Update V8 Version
openinterpreter/openinterpreter
Bumps the pinned v8 and rusty_v8 versions in Codex, validates the release-candidate path with the v8-canary check, and traces failures to upstream build changes.
A skill your agent uses when the user is writing their first DOCA app or asking a library-agnostic programming question — picking a shipped sample to copy and modify, wiring the canonical pkg-config…
$ npx skills add NVIDIA/skills --skill doca-programming-guide -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install NVIDIA/skills doca-programming-guide --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/doca-programming-guide .claude/skills/doca-programming-guide && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "doca-programming-guide" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/doca-programming-guide into .claude/skills/doca-programming-guide/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "doca-programming-guide", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/NVIDIA/skills/tree/main/skills/doca-programming-guideType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add NVIDIA/skills --skill doca-programming-guide -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install NVIDIA/skills doca-programming-guide --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/doca-programming-guide .agents/skills/doca-programming-guide && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "doca-programming-guide" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/doca-programming-guide into .agents/skills/doca-programming-guide/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "doca-programming-guide", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add NVIDIA/skills --skill doca-programming-guide -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install NVIDIA/skills doca-programming-guide --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/doca-programming-guide .cursor/skills/doca-programming-guide && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "doca-programming-guide" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/doca-programming-guide into .cursor/skills/doca-programming-guide/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "doca-programming-guide", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/NVIDIA/skills.git --path skills/doca-programming-guide--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add NVIDIA/skills --skill doca-programming-guide -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install NVIDIA/skills doca-programming-guide --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/doca-programming-guide .gemini/skills/doca-programming-guide && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "doca-programming-guide" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/doca-programming-guide into .gemini/skills/doca-programming-guide/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "doca-programming-guide", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install NVIDIA/skills doca-programming-guideInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add NVIDIA/skills --skill doca-programming-guide -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/doca-programming-guide .github/skills/doca-programming-guide && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "doca-programming-guide" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/doca-programming-guide into .github/skills/doca-programming-guide/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "doca-programming-guide", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add NVIDIA/skills --skill doca-programming-guide -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install NVIDIA/skills doca-programming-guide --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/doca-programming-guide .opencode/skills/doca-programming-guide && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "doca-programming-guide" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/doca-programming-guide into .opencode/skills/doca-programming-guide/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "doca-programming-guide", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
doca-programming-guideA skill your agent uses when the user is writing their first DOCA app or asking a library-agnostic programming question — picking a shipped sample to copy and modify, wiring the canonical pkg-config…
Doca Programming Guide is an agent skill from NVIDIA/skills, published by the product's own GitHub organization. Use this skill when the user is writing their first DOCA app or asking a library-agnostic programming question — picking a shipped sample to copy and modify, wiring the canonical pkg-config doca-{library} + meson build (or FFI from Rust / Go / Python against the public C ABI), walking the cfg-create → init → start → use → stop → destroy lifecycle, validating a spec before commit, or decoding a DOCAERROR return with docaerrorgetdescr(). Trigger even when the user does not say "DOCA programming guide" — implicit…
Its SKILL.md is about 3.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files (for example `BENCHMARK.md`, `CAPABILITIES.md` and `TASKS.md`). Compatibility notes: No DOCA install required to read this skill (it is an overlay loaded against any DOCA artifact skill); the validation steps within DO require a live DOCA…
It works with Rust and Python. The repository describes itself as: Agent Skills for NVIDIA products — install into Claude Code, Codex, and other coding agents to run Physical AI, robotics, simulation, CUDA, and RAG workflows end to end. The licence is Apache-2.0.
3 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 0e0d506. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
github.comdocs.nvidia.comcatalog.ngc.nvidia.comFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
No DOCA install required to read this skill (it is an overlay loaded against any DOCA artifact skill); the validation steps within DO require a live DOCA install at /opt/mellanox/doca.
From compatibility in the SKILL.md frontmatter.
Doca Programming Guide loads about 3.4k tokens when it runs. Until then it costs about 259 tokens; SKILL.md has 1,578 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from NVIDIA/skills at commit 0e0d506, republished under its Apache-2.0 licence (© NVIDIA). 1,578 words, ~3,422 tokens.
