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antoniopaya22/go-rest-template
Implements concurrent Go patterns using goroutines and channels, designs and builds microservices with gRPC or REST, optimizes Go application performance with pprof, and enforces idiomatic Go with…
A skill your agent uses when the user is doing hands-on DOCA RDMA programming on a BlueField DPU, ConnectX NIC, or DOCA host — bringing up an RDMA context on a docadev, picking a connection method…
$ npx skills add NVIDIA/skills --skill doca-rdma -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install NVIDIA/skills doca-rdma --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-rdma .claude/skills/doca-rdma && 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-rdma" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/doca-rdma into .claude/skills/doca-rdma/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "doca-rdma", 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-rdmaType 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-rdma -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install NVIDIA/skills doca-rdma --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-rdma .agents/skills/doca-rdma && 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-rdma" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/doca-rdma into .agents/skills/doca-rdma/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "doca-rdma", 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-rdma -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install NVIDIA/skills doca-rdma --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-rdma .cursor/skills/doca-rdma && 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-rdma" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/doca-rdma into .cursor/skills/doca-rdma/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "doca-rdma", 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-rdma--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-rdma -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install NVIDIA/skills doca-rdma --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-rdma .gemini/skills/doca-rdma && 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-rdma" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/doca-rdma into .gemini/skills/doca-rdma/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "doca-rdma", 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-rdmaInstalls 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-rdma -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-rdma .github/skills/doca-rdma && 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-rdma" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/doca-rdma into .github/skills/doca-rdma/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "doca-rdma", 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-rdma -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-rdma --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-rdma .opencode/skills/doca-rdma && 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-rdma" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/doca-rdma into .opencode/skills/doca-rdma/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "doca-rdma", 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-rdmaA skill your agent uses when the user is doing hands-on DOCA RDMA programming on a BlueField DPU, ConnectX NIC, or DOCA host — bringing up an RDMA context on a docadev, picking a connection method…
Doca Rdma 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 RDMA programming on a BlueField DPU, ConnectX NIC, or DOCA host — bringing up an RDMA context on a docadev, picking a connection method (RDMA CM, bridge/OOB, or gRPC exchange of docardmaexport()), enabling one of the eleven task types (Send/Receive/Send-Imm, Read/Write/Write-Imm, Atomic CmpSwap/FetchAdd, Get/Set/Add Remote Sync Event), setting matching mmap + RDMA permissions, sizing queues and connections, querying docardmacap, or debugging DOCAERROR from an…
Its SKILL.md is about 3.5k 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 on Linux (Ubuntu 22.04/24.04 or RHEL/SLES) with a BlueField DPU or ConnectX NIC. Resolves the local install and module via pkg-config…
It sits in Backend & APIs, covering gRPC and Protobuf. It works with gRPC. 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 on Linux (Ubuntu 22.04/24.04 or RHEL/SLES) with a BlueField DPU or ConnectX NIC. Resolves the local install and module via `pkg-config --list-all | grep -i doca` and `pkg-config --variable=prefix MODULE`, replacing `MODULE` with the exact name returned by the preceding query. The normal module is the umbrella `doca`, while split installs may expose a per-library module.
From compatibility in the SKILL.md frontmatter.
Doca Rdma loads about 3.5k tokens when it runs. Until then it costs about 251 tokens; SKILL.md has 1,577 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). 1,577 words, ~3,517 tokens.
.claude/skills/doca-rdma/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.When this skill is in scope, the user is asking for DOCA RDMA. The
program you produce must link libdoca_rdma and call the
doca_rdma_* API (directly in C/C++, or through a thin FFI/cgo shim
from another language). Do NOT implement the request with raw
libibverbs / librdmacm / RDMA-CM and call it done. Those move bytes
but completely bypass DOCA — which defeats the entire purpose of using
this library, loses the DOCA programming model (progress engine, task/
event lifecycle, capability discovery, portability across BlueField/
ConnectX generations), and is the single most common failure mode.
"Raw verbs is fewer lines" / "it avoids building a DOCA binding layer"
is not an acceptable reason to bypass DOCA. The correct low-friction
path for a non-C language (Go, Rust, Python, …) is not to re-bind
the whole API — it is to start from a shipped DOCA RDMA sample under
$(pkg-config --variable=prefix doca)/samples/doca_rdma/ (substitute the
module resolved on the target) and wrap its entry functions in
a thin cgo/FFI shim built with #cgo pkg-config: doca (Go) or the
equivalent. That shim is a single small file, not "a large custom
binding layer". See TASKS.md ## build Step 0 and
TASKS.md ## modify.
