Create Invoke Task
DataDog/datadog-agent
Create a new Python invoke task for the dda CLI. An agent skill from DataDog/datadog-agent.
A skill your agent uses when the user is invoking docaspcxcc (the host-side CLI under /opt/mellanox/doca/tools/) to load, parameterize, start, observe, or stop a Programmable Congestion Control…
$ npx skills add NVIDIA/skills --skill doca-spcx-cc -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install NVIDIA/skills doca-spcx-cc --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-spcx-cc .claude/skills/doca-spcx-cc && 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-spcx-cc" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/doca-spcx-cc into .claude/skills/doca-spcx-cc/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "doca-spcx-cc", 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-spcx-ccType 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-spcx-cc -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install NVIDIA/skills doca-spcx-cc --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-spcx-cc .agents/skills/doca-spcx-cc && 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-spcx-cc" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/doca-spcx-cc into .agents/skills/doca-spcx-cc/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "doca-spcx-cc", 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-spcx-cc -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install NVIDIA/skills doca-spcx-cc --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-spcx-cc .cursor/skills/doca-spcx-cc && 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-spcx-cc" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/doca-spcx-cc into .cursor/skills/doca-spcx-cc/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "doca-spcx-cc", 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-spcx-cc--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-spcx-cc -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install NVIDIA/skills doca-spcx-cc --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-spcx-cc .gemini/skills/doca-spcx-cc && 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-spcx-cc" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/doca-spcx-cc into .gemini/skills/doca-spcx-cc/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "doca-spcx-cc", 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-spcx-ccInstalls 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-spcx-cc -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-spcx-cc .github/skills/doca-spcx-cc && 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-spcx-cc" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/doca-spcx-cc into .github/skills/doca-spcx-cc/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "doca-spcx-cc", 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-spcx-cc -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-spcx-cc --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-spcx-cc .opencode/skills/doca-spcx-cc && 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-spcx-cc" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/doca-spcx-cc into .opencode/skills/doca-spcx-cc/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "doca-spcx-cc", 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-spcx-ccA skill your agent uses when the user is invoking docaspcxcc (the host-side CLI under /opt/mellanox/doca/tools/) to load, parameterize, start, observe, or stop a Programmable Congestion Control…
Doca Spcx Cc is an agent skill from NVIDIA/skills, published by the product's own GitHub organization. Use this skill when the user is invoking docaspcxcc (the host-side CLI under /opt/mellanox/doca/tools/) to load, parameterize, start, observe, or stop a Programmable Congestion Control (SPCX) algorithm on a BlueField with a DPA processor against a live RDMA / RoCE fabric, or picking SPCX vs the established doca-pcc surface. Trigger even when the user does not say "DOCA SPCX" or "docaspcxcc" — typical implicit phrasings include "I want to write a custom RTT-based CC algorithm for my RoCE fabric", "my SPCX session…
Its SKILL.md is about 4.9k 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 the SPCX optional component, a BlueField exposing its DPA…
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 Linux (Ubuntu 22.04/24.04 or RHEL/SLES) with the SPCX optional component, a BlueField exposing its DPA processor with the firmware custom-PCC slot enabled, the DPACC compiler installed and version-matched, and a non-prod RDMA / RoCE fabric with controllable contention reachable for evaluation. Probes via `pkg-config doca-pcc` and `doca_spcx_cc --help`.
From compatibility in the SKILL.md frontmatter.
Doca Spcx Cc loads about 4.9k tokens when it runs. Until then it costs about 259 tokens; SKILL.md has 2,207 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 67a13c0, republished under its Apache-2.0 licence (© NVIDIA). 2,207 words, ~4,941 tokens.
.claude/skills/doca-spcx-cc/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 is a tool skill for invoking
doca_spcx_cc — the documented host-side CLI that exercises
an SPCX-class Programmable Congestion Control algorithm on a
live RDMA / RoCE fabric driven by a BlueField with a DPA
processor. Open TASKS.md and start at
## configure for the
SPCX-vs-PCC-vs-factory-firmware decision tree (load-bearing
gate before any code), the role decision (RP / NP), the
DPA-side algorithm authoring vs consumption split, and the
live-link / contention precondition. Open
CAPABILITIES.md when the question is
what does SPCX let me express that doca-pcc does not,
what is the SPCX-vs-PCC tradeoff, what runtime metrics
does the tool surface, or what is the safety posture for
loading a custom CC algorithm on a production fabric. If
DOCA is not installed yet, route to
doca-setup first.
