Finishing a Development Branch
obra/superpowers
Walks the last step of a branch: confirm tests pass, detect the git environment, ask how to integrate, carry out your choice and clean up the worktree.
A skill your agent uses when the user has an existing DPDK application and is adding DOCA capabilities in-place — most commonly DOCA Flow hardware steering — without rewriting the data-plane in…
$ npx skills add NVIDIA/skills --skill doca-dpdk-bridge -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install NVIDIA/skills doca-dpdk-bridge --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/doca-dpdk-bridge .claude/skills/doca-dpdk-bridge && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "doca-dpdk-bridge" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/doca-dpdk-bridge into .claude/skills/doca-dpdk-bridge/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "doca-dpdk-bridge", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/NVIDIA/skills/tree/main/skills/doca-dpdk-bridgeType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add NVIDIA/skills --skill doca-dpdk-bridge -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install NVIDIA/skills doca-dpdk-bridge --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/doca-dpdk-bridge .agents/skills/doca-dpdk-bridge && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "doca-dpdk-bridge" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/doca-dpdk-bridge into .agents/skills/doca-dpdk-bridge/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "doca-dpdk-bridge", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add NVIDIA/skills --skill doca-dpdk-bridge -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install NVIDIA/skills doca-dpdk-bridge --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/doca-dpdk-bridge .cursor/skills/doca-dpdk-bridge && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "doca-dpdk-bridge" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/doca-dpdk-bridge into .cursor/skills/doca-dpdk-bridge/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "doca-dpdk-bridge", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/NVIDIA/skills.git --path skills/doca-dpdk-bridge--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add NVIDIA/skills --skill doca-dpdk-bridge -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install NVIDIA/skills doca-dpdk-bridge --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/doca-dpdk-bridge .gemini/skills/doca-dpdk-bridge && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "doca-dpdk-bridge" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/doca-dpdk-bridge into .gemini/skills/doca-dpdk-bridge/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "doca-dpdk-bridge", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install NVIDIA/skills doca-dpdk-bridgeInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add NVIDIA/skills --skill doca-dpdk-bridge -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/doca-dpdk-bridge .github/skills/doca-dpdk-bridge && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "doca-dpdk-bridge" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/doca-dpdk-bridge into .github/skills/doca-dpdk-bridge/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "doca-dpdk-bridge", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add NVIDIA/skills --skill doca-dpdk-bridge -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install NVIDIA/skills doca-dpdk-bridge --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/doca-dpdk-bridge .opencode/skills/doca-dpdk-bridge && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "doca-dpdk-bridge" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/doca-dpdk-bridge into .opencode/skills/doca-dpdk-bridge/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "doca-dpdk-bridge", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
doca-dpdk-bridgeA skill your agent uses when the user has an existing DPDK application and is adding DOCA capabilities in-place — most commonly DOCA Flow hardware steering — without rewriting the data-plane in…
Doca Dpdk Bridge is an agent skill from NVIDIA/skills, published by the product's own GitHub organization. Use this skill when the user has an existing DPDK application and is adding DOCA capabilities in-place — most commonly DOCA Flow hardware steering — without rewriting the data-plane in DOCA-native form: binding a DPDK port id to a docadev (docadpdkportprobe / docadpdkportasdev), converting rtembuf ↔ docabuf, querying docadpdkcapisrepportsupported, or debugging DOCAERROR from a bridge call. Trigger even without "DOCA DPDK Bridge": "how do I add DOCA Flow to my DPDK app", "make a DPDK port visible to DOCA", "the…
Its SKILL.md is about 3.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 8 other files (for example `BENCHMARK.md`, `CAPABILITIES.md` and `SKILLCARD.yaml`). Compatibility notes: 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, plus a separate…
It sits in Development. The repository describes itself as: Agent Skills for NVIDIA products — install into Claude Code, Codex, and other coding agents to run Physical AI, robotics, simulation, CUDA, and RAG workflows end to end. The licence is Apache-2.0.
3 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 0e0d506. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
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, plus a separate DPDK install whose version falls within the bridge's matched-pair window. Reads the user's local install via `pkg-config doca-dpdk-bridge` and `pkg-config libdpdk`, and inspects /opt/mellanox/doca/{lib,include,samples,applications}.
From compatibility in the SKILL.md frontmatter.
