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A skill your agent uses when the user is invoking docatelemetryutils on a host with DOCA installed — discovering the diagnostic-counter schema, translating counter names to binary Data IDs…
$ npx skills add NVIDIA/skills --skill doca-telemetry-utils -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install NVIDIA/skills doca-telemetry-utils --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-telemetry-utils .claude/skills/doca-telemetry-utils && 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-telemetry-utils" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/doca-telemetry-utils into .claude/skills/doca-telemetry-utils/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "doca-telemetry-utils", 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-telemetry-utilsType 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-telemetry-utils -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install NVIDIA/skills doca-telemetry-utils --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-telemetry-utils .agents/skills/doca-telemetry-utils && 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-telemetry-utils" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/doca-telemetry-utils into .agents/skills/doca-telemetry-utils/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "doca-telemetry-utils", 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-telemetry-utils -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install NVIDIA/skills doca-telemetry-utils --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-telemetry-utils .cursor/skills/doca-telemetry-utils && 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-telemetry-utils" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/doca-telemetry-utils into .cursor/skills/doca-telemetry-utils/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "doca-telemetry-utils", 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-telemetry-utils--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-telemetry-utils -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install NVIDIA/skills doca-telemetry-utils --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-telemetry-utils .gemini/skills/doca-telemetry-utils && 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-telemetry-utils" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/doca-telemetry-utils into .gemini/skills/doca-telemetry-utils/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "doca-telemetry-utils", 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-telemetry-utilsInstalls 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-telemetry-utils -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-telemetry-utils .github/skills/doca-telemetry-utils && 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-telemetry-utils" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/doca-telemetry-utils into .github/skills/doca-telemetry-utils/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "doca-telemetry-utils", 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-telemetry-utils -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-telemetry-utils --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-telemetry-utils .opencode/skills/doca-telemetry-utils && 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-telemetry-utils" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/doca-telemetry-utils into .opencode/skills/doca-telemetry-utils/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "doca-telemetry-utils", 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-telemetry-utilsA skill your agent uses when the user is invoking docatelemetryutils on a host with DOCA installed — discovering the diagnostic-counter schema, translating counter names to binary Data IDs…
Doca Telemetry Utils is an agent skill from NVIDIA/skills, published by the product's own GitHub organization. Use this skill when the user is invoking docatelemetryutils on a host with DOCA installed — discovering the diagnostic-counter schema, translating counter names to binary Data IDs, validating per-device counter support before committing a DOCA Telemetry exporter config, or reverse-resolving a captured Data ID. Trigger even when the user does not explicitly mention "docatelemetryutils" or "Data ID" — typical implicit phrasings include "my exporter ships but the collector sees nothing", "this metric silently drops…
Its SKILL.md is about 4.2k 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 Telemetry optional component and a BlueField DPU visible…
It sits in DevOps & Cloud, covering Translation. 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 Telemetry optional component and a BlueField DPU visible to DOCA on a known PCI address. Invokes /opt/mellanox/doca/tools/doca_telemetry_utils; per-device probe typically requires elevated privileges.
From compatibility in the SKILL.md frontmatter.
Doca Telemetry Utils loads about 4.2k tokens when it runs. Until then it costs about 242 tokens; SKILL.md has 1,891 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). 1,891 words, ~4,234 tokens.
.claude/skills/doca-telemetry-utils/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_telemetry_utils — the documented host-side CLI that
supports a DOCA Telemetry exporter / collector pipeline by
discovering the counter schema, translating counter names ↔
Data IDs, and probing per-device counter support. Open
TASKS.md and start at
## install for the host-side
prerequisites and ## run for the
three documented invocation classes
(enumerate / name→ID / ID→name). Open
CAPABILITIES.md when the question is
what does this tool actually discover about the telemetry
schema, how does it pair with the developer-side
doca-telemetry and
exporter libraries, how do I confirm a device supports a
counter before committing an exporter config to it, or
why does my exporter pipeline silently drop a metric.
This skill is the operator-side support tool for a
DOCA Telemetry deployment. It is NOT the developer-side
collector library (that is
doca-telemetry),
NOT the developer-side publisher library (that is
doca-telemetry-exporter — see
doca-telemetry ## Related skills),
and NOT a DOCA Telemetry Service (DTS) deployment guide
(route via
doca-public-knowledge-map).
Three separate surfaces; conflating them is the most
common telemetry first-touch error.
