfig, containerz.
  • Choosing an authentication mode (localhost / PAM / credentials / mTLS) and understanding the security trade-offs the public guide calls out.
  • Reading or rotating DMS logs, configuring config persistency, or recovering from a crashed daemon.
  • Debugging a DMS request that returned an error — separating "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.

What this skill provides

This is a thin loader. Substantive material lives in two companion files:

  • CAPABILITIES.md — DMS architecture (frontend dmsd / privileged backend 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.

What this skill deliberately does not ship

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:

  • Pre-baked DMS configuration files (YANG instance documents, 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.
  • Pre-written gNMI / gNOI client programs in any language. The 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.
  • TLS material, credentials, or PAM stanzas. These are user-environment artifacts; the skill points at the documented configuration knobs and the documented security best practices and stops there.
  • A samples/, templates/, or reference/ subtree of any kind. A mock or incomplete artifact in this skill's tree, even one labeled "reference", is misleading: operators will read it as production-ready.

Loading order

  1. Read this SKILL.md first to confirm the user's question is in scope.
  2. For the DMS architecture, deployment shapes, auth modes, protocol/path inventory, persistency, logging, and security posture, see CAPABILITIES.md.
  3. For step-by-step workflows — configure, build, modify, run, test, debug — see TASKS.md.
  4. Apply the destructive-operation gate in every phase. Before any 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.

Related skills

  • 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 and install 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.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Doca Dms AI skill do?

Operate NVIDIA DOCA Management Service (`dmsd` + `dmspe`) on a BlueField, Arm/x86 host, or Kubernetes pod: choose deployment and 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. SAFETY: reboot, OS install, factory-reset, and managed-file deletion are destructive and require target-bound explicit confirmation; never invoke them speculatively. Route installat...

Why use Doca Dms on TypingMind?

Because you install it once and use it with any model. Doca Dms is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Doca Dms in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/NVIDIA/skills/tree/main/skills/doca-dms. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Doca Dms?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Doca Dms?

As many as you like. As long as a model supports skills, you can use Doca Dms with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Doca Dms AI skill free?

Yes. It is published on GitHub by NVIDIA under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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