git clone --depth 1 https://github.com/NVIDIA/skills /tmp/doca-dpdk-bridge && cp -r /tmp/doca-dpdk-bridge/skills/doca-dpdk-bridge ~/.claude/skills/doca-dpdk-bridgeSKILL.md
# DOCA DPDK Bridge **Where to start:** This skill assumes DOCA is already installed, DPDK is already installed, the user has an **existing DPDK application**, and they want to **add DOCA capabilities to it in-place** (most commonly DOCA Flow for hardware steering) without migrating the data-plane to DOCA-native APIs. Open [`TASKS.md`](TASKS.md) if the user wants to *do* something (configure / build / modify / run / test / debug); open [`CAPABILITIES.md`](CAPABILITIES.md) when the question is *what the bridge can express* on this version. If the user has not installed DOCA yet, route to [`doca-setup`](../../doca-setup/SKILL.md) first. If the user is **starting fresh** (no DPDK code yet) and just wants line-rate packet I/O against DOCA, route to [`doca-eth`](../doca-eth/SKILL.md) instead — the bridge exists for the interop case, not the start-fresh case. ## Example questions this skill answers well The CLASSES of DOCA DPDK Bridge 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. - **"I have a DPDK app — how do I add DOCA Flow rules to it without rewriting the data-plane?"** — worked example: *"my packet-processing app already drives mbufs through `rte_eth_*` ports; I want to install DOCA Flow steering rules on those ports for HW offload"*. Answered by the bridge-vs-native selection rule in [`CAPABILITIES.md ## Capabilities and modes`](CAPABILITIES.md#capabilities-and-modes) + the port-handover workflow in [`TASKS.md ## configure`](TASKS.md#configure) step 3. - **"How do I make a DPDK port visible to DOCA?"** — worked example: *"I have a DPDK port id from `rte_eth_dev_*`; how does DOCA see it"*. Answered by the DPDK-port-id ↔ `doca_dev` mapping (`doca_dpdk_port_probe` / `doca_dpdk_port_as_dev`) in [`CAPABILITIES.md ## Capabilities and modes`](CAPABILITIES.md#capabilities-and-modes) bridge-objects table + the binding workflow in [`TASKS.md ## configure`](TASKS.md#configure) step 4. - **"How do I move packets between DPDK mbufs and DOCA bufs?"** — worked example: *"DPDK delivers an `rte_mbuf` to my fastpath; I want a DOCA library to operate on the payload"*. Answered by the mbuf ↔ DOCA-buf conversion shape in [`CAPABILITIES.md ## Capabilities and modes`](CAPABILITIES.md#capabilities-and-modes) + the conversion-step workflow in [`TASKS.md ## modify`](TASKS.md#modify). - **"Is the bridge even installed and is its DPDK compatible with my DOCA?"** — worked example: *"`pkg-config --exists doca-dpdk-bridge` returns failure on a host that has DPDK separately installed"*. Answered by the version-coupling rule in [`CAPABILITIES.md ## Version compatibility`](CAPABILITIES.md#version-compatibility) + the cap-check workflow in [`TASKS.md ## configure`](TASKS.md#configure) step 1. - **"Should I be using `doca-dpdk-bridge` or `doca-eth`?"** — worked example: *"new project; I have not committed to DPDK yet"*. Answered by the path-selection table in [`CAPABILITIES.md ## Capabilities and modes`](CAPABILITIES.md#capabilities-and-modes) bridge-vs-native row + the deferred-verbs note in [`TASKS.md ## Deferred task verbs`](TASKS.md#deferred-task-verbs). - **"What does this `DOCA_ERROR_*` from a bridge call mean and which layer caused it?"** — worked example: *"`DOCA_ERROR_NOT_FOUND` on a port-registration call after the DPDK port came up cleanly"*. Answered by the bridge overlay on the cross-library taxonomy in [`CAPABILITIES.md ## Error taxonomy`](CAPABILITIES.md#error-taxonomy) + the layered ladder in [`TASKS.md ## debug`](TASKS.md#debug) that escalates to [`doca-debug`](../../doca-debug/SKILL.md). ## Audience This skill serves **external developers who already maintain a DPDK-based packet-processing application** — i.e., users whose data-plane already drives `rte_eth_*` ports and `rte_mbuf` buffers — and who want to **add DOCA capabilities** (most commonly hardware steering via DOCA Flow) by linking the bridge into the same process. It is *not* for users starting a fresh DOCA-native project (route to [`doca-eth`](../doca-eth/SKILL.md)) and *not* for users running pure DPDK with no interest in DOCA (no skill in this bundle applies). It is also not for NVIDIA developers contributing to DOCA DPDK Bridge itself. **Language scope.** DOCA DPDK Bridge ships as a C library with `pkg-config` module name `doca-dpdk-bridge` (the agent must confirm the spelling against the user's install via `pkg-config --exists doca-dpdk-bridge`; some DOCA releases use a slightly different module name and the agent must not guess). The shipped samples are written in C. C and C++ consumers are the canonical case; the worked examples in `TASKS.md` assume that path. Other-language consumers (Rust, Go, Python, …) typically do not use this bridge — DPDK itself is C-shaped, and a non-C DPDK app is rare; if the user is in that minority, the skill's contribution is to keep the port-handover, capability, permission, and error-taxonomy guidance language-neutral and route them to the public C ABI as the authoritative surface. ## When to load this skill Load this skill when the user is doing hands-on DOCA DPDK Bridge work, in any language. Concretely: - The user has an EXISTING DPDK application (their data-plane already drives `rte_eth_dev_*` ports and `rte_mbuf` buffers), and they want to layer DOCA on top — adding DOCA Flow rules, feeding packets into a DOCA accelerator (Compress, AES-GCM, …), or wiring a DOCA service into the same process. - The user needs to bind a DPDK port id to a `doca_dev` (via `doca_dpdk_port_probe` / `doca_dpdk_port_as_dev`) so DOCA Core / DOCA Flow can operate on the same physical port. - The user needs to convert between DPDK mbufs and DOCA-bufs at the data-plane boundary, and is asking about the conversion helpers and their cost. - The user is debugging a `DOCA_ERROR_*` returned from a bridge
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Official NVIDIA-authored guidance for NVIDIA cuDF GPU DataFrames, pandas acceleration, dask-cuDF, ETL, joins, groupby, CSV/Parquet I/O, nullable semantics, and multi-GPU DataFrame workloads.
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