Official NVIDIA-authored guidance for NVIDIA cuDF GPU DataFrames, pandas acceleration, dask-cuDF, ETL, joins, groupby, CSV/Parquet I/O, nullable semantics, and multi-GPU DataFrame workloads.
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Use this skill to deploy and operate a CollectX (clx) based DOCA telemetry collector on a host or BlueField — wiring providers / counters into the collector, running the collection daemon, and shaping its exporters (Prometheus pull, Fluent Bit push, NetFlow, file / IPC) so the metrics actually leave the box. Trigger even when the user never says CollectX or clx — implicit phrasings: {collector emits nothing downstream}, {add a provider to the clx collector}, {turn on the Prometheus endpoint}, {ship counters to Fluent Bit from the DPU}, {daemon starts but no schema rows appear}. This skill owns the CollectX collection mechanism plus the operator's own doca-telemetry / doca-telemetry-exporter usage; it ROUTES the productized DOCA Telemetry Service (DTS) to public docs (AGENTS.md Non-goal #7), the reader API to doca-telemetry, and the publisher API to doca-telemetry-exporter. Refuse to invent clx symbols, provider names, schema fields, flags, or config paths — describe the class and route to the live source.
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查看安装方法安装前可以查看交给 AI 代理的指令内容。
Follow Loading order below. Open the tasks companion for collector bring-up and recover. Open the capabilities companion for the four-surface split and export-backend classes. Do not open every companion file.
Where to start: This skill is the bundle's home for
operating a CollectX (clx) based telemetry collector — the
collection framework that gathers provider counters into a
schema and ships them out through one or more exporters. It is a
deployment / operation skill, parallel to
doca-bare-metal-deployment
and doca-container-deployment:
it owns the runtime shape of a telemetry collector on the
operator's host or BlueField, not the library APIs the operator's
own program calls. If the user wants to stand up, wire, or debug
a collector and its exporters, open the tasks companion and
start at ## configure. If the question is
what surfaces does the collector even have and where is the
scope boundary, start at the capabilities companion.
If the user has not installed DOCA yet, route to
doca-setup first.
Routing means handing the request over, not answering it first. For anything the boundary below assigns to another skill, name the owner and stop. Naming the owner and then supplying the API calls, the instrumentation steps, or a code sketch anyway is the failure mode to avoid — a partial answer here is still an answer, and it defeats the routing it just performed. Do not walk the out-of-scope work, not even as a summary, an illustrative snippet, or a caveat.
CollectX (clx) is NVIDIA's telemetry collection framework. It
underpins the DOCA Telemetry Service (DTS) — and DTS
as-deployed (the productized, NGC-shipped / kubelet-started
service container) is out of scope for this bundle per
AGENTS.md Non-goal #7.
This skill therefore draws a hard line and the agent MUST state
it up front:
doca-telemetry; the
application-side publisher API (emit counters / events from
a DOCA program) is owned by
doca-telemetry-exporter.
This skill does not re-document either API surface.doca-public-knowledge-map externally-productized routing row
and the public DTS guide it points at. The agent must NOT
synthesize DTS config file names, provider knob names, or
paths from memory.The load-bearing first-touch failure this skill exists to
prevent is collapsing these four surfaces into "DOCA
telemetry": the clx collection mechanism, the doca-telemetry
reader library, the doca-telemetry-exporter publisher library,
and the productized DTS container are four different things with
four different owners. The agent surfaces the decomposition
BEFORE any config-level guidance.
This skill serves external operators standing up or running a CollectX-based telemetry collector on a host or BlueField they administer — people who already have:
doca-setup ## test,libs/ skills above), anddocs.nvidia.com as the authoritative source for any concrete
provider name, schema field, flag, or config path.It is not for:
doca-telemetry) or the
publisher API (route to
doca-telemetry-exporter),doca-setup ## no-install.The skill teaches the agent the procedure and the scope
boundary; it does not invent clx symbol names, provider names,
schema field names, exporter flag names, or config paths from
memory — those come from the live install and the public docs via
doca-public-knowledge-map.