If pkg-config doca or the DOCA build fails, fix the build (module
name, PKG_CONFIG_PATH, sample path) — do not silently fall back to
verbs. A binary whose ldd shows no libdoca_rdma is a failed
DOCA-RDMA task, regardless of whether bytes moved.
Where to start: This skill assumes DOCA is already installed and
the user is doing hands-on RDMA work on a BlueField / ConnectX /
host with DOCA. 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
RDMA express on this version. If the user has not installed DOCA
yet, route to doca-setup first.
The CLASSES of RDMA 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.
TASKS.md ## configure +
CAPABILITIES.md ## Capabilities and modes
connection-method selection.CAPABILITIES.md ## Capabilities and modesTASKS.md ## modify.CAPABILITIES.md ## Safety policyTASKS.md ## test.doca_rdma_cap_task_*_is_supported against a doca_devinfo) in
CAPABILITIES.md ## Capabilities and modesTASKS.md ## configure.CAPABILITIES.md ## Version compatibilitypkg-config --modversion doca)
pinned in TASKS.md ## configure.DOCA_ERROR_* from an RDMA call mean and which
layer caused it?" — worked example: "DOCA_ERROR_BAD_STATE from
doca_rdma_connection_disconnect". Answered by the RDMA overlay
on the cross-library taxonomy in
CAPABILITIES.md ## Error taxonomyTASKS.md ## debug that escalates to
doca-debug.This skill serves external developers building applications that
consume the DOCA RDMA library — i.e., users whose code calls
doca_rdma_* (directly in C/C++, or through FFI/bindings from
another language) to do RDMA data movement between two sides
(host↔host, host↔BlueField, DPU↔DPU, or SF↔SF on a BlueField). It
is not for NVIDIA developers contributing to DOCA RDMA itself.
Language scope. DOCA RDMA normally ships as a C library inside the
umbrella doca pkg-config module (public header doca_rdma.h, shared
object libdoca_rdma.so); split installs may expose a per-library module.
Always discover the module on the target (pkg-config --list-all | grep -i doca) rather than assuming either layout. The
shipped samples are written in C
(NVIDIA's choice). 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 through FFI
or language-specific bindings; the skill's contribution in that case
is to keep the lifecycle, capability-discovery, permission-matrix,
error-taxonomy, and connection-method guidance language-neutral, and
to route the agent to the public C ABI as the authoritative surface
that any wrapper will eventually call. The non-C deliverable is still
a DOCA program: a thin cgo/FFI shim over the shipped doca_rdma
sample that links libdoca_rdma (#cgo pkg-config: doca) — never a
raw-libibverbs reimplementation chosen to avoid wrapping DOCA (see the
mandate at the top of this file).
Load this skill when the user is doing hands-on DOCA RDMA work, in any language. Concretely:
doca_dev and configuring at
least one task type before doca_ctx_start().doca_rdma_connect_to_addr() / doca_rdma_start_listen_to_port()
/ doca_rdma_connection_accept()), bridge / OOB
(doca_rdma_bridge_*), or gRPC (out-of-band exchange
of doca_rdma_export() output).doca_mmap correctly for the chosen task
type (Read needs RDMA-read + local read-write; Write needs
RDMA-write; Atomic needs RDMA-atomic; Send needs only local
read-write).doca_rdma_set_* and
doca_rdma_cap_get_* to size queues, list lengths, and
transport-type selection.doca_devinfo.DOCA_ERROR_* returned from an RDMA call (lifecycle
vs. permission vs. capability vs. driver-below) and the connection
state-machine transitions (doca_rdma_set_connection_state_callbacks).Do not load this skill for general DOCA orientation, install of
DOCA itself, or non-RDMA library questions. For those, 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 RDMA-specific material lives in two companion files:
CAPABILITIES.md — what RDMA can express on this version: the
eleven task types and their permission matrix, the three
connection methods, transport types (RC baseline and alpha-level
DC for the export/connect CPU-datapath flow — there is no UD) — note
these are the per-QP service
type controlled by doca_rdma_set_transport_type(), NOT the
link-layer (IB vs RoCE) which is inherited from the device
port configuration, the
capability-query surface (doca_rdma_cap_*), the RDMA error
taxonomy (mapped onto the cross-library DOCA_ERROR_* set), the
observability surface (per-task events, connection state callbacks),
and the safety policy that gates permission and export decisions.TASKS.md — step-by-step workflows for the six in-scope RDMA
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 or BlueField where DOCA is already
installed at the standard location and the user has the privileges
their public install profile expects. It does not cover installing
DOCA — that path goes through
doca-setup.
