Hand Drawn Diagrams
nexu-io/open-design
Generate hand-drawn Excalidraw diagrams from a prompt — animated SVG, hosted edit link, and PNG export.
A skill your agent uses when the user is doing hands-on DOCA Management programming against BlueField / ConnectX devices — standing up a management or representor context (docamgmtdevctx /…
$ npx skills add NVIDIA/skills --skill doca-mgmt -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install NVIDIA/skills doca-mgmt --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-mgmt .claude/skills/doca-mgmt && 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-mgmt" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/doca-mgmt into .claude/skills/doca-mgmt/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "doca-mgmt", 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-mgmtType 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-mgmt -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install NVIDIA/skills doca-mgmt --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-mgmt .agents/skills/doca-mgmt && 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-mgmt" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/doca-mgmt into .agents/skills/doca-mgmt/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "doca-mgmt", 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-mgmt -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install NVIDIA/skills doca-mgmt --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-mgmt .cursor/skills/doca-mgmt && 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-mgmt" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/doca-mgmt into .cursor/skills/doca-mgmt/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "doca-mgmt", 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-mgmt--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-mgmt -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install NVIDIA/skills doca-mgmt --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-mgmt .gemini/skills/doca-mgmt && 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-mgmt" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/doca-mgmt into .gemini/skills/doca-mgmt/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "doca-mgmt", 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-mgmtInstalls 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-mgmt -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-mgmt .github/skills/doca-mgmt && 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-mgmt" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/doca-mgmt into .github/skills/doca-mgmt/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "doca-mgmt", 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-mgmt -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-mgmt --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-mgmt .opencode/skills/doca-mgmt && 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-mgmt" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/doca-mgmt into .opencode/skills/doca-mgmt/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "doca-mgmt", 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-mgmtA skill your agent uses when the user is doing hands-on DOCA Management programming against BlueField / ConnectX devices — standing up a management or representor context (docamgmtdevctx /…
Doca Mgmt is an agent skill from NVIDIA/skills, published by the product's own GitHub organization. Use this skill when the user is doing hands-on DOCA Management programming against BlueField / ConnectX devices — standing up a management or representor context (docamgmtdevctx / docamgmtdevrepctx), querying device caps (data-direct, caps-general), toggling congestion-control global status, modifying diagnostics-data, setting ICM quotas, or issuing a raw firmware command via docamgmtrawcmd with the right scope (CONFIGURATION / DEBUGREADONLY / DEBUGWRITE / DEBUGWRITEFULL). Trigger even when the user does not say…
Its SKILL.md is about 4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 8 other files (for example `BENCHMARK.md`, `CAPABILITIES.md` and `SKILLCARD.yaml`). Compatibility notes: Requires DOCA SDK installed at /opt/mellanox/doca on Linux (Ubuntu 22.04/24.04 or RHEL/SLES) with a BlueField DPU or ConnectX NIC attached. Reads the user's…
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.
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.
Requires DOCA SDK installed at /opt/mellanox/doca on Linux (Ubuntu 22.04/24.04 or RHEL/SLES) with a BlueField DPU or ConnectX NIC attached. Reads the user's local install via `pkg-config doca-mgmt` + `doca-common` and inspects /opt/mellanox/doca/{lib,include,samples,applications}; runtime operations require root (or device-admin cap_*) and an /dev/fwctl* character device exposed by the host kernel.
From compatibility in the SKILL.md frontmatter.
Doca Mgmt loads about 4k tokens when it runs. Until then it costs about 254 tokens; SKILL.md has 1,643 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). 1,643 words, ~3,977 tokens.
.claude/skills/doca-mgmt/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 assumes DOCA is already installed
and the user is doing hands-on management-plane work against
a BlueField / ConnectX device — typically a fleet-management or
orchestration tool that needs to query or modify device-level
state programmatically. Open TASKS.md if the user
wants to do something (install / configure / build / modify /
run / test / debug / use); open CAPABILITIES.md
when the question is what can doca-mgmt express on this version —
the management context model, the raw-command scope ladder, the
sub-domain surfaces (caps-general, cc-global-status, diagnostics-
data, icm-quota), version compatibility, and the safety overlay.
