Openbkn Deploy
openbkn-ai/bkn-foundry
Deploy or upgrade OpenBKN on a customer-authorized Linux server through the repository's deploy scripts, with preflight checks, explicit confirmation, secret handling, and post-deployment…
A skill your agent uses for launching, supervising, debugging, OR platform lifecycle on a BlueField — BFB install, RShim/TMFIFO, host PF rebind, post-BFB recovery — taking a DOCA-linked binary to a…
$ npx skills add NVIDIA/skills --skill doca-bare-metal-deployment -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install NVIDIA/skills doca-bare-metal-deployment --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-bare-metal-deployment .claude/skills/doca-bare-metal-deployment && 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-bare-metal-deployment" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/doca-bare-metal-deployment into .claude/skills/doca-bare-metal-deployment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "doca-bare-metal-deployment", 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-bare-metal-deploymentType 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-bare-metal-deployment -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install NVIDIA/skills doca-bare-metal-deployment --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-bare-metal-deployment .agents/skills/doca-bare-metal-deployment && 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-bare-metal-deployment" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/doca-bare-metal-deployment into .agents/skills/doca-bare-metal-deployment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "doca-bare-metal-deployment", 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-bare-metal-deployment -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install NVIDIA/skills doca-bare-metal-deployment --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-bare-metal-deployment .cursor/skills/doca-bare-metal-deployment && 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-bare-metal-deployment" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/doca-bare-metal-deployment into .cursor/skills/doca-bare-metal-deployment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "doca-bare-metal-deployment", 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-bare-metal-deployment--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-bare-metal-deployment -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install NVIDIA/skills doca-bare-metal-deployment --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-bare-metal-deployment .gemini/skills/doca-bare-metal-deployment && 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-bare-metal-deployment" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/doca-bare-metal-deployment into .gemini/skills/doca-bare-metal-deployment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "doca-bare-metal-deployment", 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-bare-metal-deploymentInstalls 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-bare-metal-deployment -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-bare-metal-deployment .github/skills/doca-bare-metal-deployment && 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-bare-metal-deployment" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/doca-bare-metal-deployment into .github/skills/doca-bare-metal-deployment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "doca-bare-metal-deployment", 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-bare-metal-deployment -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-bare-metal-deployment --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-bare-metal-deployment .opencode/skills/doca-bare-metal-deployment && 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-bare-metal-deployment" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/doca-bare-metal-deployment into .opencode/skills/doca-bare-metal-deployment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "doca-bare-metal-deployment", 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-bare-metal-deploymentA skill your agent uses for launching, supervising, debugging, OR platform lifecycle on a BlueField — BFB install, RShim/TMFIFO, host PF rebind, post-BFB recovery — taking a DOCA-linked binary to a…
Doca Bare Metal Deployment is an agent skill from NVIDIA/skills, published by the product's own GitHub organization. Use this skill for launching, supervising, debugging, OR platform lifecycle on a BlueField — BFB install, RShim/TMFIFO, host PF rebind, post-BFB recovery — taking a DOCA-linked binary to a healthy run directly on hardware (host x86 + BlueField NIC over PCIe, or BlueField Arm bare-metal). No container, no kubelet. Covers launch mode (direct, tmux, systemd), PCI/NUMA/ CPU/IRQ binding, co-tenant isolation (cgroup-v2/netns/numactl), a seven-layer error taxonomy, and a six-state BlueField lifecycle classifier. Trigger…
Its SKILL.md is about 2.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 9 other files, including reference 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 this skill require a live…
It sits in DevOps & Cloud, covering Linux administration, Deployment and Multi-tenancy. It works with Linux and tmux. 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 dfdd080. 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.
No URLs in SKILL.md.
From 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 this skill require a live DOCA install at /opt/mellanox/doca on a host or BlueField with a built DOCA-linked binary.
From compatibility in the SKILL.md frontmatter.
Doca Bare Metal Deployment loads about 2.9k tokens when it runs, and up to ~5.6k if it reads all its reference files. Until then it costs about 249 tokens; SKILL.md has 1,196 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 dfdd080, republished under its Apache-2.0 licence (© NVIDIA). 1,196 words, ~2,889 tokens.
.claude/skills/doca-bare-metal-deployment/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.Where to start: This skill is the bundle's home for operating
a DOCA-linked application binary directly on hardware — no
container, no kubelet, no static-pod manifest. It is the parallel
of doca-container-deployment
for the non-container path. If the user has a DOCA-linked binary
they built (per the canonical workflow in
doca-programming-guide)
and they want to know how to actually run it on the host or on
the BlueField Arm cores correctly, open
TASKS.md and start at
## configure. If the question is what
shape does the bare-metal runtime even have and what is the
deployment contract, start at CAPABILITIES.md.