Doca Dpdk Bridge loads about 3.8k tokens when it runs. Until then it costs about 219 tokens; SKILL.md has 1,724 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from NVIDIA/skills at commit 0e0d506, republished under its Apache-2.0 licence (© NVIDIA). 1,724 words, ~3,834 tokens.
.claude/skills/doca-dpdk-bridge/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.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 if the user wants to do something
(configure / build / modify / run / test / debug); open
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 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 instead — the bridge exists
for the interop case, not the start-fresh case.
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.
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 modesTASKS.md ## configure step 3.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
bridge-objects table + the binding workflow in
TASKS.md ## configure step 4.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 modesTASKS.md ## modify.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 compatibilityTASKS.md ## configure step 1.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
bridge-vs-native row + the deferred-verbs note in
TASKS.md ## Deferred task verbs.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 taxonomyTASKS.md ## debug that escalates to
doca-debug.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)
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.
Load this skill when the user is doing hands-on DOCA DPDK Bridge work, in any language. Concretely:
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.doca_dev (via
doca_dpdk_port_probe / doca_dpdk_port_as_dev) so DOCA Core
/ DOCA Flow can operate on the same physical port.DOCA_ERROR_* returned from a bridge
call (lifecycle vs. permission vs. capability vs. DPDK-port-not-
registered vs. mbuf-conversion-failed) and the layered DPDK ↔
DOCA stack underneath.doca-eth or doca-dpdk-bridge?"
and the agent needs the path-selection rule.Do not load this skill for general DOCA orientation, install
of DOCA itself, fresh DOCA-native packet I/O (use
doca-eth), flow-rule programming on
its own (use doca-flow), host ↔ DPU
control messaging (use doca-comch),
or RDMA data movement (use doca-rdma).
For DOCA documentation orientation, use
doca-public-knowledge-map.
This is a thin loader. The body keeps only the orientation needed to pick the right next file. The substantive bridge- specific material lives in two companion files:
CAPABILITIES.md — what the DOCA DPDK Bridge can express on
this version: the bridge-vs-native selection rule (when to
use doca-dpdk-bridge vs native doca-eth), the
bridge-object surface (DPDK-port-id ↔ doca_dev mapping, the
doca_dpdk_mempool mbuf ↔ DOCA-buf conversion), the
capability-query surface (the single
doca_dpdk_cap_is_rep_port_supported), the bridge error taxonomy
(mapped onto the cross-library DOCA_ERROR_* set), the
observability surface (DPDK-side counters + DOCA-side PE
events), and the safety policy that gates the matched-pair
DPDK ↔ DOCA version coupling, the EAL-must-be-up
precondition, and DPDK-side privileges.TASKS.md — step-by-step workflows for the six in-scope
bridge verbs: configure, build, modify, run, test,
debug. Plus a Deferred task verbs block that points
out-of-scope questions at the right next skill, and a
Command appendix of the recurring commands the agent
reaches for.The skill assumes a host or BlueField where DOCA AND DPDK are
already installed at the standard locations and the user has the
privileges their public install profile expects (typically sudo
or mlnx-group membership for DOCA, plus the DPDK-side
privileges to mount hugepages, bind PCIe ports, and open the
target rte_eth device). It does not cover installing DOCA —
that path goes through doca-setup;
it does not cover installing or learning DPDK itself — that
belongs in upstream DPDK documentation reachable via
doca-public-knowledge-map.
This skill is agent guidance, not a samples or templates bundle. To keep the boundary clean, it deliberately does not contain — and pull requests should not add:
/opt/mellanox/doca/samples/doca_flow/ (e.g. flow_common.c,
which calls doca_dpdk_port_probe() / doca_dpdk_port_as_dev()),
plus the canonical reference applications that pair DPDK +
DOCA Flow (see
doca-public-knowledge-map
for the reference-applications index). The agent's job is to
route the user to those files and prescribe a minimum-diff
modification on them via the universal modify-a-sample
workflow in
doca-programming-guide,
layered with the bridge-specific overrides in
TASKS.md ## modify.meson.build,
CMakeLists.txt, Cargo.toml, …) parked inside the skill.
