mcpbeat

Doca Caps

nvidia/doca-caps

> Use this skill when the user wants to invoke the read-only doca_caps CLI to ask what DOCA sees on this host — listing DOCA devices and PCIe addresses, listing representor devices, asking which DOCA libraries are available on the current OS, checking per-device per-library capabilities, scoping output to a specific PCIe address, or capturing a side-effect-free capability snapshot for a debug session or install smoke-test. Trigger even when the user does not explicitly mention "doca_caps" or "capabilities print tool" — typical implicit phrasings include "what does DOCA actually see on this box", "is my BlueField PF visible to DOCA", "is Flow available on my RHEL host", "enumerate VF representors for RDMA, is the tool broken". Refuse and route elsewhere for DOCA installation, library-internal capability matrices (Flow pipe creation, RDMA verbs features), streaming telemetry / DTS, or modifying the shipped binary — those belong to other skills.

16k tokens
context cost
the whole folder, loaded on every use
8
files
instructions only
0
copies elsewhere
how many repositories repackaged it
2778
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/NVIDIA/skills --skill doca-caps

What comes with it

52 335 bytes besides the instruction
BENCHMARK.md
CAPABILITIES.md
SKILLCARD.yaml
TASKS.md
evals/evals.json
skill-card.md
skill.oms.sig

The instruction itself

8 sections, as written by the author

DOCA Capabilities Print Tool (doca_caps)

Where to start: This is a tool skill for invoking doca_caps,

a side-effect-free CLI. Open TASKS.md and start at

## run for the documented invocations, or

## test when using doca_caps as an install

smoke-test. Open CAPABILITIES.md when the

question is *what kinds of capability families doca_caps reports*.

If DOCA is not installed yet, route to

doca-setup first.

Example questions this skill answers well

The CLASSES of doca_caps 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.

  • "What DOCA devices does this host see?" — worked example: *"is

my BlueField PF visible to DOCA"*. Answered by the device

enumeration in

CAPABILITIES.md ## Capabilities and modes

+ the --list-devs invocation in

TASKS.md ## run.

  • "Which DOCA libraries are available on this OS?" — worked

example: *"is Flow available on my RHEL host"*. Answered by the

library-availability surface in

CAPABILITIES.md ## Capabilities and modes

+ the library-listing invocation in

TASKS.md ## run.

  • "Does this device support library X capability Y?" — worked

example: *"does this device support Flow hairpin?"*. Answered by

the per-device per-library capability matrix in

CAPABILITIES.md ## Capabilities and modes

+ the --pci-addr-scoped invocation in

TASKS.md ## run.

  • "What representors are visible to DOCA?" — worked example:

*"enumerate VF representors for pf0"*. Answered by the representor

enumeration in

CAPABILITIES.md ## Capabilities and modes

+ the --list-rep-devs invocation in

TASKS.md ## run.

  • "I want a snapshot of state to attach to my debug session."

worked example: *"save device + library + capability output to a

file"*. Answered by the snapshot workflow in

TASKS.md ## test and consumed by

doca-debug ## test step 3

(read-only triple) and

doca-programming-guide ## debug.

  • **"doca_caps returned nothing for capability Y — what does that

mean?"** — worked example: *"empty output for RDMA"*. Answered by

the empty-output interpretation rules in

TASKS.md ## debug +

CAPABILITIES.md ## Error taxonomy.

Audience

This skill serves **external operators, developers, and AI agents who

need a side-effect-free way to ask "what does DOCA see on this host?"**

before doing anything that changes state. Concretely:

  • An external developer who installed DOCA (or is using the public NGC

DOCA container per doca-setup ## no-install)

and wants to confirm the install can see hardware before writing code.

  • A platform operator deploying a DOCA service who wants a documented,

read-only snapshot of *which DOCA libraries this host actually

supports* and *which capabilities each DOCA device offers*.

  • An AI agent producing a *capability snapshot* artifact during the

documented setup or programming-guide debug procedures (it's listed

as the canonical first step in

doca-setup ## test and

doca-programming-guide ## debug).

It is not for users debugging doca_caps itself, and not a

substitute for the live public Capabilities Print Tool guide.

doca_caps is shipped as a tool (a single CLI binary), not a

library you link against. The skill uses the same kind: tool

three-file shape as the rest of the bundle so the agent's task-verb

contract (configure / build / modify / run / test / debug) is uniform

across libraries, services, and tools — even when individual verbs

collapse to a routing stub for a shipped read-only binary.

When to load this skill

Load this skill when the user is — or the agent needs to — invoke

doca_caps on a real host with DOCA installed (or inside the public

NGC DOCA container). Concretely:

  • Running doca_caps --list-devs to enumerate DOCA devices.
  • Running doca_caps --list-rep-devs to enumerate representor

devices.

  • Scoping output to a specific PCIe address with --pci-addr.
  • Listing the DOCA libraries the install reports as available on the

current OS.

  • Listing the available DOCA logger names.
  • Capturing a documented, side-effect-free capability snapshot as

prerequisite evidence for later ## debug workflows.

Do not load this skill for general DOCA orientation, library API

work, or installation. For those, use

doca-public-knowledge-map,

the matching libs/<library> skill, or

doca-setup.

What this skill provides

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

files:

  • CAPABILITIES.md — what doca_caps reports (the five documented

capability families: devices, representors, libraries, library

capabilities, loggers), version availability and execution

environment, the tool's narrow error surface, its observability role

inside other skills' workflows, and its read-only safety posture.

  • TASKS.md — step-by-step workflows for the in-scope task verbs:

configure (route to install), build (route to install), modify

(refuse), run (the documented invocations), test (capability

snapshot as install smoke-test), debug (what to do when the tool

reports nothing or fails), plus a Deferred task verbs block routing

out-of-scope questions.

The skill assumes a host where DOCA is already installed (or the public

NGC DOCA container is running) and the operator has whatever

permissions the public guide requires for doca_caps to enumerate

devices on their platform.

What this skill deliberately does not ship

This skill is agent guidance, not a samples or scripts bundle. To

keep the boundary clean, it deliberately does not contain — and pull

requests should not add:

  • Pre-baked example output. Output is install- and

hardware-specific. A captured example pinned to one platform and

one DOCA version misleads operators on a different platform / version.

  • Wrappers, parsers, or scripts in any language that consume

doca_caps output. The output format is documented; if a user

wants to script against it, the right answer is "read the live

guide, write the parser against your installed version".

  • A samples/ or reference/ subtree. This is a thin loader for

a documented CLI; substantive material lives on the public page and

in --help.

Loading order

  • Read this SKILL.md first to confirm the user's question is in

scope (the user actually wants to invoke doca_caps, not learn

about DOCA in general).

  • **For what doca_caps reports, version availability, error

surface, and safety posture, see CAPABILITIES.md.**

  • **For the documented invocations and the capability-snapshot

workflow — configure, build, modify, run, test, debug

see TASKS.md.**

  • doca-public-knowledge-map

— routing to the public Capabilities Print Tool guide and the rest

of the public DOCA documentation set.

  • doca-setup — env preparation, install

verification (doca_caps is the canonical first step there), and

the *I have no install yet* path with the public NGC DOCA container.

  • doca-programming-guide

cross-library programming patterns, including the ## debug

procedure where the saved doca_caps snapshot is consumed.

  • The matching libs/<library> skill — for fine-grained,

library-specific capability questions that go beyond what

doca_caps exposes.

How to use it

Copy the folder

Take nvidia/doca-caps from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

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.