If the user is not yet sure whether their target system shape is
the container path or the bare-metal path, route the recognition
step to doca-setup first; only return
here once bare-metal is the confirmed shape.
This skill serves external DOCA developers and operators who have a DOCA-linked application binary they built and want to run it directly on hardware — i.e., people who already have:
doca-programming-guide ## build,It is not for:
mlx5_* or the
BlueField OS,doca-container-deployment
for the single-host kubelet-standalone shape; fleet/production-scale
deployment is fleet-orchestration scope — route to the orchestration
entry-point in
doca-public-knowledge-map ## Deploying DOCA services at scale
(DPF / Network Operator / Launch Kit), not hand-rolled static-pod loops),doca-setup ## no-install.The skill teaches the agent the bare-metal-deployment procedure
and the rules for quoting documented commands from the public DOCA
Programming Guide and the public BlueField / DPU User Manual via
doca-public-knowledge-map;
it does not invent flag names, PCI BDFs, NUMA numbers, devlink
paths, representor strings, or systemd Restart= mode names from
memory.
Load this skill when the user is doing hands-on bare-metal deployment of a DOCA-linked application binary on either of the two supported host modes (host x86 or BlueField Arm), or asking a cross-cutting bare-metal question that is not specific to one library's API. Concretely:
numactl / taskset for CPU + NUMA binding) so multiple DOCA
processes co-tenant on the same BlueField without crushing each
other.Do not load this skill for the container-path equivalent
(those questions go to
doca-container-deployment);
for full-Kubernetes-cluster operations (out of scope per the
bundle's non-goals); for library-API questions (route to the
matching libs/<library> skill); for env-preparation questions
including hugepages, IOMMU, pkg-config, and devlink mode flips
(use doca-setup); for any
hardware-state-changing operation including mlxconfig writes
and BFB reflashes (route to
doca-hardware-safety for the
cross-cutting meta-policy); or for cross-library programming
questions (use
doca-programming-guide).
This is a thin loader. Substantive material lives in two companion files:
CAPABILITIES.md — the bare-metal deployment runtime contract
for a DOCA-linked binary: the two host modes (host x86 vs
BlueField Arm bare-metal), the three launch modes (direct,
tmux/screen, systemd-supervised), the hardware-resource-binding
surface (PF / VF / representor enumeration; NUMA topology
discovery; CPU pinning rationale; IRQ affinity rules), the
per-tenant isolation surface (cgroup-v2 cpu / memory / io,
network namespaces, numactl / taskset), the restart and
recovery semantics (documented systemd Restart= modes vs
crash-and-investigate vs supervisor-driven restart), the
bare-metal-specific version overlay on the four-way version
match owned by
doca-version, the cross-cutting
error taxonomy (seven layers, walked in order), the observability
surface (stdout/stderr discipline by launch mode; device-state
introspection via devlink / sysfs / mlxconfig query;
per-tenant resource visibility), and the safety policy (overlay
on
doca-hardware-safety:
smoke-before-bulk for binaries; failed bare-metal process is
HIGH-STAKES; do not invent PCI addresses, NUMA numbers,
representor names, devlink paths, or systemd Restart= mode
names; confirm tenant-isolation primitives BEFORE the workload
starts).TASKS.md — step-by-step workflows for the in-scope bare-metal
verbs: configure, build, modify, run (with an explicit
### isolation sub-anchor covering cgroup-v2 / namespaces /
numactl per-tenant primitives), test, debug,
bluefield-lifecycle (the BFB-install → RShim/TMFIFO →
post-BFB-recovery operational sequencing ladder, with the
six-state bluefield-state-classifier sub-anchor), the
Command appendix (documented commands the agent may quote,
each cross-linked to its public-doc source — no invented
commands), and the Deferred task verbs block routing
container-path / cluster / library-API / env-prep /
hardware-state-change / cross-library questions out to their
owning skills. (The change-application discipline for any
mutating burn invoked from ## bluefield-lifecycle is still
meta-policy owned by
doca-hardware-safety,
loaded alongside.)The skill assumes a host or BlueField target where:
doca-setup ## test),doca-programming-guide ## build),It does not cover installing DOCA — that path goes through
doca-setup — and it does not cover
building the binary — that path goes through
doca-programming-guide.
SKILL.md first to confirm the user's question is
in scope (bare-metal launch of a DOCA-linked binary on host
x86 or BlueField Arm; NOT the container path, NOT a full
cluster, NOT a library-API question).configure, build (routing
stub), modify (routing stub), run (with ### isolation
sub-anchor), test, debug, bluefield-lifecycle (BFB
install + RShim/TMFIFO + post-BFB recovery + the six-state
bluefield-state-classifier), plus the Command appendix and
the Deferred task verbs block — see TASKS.md.© 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 7 other files (references) in skills/doca-bare-metal-deployment of NVIDIA/skills.
