Warp Telemetry Events
warpdotdev/warp
Adds telemetry events to the Warp codebase through its trait-based system, after agreeing with you what to track and why.
A skill your agent uses to read DOCA hardware-counter events from a docadev through the per-domain Telemetry reader libraries: docatelemetrypcc, dpa, diag, adpretx, phy, and pci.
$ npx skills add NVIDIA/skills --skill doca-telemetry -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install NVIDIA/skills doca-telemetry --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 .claude/skills/doca-telemetry && 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" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/doca-telemetry into .claude/skills/doca-telemetry/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "doca-telemetry", 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-telemetryType 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 -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install NVIDIA/skills doca-telemetry --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 .agents/skills/doca-telemetry && 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" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/doca-telemetry into .agents/skills/doca-telemetry/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "doca-telemetry", 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 -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install NVIDIA/skills doca-telemetry --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 .cursor/skills/doca-telemetry && 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" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/doca-telemetry into .cursor/skills/doca-telemetry/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "doca-telemetry", 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--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 -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install NVIDIA/skills doca-telemetry --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 .gemini/skills/doca-telemetry && 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" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/doca-telemetry into .gemini/skills/doca-telemetry/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "doca-telemetry", 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-telemetryInstalls 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 -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 .github/skills/doca-telemetry && 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" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/doca-telemetry into .github/skills/doca-telemetry/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "doca-telemetry", 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 -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 --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 .opencode/skills/doca-telemetry && 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" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/doca-telemetry into .opencode/skills/doca-telemetry/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "doca-telemetry", 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-telemetryA skill your agent uses to read DOCA hardware-counter events from a docadev through the per-domain Telemetry reader libraries: docatelemetrypcc, dpa, diag, adpretx, phy, and pci.
Doca Telemetry is an agent skill from NVIDIA/skills, published by the product's own GitHub organization. Use this skill to read DOCA hardware-counter events from a docadev through the per-domain Telemetry reader libraries: docatelemetrypcc, dpa, diag, adpretx, phy, and pci. It covers capability checks, context creation, startup, and per-domain reads or samples. Trigger for implicit requests such as "read PCC counters from my BlueField app", "sample DPA counter exports", or "expose PHY, PCI, or DIAG counters from this docadev". This is the counter-reader surface, not a NetFlow, IPFIX, or local-socket collector. Route…
Its SKILL.md is about 2.8k 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 Linux (Ubuntu 22.04/24.04 or RHEL/SLES) with a BlueField DPU or ConnectX NIC attached. Reads the user's…
The repository describes itself as: Agent Skills for NVIDIA products — install into Claude Code, Codex, and other coding agents to run Physical AI, robotics, simulation, CUDA, and RAG workflows end to end. The licence is Apache-2.0.
3 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 0e0d506. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Requires DOCA SDK installed at /opt/mellanox/doca on Linux (Ubuntu 22.04/24.04 or RHEL/SLES) with a BlueField DPU or ConnectX NIC attached. Reads the user's local install via `pkg-config doca-telemetry` and inspects /opt/mellanox/doca/{lib,include,samples,applications}.
From compatibility in the SKILL.md frontmatter.
Doca Telemetry loads about 2.8k tokens when it runs, and up to ~5.6k if it reads all its reference files. Until then it costs about 176 tokens; SKILL.md has 1,175 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). 1,175 words, ~2,773 tokens.
.claude/skills/doca-telemetry/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
and the user is doing hands-on hardware-counter-reader work —
opening a per-domain doca_telemetry_<domain> context against a
doca_dev and reading the latest hardware-counter snapshot for
that domain. The library is the counter-READER half of DOCA
telemetry; it is NOT a NetFlow / IPFIX collector and NOT a
generic schema-event consumer (the bundle previously framed it
that way and that framing was wrong — there is no NetFlow /
IPFIX / local-socket transport surface in the public header).
Open TASKS.md if the user wants to do something
(configure / build / modify / run / test / debug); open
CAPABILITIES.md when the question is which
hardware-counter domains can this device read on this install
(PCC, DPA, DIAG, ADP_RETX, PHY, PCI). If the user has not
installed DOCA yet, route to
doca-setup first. If the user is
confused about whether they want this library (HW-counter
reader on a doca_dev) or
doca-telemetry-exporter
(the publisher / export side, which is a separate library and
publishes structured telemetry / labeled metrics / OTLP logs),
read the reader-vs-exporter role split in
CAPABILITIES.md ## Capabilities and modes
BEFORE configuring anything; mixing the two is the load-bearing
first-app failure for this skill. If the user is asking about
DOCA Telemetry Service (DTS) as deployed, route to
doca-public-knowledge-map
non-goals — DTS is out of scope for this bundle.
