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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RDMA data movement on NVIDIA BlueField/ConnectX NICs (RoCE/InfiniBand) with DOCA RDMA, instead of hand-written libibverbs/rdma_cm. Use when the user moves data between processes or hosts over the NIC, or hits "one-sided read returns permission denied", "completions never arrive after submit", "connection callback never fires", atomic compare-and-swap over RoCE, or DOCA_ERROR_FULL on the send queue under burst, even without naming DOCA RDMA. Covers bringing up an RDMA context on a doca_dev, connection methods (RDMA CM, bridge/OOB, or gRPC exchange of doca_rdma_export()), the eleven task types (Send/Receive/Send-Imm, Read/Write/Write-Imm, Atomic CmpSwap/FetchAdd, Get/Set/Add Remote Sync Event), matching mmap + RDMA permissions, queue and connection sizing, doca_rdma_cap_* queries, and DOCA_ERROR_* from RDMA calls. Raw QP/verbs control belongs to doca-verbs. Refuse and route elsewhere for general RDMA / ibverbs theory (queue pairs, MRs, RoCE vs IB), installing DOCA itself, or non-RDMA DOCA libraries.
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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_cap_* before changing the task
type.Follow Loading order below. Open the tasks companion for configure / build / run. Open the capabilities companion for the task taxonomy and safety policy. Do not open every companion file.
When this skill is in scope, the user is asking for DOCA RDMA. The
program you produce must link libdoca_rdma and call the
doca_rdma_* API (directly in C/C++, or through a thin FFI/cgo shim
from another language). Do NOT implement the request with raw
libibverbs / librdmacm / RDMA-CM and call it done. Those move bytes
but completely bypass DOCA — which defeats the entire purpose of using
this library, loses the DOCA programming model (progress engine, task/
event lifecycle, capability discovery, portability across BlueField/
ConnectX generations), and is the single most common failure mode.
"Raw verbs is fewer lines" / "it avoids building a DOCA binding layer"
is not an acceptable reason to bypass DOCA. The correct low-friction
path for a non-C language (Go, Rust, Python, …) is not to re-bind
the whole API — it is to start from a shipped DOCA RDMA sample under
$(pkg-config --variable=prefix doca)/samples/doca_rdma/ (substitute the
module resolved on the target) and wrap its entry functions in
a thin cgo/FFI shim built with #cgo pkg-config: doca (Go) or the
equivalent. That shim is a single small file, not "a large custom
binding layer". See ## build Step 0 and
If pkg-config doca or the DOCA build fails, fix the build (module
name, PKG_CONFIG_PATH, sample path) — do not silently fall back to
verbs. A binary whose ldd shows no libdoca_rdma is a failed
DOCA-RDMA task, regardless of whether bytes moved.
Concrete path (verified on DOCA 3.3, one RoCE port, two processes):
meson.build reads ../../../VERSION, so a copied samples tree does
not configure. Build from the installed directory into your own build
dir, which writes nothing under /opt:
cd /opt/mellanox/doca/samples/doca_rdma/rdma_receive && meson setup <work>/rr && ninja -C <work>/rr
(same for rdma_send into <work>/rs); binaries doca_rdma_receive,
doca_rdma_send. Confirm flags with --help.-ld), then waits for Enter before reading the peer's
(-re); the receiver must get Enter first:
( sleep 6; echo ) | <work>/rr/doca_rdma_receive -d <dev> -g <gid> -ld <work>/recv.desc -re <work>/send.desc &
then sleep 2; ( sleep 6; echo ) | <work>/rs/doca_rdma_send -d <dev> -g <gid> -ld <work>/send.desc -re <work>/recv.desc; wait.
Green: the receiver logs Got from sender: "..." and both print
Sample finished successfully. Failed to open the file ... for reading means a side read before the peer wrote: fix the ordering,
not the code./opt/mellanox/doca/VERSION kept three levels above the sample
directory, change only the payload and the receiver's print, and keep
the same run sequence. Never write a new RDMA program from scratch,
never edit the installed samples, and never fall back to raw verbs,
rdma_cm code, ib_write_bw, rping or a loopback.Device and GID. Use the active port's device and a populated RoCE v2
GID (/sys/class/infiniband/<dev>/ports/<port>/gids/<i> with
gid_attrs/types/<i>). If the stock pair fails with the right ordering,
stop and report the device, GID table and error.