Open the folder on GitHubat commit dfdd080
Doca Bare Metal Deployment 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 Bare Metal Deployment this skillNVIDIA/skills | 3.5k | — | ~2.9k | Automated safety check: Pass | Apache-2.0 | |
| Openbkn Deployopenbkn-ai/bkn-foundry | 645 | — | ~1.9k | Automated safety check: Notes | Custom licence | |
| Enterprise Agent Opsaffaan-m/ECC | 276k | 4 repos | ~384 | Automated safety check: Pass | MIT | |
| Openclaw Live Updateropenclaw/openclaw | 392k | — | ~3.7k | Automated safety check: Pass | MIT | |
| Spa Create Configsplunk/splunk-platform-automator | 138 | — | ~3.5k | Automated safety check: Pass | Proprietary | |
| Minimegasandia-minimega/minimega | 160 | — | ~3.2k | Automated safety check: Pass | GPL-3.0-only |
openbkn-ai/bkn-foundry
Deploy or upgrade OpenBKN on a customer-authorized Linux server through the repository's deploy scripts, with preflight checks, explicit confirmation, secret handling, and post-deployment…
affaan-m/ECC
Operational controls for long-lived or cloud-hosted agent systems — runtime lifecycle (start, pause, stop, restart), observability (logs, metrics, traces), least-privilege safety scopes and kill…
openclaw/openclaw
Maintain the canonical live OpenClaw main checkout, macOS LaunchAgent-managed Gateway, local macOS app, exact-head main CI, and recurring full release validation.
splunk/splunk-platform-automator
A skill your agent uses when creating or updating splunkconfig.yml, designing Splunk Enterprise lab topology, multisite IDXC, SHC layout, architecture plan before config, or AWS Terraform block for…
sandia-minimega/minimega
This skill should be used when the user asks how to configure, run, automate, integrate, or troubleshoot minimega (VMs, namespaces, VLANs, clusters, miniccc, miniweb, command socket or Python API…
brevdev/workshop-build-an-agent
This skill should be used when the user wants to set up, install, deploy, bootstrap, or "spin up" the Build-an-Agent workshop (a.k.a.
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.
Categories
A skill your agent uses for launching, supervising, debugging, OR platform lifecycle on a BlueField — BFB install, RShim/TMFIFO, host PF rebind, post-BFB recovery — taking a DOCA-linked binary to a…. Doca Bare Metal Deployment is an agent skill from NVIDIA/skills, published by the product's own GitHub organization. Use this skill for launching, supervising, debugging, OR platform lifecycle on a BlueField — BFB install, RShim/TMFIFO, host PF rebind, post-BFB recovery — taking a DOCA-linked binary to a healthy run directly on hardware (host x86 + BlueField NIC over PCIe, or BlueField Arm bare-metal).
Doca Bare Metal Deployment fits situations like: platform lifecycle on a BlueField — BFB install; post-BFB recovery — taking a DOCA-linked binary to a healthy run directly on hardware (host x86 + BlueField NIC over PCIe; blueField Arm bare-metal); even when user does not say bare-metal — implicit phrasings include binary exits 1 right after launch.
Run `npx skills add NVIDIA/skills --skill doca-bare-metal-deployment -a claude-code`. Or copy the skill folder (skills/doca-bare-metal-deployment in NVIDIA/skills) into .claude/skills/doca-bare-metal-deployment in your project. Claude Code loads it when a task matches its description.
Run `npx skills add NVIDIA/skills --skill doca-bare-metal-deployment -a codex`. Or copy the skill folder (skills/doca-bare-metal-deployment in NVIDIA/skills) into .agents/skills/doca-bare-metal-deployment 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-bare-metal-deployment -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-bare-metal-deployment, .gemini/skills/doca-bare-metal-deployment, .github/skills/doca-bare-metal-deployment and .opencode/skills/doca-bare-metal-deployment in your project.
SKILL.md names no scripts, command-line tools or credentials: Doca Bare Metal Deployment is instructions for the agent only. 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 this skill require a live DOCA install at /opt/mellanox/doca on a host or BlueField with a built DOCA-linked binary. .
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. 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 Bare Metal Deployment 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 2.9k tokens (SKILL.md is roughly 12k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.7k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Doca Bare Metal Deployment: Openbkn Deploy (openbkn-ai/bkn-foundry, 645 stars), Enterprise Agent Ops (affaan-m/ECC, 276k stars), Openclaw Live Updater (openclaw/openclaw, 392k stars) and Spa Create Config (splunk/splunk-platform-automator, 138 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 3,546 GitHub stars. The repository holds 386 skills in this directory. The repository was last updated on October 9, 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.