Finishing a Development Branch
obra/superpowers
Walks the last step of a branch: confirm tests pass, detect the git environment, ask how to integrate, carry out your choice and clean up the worktree.
A skill your agent uses for hands-on DOCA Compress programming on a BlueField DPU, ConnectX NIC, or host with DOCA — enabling compress-deflate, decompress-deflate, decompress-lz4-stream, or…
$ npx skills add NVIDIA/skills --skill doca-compress -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install NVIDIA/skills doca-compress --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-compress .claude/skills/doca-compress && 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-compress" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/doca-compress into .claude/skills/doca-compress/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "doca-compress", 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-compressType 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-compress -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install NVIDIA/skills doca-compress --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-compress .agents/skills/doca-compress && 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-compress" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/doca-compress into .agents/skills/doca-compress/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "doca-compress", 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-compress -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install NVIDIA/skills doca-compress --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-compress .cursor/skills/doca-compress && 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-compress" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/doca-compress into .cursor/skills/doca-compress/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "doca-compress", 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-compress--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-compress -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install NVIDIA/skills doca-compress --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-compress .gemini/skills/doca-compress && 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-compress" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/doca-compress into .gemini/skills/doca-compress/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "doca-compress", 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-compressInstalls 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-compress -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-compress .github/skills/doca-compress && 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-compress" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/doca-compress into .github/skills/doca-compress/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "doca-compress", 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-compress -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-compress --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-compress .opencode/skills/doca-compress && 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-compress" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/doca-compress into .opencode/skills/doca-compress/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "doca-compress", 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-compressA skill your agent uses for hands-on DOCA Compress programming on a BlueField DPU, ConnectX NIC, or host with DOCA — enabling compress-deflate, decompress-deflate, decompress-lz4-stream, or…
Doca Compress is an agent skill from NVIDIA/skills, published by the product's own GitHub organization. Use this skill for hands-on DOCA Compress programming on a BlueField DPU, ConnectX NIC, or host with DOCA — enabling compress-deflate, decompress-deflate, decompress-lz4-stream, or decompress-lz4-block tasks on a docacompress context (the hardware supports DEFLATE both directions plus LZ4 decompress; LZ4 encode is NOT supported), sizing source / destination docabuf against the per-task cap query, setting mmap permissions, deciding offload vs CPU zlib / zstd, validating with a round-trip smoke, or debugging…
Its SKILL.md is about 3.8k 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…
It sits in Development. 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-compress` and inspects /opt/mellanox/doca/{lib,include,samples,applications}.
From compatibility in the SKILL.md frontmatter.
Doca Compress loads about 3.8k tokens when it runs. Until then it costs about 246 tokens; SKILL.md has 1,611 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). 1,611 words, ~3,802 tokens.
.claude/skills/doca-compress/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 Compress work (bulk DEFLATE
compression or decompression) on a BlueField / ConnectX / host
with DOCA. Open TASKS.md if the user wants to do
something (configure / build / modify / run / test / debug); open
CAPABILITIES.md when the question is what can
DOCA Compress express on this version. If the user has not
installed DOCA yet, route to
doca-setup first. If the user is
asking "should I even offload this compression to the
accelerator?", the size-threshold path-selection rule in
CAPABILITIES.md ## Capabilities and modes
is the first stop — bulk compress is the canonical fit, tiny
one-shot is not.
The CLASSES of DOCA Compress 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.
CAPABILITIES.md ## Capabilities and modesCAPABILITIES.md ## Safety policy.doca_compress_task_compress_deflate on
this BlueField, and what is the max source size per task?".
Answered by the per-task capability-query rule
(doca_compress_cap_task_compress_deflate_is_supported,
_decompress_deflate_is_supported, the matching
_get_max_buf_size queries) in
CAPABILITIES.md ## Capabilities and modesTASKS.md ## configure.CAPABILITIES.md ## Capabilities and modes
task-type table + the per-task configuration matrix in
TASKS.md ## configure step 5.doca_compress_task_compress_deflate
returns DOCA_ERROR_NOT_PERMITTED". Answered by the permission
matrix in
CAPABILITIES.md ## Safety policyTASKS.md ## test.doca_compress_task_decompress_deflate in the DOCA I have
installed?". Answered by the version-compatibility overlay in
CAPABILITIES.md ## Version compatibility,
which cross-links the canonical detection chain in
doca-version and adds the
Compress-specific "discover per-task support, do not assume"
bullets.DOCA_ERROR_* from a Compress call mean and
which layer caused it?" — worked example: "DOCA_ERROR_INVALID_VALUE
on doca_compress_task_compress_deflate_alloc_init". Answered
by the Compress overlay on the cross-library taxonomy in
CAPABILITIES.md ## Error taxonomyTASKS.md ## debug that escalates to
doca-debug.This skill serves external developers building applications that
consume the DOCA Compress library — i.e., users whose code calls
doca_compress_* (directly in C/C++, or through FFI/bindings from
another language) to offload bulk DEFLATE compression or
decompression onto a BlueField DPU or ConnectX accelerator. It is
not for NVIDIA developers contributing to DOCA Compress itself.