The agent constructs the build manifest in the user's project
directory against the user's installed DOCA + DPDK, where
pkg-config --modversion doca-dpdk-bridge and
pkg-config --modversion libdpdk are the source of truth.samples/, bindings/, or reference/ subtree of any
kind. A mock or incomplete artifact in this skill's tree, even
one labeled "reference", is misleading: users will read it as
buildable.SKILL.md first to confirm the user's question is
in scope (existing DPDK app + wants DOCA on top — not fresh).Both companion files cross-link to each other,
doca-version for the canonical
DOCA version-handling rules,
doca-eth for the start-fresh path that
is the bridge's deliberate alternative,
doca-flow for the steering library
that is the most common reason to use this bridge in the first
place, and
doca-public-knowledge-map
whenever the right answer is "look it up in the public docs or
the installed package layout" rather than "bridge-specific
guidance".
doca-public-knowledge-map —
the routing table for every public DOCA documentation source
and the on-disk layout of an installed DOCA package. The
bridge URL slug is DOCA-DPDK-Bridge. Reference applications
that pair DPDK + DOCA Flow (the canonical adopters of this
bridge) are reachable from the same map's reference-
applications index.doca-setup — env preparation,
install verification, hugepage mounts (DPDK requirement),
port-state checks (devlink dev show, ip link), permission
and group-membership requirements for opening a doca_dev
AND for binding PCIe ports under DPDK. This skill assumes its
preconditions are satisfied.doca-version — canonical
DOCA version-handling rules. This skill's ## Version compatibility cross-links the four-way match rule and adds
only the bridge-specific overlay (DPDK ↔ DOCA matched-pair
coupling).doca-structured-tools-contract —
the bundle's structured-tools precedence rule (detect / prefer
/ fall back / report). The Command appendix in
TASKS.md honors this contract.doca-programming-guide —
general DOCA programming patterns shared by every library:
the canonical pkg-config + meson build pattern, the
universal modify-a-shipped-sample first-app workflow, the
universal lifecycle, the cross-library DOCA_ERROR_*
taxonomy, and the program-side debug order. This skill layers
bridge specifics on top.doca-eth — the alternative path
for users starting fresh: pure DOCA-native queue I/O via
doca_eth_rxq / doca_eth_txq with no DPDK in the picture.
The bridge exists because migrating an existing DPDK app to
doca-eth is often the wrong tradeoff; for a new project
with no DPDK lock-in, doca-eth is the right choice.doca-flow — the steering library
that is the most common reason a DPDK app reaches for this
bridge. The bridge binds a DPDK port id to a doca_dev;
DOCA Flow programs steering rules onto that doca_dev. The two
libraries are designed to compose.doca-debug — the cross-cutting
debug ladder (install / version / build / link / runtime /
program / driver). Bridge-specific debug (DPDK ↔ DOCA version
drift, port-not-registered symptoms, mbuf-conversion failures)
overlays on top of that ladder.© NVIDIA, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 7 other files in skills/doca-dpdk-bridge of NVIDIA/skills.
Open the folder on GitHubat commit 0e0d506
Doca Dpdk Bridge next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Doca Dpdk Bridge this skillNVIDIA/skills | 3.5k | — | ~3.8k | Automated safety check: Pass | Apache-2.0 | |
| Finishing a Development Branchobra/superpowers | 296k | 5 repos | ~1.9k | Automated safety check: Pass | MIT | |
| Typescript Advanced Typesrolling-scopes/rsschool-app | 10k | 24 repos | ~4.2k | Automated safety check: Pass | MPL-2.0 | |
| PR Babysitteropeninterpreter/openinterpreter | 69k | 3 repos | ~4.2k | Automated safety check: Pass | Apache-2.0 | |
| Code Review ChecklistshareAI-lab/learn-claude-code | 78k | 5 repos | ~1.1k | Automated safety check: Pass | MIT | |
| Greplooponyx-dot-app/onyx | 32k | 4 repos | ~3.3k | Automated safety check: Pass | MIT |
obra/superpowers
Walks the last step of a branch: confirm tests pass, detect the git environment, ask how to integrate, carry out your choice and clean up the worktree.
rolling-scopes/rsschool-app
Master TypeScript's advanced type system including generics, conditional types, mapped types, template literals, and utility types for building type-safe applications.
openinterpreter/openinterpreter
Watches an open GitHub pull request until it merges, handling review comments, diagnosing CI failures and retrying flaky checks along the way.
shareAI-lab/learn-claude-code
Reviews code against a five-part checklist covering security, correctness, performance, maintainability and testing, and reports findings in a fixed format.
onyx-dot-app/onyx
Iteratively improves a PR (GitHub), MR (GitLab), or shelved changelist (Perforce) until Greptile gives it a 5/5 confidence score with zero unresolved comments.
akash-network/node
Behavioral guidelines to reduce common LLM coding mistakes. An agent skill from akash-network/node.