This skill serves external developers building applications
that READ DOCA hardware counters from a doca_dev through one
or more of the six per-domain DOCA Telemetry reader libraries
(doca_telemetry_pcc / _dpa / _diag / _adp_retx / _phy /
_pci) — i.e., users whose application code calls
doca_telemetry_<domain>_* (directly in C/C++, or through FFI /
bindings from another language) to open a per-domain context on
a doca_dev, configure the per-domain sample window, and read
the hardware-counter snapshot for that domain. It is not for
NVIDIA developers contributing to DOCA Telemetry itself, and it
is not for users writing the publishing / export side —
that is
doca-telemetry-exporter,
a separate library and a separate skill.
Language scope. DOCA Telemetry's per-domain reader libraries
ship as a C surface with pkg-config module name
doca-telemetry. The shipped samples are written in C. C and
C++ readers are the canonical case; the worked examples in
TASKS.md assume that path. Other-language readers (Rust, Go,
Python, …) consume the same *.so through FFI or
language-specific bindings; the skill's contribution in that
case is to keep the reader-vs-exporter distinction, the per-
domain cap-query-first discipline, the per-domain DOCA Core
lifecycle on the doca_dev, the sample-window discipline, and
the error-taxonomy guidance language-neutral, and to route the
agent to the public per-domain C ABI as the authoritative
surface that any wrapper will eventually call.
Load this skill when the user is doing hands-on DOCA Telemetry hardware-counter-reader work, in any language. Concretely:
doca_telemetry_pcc.h for Programmable Congestion
Control counters, _dpa.h for DPA counters, _diag.h for
generic device diagnostic counters, _adp_retx.h for ADP
retransmit counters, _phy.h for physical-layer counters,
_pci.h for PCI / PCIe counters) and confirming the device
supports it via the per-domain _cap_is_supported(devinfo)
query — except _pci, which has no single _cap_is_supported
and instead exposes per-feature caps like
doca_telemetry_pci_cap_management_info_is_supported /
_cap_perf_counters_1_is_supported.doca_telemetry_<domain> context on a
doca_dev, walking the per-domain lifecycle
(doca_telemetry_<domain>_create(dev) → per-domain setters →
doca_telemetry_<domain>_start), configuring the per-domain
sample window, and reading the hardware-counter snapshot for
that domain. Note this is a per-domain _create/_start
surface, not the generic doca_ctx_* progress-engine
lifecycle.doca_telemetry_<domain>_cap_is_supported only for pcc,
dpa, diag, adp_retx, and phy; use the matching
per-feature doca_telemetry_pci_cap_*_is_supported query for
PCI.DOCA_ERROR_* returns from a counter
read (lifecycle vs. device-doesn't-support-this-domain vs.
per-domain AGAIN-means-snapshot-not-ready vs. permission /
driver) and the per-read status reported back to the
application.doca-telemetry-exporter
when the user actually wants to PUBLISH / EXPORT the counter
values (OTLP / Prometheus / labeled metrics);
doca-log when plain structured stdout logging is enough; a
generic Prometheus / OpenTelemetry client library when the
counter source is a non-DOCA program; the externally-
productized DOCA Telemetry Service (DTS, out of scope) when
the user wants a turnkey aggregator.doca_dev lifecycle, the sample-window
discipline, and the error rules the wrapper must honor.Do not load this skill for general DOCA orientation, install
of DOCA itself, the publishing / export side
(doca-telemetry-exporter
has its own skill), the externally-productized DOCA Telemetry
Service (DTS — out of scope), or non-reader 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 hardware-counter-reader material lives in two companion files:
CAPABILITIES.md — what the per-domain readers can express on
this install: the reader-vs-exporter role-split rule, the
six shipped sub-libraries (doca_telemetry_pcc / _dpa /
_diag / _adp_retx / _phy / _pci) and which counter
family each one exposes, the per-domain DOCA Core lifecycle
on a doca_dev, the domain-level capability query for PCC /
DPA / DIAG / ADP_RETX / PHY and the per-feature capability
queries for PCI, the
reader error taxonomy (mapped onto the cross-library
DOCA_ERROR_* set, with the NOT_SUPPORTED-means-domain-
not-exposed-on-this-device rule and the AGAIN-means-
snapshot-not-ready rule called out explicitly), the
observability surface (per-read status + per-domain cap-
query snapshot at configure time), the safety policy that
gates per-domain reads behind the cap-query result, and the
path-selection rule against
doca-telemetry-exporter,
doca-log, and standalone Prometheus / OpenTelemetry / DTS.TASKS.md — step-by-step workflows for the six in-scope
reader 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 where DOCA is already installed at
the standard location and a target BlueField DPU or ConnectX NIC
is available. The TASKS.md ## run workflow
opens the corresponding doca_dev and requires the per-domain
cap-query to return DOCA_SUCCESS. It does not cover installing
DOCA — that path goes through
doca-setup — and it does not
cover writing the publishing / export side, which is
doca-telemetry-exporter.
