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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use this skill when the user is doing hands-on DOCA Management programming against BlueField / ConnectX devices — standing up a management or representor context (doca_mgmt_dev_ctx / doca_mgmt_dev_rep_ctx), querying device caps (data-direct, caps-general), toggling congestion-control global status, modifying diagnostics-data, setting ICM quotas, or issuing a raw firmware command via doca_mgmt_raw_cmd with the right scope (CONFIGURATION / DEBUG_READ_ONLY / DEBUG_WRITE / DEBUG_WRITE_FULL). Trigger even when the user does not say "DOCA Management" — typical implicit phrasings include "fleet tool that walks every BlueField and reads device state", "toggle data-direct on a VF", "set an ICM quota per representor", "send a raw firmware command from C", "DOCA_ERROR_IO_FAILED from raw_cmd", or "fwctl ioctl is failing". Refuse and route elsewhere for mlxconfig direct operation, BFB / firmware reflash, streaming telemetry, doca_caps CLI snapshots, or DOCA install itself — those belong to other skills.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
DOCA_ERROR_OPERATING_SYSTEM instead.Follow Loading order below. Open the tasks companion for configure / raw-cmd / debug. Open the capabilities companion for scopes and device caps. Do not open every companion file.
Where to start: This skill assumes DOCA is already installed
and the user is doing hands-on management-plane work against
a BlueField / ConnectX device — typically a fleet-management or
orchestration tool that needs to query or modify device-level
state programmatically. Open the tasks companion if the user
wants to do something (install / configure / build / modify /
run / test / debug / use); open the capabilities companion
when the question is what can doca-mgmt express on this version —
the management context model, the raw-command scope ladder, the
sub-domain surfaces (caps-general, cc-global-status, diagnostics-
data, icm-quota), version compatibility, and the safety overlay.
If the user has not installed DOCA yet, route to
doca-setup first.
How to use this skill. Read this file, then search the companion file
for the ## <name> heading the question needs and read that whole section.
Answer completely from it, quoting only its symbols and commands. Do not
browse docs; use the entry points in doca-public-knowledge-map. Give
environment checks as commands for the user's DOCA host. Any change to
device state also follows doca-hardware-safety: say so and cite it. For
out-of-scope requests, name the skill that owns them and stop.
The CLASSES of management-plane 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.
doca-mgmt even the right surface, or do I want
telemetry / bench / caps?" — worked example: "I'm building a
fleet inventory tool — do I use doca-mgmt to query each
BlueField's data-direct capability, or doca-telemetry, or
doca_caps?". Answered by the management-plane vs
observability-plane vs read-only-CLI selection rule in
doca_mgmt_dev_ctx
on the device, then a doca_mgmt_dev_rep_ctx on a specific
VF representor for caps-general programming". Answered by
the management-context lifecycle in
doca_mgmt_device_caps_general_get
on the representor context, read the data-direct flag".
Answered by the capability-query pattern in
data_direct on a representor;
capture pre-state, write, verify, prepare rollback".
Answered by the apply-with-rollback workflow in
doca_mgmt_raw_cmd scope mean and which
scope should I use?" — worked example: "I have a vendor-
documented opcode for a DEBUG_READ_ONLY query — what scope
does that need and what is the blast radius?". Answered by
the command-scope ladder in
DOCA_ERROR_* from a doca_mgmt_* call
mean and which layer caused it?" — worked example:
"DOCA_ERROR_IO_FAILED from doca_mgmt_raw_cmd".