The CLASSES of doca_telemetry_utils 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.
port_rx_bytes but
nothing shows up downstream — what did I get wrong?" —
worked example: "my exporter config has a counter name
string and my collector sees no events with that
name". Answered by the name ↔ Data ID translation
step in
CAPABILITIES.md ## Capabilities and modesTASKS.md ## test: the exporter
ships a Data ID, not a name; a name in the config that
resolves to a Data ID the device does not support is
silently dropped.CAPABILITIES.md ## Capabilities and modes
(doca_telemetry_utils get-counters lists every
counter name the diagnostic-data surface knows about;
pair with a per-device probe to confirm support).Data ID: 0x1160000600030201 — translate it
back so I can correlate against the public guide".
Answered by the reverse-resolve invocation class in
CAPABILITIES.md ## Capabilities and modesTASKS.md ## use (a Data ID carries
the counter's property dimensions; the reverse-resolve
reports them).pcie_link_write_stalled_time_* — what
do node / pcie_index / depth mean and what
values does the device accept?". Answered by the
property-dimension table in
CAPABILITIES.md ## Capabilities and modes<name> invocation without arguments which
prints the documented property options + units +
unit-specific axes.port_rx_bytes with node=1 is
exposed on the BlueField at PCIe address X before I
write the exporter config". Answered by the
per-device-support probe (<device PCI> <name> [properties]) in
CAPABILITIES.md ## Capabilities and modesTASKS.md ## use.doca_telemetry_utils on my install, and is it
paired with the matching doca-telemetry library
version?" — worked example: "is the diagnostic-
data counter set my exporter targets on this DOCA
version?". Answered by the version-overlay in
CAPABILITIES.md ## Version compatibility,
which redirects to the canonical
doca-version chain
and adds the tool ↔ doca-telemetry library
schema-version match rule.This skill serves external operators, developers, and AI agents standing up or debugging a DOCA Telemetry exporter / collector pipeline who need to confirm the counter schema, validate per-device support, or translate between human-readable counter names and the binary Data IDs the exporter actually ships. Concretely:
doca-telemetry,
or a third-party aggregator consuming via DTS) who
has a captured Data ID stream and needs to translate
IDs back to counter names + properties.It is not for users debugging the doca_telemetry_utils
binary itself, not a substitute for the live public
DOCA Telemetry guides, and not the right place for
learning how to write an exporter application (that
audience belongs in
doca-telemetry-exporter skill
when present, or 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_telemetry_utils is a C host-side CLI that uses
the documented doca_telemetry_diag surface to list
counter types and probe per-device support. Its inputs
are command-line arguments (counter name, property
values, Data ID, optional device PCI address); its
outputs are human-readable Data ID + properties
mappings. The skill keeps workflow guidance language-
neutral; downstream consumers in any language can use
the resolved Data IDs against their own collector code.
Load this skill when the user is — or the agent needs
to — invoke doca_telemetry_utils on a real host with
DOCA installed, alongside an exporter / collector
pipeline that needs schema discovery, per-device
support validation, or Data ID translation.
Concretely:
get-counters).Do not load this skill for general DOCA orientation,
collector / exporter library programming, DTS
deployment, or DOCA install. For those, route to
doca-public-knowledge-map,
doca-telemetry,
or doca-setup.
This is a thin loader. Substantive material lives in two companion files:
CAPABILITIES.md — what doca_telemetry_utils
discovers + how it pairs with the developer-side
surfaces: the three documented invocation classes
(enumerate / name→ID / ID→name), the property-
dimension model (counters carry property axes such
as node, pcie_index, depth, plus per-unit
axes), the optional per-device capability probe
(<device PCI> <name> runs the resolved counter
against the device), the operator-side support
role (this is NOT the developer-side library; it
exists to make exporter / collector setups
honest), the version overlay (tool ↔
doca-telemetry library schema version pairing),
the layered error taxonomy (install / parse /
unknown-counter / unknown-data-id / property-out-
of-range / device-not-supported / version /
cross-cutting), the observability surface
(stdout-only), and the safety policy (the tool is
read-only; mistakes appear downstream as silent
metric drops, not crashes).TASKS.md — step-by-step workflows for the
in-scope task verbs: install (host-side DOCA +
telemetry component prerequisites), configure
(axis decisions: which invocation class, which
device, which counter), build (route to install
— the binary is shipped), modify (refuse — do
not patch the binary; modify the invocation and
the exporter / collector config that consumes the
resolved Data IDs), run (the three documented
invocations), test (round-trip a chosen
counter through name → Data ID → per-device
probe → exporter config → collector receipt),
debug (walk the error taxonomy), use (the
hand-off into the developer-side doca-telemetry
collector / exporter pipeline), plus a Deferred task verbs block.The skill assumes a host where DOCA is already
installed with the telemetry component, a BlueField
the operator is targeting is visible to DOCA, and the
exporter / collector pipeline that consumes the
resolved Data IDs is either being authored or has
already been authored against the matching
doca-telemetry
library version.