If the user has not installed DOCA yet, route to
doca-setup first.
The CLASSES of management-plane questions this skill is built to answer, each with one worked example. The agent should treat the class as the load-bearing piece — the worked example is a single instance.
doca-mgmt even the right surface, or do I want
telemetry / bench / caps?" — worked example: "I'm building a
fleet inventory tool — do I use doca-mgmt to query each
BlueField's data-direct capability, or doca-telemetry, or
doca_caps?". Answered by the management-plane vs
observability-plane vs read-only-CLI selection rule in
CAPABILITIES.md ## Capabilities and modes
surface-selection table.doca_mgmt_dev_ctx
on the device, then a doca_mgmt_dev_rep_ctx on a specific
VF representor for caps-general programming". Answered by
the management-context lifecycle in
CAPABILITIES.md ## Capabilities and modesTASKS.md ## configure.doca_mgmt_device_caps_general_get
on the representor context, read the data-direct flag".
Answered by the capability-query pattern in
CAPABILITIES.md ## Capabilities and modesTASKS.md ## test.data_direct on a representor;
capture pre-state, write, verify, prepare rollback".
Answered by the apply-with-rollback workflow in
TASKS.md ## modify layered on the
bundle-wide hardware-safety meta-policy referenced from
CAPABILITIES.md ## Safety policy.doca_mgmt_raw_cmd scope mean and which
scope should I use?" — worked example: "I have a vendor-
documented opcode for a DEBUG_READ_ONLY query — what scope
does that need and what is the blast radius?". Answered by
the command-scope ladder in
CAPABILITIES.md ## Capabilities and modesTASKS.md ## use.DOCA_ERROR_* from a doca_mgmt_* call
mean and which layer caused it?" — worked example:
"DOCA_ERROR_IO_FAILED from doca_mgmt_raw_cmd".
Answered by the mgmt overlay on the cross-library taxonomy
in CAPABILITIES.md ## Error taxonomyTASKS.md ## debug that escalates to
doca-debug and to
doca-hardware-safety
when the cause is a device-state change.This skill serves external developers building fleet-management,
orchestration, or device-administration tools that programmatically
query and modify BlueField / ConnectX device-level state — i.e.,
users whose code calls doca_mgmt_* (directly in C/C++, or
through FFI/bindings from another language) to inspect device
capabilities, toggle device feature flags, query diagnostics
counters, set ICM quotas, or issue raw firmware-control commands.
The canonical caller is a fleet-management agent that walks every
BlueField in a data center and applies a desired-state diff. This
skill is not for NVIDIA developers contributing to DOCA
Management itself, and it is not the right surface for live
performance benchmarking or stream-based observability — those
belong to doca-bench,
doca-telemetry, and
doca-telemetry-exporter.
DOCA Management ships as a C library with the pkg-config module
name doca-mgmt. The library's surface is C; the shipped samples
on a real install (where present) are C. C and C++ consumers are
the canonical case and the workflows in TASKS.md assume that
path. Other-language consumers (Rust, Go, Python, …) consume the
same *.so library through FFI or language-specific bindings;
the skill's contribution in that case is to keep the management-
context lifecycle, the command-scope ladder, the capability-query
pattern, the version-handling rule, and the safety overlay
language-neutral, and to route the agent to the public C ABI as
the authoritative surface that any wrapper will eventually call.
The skill does not author wrappers in any language.
Load this skill when the user is doing hands-on DOCA Management work on a host with one or more BlueField / ConnectX devices. Concretely:
doca_mgmt_dev_ctx on a doca_dev to inspect
or modify device-level state.doca_mgmt_dev_rep_ctx on a doca_dev_rep (or
via doca_mgmt_dev_rep_ctx_create_by_pci_addr when the
representor is not available) to inspect or modify a VF /
function-level configuration.doca_mgmt_device_caps_general_* (data-direct support and
similar device-wide attributes).set path.doca_mgmt_cc_global_status_* (RP / NP protocol type,
priority, enable / disable).doca_mgmt_diagnostics_data_* against a specific device.doca_mgmt_icm_quota_* and reading the current allocation /
max-reached.doca_mgmt_raw_cmd against the device's
firmware-control endpoint, choosing the right
enum doca_mgmt_cmd_scope for the operation's blast radius.DOCA_ERROR_* returned by a doca_mgmt_* call
and deciding whether the cause is a configuration mistake, a
lifecycle ordering bug, a missing capability on the device,
an fwctl ioctl failure, or a firmware-side rejection.Do not load this skill for general DOCA orientation, install
of DOCA itself, live performance benchmarking, or stream-based
telemetry. For those, use
doca-public-knowledge-map,
doca-setup,
doca-bench, and
doca-telemetry respectively.
