nvidia-skill-finder
Use for NVIDIA-related requests where an NVIDIA skill might help, even if the user did not ask for a skill. Trigger on NVIDIA products, hardware, software,…
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
$ npx -y skills add NVIDIA/skills --skill doca-setup --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/doca-setupContext preview
The summary Claude sees to decide when to auto-load this skill.
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
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.
**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.
The CLASSES this skill is built to handle, each with one worked example. The skill must answer the *class*; the worked example is illustrative.
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.
*"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).
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).
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).
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).
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).
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.
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) — th
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