This skill is the next-gen programmable-CC surface.
doca-pcc is the established
PCC story; SPCX is the documented extension that authors
SPCX-class algorithms on the same DPA hardware substrate.
doca-pcc-ztr-rttcc-algo
is one shipped reference algorithm (zero-touch RTT-based
CC) that can be loaded through either the PCC or SPCX path
depending on the install and the user's algorithm choice;
the agent surfaces this decision tree explicitly per
CAPABILITIES.md ## Capabilities and modes.
The CLASSES of doca_spcx_cc questions this skill is built
to answer, each with one worked example. The class is the
load-bearing piece; the worked example is one instance.
doca-pcc for my custom CC
algorithm?" — worked example: "I want to write a new
RTT-based congestion-control algorithm for my RoCE
fabric — which surface do I target?". Answered by the
SPCX-vs-PCC-vs-factory-firmware decision tree in
CAPABILITIES.md ## Capabilities and modesTASKS.md ## configure step 1.CAPABILITIES.md ## Capabilities and modesTASKS.md ## test.doca_pcc --status reports Active and a stable session, but my
RoCE flows look like the factory algorithm is still in
charge". Answered by the live-link / contention rule
in
CAPABILITIES.md ## Capabilities and modesTASKS.md ## test +
TASKS.md ## debug (route through
the layered error taxonomy before blaming the
algorithm).CAPABILITIES.md ## Safety policy
(heavily cross-linked to
doca-hardware-safety CAPABILITIES.md ## Safety policy):
blast-radius bounded, observability gate proven, OOB
reachable, factory-PCC rollback rehearsed, escalation
path documented before any production cutover.doca_spcx_cc on my install, and is it paired
with the matching doca-pcc library and DPACC compiler
version?" — worked example: "is the SPCX surface
available on my DOCA install?". Answered by the
version-overlay in
CAPABILITIES.md ## Version compatibility,
which redirects to the canonical
doca-version chain
and adds the tool ↔ doca-pcc library ↔ DPACC
compiler ↔ firmware custom-PCC slot match rule.doca_spcx_cc exits with
DOCA_PCC_PS_ERROR on start". Answered by the
layered error taxonomy in
CAPABILITIES.md ## Error taxonomyTASKS.md ## debug.This skill serves external developers, platform operators, and AI agents authoring, loading, and evaluating an SPCX-class Programmable Congestion Control algorithm on a BlueField with a DPA processor, against a live RDMA / RoCE fabric. Concretely:
doca-pcc-ztr-rttcc-algo
on the SPCX path when the install + algorithm support
it) and needs the operator-side harness to load,
parameterize, start, observe, and stop the algorithm.It is not for users debugging the doca_spcx_cc
binary itself, not a substitute for the live public
DOCA SPCX / DOCA PCC programming guides, not the
right place for the DPA-side algorithm authoring detail
(that path goes through the public DOCA SPCX programming
guide and the
doca-pcc +
doca-dpa skills), and
not the right place for default factory PCC
configuration (no host-side library or SPCX tool needed;
route via
doca-public-knowledge-map).
The tool is shipped as a CLI binary under
/opt/mellanox/doca/tools/, not a library you link
against. The skill uses the same kind: tool
three-file shape as the rest of the bundle so the
agent's task-verb contract is uniform across libraries,
services, and tools.
doca_spcx_cc is a C host-side CLI that links the
host-side doca-pcc
library and loads a DPA-side SPCX algorithm image built
by the DPACC compiler. The algorithm body is a separate
DPA-side translation unit written in the language DPACC
accepts. The skill keeps workflow guidance
language-neutral and routes per-language questions to
the public DOCA SPCX / DOCA PCC / DPACC guides via
doca-public-knowledge-map.
Load this skill when the user is — or the agent needs to
— invoke doca_spcx_cc on a real host with DOCA
installed, paired with a BlueField that has its DPA
processor exposed AND the firmware custom-PCC slot
enabled, against a port carrying RDMA / RoCE traffic with
actual contention. Concretely:
doca-pcc paths for the same
algorithm class on the same install (where both paths
are available) and deciding which to commit to.CAPABILITIES.md ## Safety policy.DOCA_PCC_PS_ERROR or a silent-no-effect
symptom against the layered error taxonomy.Do not load this skill for general DOCA orientation,
DPA-side algorithm authoring detail, raw cycle profiling
of the DPA, the factory PCC algorithm shipped in the
firmware, or DOCA install. For those, route to
doca-public-knowledge-map,
doca-pcc,
doca-dpa, or
doca-setup.