This is a thin loader. The body keeps only the orientation needed to pick the right next file. The substantive management-specific material lives in two companion files:
CAPABILITIES.md — what doca-mgmt can express on this
version: the management-context object model
(doca_mgmt_dev_ctx + doca_mgmt_dev_rep_ctx), the raw-
command scope ladder (DOCA_MGMT_CMD_SCOPE_CONFIGURATION,
DOCA_MGMT_CMD_SCOPE_DEBUG_READ_ONLY,
DOCA_MGMT_CMD_SCOPE_DEBUG_WRITE,
DOCA_MGMT_CMD_SCOPE_DEBUG_WRITE_FULL), the sub-domain
surfaces (caps-general, cc-global-status, diagnostics-data,
icm-quota) with their capability-query gates, the EXPERIMENTAL
symbol-set policy (every public doca_mgmt_* symbol is
tagged EXPERIMENTAL), the mgmt overlay on the cross-library
DOCA_ERROR_* taxonomy, the observability surface (pre-state
capture + post-write re-query), and the per-artifact safety
overlay on the bundle-wide hardware-safety meta-policy.TASKS.md — step-by-step workflows for the eight in-scope
verbs: install, configure, build, modify, run,
test, debug, use. Plus a Deferred task verbs block
that points out-of-scope questions at the right next skill.The skill assumes a host or BlueField where DOCA is already
installed at the standard location and the user has the
privileges their public install profile expects (management-
plane operations typically require root or an equivalent
device-administration capability). It does not cover installing
DOCA — that path goes through
doca-setup.
This skill is agent guidance, not a samples or templates bundle. To keep the boundary clean, it deliberately does not contain — and pull requests should not add:
doca-programming-guide.pkg-config --modversion doca-mgmt is the source of truth.doca_mgmt_raw_cmd
in-payload and out-payload are device / firmware specific;
the skill names the scope of a command class and the
discipline the agent applies (pre-state capture, scope
ladder, rollback path) but it does NOT enumerate opcodes —
those are vendor / device documentation and looked up via
doca-public-knowledge-map.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
in scope.Both companion files cross-link to each other and to
doca-public-knowledge-map
whenever the right answer is "look it up in the public docs or
the installed package layout" rather than "mgmt-specific
guidance".
doca-hardware-safety —
the bundle-wide hardware-safety meta-policy. Because
doca-mgmt is the surface through which agents most commonly
modify device state programmatically, the safety overlay
in CAPABILITIES.md cross-links the meta-policy
load-bearingly and the agent walks the hardware-safety
ladder whenever a write is recommended.doca-telemetry and
doca-telemetry-exporter —
the observability surfaces for streaming telemetry from the
device. Use those when the user wants live metrics; use
doca-mgmt when the user wants point-in-time programmatic
query or modification.doca-caps — the
read-only CLI for inspecting device capabilities. Use the
tool when the user wants an interactive snapshot; use
doca-mgmt when the user wants the same information through
the C API in a fleet tool.doca-bench — the
live-performance benchmarking tool. Out of scope for
doca-mgmt; the skill names the boundary.doca-pcc and
doca-pcc-counters —
programmable congestion control. doca-mgmt's
doca_mgmt_cc_global_status_* surface is the global
enable/disable + protocol selection control plane that
layers on the deeper programmable-CC surface owned by
doca-pcc.doca-public-knowledge-map — the
routing table for every public DOCA documentation source and
the on-disk layout of an installed DOCA package.doca-setup — env preparation,
install verification, and the I have no install yet path
with the public NGC DOCA container.doca-programming-guide —
general DOCA programming patterns shared by every library:
the canonical pkg-config + meson build pattern, the
universal modify-a-shipped-sample first-app workflow, the
cross-library DOCA_ERROR_* taxonomy. This skill layers
management-plane specifics on top.doca-debug — the cross-cutting
debug ladder. Management-specific debug overlays on top of
it.doca-version — the version
detection / four-way match rule every per-artifact ## Version compatibility anchor builds on. This skill quotes
the management-specific overlay only.doca-structured-tools-contract —
the JSON-schema contracts for the agent-preferred structured
helpers; the ## Command appendix in TASKS.md defers to
them before falling back to the manual chain.© 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 in skills/doca-mgmt of NVIDIA/skills.
