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 locate authoritative NVIDIA DOCA information without the source tree: the docs.nvidia.com page for a library/service/tool, which DOCA libraries are installed and at what version, a sample on disk or GitHub, a path under /opt/mellanox/doca, or a 404'd/renamed doc URL. Activate on implicit phrasing only when the conversation already names DOCA, BlueField, ConnectX, or /opt/mellanox. Do not activate for generic 'which version is installed' or 'where is the sample' questions with none of that context. Refuse and route elsewhere for hands-on programming, env prep, API tutorials, or hardware/firmware mutation — those belong to doca-programming-guide, doca-setup, the per-library skills, and doca-hardware-safety.
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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。
Where to start: Reach for this skill whenever the question is "where does
the authoritative answer live?" — a docs page, the on-disk install layout, a
sample, or an NGC catalog entry. Read ## Public documentation entry points
first; then jump to the routing-table section that matches the user's intent.
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. For out-of-scope
requests, name the skill that owns them and stop.
Load this skill whenever the user asks anything about NVIDIA DOCA where the
agent needs to locate authoritative information without access to the
DOCA source tree. That includes documentation-routing questions about
installing DOCA, building a sample, learning a DOCA library (Flow, DPA, Comm
Channel, GPUNetIO, …), debugging an error, finding an API or error reference,
finding a sample, release notes, or the developer forum. This skill locates
the authoritative answer; hands-on installation, building, tutorials, and
debugging route to the workflow-owning skills named in the frontmatter and
## Related skills.
This skill is intentionally a routing table, not a tutorial. Pick the entry that matches the user's intent, fetch the URL or inspect the local install path, and only then answer.
When a user opens with an open-ended orientation question ("I'm new with DOCA, how do I start?", "can you guide me?", "what's the easiest way to try DOCA?"), the agent does not have enough information yet to pick a path. Asking these four questions before drilling avoids wasted recommendations that the user cannot actually execute on their setup. Ask them as a single short message; do not interrogate one-at-a-time.
| Question | Why it matters | What it routes |
|---|---|---|
| 1. What OS are you on? macOS, Windows, Linux laptop, cloud VM, lab Linux box, BlueField OS itself? | DOCA installs natively only on supported Linux distributions; macOS / Windows users cannot install it at all. | Picks between the four DOCA acquisition paths in doca-setup ## no-install. macOS / Windows / no-Linux → Path 0 (NGC container). Supported Linux → Path A or B per the Installation Guide. |
| 2. What hardware do you have? No NVIDIA hardware, ConnectX SmartNIC, BlueField as a SmartNIC in a host, BlueField as a standalone DPU, not sure? | Real-traffic runtime needs a real NIC; build / read / learn does not. The user's hardware decides which DOCA libraries are even relevant. | Picks the runtime story (container is build-only without hardware). Filters which libraries make sense to learn (Flow needs a real port to do anything visible; Comch needs a host ↔ DPU pair). |
| 3. What's your goal? Just exploring, building a small first app on a specific library (Flow / RDMA / Comch / Telemetry / GPUNetIO / DPA / …), running an existing reference application, operating a service (DMS / DTS / BlueMan / Firefly), or something else? | The bundle's first-app workflow (doca-programming-guide ## modify) starts from a shipped C sample and edits down. The right sample depends on the library the user is targeting. | Picks which library skill (if any) to load next. If the user does not yet know which library — that itself is a routing answer (see the Library- and module-specific guides table above and let the user pick). |
| 4. Which language do you plan to write the program in? C / C++, Rust, Go, Python, other? | DOCA's public surface is a C ABI. Non-C consumers go through FFI / language bindings (doca-programming-guide CAPABILITIES.md ## Capabilities and modes and the per-library skill). The C samples are the reference even when the user's language is not C. | Picks whether the agent's first-app guidance is direct C build or FFI / bindings against the C ABI. Does not change which sample the agent points at first. |
The four-question gate applies when an open-ended orientation, install, build, or run recommendation depends on the user's environment. For that class, never recommend a specific install path, container tag, or runnable sample without first having the answers to questions 1–3 (question 4 is needed for the first-app workflow but not for orientation itself). Pure documentation lookups — a URL, API reference, sample location, version reference, or stale-link recovery — skip this gate and route directly. If the user cannot or will not answer a required question, state which environment-dependent recommendation cannot be made, give only the safe version-agnostic umbrella documentation route, and do not guess the missing value. Volunteering specific commands before this is the single most common failure mode for DOCA orientation.
If the user has already volunteered some of the information in their first message, mark those questions answered and only ask the rest. Do not re-ask what the user has already told you.