This is a thin loader. Substantive material lives in two companion files:
CAPABILITIES.md — what SPCX expresses that PCC does
not (and where the surfaces overlap), the
SPCX-vs-PCC-vs-factory-firmware decision tree, the
authoring vs consumption split, the role decision
(RP / NP), the documented probe-packet format axis,
the live-link / contention precondition rule (the
load-bearing safety invariant — "a CC algorithm has
no signal under no contention"), the runtime
observability surface (per-port / per-flow trace
formats + the host-side status surface), the
triple-axis precondition rule
(doca-pcc: DPA-capable
BlueField + firmware custom-PCC slot enabled +
doca_pcc_cap_* agreement) extended with SPCX-specific
availability, the version overlay (tool ↔ library ↔
DPACC ↔ firmware), the layered error taxonomy
(install / device-binding / fw-slot / DPA-image /
algorithm-precondition / live-link-precondition /
runtime / version / cross-cutting), the observability
surface, and the heavily-overlaid safety posture (a
wrong CC algorithm on production can melt the
fabric).TASKS.md — step-by-step workflows for the in-scope
task verbs: install (host-side DOCA install + DPA
prerequisites + firmware custom-PCC slot), configure
(SPCX-vs-PCC decision + role + algorithm + parametersbuild (route to install —
the host-side tool is shipped; the DPA-side algorithm
is user-built by DPACC), modify (refuse — do not
patch the binary; modify the invocation, algorithm,
and parameters), run (the
prepare → smoke → contention-positive evaluation
flow), test (iterative loop on the replica before
production), debug (walk the error taxonomy),
use (the "safe to roll forward" decision with
evidence + rollback + escalation), plus a Deferred task verbs block.The skill assumes a host where DOCA is already installed, a BlueField with a DPA processor and the firmware-level custom-PCC slot enabled is present and visible, the DPACC compiler is installed at a version matched to the host-side DOCA, the user already knows how (at sketch level) to write the DPA-side SPCX algorithm (or has a shipped reference algorithm to consume), and a non-prod RDMA / RoCE fabric with controllable contention is available for evaluation.
This skill is agent guidance, not a samples or scripts bundle. To keep the boundary clean, it deliberately does not contain — and pull requests should not add:
--help
document. The SPCX surface is the newer of the
programmable-CC surfaces and the documented flag
set evolves; the installed --help is the
authoritative inventory.samples/ or reference/ subtree. This is
a thin loader for a shipped CLI; substantive
material lives on the public page, in --help,
and in
doca-pcc +
doca-dpa.SKILL.md first to confirm the user's
question is in scope (SPCX-side custom CC work,
not factory firmware PCC, not raw DPA cycle
profiling, and not algorithm authoring detail).install, configure, build,
modify, run, test, debug, use — see
TASKS.md.doca-pcc — the
established host-side library for Programmable
Congestion Control. The SPCX tool builds on and
links this library; the SPCX-vs-PCC decision tree
in
CAPABILITIES.md ## Capabilities and modes
is the load-bearing routing rule. Conflating the
two is the most common programmable-CC first-touch
error.doca-pcc-ztr-rttcc-algo
— the shipped reference zero-touch RTT-based CC
algorithm. When the user wants to deploy a
documented reference algorithm via the SPCX path
(rather than author one), this is the
algorithm-side skill paired with this tool's
operator-side workflow.doca-dpa — the
host-side DPA control library the SPCX algorithm's
DPA-side body builds on. For DPA-level questions
(kernel-launch model, DPACC build flags, DPA-side
comms / verbs), this is the skill the agent loads
alongside.doca-rdma — the
library whose RDMA / RoCE flows on the attached
BlueField port the SPCX algorithm is controlling.