Answered by the mgmt overlay on the cross-library taxonomy
in ## Error taxonomy
doca-debug and to
doca-hardware-safety
when the cause is a device-state change.Load this skill when the user is doing hands-on DOCA Management work on a host with one or more BlueField / ConnectX devices. Concretely:
doca_mgmt_dev_ctx on a doca_dev to inspect
or modify device-level state.doca_mgmt_dev_rep_ctx on a doca_dev_rep (or
via doca_mgmt_dev_rep_ctx_create_by_pci_addr when the
representor is not available) to inspect or modify a VF /
function-level configuration.doca_mgmt_device_caps_general_* (data-direct support and
similar device-wide attributes).set path.doca_mgmt_cc_global_status_* (RP / NP protocol type,
priority, enable / disable).doca_mgmt_diagnostics_data_* against a specific device.doca_mgmt_icm_quota_* and reading the current allocation /
max-reached.doca_mgmt_raw_cmd against the device's
firmware-control endpoint, choosing the right
enum doca_mgmt_cmd_scope for the operation's blast radius.DOCA_ERROR_* returned by a doca_mgmt_* call
and deciding whether the cause is a configuration mistake, a
lifecycle ordering bug, a missing capability on the device,
an fwctl ioctl failure, or a firmware-side rejection.Do not load this skill for general DOCA orientation, install
of DOCA itself, live performance benchmarking, or stream-based
telemetry. For those, use
doca-public-knowledge-map,
doca-setup,
doca-bench, and
doca-telemetry respectively.
This is a thin loader. The body keeps only the orientation needed to pick the right next file. The substantive management-specific material lives in two companion files:
doca_mgmt_dev_ctx + doca_mgmt_dev_rep_ctx), the raw-
command scope ladder (DOCA_MGMT_CMD_SCOPE_CONFIGURATION,
DOCA_MGMT_CMD_SCOPE_DEBUG_READ_ONLY,
DOCA_MGMT_CMD_SCOPE_DEBUG_WRITE,
DOCA_MGMT_CMD_SCOPE_DEBUG_WRITE_FULL), the sub-domain
surfaces (caps-general, cc-global-status, diagnostics-data,
icm-quota) with their capability-query gates, the EXPERIMENTAL
symbol-set policy (every public doca_mgmt_* symbol is
tagged EXPERIMENTAL), the mgmt overlay on the cross-library
DOCA_ERROR_* taxonomy, the observability surface (pre-state
capture + post-write re-query), and the per-artifact safety
overlay on the bundle-wide hardware-safety meta-policy.install, configure, build, modify, run,
test, debug, use. 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 (management-
plane operations typically require root or an equivalent
device-administration capability). 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:
doca-programming-guide.pkg-config --modversion doca-mgmt is the source of truth.doca_mgmt_raw_cmd
in-payload and out-payload are device / firmware specific;
the skill names the scope of a command class and the
discipline the agent applies (pre-state capture, scope
ladder, rollback path) but it does NOT enumerate opcodes —
those are vendor / device documentation and looked up via
doca-public-knowledge-map.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.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 "mgmt-specific
guidance".
doca-hardware-safety —
the bundle-wide hardware-safety meta-policy. Because
doca-mgmt is the surface through which agents most commonly
modify device state programmatically, the safety overlay
in the capabilities companion cross-links the meta-policy
load-bearingly and the agent walks the hardware-safety
ladder whenever a write is recommended.doca-telemetry and
doca-telemetry-exporter —
the observability surfaces for streaming telemetry from the
device. Use those when the user wants live metrics; use
doca-mgmt when the user wants point-in-time programmatic
query or modification.doca-caps — the
read-only CLI for inspecting device capabilities. Use the
tool when the user wants an interactive snapshot; use
doca-mgmt when the user wants the same information through
the C API in a fleet tool.doca-bench — the
live-performance benchmarking tool. Out of scope for
doca-mgmt; the skill names the boundary.doca-pcc and
doca-pcc-counters —
programmable congestion control. doca-mgmt's
doca_mgmt_cc_global_status_* surface is the global
enable/disable + protocol selection control plane that
layers on the deeper programmable-CC surface owned by
doca-pcc.doca-public-knowledge-map — the
routing table for every public DOCA documentation source and
the on-disk layout of an installed DOCA package.doca-setup — env preparation,
install verification, and the I have no install yet path
with the public NGC DOCA container.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
cross-library DOCA_ERROR_* taxonomy. This skill layers
management-plane specifics on top.doca-debug — the cross-cutting
debug ladder. Management-specific debug overlays on top of
it.doca-version — the version
detection / four-way match rule every per-artifact ## Version compatibility anchor builds on. This skill quotes
the management-specific overlay only.doca-structured-tools-contract —
the JSON-schema contracts for the agent-preferred structured
helpers; the ## Command appendix in the tasks companion defers to
them before falling back to the manual chain.아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.
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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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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'.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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`.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.