Vercel Composition Patterns
supabase/supabase
React composition patterns that scale. An agent skill from supabase/supabase.
A skill your agent uses when the user is doing hands-on DOCA Device Emulation on a BlueField DPU — exposing a custom emulated PCIe device the host sees as a real peripheral while DPU-side code runs…
$ npx skills add NVIDIA/skills --skill doca-devemu -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install NVIDIA/skills doca-devemu --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-devemu .claude/skills/doca-devemu && 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-devemu" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/doca-devemu into .claude/skills/doca-devemu/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "doca-devemu", 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-devemuType 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-devemu -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install NVIDIA/skills doca-devemu --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-devemu .agents/skills/doca-devemu && 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-devemu" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/doca-devemu into .agents/skills/doca-devemu/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "doca-devemu", 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-devemu -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install NVIDIA/skills doca-devemu --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-devemu .cursor/skills/doca-devemu && 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-devemu" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/doca-devemu into .cursor/skills/doca-devemu/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "doca-devemu", 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-devemu--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-devemu -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install NVIDIA/skills doca-devemu --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-devemu .gemini/skills/doca-devemu && 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-devemu" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/doca-devemu into .gemini/skills/doca-devemu/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "doca-devemu", 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-devemuInstalls 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-devemu -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-devemu .github/skills/doca-devemu && 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-devemu" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/doca-devemu into .github/skills/doca-devemu/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "doca-devemu", 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-devemu -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-devemu --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-devemu .opencode/skills/doca-devemu && 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-devemu" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/doca-devemu into .opencode/skills/doca-devemu/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "doca-devemu", 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-devemuA skill your agent uses when the user is doing hands-on DOCA Device Emulation on a BlueField DPU — exposing a custom emulated PCIe device the host sees as a real peripheral while DPU-side code runs…
Doca Devemu is an agent skill from NVIDIA/skills, published by the product's own GitHub organization. Use this skill when the user is doing hands-on DOCA Device Emulation on a BlueField DPU — exposing a custom emulated PCIe device the host sees as a real peripheral while DPU-side code runs the backend, picking the sub-library (PCI Generic, virtio-net, virtio-fs), wiring the per-sub-library Core context plus doorbell / DMA primitives, querying docadevemucap, or debugging DOCAERROR from a docadevemu call. Trigger even when the user does not say "devemu" — typical implicit phrasings include "expose a custom PCIe…
Its SKILL.md is about 2.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 10 other files, including reference files (for example `BENCHMARK.md`, `CAPABILITIES.md` and `SKILLCARD.yaml`). Compatibility notes: Requires DOCA SDK installed at /opt/mellanox/doca on BOTH the host AND the BlueField DPU (Ubuntu 22.04/24.04 or RHEL/SLES), with the per-sub-library…
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 67a13c0. 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 BOTH the host AND the BlueField DPU (Ubuntu 22.04/24.04 or RHEL/SLES), with the per-sub-library firmware-level emulation type (PCI Generic / virtio-net / virtio-fs) enabled in BlueField firmware and the host kernel shipping the matching standard driver (virtio_net / virtio_fs / generic PCIe). Reads the local install via the per-sub-library pkg-config module and inspects /opt/mellanox/doca/{lib,include,samples/doca_devemu}.
From compatibility in the SKILL.md frontmatter.
Doca Devemu loads about 2.7k tokens when it runs, and up to ~5.2k if it reads all its reference files. Until then it costs about 252 tokens; SKILL.md has 1,205 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 noted patterns worth knowing about, such as sudo or a known installer.
install profile expects (in particular, sudo on the DPU sideAutomated 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 67a13c0, republished under its Apache-2.0 licence (© NVIDIA). 1,205 words, ~2,742 tokens.
.claude/skills/doca-devemu/SKILL.md (or your agent's skills folder). This skill also uses 8 other files; get the full folder from GitHub.Where to start: This skill assumes DOCA is already installed
on the host AND on the BlueField, the user is doing hands-on
emulated-PCIe-device work from the DPU side (writing the
backend that the host's kernel driver will talk to over the
emulated PCIe surface), and the user knows which CLASS of
emulated device they want to build. Open
TASKS.md if the user wants to do something
(configure / build / modify / run / test / debug); open
CAPABILITIES.md when the question is
what can Device Emulation express on this DOCA version + this
BlueField generation + this firmware. If the user has not
installed DOCA yet, route to
doca-setup first. Before
anything else, the agent must route the user to the right
sub-library — DOCA Device Emulation is an umbrella that
covers PCI Generic (raw PCIe device emulation), virtio-net
(emulated virtio network device), and virtio-fs (emulated
virtio filesystem device); each sub-library has its own
context, its own pkg-config module, and its own capability
surface. The sub-library selection rule lives in
CAPABILITIES.md ## Capabilities and modes.