Without RDMA traffic in flight and contention on
the fabric, the algorithm has no signal — surface
this precondition with the user before any
evaluation.doca-pcc-counters —
the sibling tool for read-only PCC counter
inspection. SPCX exposes its own runtime
observability surface; the PCC counter tool is the
cheaper "is anything happening on this port"
first step before / during an SPCX evaluation.doca-hardware-safety
— the bundle-wide hardware-safety meta-policy
(pre-flight inventory, OOB requirement,
replica-first, observability-before-workload,
rollback discipline, escalation). The ## Safety policy overlay in this skill is heavily layered
on the meta-policy; deploying a wrong CC algorithm
on a production fabric is a meta-policy STOP
case.doca-public-knowledge-map
— routing to the public DOCA SPCX programming
guide, the public DOCA PCC programming guide, the
public DOCA DPA / DPACC guides, and the rest of
the public DOCA documentation set.doca-version —
canonical DOCA version-handling rules. The
## Version compatibility section in
CAPABILITIES.md is a concise
overlay that redirects here for the body and adds
the tool ↔ doca-pcc library ↔ DPACC ↔ firmware
custom-PCC slot matching rule.doca-setup — env
preparation, install verification, DPACC compiler
install / verification, BlueField firmware
configuration (custom-PCC slot enablement is a
firmware-level setting), and the I have no
install yet path with the public NGC DOCA
container.doca-debug — the
cross-cutting debug ladder. SPCX-specific debug
layers on top of that ladder; cross-link the
captured runtime evidence + counter snapshots
into a doca-debug session when the cause is
below DOCA.doca-structured-tools-contract
— the bundle's detect → prefer → fall back →
report contract for structured helper tools. The
command appendix in TASKS.md
honors this contract.doca-programming-guide
— general DOCA programming patterns shared by
every library / tool surface, including the
cross-library DOCA_ERROR_* taxonomy this
tool's host-side error layer overlays on top of.The default factory PCC algorithms shipped inside
ConnectX firmware are not in scope for this skill —
those work without doca_spcx_cc and are configured
through firmware-level knobs, not through any host-side
library or tool API. Route via
doca-public-knowledge-map.
Conflating the factory PCC story with SPCX is the
single most common programmable-CC first-touch error.
© 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-spcx-cc of NVIDIA/skills.
Open the folder on GitHubat commit 67a13c0
Doca Spcx Cc 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 Spcx Cc this skillNVIDIA/skills | 3.5k | — | ~4.9k | Automated safety check: Pass | Apache-2.0 | |
| Create Invoke TaskDataDog/datadog-agent | 3.8k | — | ~606 | Automated safety check: Notes | Apache-2.0 | |
| Doca CapsNVIDIA/skills | 3.5k | — | ~2.4k | Automated safety check: Pass | Apache-2.0 | |
| Doca VerbsNVIDIA/skills | 3.5k | — | ~4.9k | Automated safety check: Pass | Apache-2.0 | |
| Doca RdmiNVIDIA/skills | 3.5k | — | ~3.8k | Automated safety check: Pass | Apache-2.0 | |
| Doca Pcc CountersNVIDIA/skills | 3.5k | — | ~3k | Automated safety check: Pass | Apache-2.0 |
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A skill your agent uses when the user is invoking docaspcxcc (the host-side CLI under /opt/mellanox/doca/tools/) to load, parameterize, start, observe, or stop a Programmable Congestion Control…. Doca Spcx Cc is an agent skill from NVIDIA/skills, published by the product's own GitHub organization. Use this skill when the user is invoking docaspcxcc (the host-side CLI under /opt/mellanox/doca/tools/) to load, parameterize, start, observe, or stop a Programmable Congestion Control (SPCX) algorithm on a BlueField with a DPA processor against a live RDMA / RoCE fabric, or picking SPCX vs the established doca-pcc surface.
Doca Spcx Cc fits situations like: the user is invoking docaspcxcc (the host-side CLI under /opt/mellanox/doca/tools/) to load; stop a Programmable Congestion Control (SPCX) algorithm on a BlueField with a DPA processor against a live RDMA / RoCE fabric; picking SPCX vs the established doca-pcc surface; even when the user does not say DOCA SPCX.
Run `npx skills add NVIDIA/skills --skill doca-spcx-cc -a claude-code`. Or copy the skill folder (skills/doca-spcx-cc in NVIDIA/skills) into .claude/skills/doca-spcx-cc in your project. Claude Code loads it when a task matches its description.
Run `npx skills add NVIDIA/skills --skill doca-spcx-cc -a codex`. Or copy the skill folder (skills/doca-spcx-cc in NVIDIA/skills) into .agents/skills/doca-spcx-cc 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-spcx-cc -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-spcx-cc, .gemini/skills/doca-spcx-cc, .github/skills/doca-spcx-cc and .opencode/skills/doca-spcx-cc in your project.
SKILL.md names no scripts, command-line tools or credentials: Doca Spcx Cc 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 the SPCX optional component, a BlueField exposing its DPA processor with the firmware custom-PCC slot enabled, the DPACC compiler installed and version-matched, and a non-prod RDMA / RoCE fabric with controllable contention reachable for evaluation. Probes via `pkg-config doca-pcc` and `doca_spcx_cc --help`. .
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 Spcx Cc 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 4.9k tokens (SKILL.md is roughly 20k 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 Spcx Cc: Create Invoke Task (DataDog/datadog-agent, 3.8k stars), Doca Caps (NVIDIA/skills, 3.5k stars), Doca Verbs (NVIDIA/skills, 3.5k stars) and Doca Rdmi (NVIDIA/skills, 3.5k 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.