Use this skill when the user is dealing with the DOCA environment around their workload — verifying an install is healthy, preparing the build env (pkg-config, headers, LD_LIBRARY_PATH, hugepages, devlink, representors), debugging env-class failures, deciding container-vs-bare-metal deployment shape, or reaching a DOCA install from a host that doesn't have one yet via the NGC DOCA container Stage-1 fallback. Trigger even when the user does not explicitly mention "DOCA setup" — typical implici...
Scanned 9/3/2026
Install to Claude Code
npx -y skills add NVIDIA/skills --skill doca-setup --agent claude-codeInstalls into .claude/skills of the current project.
Are you the author of Doca Setup?
Add the live security badge to your README — it updates automatically with every re-scan.
[](https://www.skillsdirectory.com/skills/nvidia-doca-setup)More formats (shields.io, HTML) on the badges page.
---
license: Apache-2.0 AND CC-BY-4.0
name: doca-setup
description: >
Use this skill when the user is dealing with the DOCA environment
around their workload — verifying an install is healthy, preparing
the build env (pkg-config, headers, LD_LIBRARY_PATH, hugepages,
devlink, representors), debugging env-class failures, deciding
container-vs-bare-metal deployment shape, or reaching a DOCA install
from a host that doesn't have one yet via the NGC DOCA container
Stage-1 fallback. Trigger even when the user does not explicitly
mention "DOCA setup" — typical implicit phrasings include "I just
got a BlueField, what now", "my code is built, how do I run it",
"pkg-config can't find doca-flow", "no free 2048 kB hugepages",
"representor X not found", "I'm on a Mac and want to learn DOCA".
Refuse and route elsewhere for library API specifics (Flow pipes,
RDMA queues), the modify-a-sample first-app workflow or DOCA_ERROR_*
program-side debugging, and "where is X documented" knowledge-map
questions — those belong to other skills.
metadata:
kind: library
compatibility: >
No DOCA install required to read this skill (it is an overlay loaded
against any DOCA artifact skill); the validation steps within DO
require a live DOCA install at /opt/mellanox/doca. The agent must
have a target-host command channel or provide commands for the user
to run and return their exact output; local shell access must not be
assumed to reach the target.
---
# DOCA setup
**Where to start:** If the user's question is *deployment-shaped*
(*"how do I deploy"*, *"how do I run my DOCA workload"*, *"I just got a
BlueField, what now"*, *"my code is built, what next"*), walk
[`TASKS.md ## recognize`](TASKS.md#recognize) **first**. It is the
bundle's front-door: it detects the system shape (host x86 / BlueField
Arm bare-metal / DPU-only / fresh laptop), asks the developer the
minimal set of questions needed to disambiguate, and routes to the
correct downstream skill — the container deployment path
([`doca-container-deployment`](../doca-container-deployment/SKILL.md)),
the bare-metal hardware deployment path
([`doca-bare-metal-deployment`](../doca-bare-metal-deployment/SKILL.md)),
or the no-hardware fallback
([`TASKS.md ## no-install`](TASKS.md#no-install)). The wrong failure
mode is to silently steer every developer onto containers because the
agent loaded that skill first; `## recognize` exists to prevent that.
If the user does not have DOCA installed yet and the request is not
deployment-shaped, jump straight to
[`TASKS.md ## no-install`](TASKS.md#no-install) for the NGC container
path. Deployment-shaped requests still enter `## recognize` first,
which routes fresh-laptop cases to `## no-install`. Otherwise read
[`## When to load this skill`](#when-to-load-this-skill) to confirm the
question is env-class, then route to the section below that matches the
user's intent.
## Example questions this skill answers well
The CLASSES this skill is built to handle, each with one worked example.
The skill must answer the *class*; the worked example is illustrative.
- **"I want to deploy a DOCA workload — what is the right path?"** —
worked example: *"I just got a BlueField; my code is built; what
now?"* Resolved by the front-door decision tree in
[`TASKS.md ## recognize`](TASKS.md#recognize), which detects the
system shape, asks the minimum residual question, and routes to
either the container or the bare-metal deployment skill.
- **"Verify DOCA is installed and healthy."** — worked example:
*"Is DOCA Flow actually available on this box?"* Resolved by the
install-health snapshot in [`TASKS.md ## test`](TASKS.md#test) plus the
version-detection rules in
[`CAPABILITIES.md ## Capabilities and modes`](CAPABILITIES.md#capabilities-and-modes).
