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 Flow DPA Provider work — exporting a `doca-flow` pipe or external resource (index-selector/memory) into BlueField DPA address space so a DPACC-built kernel can read counters, mutate hash-pipe entries, and update/read memory or index-selector resources inline with Flow. Covers per-port `doca_flow_dpa_ctx`, three queue types (general/resources-write/resources-read), the order-sensitive export handshake (`_export_prepare` → add entries → `_export` → `_get_device_addr`), and DPA-side device API. Trigger even when the user does not say "DOCA Flow DPA Provider" — implicit phrasings include "DPA kernel never sees entries in the exported pipe", "BAD_STATE from `_pipe_export`", "how do I disable a hash entry from a DPA kernel", "DPA memory read returns no value", or "DPA-side post keeps returning AGAIN". Refuse and route elsewhere for `doca-flow` pipe construction, generic host-side DPA (`doca-dpa`), or DPA-side kernel-writing — those belong to other skills.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
_pipe_export." — finish
_export_prepare and add entries before _export. Do not
skip to the device address.Follow Loading order below. Open the tasks companion for configure / export / debug. Open the capabilities companion for queue types and the handshake. Do not open every companion file.
Where to start: This skill assumes DOCA is already
installed, the user has a BlueField with a DPA processor that
the host can see through DOCA, the user already programs DOCA
Flow from the host (doca-flow) and already runs DPA kernels
from the host (doca-dpa / DPACC compiler), and the user is
doing hands-on DPA Flow Provider work — i.e. using
doca-flow-dpa-provider to export an existing DOCA Flow pipe
or external resource into the DPA address space so a DPA
kernel can manipulate it inline. Open the tasks companion
if the user wants to do something (configure / build /
modify / run / test / debug); open
the capabilities companion when the question is
what can the provider express on this version + this
BlueField generation. If the user has not installed DOCA yet,
route to doca-setup/SKILL.md first; if
the user has not stood up a host-side Flow pipe yet, route to
doca-flow/SKILL.md first; if the user has
not stood up host-side DPA execution yet, route to
doca-dpa/SKILL.md first.
The CLASSES of DPA Flow Provider 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-flow API exposes". Answered by the
decision rule in
DOCA_ERROR_* from a
doca_flow_dpa_* call mean, and is the bug on the host
side, on the DPA side, or in the export handshake between
them?" — worked example: "DOCA_ERROR_BAD_STATE from
doca_flow_dpa_pipe_export". Answered by the provider
overlay on the cross-library taxonomy in
doca-debug/SKILL.md.doca_flow_dpa_pipe_export_prepare AFTER adding entries to
the pipe". Answered by the lifecycle ordering rule in
doca_flow_dpa_queues_create available
against the DOCA + DPACC versions on this host, or am I
still on the older doca_flow_dpa_pipe_queues-based
surface?". Answered by the version-compatibility overlay
in
doca-version/SKILL.md and adds the
provider-specific overlay inherited from
doca-dpa/SKILL.md.This skill serves external developers building applications
that consume the DOCA Flow DPA Provider library — i.e.,
users who already have a host-side doca-flow pipe and a
host-side doca-dpa execution context, and who want to wire
the two together so a DPA kernel can read counters from / mutate
entries of / read or write external resources tied to that
Flow pipe inline, instead of round-tripping through the host
CPU. It is not for NVIDIA developers contributing to the
provider library itself, nor is it for users who only need
host-side Flow programming (that is doca-flow) or who only
need generic DPA compute that has nothing to do with Flow
(that is doca-dpa).
Language scope. DOCA Flow DPA Provider ships as a paired
library: a host-side C library (pkg-config module
doca-flow-dpa-provider, header
doca_flow_dpa_provider.h) plus a DPA-side device library
that the DPACC compiler links into the DPA-side translation
unit when the kernel includes doca_flow_dpa_provider_dev.h.
Both halves are C. The shipped samples (under the installed
DOCA samples tree) include both translation units. Other-
language host-side consumers can FFI the host C library, but
the DPA-side kernel has no FFI escape hatch (the DPACC
compiler accepts a single translation unit per kernel image).
The skill keeps the lifecycle, capability-discovery, env-
precondition, and error-taxonomy guidance language-neutral on
the host side, and points all DPA-side kernel-writing
questions at the public DOCA DPA and DOCA Flow programming
guides via
doca-public-knowledge-map/SKILL.md.
Load this skill when the user is doing hands-on DOCA Flow DPA
Provider work, in any host language plus a DPA-side
translation unit built by dpacc. Concretely:
doca_flow_dpa_ctx against a flexio_process
that maps to a BlueField with a DPA processor visible to
the host AND a host-side doca-flow port already brought
up against the same device.doca_flow_dpa_queues_create.doca_flow_pipe to the DPA address
space via the
doca_flow_dpa_pipe_export_prepare → _pipe_export →
_pipe_get_device_addr sequence, BEFORE any entry is added
to the pipe.doca_flow_dpa_external_resource_* family.doca_flow_dpa_addr device pointer to
the DPA-side kernel so the kernel can call
doca_flow_pipe_hash_* / doca_flow_external_resource_*
/ doca_flow_queue_poll_completion on it.DOCA_ERROR_* from a doca_flow_dpa_* call —
in particular disambiguating export called too late in the
pipe lifecycle from queues not yet created from DPA-
side queue full and not drained.dpacc.Do not load this skill for general DOCA Flow programming
(use doca-flow/SKILL.md), generic host-side
DPA work (use doca-dpa/SKILL.md), or DPA-
side kernel-writing itself (route via
doca-public-knowledge-map/SKILL.md
to the public DOCA DPA / DPACC / Flow programming guides).