When the user asks something, route as follows:
| User intent | First place to look |
|---|---|
| "How do I install DOCA?" | Installation Guide + Downloads page (Public documentation entry points). |
| "How do I start with DOCA — what's the very first thing?" | Developer Quick Start Guide if the user has BlueField + host hardware; otherwise doca-setup ## no-install Path 0 (NGC container). Use the four questions in First-contact discovery to pick. |
| "Do I need a BlueField? A SmartNIC? Or just DOCA-Host?" | Overview page (doca-overview/index.html) plus the Installation Guide's DOCA installation profiles section. The bundle does not pick the hardware for the user — these two pages do. |
| "Which package gives me library X?" | Installation Guide section on package matrix; then verify on the user's system with pkg-config --list-all. |
| "Show me a sample that uses library X." | /opt/mellanox/doca/samples/doca_<X>/ if installed; otherwise the per-library guide on docs.nvidia.com/doca/sdk/ (each library guide documents the samples shipped with it). |
| "How do I build a DOCA sample?" | Library guide + the sample's own meson.build inside /opt/mellanox/doca/samples/.... |
| "What is the API for X?" | Library guide; confirm by inspecting headers under $(pkg-config --variable=includedir doca-common) (commonly /opt/mellanox/doca/include/ on DOCA 3.3+; /opt/mellanox/doca/infrastructure/include/ on legacy / split-profile installs). |
"Why does my build fail with pkg-config not finding doca-...?" | "Layout of an installed DOCA package" (PKG_CONFIG_PATH), then load doca-setup for environment preparation and debugging; do not silently mutate the environment. |
| "What is the latest version / what changed?" | Release Notes. |
| "Is there a newer DOCA — should I upgrade / downgrade / roll back?" | doca-upgrade for the detect → report → ASK → guided-upgrade discipline (never auto-upgrade); Release Notes for what the target release contains. |
| "Is the component I depend on being sunset / deprecated?" | Release Notes (lifecycle / deprecation notices), reached via the doca-upgrade sunset-awareness check; do not assert deprecation from memory. |
| "What does the DOCA version number mean? Is LTS still supported?" | Compatibility Policy (Public documentation entry points table). |
| "How do I run DOCA on Kubernetes / provision a DPU?" | DOCA Platform Framework on GitHub. |
| "I have a behavior I cannot explain." | Release Notes (known issues) first; then the DOCA Developer Forum. Never go to the forum first. |
| Any intent not matched above | Start at the DOCA SDK index and the Libraries / Services / Tools umbrella page in references/map.md (public documentation entry points). If the authoritative route remains unresolved, say so and use the Developer Forum; do not invent a URL or component name. |
This file is intentionally a map, not a tutorial. It does not contain:
meson.build files).When the agent needs those, it should fetch the matching public document or read the matching installed file. As more focused skills are added, they should appear in SKILLS.md and link back here for the "where to look" lookups.
For env preparation — install verification, build environment
(pkg-config, headers, hugepages, devlink), env-class debugging, and
the I have no install yet path with the public NGC DOCA container
on the catalog Tags page as the universal Stage-1 fallback for any
user on macOS, Windows, or Linux without DOCA — load
doca-setup. That skill stops at "the
install is healthy and the env is ready".
For general DOCA programming patterns shared across every library —
the canonical pkg-config doca-<library> build pattern (C/C++ direct
or non-C via FFI), the universal derive a custom first app from a
shipped sample workflow, the universal lifecycle (cfg-create → init → start → use → stop → destroy), the cross-library
DOCA_ERROR_* taxonomy, and the program-side debug order — load
doca-programming-guide. Each
library skill extends its ## modify (first-app derivation) with
library-specific overrides.
For DOCA Flow internals — port and representor setup, pipe creation,
match/action specifications, pipe validation before hardware programming,
Flow counters and traces, Flow version compatibility, and debugging
DOCA_ERROR_* failures from the Flow API — load
doca-flow. That skill assumes this one is
available for shared documentation routing and install-layout lookups,
doca-setup for environment preparation, and doca-programming-guide
for the cross-library programming patterns it layers on top of.
For a concrete local debug loop against a running system — reproducing a
build, link, or runtime failure on the installed host, narrowing it to a
component, and iterating on it — doca-debug
owns the edit-run-observe cycle and should be loaded alongside this skill.
Handing off that cycle is not a reason to go quiet: a debug answer still
needs the two things this skill owns, and it should supply them in the
same breath — the /opt/mellanox/doca/... install layout that says where
the samples, libraries and pkg-config files actually live, and the
canonical docs.nvidia.com page for the library involved.
Question shapes this skill routes live under references/map.md.
Load this file first. Then open only the matching companion under
references/ — one file, not the whole directory. Do not follow a
second companion for the same answer.
| Question class | Open this filename under references/ |
|---|---|
| Example question shapes; GitHub sources; on-disk layout; version; URL audit; ground rules; doc entry points | map.md |
| Per-library public guides | libraries.md |
| In-bundle DOCA services | services.md |
| In-bundle DOCA tools | tools.md |
| Externally-productized DPU, service, fabric, orchestration, or firmware products | external-dpu.md |
Each of those files carries its own three-part route-not-answer
contract (recognize the class, name the boundary, give the public URL).
Do not open every companion. For fabric, orchestration, firmware, and
switch products, start at external-dpu.md and continue from its last
section.
The public documentation entry-point table is the last section of
references/map.md.
Public GitHub source locations live in
references/map.md ## Public source code: GitHub.
Do not invent a repository URL.
The on-disk /opt/mellanox/doca layout table lives in
references/map.md ## Layout of an installed DOCA package.
Load that companion; do not invent install paths from memory.
Version-detection routing lives in
references/map.md ## Where to find the version.
Then load doca-version for the four-source chain.
The inline URL-audit history lives in
references/map.md ## URL audit.
Keep stale-link recovery there, not in this file.
Per-library public guide rows live in
references/libraries.md.
Open that companion for a single-library docs route.
In-bundle DOCA service guide rows live in
references/services.md.
Open that companion for DMS / Firefly / Argus / UROM-service docs routes.
Fleet / Kubernetes orchestration is out of this bundle's SDK scope.
The persona/scale entry-point lives in
references/services.md.
Do not hand-roll per-host bfb-install loops at that scale.
In-bundle DOCA tool guide rows live in
references/tools.md.
Open that companion for caps / bench / tune / tracer docs routes.
The 26-product route-not-answer table starts in
references/external-dpu.md
and continues from its last section for fabric, orchestration, firmware
and switch products.
Recognize the class, name the monorepo boundary, and route with a public
URL plus a Developer Forum search hint. Do not synthesize those products
from training knowledge.
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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.
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