doca-eth
Use this skill for hands-on DOCA Ethernet packet-queue work on a BlueField DPU or ConnectX NIC — bringing up a `doca_eth_rxq` or `doca_eth_txq` on a port /…
Skill by NVIDIA <doca@nvidia.com>
Chalk Labs
Need help deploying doca-eth?
Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/nvidia-doca-eth
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
Get the weekly diff
The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.
About
Use cases: data, productivity
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/doca-eth
What's inside
- Skill name
doca-eth- Description
- Use this skill for hands-on DOCA Ethernet packet-queue work on a BlueField DPU or ConnectX NIC — bringing up a `doca_eth_rxq` or `doca_eth_txq` on a port / representor / SF, picking among the four `enum doca_eth_rxq_type` values (`_REGULAR` / `_CYCLIC` / `_MANAGED_MEMPOOL` / `_SHARED_MEMPOOL`), sizing burst or scatter-gather length against the `_cap_*` queries, submitting `doca_eth_txq_task_send` / `_lso_send` (carrying packet `doca_buf`s — no `doca_eth_frame` struct exists), or debugging DOCA_ERROR_* from an Ethernet call. `doca_eth_rxq` and `doca_eth_txq` are two Core contexts; one `doca_ctx_start()` does not cover both. Trigger on implicit phrasings: "my RX queue is up but no packets arrive", "send-task returns AGAIN at line rate", "which queue type for fixed-MTU ingress", "device open fails without sudo", or "is L3 checksum offload available here". Refuse and route elsewhere for installing DOCA, flow-rule / steering programming, host↔DPU control messaging, or RDMA data movement.
- License
- Apache-2.0
- Compatibility
- Requires DOCA SDK installed at /opt/mellanox/doca on Linux (Ubuntu 22.04/24.04 or RHEL/SLES) with a BlueField DPU or ConnectX NIC attached. Reads the user's local install via `pkg-config doca-eth` and inspects /opt/mellanox/doca/{lib,include,samples,applications}. The validation steps require a live DOCA install.
- Metadata
- kind: library · author: NVIDIA <doca@nvidia.com> · doca_version: 3.5
- Instructions
- 276 lines in SKILL.md · view on GitHub
Files (8)
- BENCHMARK.md
- CAPABILITIES.md
- SKILL.md
- SKILLCARD.yaml
- TASKS.md
- evals.json · evals/
- skill-card.md
- skill.oms.sig
SKILL.md (first lines)
# DOCA Ethernet ## Examples - **"My RX queue is up but no packets arrive."** — RX and TX are two Core contexts; one `doca_ctx_start()` does not cover both. - **"Send-task returns AGAIN at line rate."** — size burst against the `_cap_*` queries before changing queue type. ## Instructions Follow Loading order below. Open the tasks companion for configure / build / run. Open the capabilities companion for the RX-type taxonomy and send surface. Do not open every companion file. **Where to start:** This skill assumes DOCA is already installed and the user is doing **hands-on packet-queue work** on a host or BlueField with DOCA. Open the tasks companion if the user wants to *do* something (configure / build / modify / run / test / debug); open the capabilities companion when the question is *what can a DOCA Ethernet queue express* on this version. If the user has not installed DOCA yet, route to `doca-setup/SKILL.md` first. **RX and TX are independent Core contexts.** A `doca_eth_rxq` and a `doca_eth_txq` each get their own `doca_ctx_create` / `_start` / `_stop` / `_destroy`; one `doca_ctx_start()` does **not** start both sides. Do not walk a single lifecycle for "the queue pair". If the user is asking *"how do I get packets to land on my RX queue at all"*, the answer lives in `doca-flow/SKILL.md` — DOCA Ethernet is the *queue* surface; DOCA Flow is the *steering* surface, and they are independent libraries. ## Example questions this skill answers well The CLASSES of DOCA Ethernet questions this skill is built to answer, each with one worked example. The agent should treat the *class* as the load-bearing piece — the worked example is a single instance. - **"How do I bring up an RX and TX queue on a representor or physical port?"** — worked example: *"set up a `doca_eth_rxq` plus a `doca_eth_txq` on a single BlueField representor for first-run testing"*. Answered by two independent Core contexts (each with its own start) in ## configure + ## Capabilities and modes RX / TX object table. - **"Which RX type fits my data shape — regular, cyclic, or managed-recv?"