Load this skill when the user is doing hands-on deployment or operation of a CollectX-based telemetry collector and the question is about the collector runtime shape, not a library API. Concretely:
doca-telemetry-utils).doca-telemetry), or the
publisher library (route to doca-telemetry-exporter) instead
of the collection mechanism this skill owns.Do not load this skill for: the hardware-counter reader API
(use doca-telemetry); the
publisher API (use
doca-telemetry-exporter);
operating the productized DTS container (route via
doca-public-knowledge-map
Non-goal #7); installing DOCA or preparing the env (use
doca-setup); or any hardware-state
change (use
doca-hardware-safety).
This is a thin loader. The substantive material lives in two companion files:
doca-version, the error taxonomy
(collector won't start → no provider rows → schema mismatch →
exporter silent → downstream skew → transport), the
observability surface, and the safety policy (gate provider
support before commit; collector is read-only against the
device; route any mutating step to
doca-hardware-safety; do
not invent clx names / paths).configure, build (routing stub), modify, run, test,
debug, plus a Deferred task verbs block that routes
out-of-scope questions (the two libraries, the productized DTS
container, env prep, hardware-state change) to their owners.The skill assumes a host or BlueField where DOCA is already
installed and healthy (per
doca-setup ## test) and the
operator can run the collector and reach its exporter sinks. It
does not cover installing DOCA — that path goes through
doca-setup — and it does not cover
the reader / publisher library APIs or the productized DTS
container.
configure, build (routing
stub), modify, run, test, debug, and the
Deferred task verbs block — see the tasks companion.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 "read the live config / public docs"
rather than collector-specific guidance.
doca-telemetry — hardware-counter reader API.doca-telemetry-exporter — application-side publisher API.doca-telemetry-utils — schema / Data ID / support probe CLI.doca-setup — install and env preconditions.doca-version — four-way version match.doca-hardware-safety — any mutating hardware step.doca-bare-metal-deployment — collector launch on bare metal.doca-container-deployment — collector launch as a container.doca-public-knowledge-map — public telemetry / DTS routing.还没有评价。欢迎分享你的使用感受。
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Official NVIDIA-authored guidance for NVIDIA cuDF GPU DataFrames, pandas acceleration, dask-cuDF, ETL, joins, groupby, CSV/Parquet I/O, nullable semantics, and multi-GPU DataFrame workloads.
中文简介正在准备中。当前显示原文说明。
Customize NVIDIA Nemotron Voice Agent's Generic Pipecat example for healthcare appointment, five-field patient intake, or custom tool-calling workflows without a separate backend.
中文简介正在准备中。当前显示原文说明。
Calibrate a new dataset from live RTSP camera streams via the AutoMagicCalib REST API. Use when the user provides RTSP URLs or asks to calibrate live cameras; VIOS records clips, AMC ingests them, then runs calibration.
中文简介正在准备中。当前显示原文说明。
Run end-to-end calibration on the shipped sample dataset (sdg_08_2_sample_data_010926.zip) against a running AMC microservice. Use when user says 'test sample dataset', 'run sample calibration', 'verify AMC install', or 'launch and test'.
中文简介正在准备中。当前显示原文说明。
Calibrates pre-recorded `cam_*.mp4` datasets through the AutoMagicCalib REST API. Use for user-supplied local MP4s; route live RTSP streams to `amc-run-rtsp-calibration`.
中文简介正在准备中。当前显示原文说明。
Launch AutoMagicCalib microservice and web UI from NGC release images via Docker Compose. Use when user says 'deploy auto calibration', 'launch auto calibration', 'launch AMC', 'start MS+UI', or 'set up auto-magic-calib'. Requires NGC API key.
中文简介正在准备中。当前显示原文说明。