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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Raw verbs inside DOCA Core (doca-verbs): direct control of QP, CQ, PD, SRQ and address-handle objects through doca_verbs_context, doca_verbs_qp_create / doca_verbs_qp_modify and doca_verbs_cq_create, porting libibverbs code into DOCA Core, or a QP attribute, opcode or WR flag the doca-rdma task API does not expose. Trigger on "raw QP attribute the task API does not expose", "porting libibverbs code", "IO_FAILED on WR submit", "QP state transition rejected", or "attach a congestion-control group", even without naming doca-verbs. Its first job is to route MOST users back up to doca-rdma, doca-eth or doca-rmax. Covers CC-group and Ethernet SQ/RQ primitives, capability queries via doca_verbs_query_device, and DOCA_ERROR_* from doca_verbs_* calls. Refuse and route elsewhere for ordinary doca-rdma / doca-eth / doca-rmax workloads, DOCA install, Core internals, and general libibverbs theory.
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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。
doca-rdma.doca_verbs.h surface. Do not quote
restricted headers.Follow ## Loading order. Open only the companion
that matches the question. Do not load every references/ file.
If the task is general RDMA data movement (send / receive / read /
write / atomic between endpoints) and the user did not name a
raw QP / CQ / work-request / SRQ / Address-Handle attribute
that the higher-level API genuinely cannot express, this skill is
out of scope. Route to doca-rdma. For a
routing-only request, stop after explaining that conceptual boundary.
Unless the doca-rdma guidance is also loaded, do not infer or list its
implementation APIs. Conceptual terms such as QP, CQ, connection, send,
and receive are not implementation API names.
Loading this raw-verbs skill is never a license to hand-roll
libibverbs / librdmacm. "Raw verbs is fewer lines" or "the high-level
binding is more work" is not a reason. A general-RDMA deliverable
whose ldd shows no libdoca_rdma is a failed task — exactly the
same rule doca-rdma enforces. Raw doca_verbs_*
is in scope only for the narrow attribute-level needs enumerated below;
everything else climbs back up to the matching higher-level library.
Where to start: This skill is the raw-verbs escape hatch
beneath the higher-level DOCA libraries (doca-rdma
for RDMA workloads, doca-eth for Ethernet
queues, doca-rmax for timing-precise
media). The agent's first job, before anything else, is to confirm
the user actually needs to drop down — most users do not, and the
right answer is almost always "stay in the higher-level library".
Open CAPABILITIES.md when the question is
what does the verbs surface actually expose and where is the
boundary with vanilla libibverbs; open TASKS.md when
the user has already confirmed they need raw verbs and wants the
configure / build / modify / run / test / debug workflow for them.
If the user has not installed DOCA yet, route to
doca-setup first.