** — worked example: *"line-rate ingress with fixed-size frames into a pre-allocated buffer ring"*. Answered by the RX-type taxonomy in ## Capabilities and modes + the capability-query rule (`doca_eth_rxq_cap_is_type_supported` against a `doca_devinfo`) in ## configure. - **"How do I send a packet from user code through `doca_eth_txq`?"** — worked example: *"allocate a packet `doca_buf`, attach the payload, submit one send-task, wait for the completion event"*. Answered by the TX submission shape in ## Capabilities and modes + the property-set workflow in ## modify. - **"My queue is up but no packets arrive — why?"** — worked example: *"`doca_eth_rxq` started cleanly but the recv callback never fires"*. Answered by the steering-dependency rule in ## Safety policy + the env-prep checklist in ## configure step 1, which routes the steering side to `doca-flow/SKILL.md` and the promiscuous-mode side to `doca-setup/SKILL.md`. - **"Is this Ethernet capability available on my device + my installed DOCA?"** — worked example: *"does this device advertise L3 checksum offload"*. Answered by the capability-query rule (`doca_eth_txq_cap_is_l3_chksum_offload_supported` against a `doca_devinfo`) in ## Capabilities and modes + the version-and-device overlay in ## Version compatibility. - **"What does this `DOCA_ERROR_*` from an Ethernet call mean and which layer caused it?"** — worked example: *"`DOCA_ERROR_AGAIN` on `doca_task_submit` for an `eth_txq` send-task at high rate"*. Answered by the Ethernet overlay on the cross-library taxonomy in ## Error taxonomy + the layered ladder in ## debug that escalates to `doca-debug/SKILL.md`. **Picking the root-cause layer when several could explain a symptom.** Walk the layers bottom-up (install → version → build → link → runtime → program → driver) with the read-only check each layer names in `TASKS.md` `## debug`. The lowest layer whose check fails is the root cause: fix it, change one variable at a time, and re-run the same check before moving up. For a silent RX queue, rule out the three runtime preconditions (device access, port up, traffic steered to the queue) before any program or driver cause. ## Audience This skill serves **external developers building applications that consume the DOCA Ethernet library** — i.e., users whose code calls `doca_eth_rxq_*` / `doca_eth_txq_*` (directly in C/C++, or through FFI/bindings from another language) to do line-rate packet I/O on physical ports, representors, or SFs of a BlueField or ConnectX device. It is *not* for NVIDIA developers contributing to DOCA Ethernet itself. **Language scope.** DOCA Ethernet ships as a C library with `pkg-config` module name `doca-eth`. The shipped samples are written in C. C and C++ consumers are the canonical case; the worked examples in the tasks companion assume that path. Other-language consumers (Rust, Go, Python, …) consume the same `*.so` through FFI or language-specific bindings; the skill's contribution in that case is to keep the queue-object split, lifecycle, capability-discovery, permission, RX-type taxonomy, and error-taxonomy guidance language-neutral, and to route the agent to the public C ABI as the authoritative surface that any wrapper
From NVIDIA/skills, Apache-2.0.
More from NVIDIA/skills
- 0.846score
nemo-fabric-integrate
NVIDIA Corporation and Affiliates
Use this skill when integrating NVIDIA NeMo Fabric into a consumer application, service, evaluation harness, or platform through the typed Python SDK —…
SkillAFreshness: A★ 3.7KClaude Code +9 - 0.846score
jetson-video-pipeline
Vinit Bansal <vinitkumarb@nvidia.com>
Use when planning, executing, and independently validating Jetson Video Codec SDK or PyNvVideoCodec encode/decode, transcode, segmentation, container decode…
SkillAFreshness: A★ 3.7KClaude Code +9 - 0.846score
nvflare-convert-pytorch
NVIDIA FLARE Team <federatedlearning@nvidia.com>
Convert existing plain or manual PyTorch training code into an NVFLARE federated job using Client API model exchange, local validation, and job export; use…
SkillAFreshness: A★ 3.7KClaude Code +9 - 0.846score
nemo-relay-get-started
NVIDIA Corporation and Affiliates
Use this skill when first-time NeMo Relay users want help selecting and following an appropriate quick-start guide or verifying their first working integration.
SkillAFreshness: A★ 3.7KClaude Code +9 - 0.846score
jetson-video-recipe
Vinit Bansal <vinitkumarb@nvidia.com>
Use when turning a Jetson encoder use case into one surface-neutral recipe with native Video Codec SDK and PyNvVideoCodec projections.