NVIDIA/skills
A skill your agent uses when the user wants to deploy, run, debug, tear down, or call the REST API of the RTVI-CV 2D detection / tracking microservice.
NVIDIA/skills
Generates, validates, compares and explains HOLOLINK_def.svh macro files for the HSB IP, using bundled Python scripts and asking before it writes anything.
NVIDIA/skills
Runs and validates an end-to-end Mission Control demo in a locally installed Isaac Sim, with a Nova Carter robot driven through a Python server.
NVIDIA/skills
Orchestrates defect image generation for PCBA, metal surface and glass inspection with NVIDIA Cosmos AnomalyGen on OSMO, from cold-start Day 0 to real-photo Day 1 labeling.
NVIDIA/skills
Orchestrates video data augmentation and auto-labeling workflows on OSMO, from flow selection and preflight checks to submission, monitoring and output download.
NVIDIA/skills
Runs NVIDIA TAO Data Services KPI analysis on object detection results, comparing predictions to ground truth and writing per-class precision, recall and AP to a CSV.
Categories
A skill your agent uses when the user has an existing DPDK application and is adding DOCA capabilities in-place — most commonly DOCA Flow hardware steering — without rewriting the data-plane in…. Doca Dpdk Bridge is an agent skill from NVIDIA/skills, published by the product's own GitHub organization. Use this skill when the user has an existing DPDK application and is adding DOCA capabilities in-place — most commonly DOCA Flow hardware steering — without rewriting the data-plane in DOCA-native form: binding a DPDK port id to a docadev (docadpdkportprobe / docadpdkportasdev), converting rtembuf ↔ docabuf, querying docadpdkcapisrepportsupported, or debugging DOCAERROR from a bridge call.
Doca Dpdk Bridge fits situations like: converting rtembuf ↔ docabuf; querying docadpdkcapisrepportsupported; debugging DOCAERROR from a bridge call; even without DOCA DPDK Bridge: how do I add DOCA Flow to my DPDK app.
Run `npx skills add NVIDIA/skills --skill doca-dpdk-bridge -a claude-code`. Or copy the skill folder (skills/doca-dpdk-bridge in NVIDIA/skills) into .claude/skills/doca-dpdk-bridge in your project. Claude Code loads it when a task matches its description.
Run `npx skills add NVIDIA/skills --skill doca-dpdk-bridge -a codex`. Or copy the skill folder (skills/doca-dpdk-bridge in NVIDIA/skills) into .agents/skills/doca-dpdk-bridge in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add NVIDIA/skills --skill doca-dpdk-bridge -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/doca-dpdk-bridge, .gemini/skills/doca-dpdk-bridge, .github/skills/doca-dpdk-bridge and .opencode/skills/doca-dpdk-bridge in your project.
SKILL.md names no scripts, command-line tools or credentials: Doca Dpdk Bridge is instructions for the agent only. Compatibility (from SKILL.md): 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, plus a separate DPDK install whose version falls within the bridge's matched-pair window. Reads the user's local install via `pkg-config doca-dpdk-bridge` and `pkg-config libdpdk`, and inspects /opt/mellanox/doca/{lib,include,samples,applications}. .
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Doca Dpdk Bridge is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 3.8k tokens (SKILL.md is roughly 15k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Doca Dpdk Bridge: Finishing a Development Branch (obra/superpowers, 296k stars), Typescript Advanced Types (rolling-scopes/rsschool-app, 10k stars), PR Babysitter (openinterpreter/openinterpreter, 69k stars) and Code Review Checklist (shareAI-lab/learn-claude-code, 78k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
NVIDIA (a GitHub organization, an official publisher) maintains it in NVIDIA/skills, which has 3,534 GitHub stars. The repository holds 380 skills in this directory. The repository was last updated on October 7, 2026.
Source: NVIDIA/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.