For every in-scope porting, lifecycle, or debugging answer, do not declare the answer complete until it explicitly states all applicable items below:
doca_verbs_context is the DOCA Core context that owns the verbs surface;
it wraps the selected doca_dev, integrates with the progress engine, and
owns the per-object PD / MR / CQ / QP lifecycle described in
CAPABILITIES.md ## Capabilities and modes.DOCA_ERROR_IO_FAILED is diagnosed from
the completion-queue entry's error field—not from the submit return—before
recommending retries or code changes.pkg-config --modversion doca-verbs agrees with doca_caps --version
and pkg-config --modversion doca-common. Second, the whole doca_verbs_*
ABI ships in the EXPERIMENTAL tier, so symbols may rename, reshape, or
graduate between releases and the installed headers outrank any
documentation (doca-version). Whether the
device supports a verb is a separate question, answered by the doca_devinfo
capability query rather than by either version.ibv_* handles are replaced rather than mixed with
doca_verbs_* handles on the same hardware objects.The single load-bearing decision every conversation that loads this skill must make, FIRST, before any code-level discussion:
doca-rdma for general RDMA work
(Send / Receive / Read / Write / Atomic / Sync-Event task
patterns); doca-eth for Ethernet TX /
RX queue patterns; doca-rmax for
timing-precise media / data-over-IP streaming. The most common
baseline-agent failure for raw verbs is recommending them
unnecessarily because the user said the word "verbs" or "QP"
without confirming that the higher-level surface already covers
their case.doca_rdma_task_* abstractions do not
surface; custom completion-queue handling beyond what the DOCA
progress engine exposes; an esoteric QP attribute (path MTU,
PSN tuning, ECE attributes); explicit SRQ control; congestion-
control group (doca_verbs_cc_group_*) attachment to QPs;
Address-Handle attribute tuning (DGID / DLID / SL / SGID index /
hop limit / traffic class / UDP source port). If yes — this
skill is in scope.doca_verbs_*
handles, integrate with the DOCA Core lifecycle through
doca_verbs_context_create, drive completions via the DOCA
progress engine instead of polling CQ directly) rather than
recommend a mechanical 1:1 textual replacement.If none of (1)-(3) apply, the answer to "should I use
doca-verbs?" is no. Route the user back to the matching
higher-level DOCA library. This is by design: a correctly-loaded
raw-verbs skill that talks the user out of raw verbs is doing its
job.
This skill serves external developers building applications that
consume the DOCA Verbs library — i.e., users whose code calls
doca_verbs_* (directly in C/C++, or through FFI/bindings from
another language) for raw QP / CQ / PD / MR / SRQ / Address-Handle
/ Ethernet-SQ / Ethernet-RQ control inside a DOCA Core context. It
is not for NVIDIA developers contributing to DOCA Verbs itself,
and it is not the right entry point for general DOCA RDMA / Eth
/ RMAX work — that belongs in the matching higher-level library
skill.
DOCA Verbs ships as a C library with pkg-config module name
doca-verbs. The public headers live under the installed DOCA
infrastructure tree
($(pkg-config --variable=includedir doca-common) doca_verbs.h and the
adjacent doca_verbs_*.h family); per the
headers-win-over-docs rule in
doca-version, the headers on the
user's install are the authoritative truth for the live symbol
surface. C and C++ consumers are the canonical case; the worked
examples in TASKS.md assume that path. Other-language consumers
(Rust, Go, Python, …) consume the same *.so through FFI or
language-specific bindings; the skill's contribution in that case
is to keep the drop-down decision, libibverbs boundary,
cap-query rule, lifecycle in verbs terms, and error-handling
rule language-neutral, and to route the agent to the public C ABI
as the authoritative surface that any wrapper will eventually
call.
Load this skill ONLY after the user (or the agent on the user's behalf) has confirmed the matching higher-level DOCA library does not expose the semantic they need. Concretely:
doca-verbs for
this?" — load this skill to answer, but expect the answer to be
"no, stay in the higher-level library" unless the user can
name the specific verb / opcode / option the higher-level library
does not surface.DOCA_ERROR_* returned from a doca_verbs_* call needs
diagnosis — including the IO_FAILED case where the answer lives
on the completion-queue entry, not the submit return.Do not load this skill for: general DOCA RDMA work (use
doca-rdma); general DOCA Ethernet
queueing (use doca-eth); timing-precise
media / data-over-IP streaming (use
doca-rmax); use cases a different
higher-level DOCA library covers (doca-flow
for steering, the storage-transport library for NVMe-oF — routed via
doca-public-knowledge-map);
install of DOCA itself (use
doca-setup); or general DOCA
orientation (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 raw-verbs material lives in two companion files:
