mcpbeat

Doca Public Knowledge Map

nvidia/doca-public-knowledge-map

> Use this skill when the user needs to locate authoritative information about NVIDIA DOCA without access to the source tree — finding the right docs.nvidia.com page for a library/service/tool, identifying which DOCA libraries are installed and at what version, locating a sample on disk or its public GitHub source, decoding an on-disk path under /opt/mellanox/doca, or recovering from a 404'd or renamed doc URL. Trigger even when the user does not explicitly mention 'DOCA' or 'docs.nvidia.com' — typical implicit phrasings include 'where can I read about this library', 'which version do I have installed', 'where is the sample for X', 'this NVIDIA URL is broken what is the new one', 'what is in /opt/mellanox/doca', or 'where can I ask NVIDIA about this'. Refuse and route elsewhere for hands-on programming patterns, env prep and install verification, library API tutorials, or hardware/firmware mutation — those belong to doca-programming-guide, doca-setup, the per-library skills, and doca-hardware-safety.

29k tokens
context cost
the whole folder, loaded on every use
6
files
instructions only
0
copies elsewhere
how many repositories repackaged it
2778
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/NVIDIA/skills --skill doca-public-knowledge-map

What comes with it

101 749 bytes besides the instruction
BENCHMARK.md
evals/evals.json
references/map.md
skill-card.md
skill.oms.sig

What it tells the agent to use

found in the instruction text
WebFetch fetches pages from the network

The instruction itself

17 sections, as written by the author

DOCA Public Knowledge Map

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.

When to load this skill

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.

First-contact discovery — the four questions to ask before any drill-down

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.

Topic to "where to look first" routing table

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. If the authoritative route remains unresolved, say so and use the Developer Forum; do not invent a URL or component name. |

What this skill deliberately does not cover

This file is intentionally a map, not a tutorial. It does not contain:

  • DOCA library tutorials (those live in the per-library guides).
  • API reference (lives in headers and the per-library guides).
  • Build-system deep-dives (lives in the Installation Guide and the sample

meson.build files).

  • Performance tuning, driver-level setup, OFED interaction (lives in the

Installation Guide and library-specific guides).

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

(nvcr.io/nvidia/doca/doca) 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.

Example questions this skill answers well

See references/map.md.

Library- and module-specific guides

See references/map.md.

DOCA services

See references/map.md.

DOCA tools

See references/map.md.

Externally-productized DOCA software — not in this bundle, but here is where to route

See references/map.md.

Public source code: GitHub

See references/map.md.

Layout of an installed DOCA package

See references/map.md.

Where to find the version

See references/map.md.

URL audit

See references/map.md.

Ground rules for any agent using this skill

See references/map.md.

Public documentation entry points

See references/map.md.

How to use it

Copy the folder

Take nvidia/doca-public-knowledge-map from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.