If the user wants a packaged solution rather than a library
(e.g. "I want NVMe SNAP on my host without writing the
backend myself", or "I want a managed virtio-net daemon"),
route via
doca-public-knowledge-map
to the DOCA SNAP Service / DOCA Virtio-net Service guides
— those services are built on top of this library and are a
different artifact than what this skill covers.
This skill serves external developers building applications
that consume the DOCA Device Emulation library — i.e., users
whose DPU-side code calls doca_devemu_pci_*,
doca_devemu_virtio_*, or doca_devemu_vfs_* (directly
in C / C++, or through FFI / bindings from another language)
to expose an emulated PCIe device to the host that the host's
existing kernel drivers can drive as if it were a real PCIe
peripheral. It is not for NVIDIA developers contributing to
DOCA Device Emulation itself, and it is not the right
artifact for users who want a packaged emulated-device daemon
they do not have to write the backend for (the DOCA SNAP
Service and the DOCA Virtio-net Service are the packaged
options that build on top of this library).
Language scope. DOCA Device Emulation ships as a C library;
this skill covers three sub-libraries end-to-end. Select the exact
installed pkg-config module for the user's emulation class (see
the sub-library selection table in
CAPABILITIES.md ## Capabilities and modes).
The shipped samples under
/opt/mellanox/doca/samples/doca_devemu/ are
written in C. C and C++ consumers are the canonical case and
the worked examples in TASKS.md assume that path.
Other-language consumers (Rust, Go, Python, …) consume the
same *.so files through FFI or language-specific bindings;
the skill's contribution in that case is to keep the
sub-library selection, umbrella lifecycle, capability-discovery,
permission, and error-taxonomy guidance language-neutral, and
to route the agent to the public C ABI as the authoritative
surface that any wrapper will eventually call.
Load this skill when the user is doing hands-on DOCA Device Emulation work from the DPU side, in any language. Concretely:
doca_devemu_pci_cap_*, doca_devemu_virtio_cap_*, or
doca_devemu_vfs_cap_* query families against the
active doca_devinfo BEFORE assuming a particular feature
bit or device characteristic is available.doca-devemu
yourself and adopting a packaged service (DOCA SNAP Service
/ DOCA Virtio-net Service) that already wraps this library.DOCA_ERROR_* returned from a doca_devemu_*
call — in particular disambiguating firmware-level
emulation type not enabled from BlueField generation does
not support this sub-library at all from DPU-side process
lacks privilege from host-side kernel driver did not bind.Do not load this skill for general DOCA orientation,
install of DOCA itself, the host-side kernel driver for the
emulated device class (virtio-net / virtio-blk / virtio-fs
kernel drivers ship with the host kernel and are not part of
DOCA), the packaged SNAP / Virtio-net services (they are
separate artifacts with their own service guides), or for
standard NIC behavior on the BlueField data path (use
doca-flow +
doca-eth instead — Device Emulation
is for custom emulated devices, not for shaping the
BlueField's built-in NIC personality).
This is a thin loader. The body keeps only the orientation needed to pick the right next file. The substantive Device Emulation-specific material lives in two companion files:
CAPABILITIES.md — what Device Emulation can express on
this version + this BlueField generation + this firmware:
the umbrella architecture (host sees an emulated PCIe
device; DPU runs the backend), the sub-library selection
rule (PCI Generic vs virtio-net vs virtio-fs), the per-
sub-library Core context shape, the doorbell / DMA
primitives that bridge host ↔ DPU, the per-sub-library
capability-query family (doca_devemu_*_cap_*), the
per-sub-library pkg-config module name, the Device
Emulation error taxonomy mapped onto the cross-library
DOCA_ERROR_* set, the observability surface, the
library-vs-packaged-service path-selection rule, and the
safety policy that gates env preconditions (DPU-side
privileges, BlueField firmware-level emulation type
enablement, BlueField generation actually supporting the
emulation class).TASKS.md — step-by-step workflows for the six in-scope
Device Emulation verbs: configure, build, modify,
run, test, debug. Plus a Deferred task verbs block
that points out-of-scope questions at the right next skill.The skill assumes a host + BlueField pair where DOCA is
already installed at the standard location on both sides, the
BlueField firmware has the emulation type the user wants to
build enabled, the user has the privileges their public
install profile expects (in particular, sudo on the DPU side
to perform PCIe-level emulation), and the host kernel ships
the standard driver for the emulated device class the user is
building. It does not cover installing DOCA, flipping
firmware-level configuration, or installing host-side kernel
drivers — those paths go through
doca-setup.