- **"I do not have DOCA installed — what now?"** — worked example: *"I'm
on macOS and want to learn DOCA before I get a BlueField."* Resolved
by [`TASKS.md ## no-install`](TASKS.md#no-install) (NGC DOCA container
as universal Stage-1).
- **"Prepare the build environment for any DOCA library."** — worked
example: *"`pkg-config --cflags doca-flow` returns nothing — what's
missing?"* Resolved by the build-prep workflow in
[`TASKS.md ## configure`](TASKS.md#configure) and the build-class
error taxonomy in
[`CAPABILITIES.md ## Error taxonomy`](CAPABILITIES.md#error-taxonomy).
- **"Prepare the runtime preconditions on a real DPU box."** — worked
example: *"hugepages / representors / devlink — what's the minimum set
before I run my first DOCA Flow program?"* Resolved by
[`TASKS.md ## configure`](TASKS.md#configure) and the runtime
observability rules in
[`CAPABILITIES.md ## Observability`](CAPABILITIES.md#observability).
- **"Diagnose an env-class failure (install / build / runtime)."** —
worked example: *"My DOCA Flow program built fine but says
`pkg-config` cannot find it at runtime."* Resolved by the layered
env-class debug workflow in [`TASKS.md ## debug`](TASKS.md#debug).
- **"Change something about the environment safely."** — worked
example: *"I want to switch eswitch mode from legacy to switchdev."*
Resolved by the safety constraints in
[`CAPABILITIES.md ## Safety policy`](CAPABILITIES.md#safety-policy).
If the question is library-API-shaped (Flow pipe construction, RDMA
queue setup, …) or program-shaped (how to build, modify a sample, debug
the program itself), route to
[`doca-programming-guide`](../doca-programming-guide/SKILL.md) or the
matching library skill instead — env-class only lives here.
## When to load this skill
Load this skill when the user is dealing with the **environment around DOCA** — installing it, verifying the install is healthy, preparing the build / runtime preconditions, debugging env-class failures, figuring out *how to reach an install* from a host that doesn't have one yet, or asking a **deployment-shaped question** that hasn't yet been routed (containers vs. bare-metal) — the front-door routing decision lives here. Concretely:
- The deployment-shape routing front door: *"I just got a BlueField, what now?"*, *"my code is built, how do I run it?"*, *"how do I deploy this?"* All of these load `## recognize` first so the agent does not silently push the user onto the wrong path.
- Verifying that the DOCA install is healthy and that the build environment can find it (`pkg-config`, headers, library paths).
- Preparing the runtime: hugepages, `devlink` device visibility, representor enumeration, kernel-module prerequisites.
- Diagnosing common setup-class failures: missing `*.pc` file, hugepages not mounted, representor not visible, header-vs-runtime version mismatch.
- The *I have no install yet* path: the user is on macOS, Windows, or a Linux box without DOCA, and needs to reach an environment where DOCA is actually installed. The canonical Stage-1 answer is the public **NGC DOCA container** at `nvcr.io/nvidia/doca/doca` (works on any OS that runs Docker; no NVIDIA hardware required for the build / read / learn loop). See [`TASKS.md ## no-install`](TASKS.md#no-install).
Do **not** load this skill for:
- *"What is DOCA?", "where is the developer guide?", "where is the install layout documented?"* — those are routing questions; use [`doca-public-knowledge-map`](../doca-public-knowledge-map/SKILL.md).
- *"How do I derive a custom first application from a sample?", "how do I structure a DOCA build?", "what does `DOCA_ERROR_BAD_STATE` mean?"* — those are **programming-class** questions and live in [`doca-programming-guide`](../doca-programming-guide/SKILL.md), which owns the universal `## modify` (first-app derivation), the canonical `## build` pattern, the universal lifecycle, and the cross-library `DOCA_ERROR_*` taxonomy.
- *Library-internal API questions* (Flow pipe construction, RDMA queue setup, etc.) — those belong in the matching library skill (e.g. [`doca-flow`](../libs/doca-flow/SKILL.md)). This skill stops at *"the install is healthy and the env is ready"*; it does not own program semantics.
## What this skill provides
This is a **thin loader**. The body keeps only the orientation needed to pick the right next file. The substantive env material lives in two companion files:
- `CAPABILITIES.md` — what the install / build / runtime *environment* surface looks like: install profiles (`doca-all`, `doca-ofed`, `doca-networking`), where the build flavors (release vs trace) live on disk and how to point `LD_LIBRARY_PATH` at them, the env-side version-detection rules, the env-class error taxonomy (`pkg-config` not finding `doca-flow`, hugepages not reserved, representors not visible), what a healthy install looks like under observation, and the safety constraints on environment changes (hugepages global, `mlxconfig` reset, eswitch mode change).