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:
$(pkg-config --variable=prefix doca)/samples/doca_rdma/<name>/
(using the module resolved on the target). 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 RDMA-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, where pkg-config --modversion doca
is the source of truth (resolve the module per TASKS.md ## build
Step 0 — there is normally no separate doca-rdma.pc).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.Both companion files cross-link to each other and to
doca-public-knowledge-map
whenever the right answer is "look it up in the public docs or the
installed package layout" rather than "RDMA-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. Always available
alongside this skill.doca-setup — env preparation,
install verification, and the I have no install yet path with
the public NGC DOCA container. This skill assumes its
preconditions are satisfied.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 RDMA specifics on
top.doca-debug — the cross-cutting
debug ladder (install / version / build / link / runtime /
program / driver). RDMA-specific debug (state-machine transitions,
permission failures, connection callbacks) 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-rdma of NVIDIA/skills.
Open the folder on GitHubat commit 0e0d506
Doca Rdma 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 Rdma this skillNVIDIA/skills | 3.5k | — | ~3.5k | Automated safety check: Pass | Apache-2.0 | |
| Golang Proantoniopaya22/go-rest-template | 172 | 3 repos | ~1.2k | Automated safety check: Pass | MIT | |
| Dev Rulesrust-dd/tako | 162 | — | ~810 | Automated safety check: Pass | MIT | |
| Release WorkflowGoldziher/spikard | 123 | — | ~909 | Automated safety check: Pass | MIT | |
| Using Dotnetnovotnyllc/dotnet-artisan | 233 | — | ~2.3k | Automated safety check: Warn | MIT | |
| GcloudKilo-Org/kilo-marketplace | 189 | — | ~2.9k | Automated safety check: Pass | Apache-2.0 |
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rust-dd/tako
General coding-style rules to apply to every project. An agent skill from rust-dd/tako.
Goldziher/spikard
Release/publish the spikard Rust core crate and CLI end-to-end.
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Detects .NET intent for any C, ASP.NET Core, EF Core, Blazor, MAUI, Uno Platform, WPF, WinUI, SignalR, gRPC, xUnit, NuGet, or MSBuild request from prompt keywords and repository signals (.sln…
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Interacts with Google Cloud services using the gcloud CLI safely and efficiently.
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Works with
Categories
A skill your agent uses when the user is doing hands-on DOCA RDMA programming on a BlueField DPU, ConnectX NIC, or DOCA host — bringing up an RDMA context on a docadev, picking a connection method…. Doca Rdma is an agent skill from NVIDIA/skills, published by the product's own GitHub organization.
Doca Rdma fits situations like: the user is doing hands-on DOCA RDMA programming on a BlueField DPU; DOCA host — bringing up an RDMA context on a docadev; picking a connection method (RDMA CM; GRPC exchange of docardmaexport()).
Run `npx skills add NVIDIA/skills --skill doca-rdma -a claude-code`. Or copy the skill folder (skills/doca-rdma in NVIDIA/skills) into .claude/skills/doca-rdma in your project. Claude Code loads it when a task matches its description.
Run `npx skills add NVIDIA/skills --skill doca-rdma -a codex`. Or copy the skill folder (skills/doca-rdma in NVIDIA/skills) into .agents/skills/doca-rdma 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-rdma -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-rdma, .gemini/skills/doca-rdma, .github/skills/doca-rdma and .opencode/skills/doca-rdma in your project.
SKILL.md names no scripts, command-line tools or credentials: Doca Rdma is instructions for the agent only. Compatibility (from SKILL.md): Requires DOCA SDK on Linux (Ubuntu 22.04/24.04 or RHEL/SLES) with a BlueField DPU or ConnectX NIC. Resolves the local install and module via `pkg-config --list-all | grep -i doca` and `pkg-config --variable=prefix MODULE`, replacing `MODULE` with the exact name returned by the preceding query. The normal module is the umbrella `doca`, while split installs may expose a per-library module. .
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 Rdma 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 3.5k tokens (SKILL.md is roughly 14k 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 Rdma: Golang Pro (antoniopaya22/go-rest-template, 172 stars), Dev Rules (rust-dd/tako, 162 stars), Release Workflow (Goldziher/spikard, 123 stars) and Using Dotnet (novotnyllc/dotnet-artisan, 233 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.