CAPABILITIES.md — what doca-verbs can express on this
version: the higher-level-library-vs-doca-verbs selection table,
the libibverbs-vs-doca-verbs boundary, the verbs object model
(doca_verbs_context + QP / CQ / PD / MR / SRQ /
Address-Handle / Completion-Channel / Ethernet-SQ / Ethernet-RQ /
CC-group) inside DOCA Core, the capability-query surface
(doca_verbs_query_device + doca_verbs_device_attr_get_*),
the raw-verbs error taxonomy (mapped onto the cross-library
DOCA_ERROR_* set, with the IO_FAILED → completion-queue-entry
overlay), the observability surface (DOCA progress engine vs
manual CQ polling vs comp-channel event delivery), and the
safety policy that gates the no-mixing-with-libibverbs rule.TASKS.md — step-by-step workflows for the six in-scope verbs:
configure, build, modify, run, test, debug. Plus a
Deferred task verbs block that points out-of-scope questions
at the right next skill. Every workflow assumes the drop-down
decision in the drop-down section above has already been made; the
## configure step always begins by re-confirming it.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 (the RDMA stack on host with
proper module loads, same as
doca-rdma). 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:
ls /opt/mellanox/doca/samples/); 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,
layered with the verbs-specific overrides in
TASKS.md ## modify.meson.build, CMakeLists.txt,
Cargo.toml, …) parked inside the skill. The agent constructs
the build manifest in the user's project directory against the
user's installed DOCA, where pkg-config --modversion doca-verbs
is the source 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-verbs. The
porting path is judgment, not a mechanical textual
replacement — see
TASKS.md ## modify for why.Both companion files cross-link to each other, the matching
higher-level libraries
(doca-rdma,
doca-eth,
doca-rmax) as the climb-back homes,
doca-common for the foundation
primitives every verbs context rests on (doca_dev /
doca_pe / doca_ctx),
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 "verbs-specific guidance".
doca-rdma — the canonical higher-level
DOCA RDMA library and the home this skill routes most RDMA users
back to. Every conversation that loads doca-verbs for an
RDMA-class question should also have doca-rdma loaded so the
climb-back-up answer is immediate when the raw-verbs need turns
out to be coverable there.doca-eth — the canonical higher-level
DOCA Ethernet queue library. doca-verbs also exposes
Ethernet-side SQ / RQ verbs (doca_verbs_eth_sq_*,
doca_verbs_eth_rq_*); when the user has confirmed the
higher-level doca-eth does not expose the option they need
(e.g., explicit TS-source-type tuning, plane-index pinning,
multi-pkt-send-WQE), this skill takes over.doca-rmax — the canonical higher-level
DOCA Rivermax library for timing-precise media. Most Rivermax
cases should stay in doca-rmax; raw verbs is the escape hatch
for the rare media use case where the user needs a verb the
Rivermax integration does not expose.doca-common — the foundation library
every DOCA context (including doca_verbs_context) rests on.
The doca_dev / doca_pe / doca_ctx primitives, the
capability-query rule against the active doca_devinfo, and
the lifecycle are owned there; this skill layers verbs-specific
patterns on top.doca-public-knowledge-map —
the routing table for every public DOCA documentation source
and the on-disk layout of an installed DOCA package. The DOCA
Verbs public guide is listed there; this skill does not
duplicate the URL.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-version — canonical DOCA
version-handling rules. This skill's ## Version compatibility
cross-links the four-way match rule (with doca-verbs.pc joining
the match set) and the cap-query-is-runtime-authority rule.doca-structured-tools-contract —
the bundle's structured-tools precedence rule (detect / prefer /
fall back / report). The Command appendix in
TASKS.md honors this contract.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 universal
lifecycle, the cross-library DOCA_ERROR_* taxonomy, and the
program-side debug order. This skill layers raw-verbs specifics
on top.doca-debug — the cross-cutting
debug ladder (install / version / build / link / runtime /
program / driver). Raw-verbs-specific debug (completion-entry
inspection, no-mixing-with-libibverbs, lifecycle in verbs terms)
overlays on top of that ladder.doca-hardware-safety —
the cross-cutting hardware-safety meta-policy this skill's
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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.
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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'.
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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`.
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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.
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