SkillAFreshness: A★ 3.7KClaude Code +9 - 0.846score
nvidia-broadcast
NVIDIA Broadcast Team <broadcast-skills-dev@nvidia.com>
Use when controlling NVIDIA Broadcast through MCP to apply effects, process local media, select devices, or change camera resolution, or when Broadcast is…
SkillAFreshness: A★ 3.7KClaude Code +9 - 0.846score
jetson-video-setup
Vinit Bansal <vinitkumarb@nvidia.com>
Use when installing, repairing, reusing, inspecting, or verifying readiness of the native NVIDIA Video Codec SDK or PyNvVideoCodec on Jetson, including the…
SkillAFreshness: A★ 3.7KClaude Code +9 - 0.846score
nvflare-diagnose-job
NVIDIA FLARE Team <federatedlearning@nvidia.com>
Use when the user asks why a reported NVFLARE job failure signal occurred: the job failed, stalled, timed out, lost clients, ended with EXECUTION_EXCEPTION…
SkillAFreshness: A★ 3.7KClaude Code +9 - 0.846score
nvflare-convert-lightning
NVIDIA FLARE Team <federatedlearning@nvidia.com>
Convert existing PyTorch Lightning training code into an NVFLARE federated job using the Lightning Client API patch, local validation, and job export; use…
SkillAFreshness: A★ 3.7KClaude Code +9 - 0.846score
nemo-relay-install
NVIDIA Corporation and Affiliates
Use this skill when choosing or running NeMo Relay installation for an agent runtime, application language, framework integration, or plugin bundle, or…
SkillAFreshness: A★ 3.7KClaude Code +9 - 0.846score
nvflare-fed-stats
NVIDIA FLARE Team <federatedlearning@nvidia.com>
Compute federated statistics over tabular data (count, sum, mean, stddev, var, histogram, quantile, noise-protected min/max) and image data (count…
SkillAFreshness: A★ 3.7KClaude Code +9 - 0.846score
jetson-video-capability
Vinit Bansal <vinitkumarb@nvidia.com>
Use when Jetson codec, profile, chroma, bit-depth, dimension, engine-count, or operational support must be reconciled from live APIs, authenticated NVIDIA…
SkillAFreshness: A★ 3.7KClaude Code +9
Signals
- Stars
- 3,718
- Forks
- 457
- Open issues
- 8
- Last commit (this folder)
- Oct 22, 2026 (9 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- Apache-2.0
- Repository
- github.com/NVIDIA/skills
- Website
- docs.nvidia.com/skills
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from NVIDIA <doca@nvidia.com>
- 0.790score
doca-bf4-deployment
NVIDIA <doca@nvidia.com>
WARNING: guides IRREVERSIBLE BlueField-4 hardware operations (PLDM firmware burns, ISO reflashes, power cycles, BMC factory resets); every mutating step is…
SkillAFreshness: A★ 3.7KClaude Code +9 - 0.790score
doca-container-deployment
NVIDIA <doca@nvidia.com>
Running an in-bundle DOCA service as a container on a BlueField (Argus, DMS, Firefly, or UROM service): kubelet standalone watching a static-pod manifests…
SkillAFreshness: A★ 3.7KClaude Code +9 - 0.790score
doca-bf3-deployment
NVIDIA <doca@nvidia.com>
Use this skill for BlueField-3 (BF3) day-1 platform bring-up via the classic RShim/BFB path: pushing a BlueField bundle (BFB) to the DPU over RShim with…
SkillAFreshness: A★ 3.7KClaude Code +9 - 0.790score
doca-bare-metal-deployment
NVIDIA <doca@nvidia.com>
Running a DOCA-linked binary directly on the hardware, with no container or kubelet: on host x86 with a BlueField NIC over PCIe, or bare-metal on BlueField Arm.
SkillAFreshness: A★ 3.7KClaude Code +9 - 0.790score
doca-collectx-deployment
NVIDIA <doca@nvidia.com>
Use this skill to deploy and operate a CollectX (clx) based DOCA telemetry collector on a host or BlueField — wiring providers / counters into the collector…
SkillAFreshness: A★ 3.7KClaude Code +9 - 0.790score
doca-verbs
NVIDIA <doca@nvidia.com>
Raw verbs inside DOCA Core (doca-verbs): direct control of QP, CQ, PD, SRQ and address-handle objects through doca_verbs_context and doca_verbs_qp_create /…
SkillAFreshness: A★ 3.7KClaude Code +9
Done for you
Rather not set it up yourself?
Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.
See how we build AI agents →Read the case studies
Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
- launches shipped
- 50+
- launches shipped
- media placements
- 500+
- media placements
- founders on every account
- 2
- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
Get doca-eth running in your business
Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.
Cite this page
doca-eth skill. Agent Mart. https://agentmart.dev/skills/nvidia-doca-eth (last updated 2026-10-24)