.claude/skills/doca-programming-guide/SKILL.md (or your agent's skills folder). This skill also uses 6 other files; get the full folder from GitHub.Where to start: Read ## Audience to confirm the user
is consuming DOCA, not contributing to it. Then jump to the H2
that matches the verb (## modify for first-app derivation,
## build for the canonical build pattern, ## test for the test
loop, ## debug for the program-class debug ladder).
These are the CLASSES of program-class questions the skill is built to answer, each with one worked example. Library-specific overlays (Flow / DMS / Caps / …) live in the matching library skill; this skill answers the library-agnostic shape.
TASKS.md ## modify plus the canonical build
pattern in TASKS.md ## build.doca_rdma_*?"
Answered by the pkg-config doca-<library> pattern in
TASKS.md ## build (C/C++ Track 1) and the
FFI/bindings pattern in Track 2.doca_flow_pipe_* calls in my
program?" Answered by the cfg-create / init / start / use / stop /
destroy template in CAPABILITIES.md ## Capabilities and modes.DOCA_ERROR_* came back — what does it mean and what do I do?"
— worked example: "My code got DOCA_ERROR_BAD_STATE." Answered
by the cross-library doca_error_get_descr() rule in
CAPABILITIES.md ## Error taxonomyTASKS.md ## debug.CAPABILITIES.md ## Safety policy
and the layered program-class debug ladder in
TASKS.md ## debug.TASKS.md ## build (FFI against the public C
ABI) and the language-neutral lifecycle in
CAPABILITIES.md ## Capabilities and modes.TASKS.md ## sample-and-app-categorization,
which separates "the SDK is broken" from "the optional GPU /
RMAX / MPI stack is not on this BlueField".If the question is env-class (install / build env / hugepages /
devices), route to doca-setup. If it is
library-specific (Flow pipe topology, RDMA QP setup, DMS service
deploy), layer the matching library skill on top.
This skill serves external developers building applications that
consume DOCA libraries — i.e., users whose code calls one or more
doca_<library>_* symbols (directly in C/C++, or through FFI /
bindings from another language). It is programming with DOCA,
not programming of DOCA: it is not for NVIDIA developers
contributing to DOCA itself, and it does not assume access to the
DOCA source tree, internal NVIDIA tooling, or any non-public
information. The only inputs it ever points the agent at are the
ones any external user has: the public docs at
docs.nvidia.com/doca/sdk/,
the public catalog at
catalog.ngc.nvidia.com, the
public GitHub repos under
github.com/NVIDIA /
github.com/NVIDIA-DOCA, the
public developer forum, and the on-disk /opt/mellanox/doca tree
that the public DOCA install (or the public NGC DOCA container,
nvcr.io/nvidia/doca/doca) puts on the user's host. Where to find
and how to install questions are routed elsewhere — see Related
skills below.
Language scope. DOCA itself is a C library family; every shipped
sample in /opt/mellanox/doca/samples/ and every shipped reference
application in /opt/mellanox/doca/applications/ is C. C and C++
consumers are the canonical case for every prescriptive workflow in
this skill. Other-language consumers (Rust, Go, Python, …) consume the
same *.so libraries through FFI or language-specific bindings against
the public C ABI; the skill keeps the lifecycle, capability, error,
observability, and safety guidance language-neutral, and routes the
language-specific build / FFI work back to the consumer's own toolchain
without authoring wrappers.
Load this skill when the user has DOCA installed and the env-class
preconditions are already satisfied (i.e.,
doca-setup has produced a clean install
where pkg-config doca-<library> resolves, hugepages are mounted, and
devices are visible), and is now asking a question about how to
actually program against DOCA in a library-agnostic way:
pkg-config + meson build pattern any DOCA application
follows, regardless of which library it consumes.doca-setup because it
is a programming verb, not an env verb.cfg-create → init → start → use → stop → destroy) and how it manifests across libraries.DOCA_ERROR_* pattern, doca_error_t, and
doca_error_get_descr() — the cross-library shape, not Flow- or
RDMA-specific overlays.Do not load this skill for:
pkg-config not find doca-flow?
