NVIDIA DOCA Public Knowledge Map
Routes agents to authoritative DOCA docs, samples, versions, and install paths.
The skill mainly routes to documentation, paths, and forums; it requests no credentials, gives no destructive defaults, separates hardware mutation into a safety skill, and points to authoritative sources. Points are deducted because it does not systematically disclose network data flows, user-confirmation boundaries, privacy handling, or rollback procedures.
SKILL.md provides detailed triggers, routing tables, discovery questions, prerequisites, and out-of-scope handoffs, with supporting material in references/map.md. However, static files do not prove that key paths run, the benchmark dataset is unavailable, some referenced material was not fully verifiable in this review, and abnormal-input failure feedback is thin; therefore the score stays below the static ceiling of 10.
The audience, common question shapes, non-goals, and implicit triggers are described fairly clearly, covering local installs, public documentation, GitHub, and NGC routing. Points are deducted because the trigger language initially broadens to nearly any DOCA question, Chinese-language support is not demonstrated, and mainland-China reachability or fallback paths for docs.nvidia.com, GitHub, and forums are not addressed.
The documentation uses progressive disclosure, moving detailed tables into references/map.md, and includes related skills, examples, dependencies, and version clues. Points are deducted for missing recommended Instructions and Examples sections in SKILL.md, missing author metadata, inconsistent license wording between the front matter, skill card, and repository license, a version mismatch between the card and assessed revision, and limited skill-specific maintenance and changelog information.
The routing tables are directly useful for locating authoritative DOCA documentation, install paths, samples, and renamed URLs, and the skill requires environment discovery before recommendations. Points are deducted because the skill does not itself provide tutorials or verified results, many outcomes depend on later network access or live-install inspection, and the benchmark claims cannot be independently checked because its source dataset is absent; static calibration therefore limits the score to 7 or below.
The files contain many concrete URLs, paths, commands, and cross-references, while BENCHMARK.md supplies a limited evaluation summary. Points are deducted because external links were not independently validated here, the benchmark dataset and full trial records are missing, and no committed test suite covers the key routing paths; under static calibration the score cannot exceed 5.
- Do not treat this skill as an installation, programming, debugging, or hardware-mutation tutorial; follow its handoff boundaries.
- Before relying on docs.nvidia.com, GitHub, or forums, confirm network reachability and verify the current version, URL, and local installation state.
- License, version, and evaluation metadata contain inconsistencies or gaps; do not treat the BENCHMARK.md summary as independently reproducible evidence.
What does this skill do, and when should you use it?
This is a knowledge-routing skill for NVIDIA DOCA, not a programming tutorial. It maps user intent to authoritative docs.nvidia.com pages, local install paths, samples, GitHub sources, version references, NGC entries, and replacement URLs. It can identify installed DOCA libraries and versions and help recover from renamed or broken documentation links. Hands-on installation, environment setup, API tutorials, and hardware or firmware changes belong to related skills.
Reads a DOCA-related request and selects an authoritative entry point such as the Installation Guide, Quick Start, library guide, Release Notes, Compatibility Policy, Developer Forum, or GitHub; inspects the /opt/mellanox/doca installation layout; uses pkg-config --list-all to identify installed libraries; uses pkg-config's includedir to locate headers; finds local samples and public GitHub sample sources; and routes broken or renamed documentation URLs to replacement locations.
- A newcomer who needs environment questions answered before receiving DOCA installation or run guidance.
- A developer looking for the official guide, API reference, or release notes for a DOCA library.
- A Linux user checking which DOCA libraries and versions are installed locally.
- A developer locating samples, headers, or pkg-config configuration under /opt/mellanox/doca.
- A user recovering from a 404 or renamed NVIDIA DOCA documentation URL.
What are this skill's strengths and limitations?
- Covers practical discovery tasks involving documentation, install layout, samples, versions, and broken links.
- Clearly separates knowledge routing from setup, programming, debugging, and hardware-operation responsibilities.
- Provides a four-question discovery gate for open-ended DOCA onboarding requests.
- It is a map rather than a tutorial and does not replace library programming, setup, or performance-tuning guidance.
- Some validation steps require a live DOCA installation at /opt/mellanox/doca.
- The supplied SKILL.md references references/map.md, but that file's detailed routing content is not included in the source material.
How do you install this skill?
Install it through the repository's standard skills CLI: npx skills add nvidia/skills --skill doca-public-knowledge-map --yes. The README states that cloning the repository or manually copying skill folders is unnecessary.
How do you use this skill?
After installation, ask a focused routing question such as “Where is the authoritative documentation for DOCA Flow?”, “Which DOCA libraries are installed on this system?”, or “This NVIDIA DOCA URL returns 404—where is the replacement?” Open-ended orientation, installation, or run recommendations should first establish the relevant environment; pure documentation, version, sample, and stale-link lookups can be routed directly.
How does this skill compare with similar options?
Unlike doca-setup, doca-programming-guide, and doca-flow, this skill primarily locates authoritative information; environment preparation, general programming patterns, and DOCA Flow implementation details are assigned to those related skills.