Where to start: This skill assumes DOCA is already installed and
the user is doing hands-on RDMA work on a BlueField / ConnectX /
host with DOCA. 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
RDMA express on this version. If the user has not installed DOCA
yet, route to doca-setup first.
The CLASSES of RDMA 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_rdma_cap_task_*_is_supported against a doca_devinfo) in
pkg-config --modversion doca)
pinned in ## configure.DOCA_ERROR_* from an RDMA call mean and which
layer caused it?" — worked example: "DOCA_ERROR_BAD_STATE from
doca_rdma_connection_disconnect". Answered by the RDMA overlay
on the cross-library taxonomy in
doca-debug.This skill serves external developers building applications that
consume the DOCA RDMA library — i.e., users whose code calls
doca_rdma_* (directly in C/C++, or through FFI/bindings from
another language) to do RDMA data movement between two sides
(host↔host, host↔BlueField, DPU↔DPU, or SF↔SF on a BlueField). It
is not for NVIDIA developers contributing to DOCA RDMA itself.
Language scope. DOCA RDMA normally ships as a C library inside the
umbrella doca pkg-config module (public header doca_rdma.h, shared
object libdoca_rdma.so); split installs may expose a per-library module.
Always discover the module on the target (pkg-config --list-all | grep -i doca) rather than assuming either layout. The
shipped samples are written in C
(NVIDIA's choice). C and C++ consumers are the canonical case and
the worked examples in the tasks companion 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 lifecycle, capability-discovery, permission-matrix,
error-taxonomy, and connection-method guidance language-neutral, and
to route the agent to the public C ABI as the authoritative surface
that any wrapper will eventually call. The non-C deliverable is still
a DOCA program: a thin cgo/FFI shim over the shipped doca_rdma
sample that links libdoca_rdma (#cgo pkg-config: doca) — never a
raw-libibverbs reimplementation chosen to avoid wrapping DOCA (see the
mandate at the top of this file).
Load this skill when the user is doing hands-on DOCA RDMA work, in any language. Concretely:
doca_dev. The Core order is
create → configure (task set_conf + mmap/RDMA permissions +
optional set_*) → start → connect → use → stop → destroy.
Configuration MUST finish before doca_ctx_start().doca_rdma_connect_to_addr() / doca_rdma_start_listen_to_port()
/ doca_rdma_connection_accept()), bridge / OOB
(doca_rdma_bridge_*), or gRPC (out-of-band exchange
of doca_rdma_export() output).doca_mmap correctly for the chosen task
type (Read needs RDMA-read + local read-write; Write needs
RDMA-write; Atomic needs RDMA-atomic; Send needs only local
read-write).doca_rdma_set_* and
doca_rdma_cap_get_* to size queues, list lengths, and
transport-type selection.doca_devinfo.DOCA_ERROR_* returned from an RDMA call (lifecycle
vs. permission vs. capability vs. driver-below) and the connection
state-machine transitions (doca_rdma_set_connection_state_callbacks).Do not load this skill for general DOCA orientation, install of
DOCA itself, or non-RDMA 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 RDMA-specific material lives in two companion files:
doca_rdma_set_transport_type(), NOT the
link-layer (IB vs RoCE) which is inherited from the device
port configuration, the
capability-query surface (doca_rdma_cap_*), the RDMA error
taxonomy (mapped onto the cross-library DOCA_ERROR_* set), the
observability surface (per-task events, connection state callbacks),
and the safety policy that gates permission and export decisions.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 or BlueField where DOCA is already
installed at the standard location and the user has the privileges
their public install profile expects. 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:
$(pkg-config --variable=prefix doca)/samples/doca_rdma/<name>/
(using the module resolved on the target). 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 RDMA-specific overrides in
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
is the source of truth (resolve the module per ## build
Step 0 — prefer doca-rdma when it resolves).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 "RDMA-specific guidance".
doca-public-knowledge-map — the
routing table for every public DOCA documentation source and the
on-disk layout of an installed DOCA package. Always available
alongside this skill.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-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 RDMA specifics on
top.doca-debug — the cross-cutting
debug ladder (install / version / build / link / runtime /
program / driver). RDMA-specific debug (state-machine transitions,
permission failures, connection callbacks) overlays on top of
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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.
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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.
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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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