How do I mount hugepages? I don't have DOCA installed yet — can I
use a container?" — env-class questions belong in
doca-setup, which owns install
verification, env preparation, env-class debugging, and the
no-install → NGC container fallback path for any user on macOS,
Windows, or Linux without DOCA.doca-public-knowledge-map.doca-flow).This is a thin loader. The body keeps only the orientation needed to pick the right next file. The substantive material lives in two companion files:
CAPABILITIES.md — what every DOCA program looks like in the
abstract: the shape of DOCA (host / DPU / switch, libraries / apps /
services / tools, build flavor selection rationale), the universal
program lifecycle, the unified version-compat rule that applies to
any program linking DOCA, the cross-library DOCA_ERROR_* taxonomy,
the program-side observability surface (DOCA logging, capability
snapshots), and the program-side safety policy that every library
skill inherits.TASKS.md — step-by-step workflows for the six in-scope programming
verbs: configure, build, modify, run, test, debug. The
## modify verb owns the universal derive a custom first app from
a sample pattern that every DOCA library skill extends with
library-specific overrides; the ## build verb owns the canonical
pkg-config doca-<library> build pattern in two language tracks
(C/C++ direct, non-C via FFI).This skill assumes doca-setup has already
produced a clean install. It does not cover env preparation; that
is doca-setup's job, including the no-install → NGC container
(nvcr.io/nvidia/doca/doca) fallback for users on macOS, Windows, or
Linux without DOCA.
This skill is agent guidance, not a samples or templates bundle. It deliberately does not contain — and pull requests should not add:
TASKS.md ## modify) — for C/C++ users — or to
route non-C users to the public C ABI surface that their bindings
will call (TASKS.md ## build Track 2), not to
author the wrapper.meson.build, CMakeLists.txt,
Cargo.toml, setup.py, go.mod, …) 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-<library> 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.SKILL.md first to confirm the user's question is a
programming-class question (not env, not routing, not library-API).configure, build,
modify, run, test, debug — see TASKS.md.If the user is asking for a first app in a specific library, walk
through TASKS.md ## modify for the universal
copy-and-edit pattern, then hand off to the library skill (e.g.
doca-flow) for the library-specific values
to swap.
doca-public-knowledge-map
— public DOCA documentation routing and the on-disk layout of an
installed DOCA package. This skill defers all "where is X
documented", "where on disk is Y", and "how do I check the
installed version" questions to the knowledge-map.doca-setup — env preparation, install
verification, env-class debugging, and the I have no install yet
procedure with the NGC container (nvcr.io/nvidia/doca/doca) as
the universal Stage-1 fallback for any user on macOS, Windows, or
Linux without DOCA. This skill assumes doca-setup's preconditions
are already satisfied.doca-flow — DOCA Flow on BlueField.
Extends this skill's ## modify (universal first-app derivation)
with the Flow-specific list of fields to swap.© NVIDIA, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 6 other files in skills/doca-programming-guide of NVIDIA/skills.
Open the folder on GitHubat commit 0e0d506
Doca Programming Guide next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Doca Programming Guide this skillNVIDIA/skills | 3.5k | — | ~3.4k | Automated safety check: Pass | Apache-2.0 | |
| Update V8 Versionopeninterpreter/openinterpreter | 69k | 2 repos | ~845 | Automated safety check: Pass | Apache-2.0 | |
| Firecrawl Page Scrape Integrationfirecrawl/firecrawl | 189k | 1 repos | ~944 | Automated safety check: Pass | ISC | |
| Fory Releaseapache/fory | 4.6k | — | ~2.9k | Automated safety check: Pass | Apache-2.0 | |
| Apple Container Test RunnerRustPython/RustPython | 22k | — | ~467 | Automated safety check: Pass | MIT | |
| Release Skillsnexmoe/eve | 421 | 3 repos | ~3.3k | Automated safety check: Pass | None |
openinterpreter/openinterpreter
Bumps the pinned v8 and rusty_v8 versions in Codex, validates the release-candidate path with the v8-canary check, and traces failures to upstream build changes.
firecrawl/firecrawl
Adds Firecrawl's /scrape endpoint to application code to pull markdown, HTML, links, screenshots or structured data from a single known URL.
apache/fory
Prepare an Apache Fory release candidate from a clean release branch, including the version bump, RC tag, JVM staging, ASF source artifacts, SVN upload, and vote email.