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:
doca_telemetry_utils get-counters on the
installed binary is the authoritative source.doca-public-knowledge-map.
This skill resolves the counter names + IDs a
DTS pipeline consumes; it does not configure DTS.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-telemetry.SKILL.md first to confirm the user's
question is in scope (operator-side support
tooling for a telemetry pipeline, not the
developer-side library programming).install, configure, build,
modify, run, test, debug, use — see
TASKS.md.doca-telemetry
— the developer-side collector library whose
schema this tool helps the operator discover. Pair
them in every exporter-pipeline triage session.
The collector library skill teaches the
collector-vs-exporter rule, the schema-must-match
contract with the publisher, and the consumer-
queue-full back-pressure rule; this tool's role
is to make the schema half of that contract
inspectable from the operator side. Conflating
the library and the tool is the most common
telemetry first-touch error.doca-public-knowledge-map
— routing to the public DOCA Telemetry guide and
the DOCA Telemetry Service (DTS) page on
docs.nvidia.com, plus the on-disk install
layout for the tool.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-telemetry library
schema-version pairing rule.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 installed
with the telemetry component, BlueField visible
to DOCA).doca-debug — the
cross-cutting debug ladder. Telemetry-utils
feeds the cross-cutting ladder by surfacing the
counter schema + per-device support truth at the
runtime layer; exporter-pipeline regressions
often resolve at the schema layer before
touching the collector / network path.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
when downstream collector / exporter code
surfaces a related 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-telemetry-utils of NVIDIA/skills.
Open the folder on GitHubat commit 67a13c0
Doca Telemetry Utils 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 Telemetry Utils this skillNVIDIA/skills | 3.5k | — | ~4.2k | Automated safety check: Pass | Apache-2.0 | |
| Health Alert Authoringnetdata/netdata | 81k | — | ~7.1k | Automated safety check: Pass | GPL-3.0 | |
| Migrate Vstest To Mtprunceel/ReactiveProperty | 944 | — | ~4.3k | Automated safety check: Pass | MIT | |
| Lokalise Deploy Integrationjeremylongshore/tons-of-skills-marketplace | 2.8k | — | ~3.4k | Automated safety check: Pass | MIT | |
| Azure TranslatorMicrosoftDocs/Agent-Skills | 777 | — | ~4.4k | Automated safety check: Pass | CC-BY-4.0 | |
| Build Openshell Mxc WindowsNVIDIA/OpenShell | 15k | — | ~4.9k | Automated safety check: Pass | Apache-2.0 |
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Categories
A skill your agent uses when the user is invoking docatelemetryutils on a host with DOCA installed — discovering the diagnostic-counter schema, translating counter names to binary Data IDs…. Doca Telemetry Utils is an agent skill from NVIDIA/skills, published by the product's own GitHub organization. Use this skill when the user is invoking docatelemetryutils on a host with DOCA installed — discovering the diagnostic-counter schema, translating counter names to binary Data IDs, validating per-device counter support before committing a DOCA Telemetry exporter config, or reverse-resolving a captured Data ID.
Doca Telemetry Utils fits situations like: the user is invoking docatelemetryutils on a host with DOCA installed — discovering the diagnostic-counter schema; translating counter names to binary Data IDs; validating per-device counter support before committing a DOCA Telemetry exporter config; reverse-resolving a captured Data ID.
Run `npx skills add NVIDIA/skills --skill doca-telemetry-utils -a claude-code`. Or copy the skill folder (skills/doca-telemetry-utils in NVIDIA/skills) into .claude/skills/doca-telemetry-utils in your project. Claude Code loads it when a task matches its description.
Run `npx skills add NVIDIA/skills --skill doca-telemetry-utils -a codex`. Or copy the skill folder (skills/doca-telemetry-utils in NVIDIA/skills) into .agents/skills/doca-telemetry-utils 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-telemetry-utils -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-telemetry-utils, .gemini/skills/doca-telemetry-utils, .github/skills/doca-telemetry-utils and .opencode/skills/doca-telemetry-utils in your project.
SKILL.md names no scripts, command-line tools or credentials: Doca Telemetry Utils 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 Telemetry optional component and a BlueField DPU visible to DOCA on a known PCI address. Invokes /opt/mellanox/doca/tools/doca_telemetry_utils; per-device probe typically requires elevated privileges. .
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 Telemetry Utils 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 4.2k tokens (SKILL.md is roughly 17k 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 Telemetry Utils: Health Alert Authoring (netdata/netdata, 81k stars), Migrate Vstest To Mtp (runceel/ReactiveProperty, 944 stars), Lokalise Deploy Integration (jeremylongshore/tons-of-skills-marketplace, 2.8k stars) and Azure Translator (MicrosoftDocs/Agent-Skills, 777 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.