- `TASKS.md` — env workflows: `recognize` (the front-door system-shape detect + dev-Q decision tree that routes deployment-shaped questions to either container or bare-metal), `configure` (env prep), `test` (install health snapshot), `debug` (env-class layered diagnosis), and `no-install` (the *I have no install yet* procedure with the NGC container as Path 0). Three other anchors (`build`, `modify`, `run`) exist for lint compliance and route to [`doca-programming-guide`](../doca-programming-guide/SKILL.md), which owns those verbs after the env / program split.
This skill assumes nothing about whether DOCA is installed — the `## no-install` workflow exists precisely for the *fresh laptop* case.
## Loading order
1. Read this `SKILL.md` and classify the question as programming,
knowledge-map, beginner orientation, deployment routing, or
environment work. Programming and knowledge-map questions route to
their owning skill and stop here.
2. **For beginner orientation**, show the
[`TASKS.md ## no-install` Stage 1 vs Stage 2 roadmap](TASKS.md#stage-1-vs-stage-2--open-every-i-am-new-to-doca-answer-with-the-staged-roadmap)
before any command. Then route Stage 1/container learning to
`## no-install` Path 0 and Stage 2/hardware runtime to
`## no-install` Paths A/C, followed by `## recognize` before
selecting container versus bare-metal. Ask one clarifying question
when the stage is unknown; if it remains unknown or no reply is
available in unattended execution, stop with
`confirmation_required` and both paths explained rather than
guessing.
3. **For deployment routing**, walk
[TASKS.md ## recognize](TASKS.md#recognize) first only when the
container-versus-bare-metal path is not already established. If it
is established, proceed directly to the matching env workflow.
4. **Before a change recommendation on an installed/hardware target**,
load the mandatory
[Universal verification contract](CAPABILITIES.md#universal-verification-contract)
and walk all applicable steps through an auditable green signal.
Hardware-touching answers also load the
[hardware binding-layer command stanza](CAPABILITIES.md#hardware-binding-layer-command-stanza).
The Stage-1 no-hardware path instead uses its own container
install/smoke green signal; never fabricate unavailable PCIe,
representor, or hardware evidence.
5. **For env workflows — `configure`, `test`, `debug`, and
`no-install` — see [TASKS.md](TASKS.md).** The `build`, `modify`,
and `run` anchors route to
[`doca-programming-guide`](../doca-programming-guide/SKILL.md).
6. Once the env is healthy, hand off to the selected deployment skill,
then `doca-programming-guide`, then the matching library skill.
Both companion files cross-link to each other and to `doca-public-knowledge-map` whenever the right answer is *"look it up in the public docs or the installed package layout"* rather than *"setup-specific guidance"*.
## Related skills
- [`doca-container-deployment`](../doca-container-deployment/SKILL.md) — the container deployment runtime (kubelet standalone + YAML pod-spec drop) for any DOCA service container on BlueField. `## recognize` here routes to this skill when the developer's workload + system shape land on the container path.
- [`doca-bare-metal-deployment`](../doca-bare-metal-deployment/SKILL.md) — the bare-metal hardware deployment runtime (host x86 OR BlueField Arm direct launch — systemd / tmux / direct invocation, hardware-resource binding, per-tenant isolation, restart discipline) for a DOCA-linked binary. `## recognize` here routes to this skill when the developer's workload + system shape land on the bare-metal path.
- [`doca-public-knowledge-map`](../doca-public-knowledge-map/SKILL.md) — public DOCA documentation routing and the on-disk layout of an installed DOCA package. This skill defers all *"where is X documented"*, *"where on disk is Y"*, and *"how do I check the installed version"* questions to the knowledge-map.
- [`doca-programming-guide`](../doca-programming-guide/SKILL.md) — general DOCA programming patterns once the env is healthy: the canonical `pkg-config doca-<library>` build pattern, the universal *derive a custom first app from a sample* workflow (with C / C++ + non-C tracks), the universal lifecycle, and the cross-library `DOCA_ERROR_*` taxonomy. Anything beyond *"is the install healthy and the env ready"* lives there.
- [`doca-flow`](../libs/doca-flow/SKILL.md) — DOCA Flow on BlueField. Builds on this skill for env preparation and on `doca-programming-guide` for the universal first-app derivation, then layers Flow-specific overrides on top.
Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.
No comments yet. Be the first to comment!