SKILL.md first to confirm the user's question
is in scope (specifically, that the user wants to READ a
per-domain hardware counter via the per-domain reader API
on a doca_dev — not PUBLISH counters, which is
doca-telemetry-exporter;
not deploy DTS, which is out of scope; and not stand up a
NetFlow / IPFIX collector, which this library does not
expose a surface for).doca_dev, the per-domain capability query, the error
taxonomy (including the NOT_SUPPORTED-means-domain-
not-exposed-on-this-device rule and the AGAIN-means-
snapshot-not-ready rule), observability, the safety
policy, and the path-selection rule, see
CAPABILITIES.md.Both companion files cross-link to each other,
doca-version for the canonical
version-handling rules, and
doca-public-knowledge-map
whenever the right answer is "look it up in the public docs or
the installed package layout" rather than "reader-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-telemetry of NVIDIA/skills.
Open the folder on GitHubat commit 0e0d506
Doca Telemetry 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 this skillNVIDIA/skills | 3.5k | — | ~2.8k | Automated safety check: Pass | Apache-2.0 | |
| Warp Telemetry Eventswarpdotdev/warp | 65k | 1 repos | ~1.3k | Automated safety check: Pass | AGPL-3.0 | |
| Telemetry AnalyticsOpenHands/OpenHands | 90k | — | ~305 | Automated safety check: Pass | MIT | |
| Event Store Designwshobson/agents | 40k | 8 repos | ~828 | Automated safety check: Pass | MIT | |
| Event Sourcing Architectdavila7/claude-code-templates | 32k | 4 repos | ~659 | Automated safety check: Pass | MIT | |
| Telemetryrobinebers/openusage | 4.3k | — | ~977 | Automated safety check: Pass | MIT |
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Adds telemetry events to the Warp codebase through its trait-based system, after agreeing with you what to track and why.
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A skill your agent uses to read DOCA hardware-counter events from a docadev through the per-domain Telemetry reader libraries: docatelemetrypcc, dpa, diag, adpretx, phy, and pci. Doca Telemetry is an agent skill from NVIDIA/skills, published by the product's own GitHub organization. Use this skill to read DOCA hardware-counter events from a docadev through the per-domain Telemetry reader libraries: docatelemetrypcc, dpa, diag, adpretx, phy, and pci.
Doca Telemetry fits situations like: read DOCA hardware-counter events from a docadev through the per-domain Telemetry reader libraries: docatelemetrypcc; implicit requests such as read PCC counters from my BlueField app; sample DPA counter exports; DIAG counters from this docadev.
Run `npx skills add NVIDIA/skills --skill doca-telemetry -a claude-code`. Or copy the skill folder (skills/doca-telemetry in NVIDIA/skills) into .claude/skills/doca-telemetry in your project. Claude Code loads it when a task matches its description.
Run `npx skills add NVIDIA/skills --skill doca-telemetry -a codex`. Or copy the skill folder (skills/doca-telemetry in NVIDIA/skills) into .agents/skills/doca-telemetry 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 -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, .gemini/skills/doca-telemetry, .github/skills/doca-telemetry and .opencode/skills/doca-telemetry in your project.
SKILL.md names no scripts, command-line tools or credentials: Doca Telemetry is instructions for the agent only. Compatibility (from SKILL.md): Requires DOCA SDK installed at /opt/mellanox/doca on Linux (Ubuntu 22.04/24.04 or RHEL/SLES) with a BlueField DPU or ConnectX NIC attached. Reads the user's local install via `pkg-config doca-telemetry` and inspects /opt/mellanox/doca/{lib,include,samples,applications}. .
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Doca Telemetry 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 2.8k 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 2.8k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Doca Telemetry: Warp Telemetry Events (warpdotdev/warp, 65k stars), Telemetry Analytics (OpenHands/OpenHands, 90k stars), Event Store Design (wshobson/agents, 40k stars) and Event Sourcing Architect (davila7/claude-code-templates, 32k 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.