This is a thin loader. The body keeps only the orientation needed to pick the right next file. The substantive provider-specific material lives in two companion files:
doca_flow_dpa_ctx context, the
three queue types (DOCA_FLOW_DPA_QUEUE_TYPE_GENERAL /
_RESOURCES_WRITE / _RESOURCES_READ), the
pipe-export handshake (prepare → export → get-device-addr),
the parallel external-resource-export handshake, the DPA-
side device API for hash-pipe entry manipulation
(doca_flow_pipe_hash_enable_index /
_hash_disable_index / _hash_replace_index), the DPA-
side device API for external resources
(doca_flow_external_resource_index_selector_modify*,
doca_flow_external_resource_memory_update,
doca_flow_external_resource_memory_read*), the
completion-queue polling
(doca_flow_queue_poll_completion), the
three-program-model rule (host-side doca-flow + host-side
doca-dpa + DPA-side kernel), the error taxonomy mapped
onto the cross-library DOCA_ERROR_* set, the
observability surface, and the safety policy that gates the
export lifecycle.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 where DOCA is already installed at
the standard location, a BlueField with a DPA processor is
physically present and visible to the host, the DPACC
compiler is installed at a version matched to the DOCA
install per the DOCA Compatibility Policy, the user already
knows how to bring up a doca-flow port and create a
host-side doca_dpa (or its FlexIO equivalent) for kernel
execution, and the user has at least a sketch of the DPA-side
kernel that will consume the exported pipe device address.
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-public-knowledge-map/SKILL.md
for the per-install sample tree path). The agent's job is
to route the user to those files and prescribe a
minimum-diff modification on them via the universal
modify-a-sample workflow in
doca-programming-guide/SKILL.md,
layered with the provider-specific overrides in
meson.build,
CMakeLists.txt, …) parked inside the skill. The agent
constructs the build manifest in the user's project
directory against the user's installed DOCA + DPACC
compiler, where pkg-config --modversion doca-flow-dpa-provider (alongside doca-flow and
doca-dpa) and the installed dpacc are the joint sources
of truth.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.doca-flow pipe-spec content. That is
doca-flow/SKILL.md's scope; this skill
exports an already-constructed pipe and does not redefine
how to construct it.doca-dpa-comms and doca-dpa-verbs — out of scope. Route
to the public DOCA DPA / DPACC guides via
doca-public-knowledge-map/SKILL.md.doca-flow work and not generic doca-dpa work).doca_flow_dpa_ctx, the three queue
types, the pipe-export and external-resource-export
handshakes, the DPA-side device API surface, the
completion model, the error taxonomy, the observability
surface, and the safety policy, see
the capabilities companion.Both companion files cross-link to each other,
doca-flow/SKILL.md and
doca-dpa/SKILL.md for the host-side
surfaces this library bridges,
doca-version/SKILL.md for the
canonical DOCA version-handling rules (with the
DOCA-and-DPACC overlay inherited from
doca-dpa/SKILL.md), and
doca-public-knowledge-map/SKILL.md
whenever the right answer is "look it up in the public DOCA
Flow / DOCA DPA / DPACC programming guides, or in the on-disk
install layout" rather than "provider-specific guidance".
doca-flow/SKILL.md — the canonical
host-side Flow programming skill. The Flow pipe this
library exports MUST be brought up against
doca-flow ## Capabilities and modes
first; this skill only adds the DPA-export layer on top.doca-dpa/SKILL.md — the host-side DPA
control library. The DPA kernel that consumes the
exported device address is loaded and launched through
doca-dpa (or its FlexIO-process equivalent); this skill
inherits the two-side-program model, the DPACC-and-DOCA
version-match rule, and the env-precondition matrix from
there.doca-public-knowledge-map/SKILL.md —
routing table for every public DOCA documentation source
(DOCA Flow guide at
https://docs.nvidia.com/doca/sdk/doca-flow/index.html;
DOCA DPA guide at
https://docs.nvidia.com/doca/sdk/doca-dpa/index.html;
DPACC compiler guide and DPA Tools umbrella reachable from
the same routing table) and the on-disk layout of an
installed DOCA package.doca-setup/SKILL.md — env preparation,
install verification, DPACC compiler install /
verification, and the I have no install yet path with
the public NGC DOCA container. This skill assumes its
preconditions are satisfied AND that DPACC is installed at
a version that matches DOCA.doca-version/SKILL.md — canonical
DOCA version-handling rules. This skill's ## Version compatibility cross-links the four-way match rule and adds
the provider-specific DOCA-and-DPACC must match overlay
per the DOCA Compatibility Policy (inherited from
doca-dpa/SKILL.md).doca-structured-tools-contract/SKILL.md —
the bundle's structured-tools precedence rule (detect /
prefer / fall back / report). The Command appendix in
the tasks companion honors this contract.doca-programming-guide/SKILL.md —
general DOCA programming patterns: the canonical
pkg-config + meson build pattern, the universal
modify-a-shipped-sample first-app workflow, the universal
Core-context lifecycle, the cross-library DOCA_ERROR_*
taxonomy, and the program-side debug order. This skill
layers provider specifics on top.doca-debug/SKILL.md — the cross-cutting
debug ladder (install / version / build / link / runtime /
program / driver). Provider-specific debug (lifecycle-
ordering between Flow pipe creation, queue creation, export
prepare, entry add, export; queue-full on DPA-side polling;
pipe device address handed to a kernel that targets a
different doca_flow_dpa_ctx) overlays on top.doca-hardware-safety/SKILL.md —
cross-cutting hardware-safety meta-policy that this
skill's ## Safety policy overlays. Because the exported
pipe is mutated inline by DPA-side kernel code, the
validate-before-commit discipline from doca-flow plus the
two-side-program rebuild discipline from doca-dpa BOTH
apply, and the meta-policy provides the cross-cutting
framing.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.