Open the folder on GitHubat commit 0e0d506
Doca Mgmt 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 Mgmt this skillNVIDIA/skills | 3.5k | — | ~4k | Automated safety check: Pass | Apache-2.0 | |
| Hand Drawn Diagramsnexu-io/open-design | 100k | — | ~336 | Automated safety check: Pass | Apache-2.0 | |
| Doca RdmiNVIDIA/skills | 3.5k | — | ~3.8k | Automated safety check: Pass | Apache-2.0 | |
| Doca GpunetioNVIDIA/skills | 3.5k | — | ~3.7k | Automated safety check: Pass | Apache-2.0 | |
| Doca CompressNVIDIA/skills | 3.5k | — | ~3.8k | Automated safety check: Pass | Apache-2.0 | |
| Doca RdmaNVIDIA/skills | 3.5k | — | ~3.5k | Automated safety check: Pass | Apache-2.0 |
nexu-io/open-design
Generate hand-drawn Excalidraw diagrams from a prompt — animated SVG, hosted edit link, and PNG export.
NVIDIA/skills
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A skill your agent uses when the user is doing hands-on DOCA Management programming against BlueField / ConnectX devices — standing up a management or representor context (docamgmtdevctx /…. Doca Mgmt is an agent skill from NVIDIA/skills, published by the product's own GitHub organization. Use this skill when the user is doing hands-on DOCA Management programming against BlueField / ConnectX devices — standing up a management or representor context (docamgmtdevctx / docamgmtdevrepctx), querying device caps (data-direct, caps-general), toggling congestion-control global status, modifying diagnostics-data, setting ICM quotas, or issuing a raw firmware command via docamgmtrawcmd with the right scope (CONFIGURATION / DEBUGREADONLY / DEBUGWRITE / DEBUGWRITEFULL).
Doca Mgmt fits situations like: the user is doing hands-on DOCA Management programming against BlueField / ConnectX devices — standing up a management; representor context (docamgmtdevctx / docamgmtdevrepctx); querying device caps (data-direct; toggling congestion-control global status.
Run `npx skills add NVIDIA/skills --skill doca-mgmt -a claude-code`. Or copy the skill folder (skills/doca-mgmt in NVIDIA/skills) into .claude/skills/doca-mgmt in your project. Claude Code loads it when a task matches its description.
Run `npx skills add NVIDIA/skills --skill doca-mgmt -a codex`. Or copy the skill folder (skills/doca-mgmt in NVIDIA/skills) into .agents/skills/doca-mgmt 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-mgmt -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-mgmt, .gemini/skills/doca-mgmt, .github/skills/doca-mgmt and .opencode/skills/doca-mgmt in your project.
SKILL.md names no scripts, command-line tools or credentials: Doca Mgmt is instructions for the agent only. Compatibility (from SKILL.md): Requires DOCA SDK installed at /opt/mellanox/doca on Linux (Ubuntu 22.04/24.04 or RHEL/SLES) with a BlueField DPU or ConnectX NIC attached. Reads the user's local install via `pkg-config doca-mgmt` + `doca-common` and inspects /opt/mellanox/doca/{lib,include,samples,applications}; runtime operations require root (or device-admin cap_*) and an /dev/fwctl* character device exposed by the host kernel. .
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 Mgmt 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 4k tokens (SKILL.md is roughly 16k 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 Mgmt: Hand Drawn Diagrams (nexu-io/open-design, 100k stars), Doca Rdmi (NVIDIA/skills, 3.5k stars), Doca Gpunetio (NVIDIA/skills, 3.5k stars) and Doca Compress (NVIDIA/skills, 3.5k 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.