RustPython/RustPython
Runs RustPython tests inside a Linux container built with Apple's container CLI, so macOS users can compare Linux results with their local ones.
nexmoe/eve
Universal release workflow. An agent skill from nexmoe/eve.
RustPython/RustPython
Implements missing CPython C-API functions in RustPython's crates/capi, mapping each header to its module with the pyo3-ffi header split.
NVIDIA/skills
A skill your agent uses when the user wants to deploy, run, debug, tear down, or call the REST API of the RTVI-CV 2D detection / tracking microservice.
NVIDIA/skills
Generates, validates, compares and explains HOLOLINK_def.svh macro files for the HSB IP, using bundled Python scripts and asking before it writes anything.
NVIDIA/skills
Runs and validates an end-to-end Mission Control demo in a locally installed Isaac Sim, with a Nova Carter robot driven through a Python server.
NVIDIA/skills
Orchestrates defect image generation for PCBA, metal surface and glass inspection with NVIDIA Cosmos AnomalyGen on OSMO, from cold-start Day 0 to real-photo Day 1 labeling.
NVIDIA/skills
Orchestrates video data augmentation and auto-labeling workflows on OSMO, from flow selection and preflight checks to submission, monitoring and output download.
NVIDIA/skills
Runs NVIDIA TAO Data Services KPI analysis on object detection results, comparing predictions to ground truth and writing per-class precision, recall and AP to a CSV.
A skill your agent uses when the user is writing their first DOCA app or asking a library-agnostic programming question — picking a shipped sample to copy and modify, wiring the canonical pkg-config…. Doca Programming Guide is an agent skill from NVIDIA/skills, published by the product's own GitHub organization. Use this skill when the user is writing their first DOCA app or asking a library-agnostic programming question — picking a shipped sample to copy and modify, wiring the canonical pkg-config doca-{library} + meson build (or FFI from Rust / Go / Python against the public C ABI), walking the cfg-create → init → start → use → stop → destroy lifecycle, validating a spec before commit, or decoding a DOCAERROR return with docaerrorgetdescr().
Doca Programming Guide fits situations like: the user is writing their first DOCA app; asking a library-agnostic programming question — picking a shipped sample to copy and modify; wiring the canonical pkg-config doca-{library} + meson build (or FFI from Rust / Go / Python against the public C ABI); walking the cfg-create → init → start → use → stop → destroy lifecycle.
Run `npx skills add NVIDIA/skills --skill doca-programming-guide -a claude-code`. Or copy the skill folder (skills/doca-programming-guide in NVIDIA/skills) into .claude/skills/doca-programming-guide in your project. Claude Code loads it when a task matches its description.
Run `npx skills add NVIDIA/skills --skill doca-programming-guide -a codex`. Or copy the skill folder (skills/doca-programming-guide in NVIDIA/skills) into .agents/skills/doca-programming-guide in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add NVIDIA/skills --skill doca-programming-guide -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/doca-programming-guide, .gemini/skills/doca-programming-guide, .github/skills/doca-programming-guide and .opencode/skills/doca-programming-guide in your project.
SKILL.md names no scripts, command-line tools or credentials: Doca Programming Guide is instructions for the agent only. Our summary lists: Python 3. Compatibility (from SKILL.md): No DOCA install required to read this skill (it is an overlay loaded against any DOCA artifact skill); the validation steps within DO require a live DOCA install at /opt/mellanox/doca. .
SKILL.md names 3 domains. As links in the text: github.com, docs.nvidia.com and catalog.ngc.nvidia.com. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Doca Programming Guide is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 3.4k tokens (SKILL.md is roughly 14k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Doca Programming Guide: Update V8 Version (openinterpreter/openinterpreter, 69k stars), Firecrawl Page Scrape Integration (firecrawl/firecrawl, 189k stars), Fory Release (apache/fory, 4.6k stars) and Apple Container Test Runner (RustPython/RustPython, 22k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
NVIDIA (a GitHub organization, an official publisher) maintains it in NVIDIA/skills, which has 3,534 GitHub stars. The repository holds 380 skills in this directory. The repository was last updated on October 7, 2026.
Source: NVIDIA/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.