SKILL.md first to confirm the user's question
is in scope (custom emulated PCIe device built on the
doca-devemu library, not the packaged SNAP /
Virtio-net services, not the host-side kernel driver, not
standard NIC behavior).pkg-config modules, the library-vs-
packaged-service path-selection rule, the error taxonomy,
the observability surface, and the safety policy, see
CAPABILITIES.md.Both companion files cross-link to each other,
doca-version for the
canonical DOCA version-handling rules (with the Device
Emulation overlay that the chosen sub-library's pkg-config
module plus the firmware-level emulation slot plus the
doca_devemu_*_cap_* query are all part of "is this
emulation supported here"), and
doca-public-knowledge-map
whenever the right answer is "look it up in the public DOCA
Device Emulation umbrella guide, the per-sub-library guide
linked from it, the DOCA SNAP / Virtio-net Service guide, or
in the on-disk install layout" rather than "Device Emulation-
specific guidance".
© 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 8 other files (references) in skills/doca-devemu of NVIDIA/skills.
Open the folder on GitHubat commit 67a13c0
Doca Devemu 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 Devemu this skillNVIDIA/skills | 3.5k | — | ~2.7k | Automated safety check: Notes | Apache-2.0 | |
| Vercel Composition Patternssupabase/supabase | 111k | 59 repos | ~726 | Automated safety check: Pass | MIT | |
| Finishing a Development Branchobra/superpowers | 296k | 5 repos | ~1.9k | Automated safety check: Pass | MIT | |
| Typescript Advanced Typesrolling-scopes/rsschool-app | 10k | 25 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 |
supabase/supabase
React composition patterns that scale. An agent skill from supabase/supabase.
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.
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 is doing hands-on DOCA Device Emulation on a BlueField DPU — exposing a custom emulated PCIe device the host sees as a real peripheral while DPU-side code runs…. Doca Devemu is an agent skill from NVIDIA/skills, published by the product's own GitHub organization. Use this skill when the user is doing hands-on DOCA Device Emulation on a BlueField DPU — exposing a custom emulated PCIe device the host sees as a real peripheral while DPU-side code runs the backend, picking the sub-library (PCI Generic, virtio-net, virtio-fs), wiring the per-sub-library Core context plus doorbell / DMA primitives, querying docadevemucap, or debugging DOCAERROR from a docadevemu call.
Doca Devemu fits situations like: picking the sub-library (PCI Generic; wiring the per-sub-library Core context plus doorbell / DMA primitives; querying docadevemucap; debugging DOCAERROR from a docadevemu call.
Run `npx skills add NVIDIA/skills --skill doca-devemu -a claude-code`. Or copy the skill folder (skills/doca-devemu in NVIDIA/skills) into .claude/skills/doca-devemu in your project. Claude Code loads it when a task matches its description.
Run `npx skills add NVIDIA/skills --skill doca-devemu -a codex`. Or copy the skill folder (skills/doca-devemu in NVIDIA/skills) into .agents/skills/doca-devemu 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-devemu -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-devemu, .gemini/skills/doca-devemu, .github/skills/doca-devemu and .opencode/skills/doca-devemu in your project.
SKILL.md names no scripts, command-line tools or credentials: Doca Devemu is instructions for the agent only. Compatibility (from SKILL.md): Requires DOCA SDK installed at /opt/mellanox/doca on BOTH the host AND the BlueField DPU (Ubuntu 22.04/24.04 or RHEL/SLES), with the per-sub-library firmware-level emulation type (PCI Generic / virtio-net / virtio-fs) enabled in BlueField firmware and the host kernel shipping the matching standard driver (virtio_net / virtio_fs / generic PCIe). Reads the local install via the per-sub-library pkg-config module and inspects /opt/mellanox/doca/{lib,include,samples/doca_devemu}. .
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 notes only (runs commands with sudo), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
Doca Devemu 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 2.7k tokens (SKILL.md is roughly 11k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.5k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Doca Devemu: Vercel Composition Patterns (supabase/supabase, 111k stars), Finishing a Development Branch (obra/superpowers, 296k stars), Typescript Advanced Types (rolling-scopes/rsschool-app, 10k stars) and PR Babysitter (openinterpreter/openinterpreter, 69k 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 3,539 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.