Language scope. DOCA Compress ships as a C library with
pkg-config module name doca-compress. The shipped samples are
written in C. C and C++ consumers are the canonical case and the
worked examples in TASKS.md assume that path. Other-language
consumers (Rust, Go, Python, …) consume the same *.so through
FFI or language-specific bindings; the skill's contribution in
that case is to keep the lifecycle, capability-discovery,
permission, error-taxonomy, and compress-vs-decompress guidance
language-neutral, and to route the agent to the public C ABI as
the authoritative surface that any wrapper will eventually call.
Load this skill when the user is doing hands-on DOCA Compress work, in any language. Concretely:
doca_compress context on a doca_dev and
configuring at least one task type
(doca_compress_task_compress_deflate and/or
doca_compress_task_decompress_deflate) before
doca_ctx_start().doca_mmap correctly for the source
buffer (DOCA_ACCESS_FLAG_LOCAL_READ_ONLY at minimum) and the
destination buffer (DOCA_ACCESS_FLAG_LOCAL_READ_WRITE).doca_compress_cap_task_*_get_max_buf_size(devinfo) ceiling
and the destination buffer against the worst-case output size
the algorithm can produce on this input.doca_compress_cap_task_compress_deflate_is_supported and
doca_compress_cap_task_decompress_deflate_is_supported
against the active doca_devinfo.CAPABILITIES.md ## Capabilities and modes
says doca-compress is the right answer only for bulk inputs
(rule of thumb: ≥ a few KiB); below that, CPU compression beats
the DMA-to-accelerator round-trip.DOCA_ERROR_* returned from a Compress call
(lifecycle vs. buffer-sizing vs. permission vs.
unsupported-task) and the task-completion event on the progress
engine.Do not load this skill for general DOCA orientation, install
of DOCA itself, non-DEFLATE compression libraries on CPU (use
zlib / zstd / similar), or other DOCA libraries. For those, use
doca-public-knowledge-map.
This is a thin loader. The body keeps only the orientation needed to pick the right next file. The substantive Compress-specific material lives in two companion files:
CAPABILITIES.md — what DOCA Compress can express on this
version: the four task types (compress-deflate,
decompress-deflate, decompress-lz4-stream, and
decompress-lz4-block, each independently capability-gated), the
per-task capability-query surface (doca_compress_cap_* for
task support and per-submission max buffer size), the Compress
error taxonomy (mapped onto the cross-library DOCA_ERROR_*
set), the observability surface (per-task completion events on
the progress engine), the safety policy that gates source /
destination mmap permission decisions, and the size-threshold
path-selection rule (when to use doca-compress versus CPU
compression or doca-dma for the no-compression copy case).TASKS.md — step-by-step workflows for the six in-scope
Compress verbs: configure, build, modify, run, test,
debug. Plus a ## rollback overlay (Compress-specific
five-step teardown that drains in-flight tasks before
doca_ctx_stop, unregisters mmap regions in reverse-register
order, and re-verifies the device path with the round-trip
smoke) and the 5-phase universal debug-loop instantiation
appended to ## debug. 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. 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:
/opt/mellanox/doca/samples/doca_compress/, plus
the File Compression reference application linked from the
public DOCA Compress guide. The agent's job is to route the
user to those files and prescribe a minimum-diff modification
on them via the universal modify-a-sample workflow in
doca-programming-guide,
layered with the Compress-specific overrides in
TASKS.md ## modify.zlib) as the known-good smoke; it does not ship
a fixture bank of its own.meson.build, CMakeLists.txt,
Cargo.toml, …) 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-compress 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 in
scope.Both companion files cross-link to each other,
doca-version for the canonical
version-handling rules, and
doca-public-knowledge-map
whenever the right answer is "look it up in the public docs or
the installed package layout" rather than "Compress-specific
guidance".
doca-public-knowledge-map —
the routing table for every public DOCA documentation source
and the on-disk layout of an installed DOCA package. The DOCA
Compress page lives at
docs.nvidia.com/doca/sdk/DOCA-Compress/; the File Compression
reference application is the canonical worked example.doca-setup — env preparation,
install verification, and the I have no install yet path
with the public NGC DOCA container. This skill assumes its
preconditions are satisfied.doca-version — canonical DOCA
version-handling rules. This skill's
## Version compatibility
cross-links the four-way match rule and adds only the
Compress-specific "discover per-task support + per-task max
buffer size via cap query" overlay.doca-structured-tools-contract —
the bundle's structured-tools precedence rule (detect / prefer
/ fall back / report). The Command appendix in
TASKS.md honors this contract.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 universal
lifecycle, the cross-library DOCA_ERROR_* taxonomy, and the
program-side debug order. This skill layers Compress specifics
on top.doca-dma — the right library when
the data flow is a pure mmap-to-mmap copy with no compression
required. This skill's path-selection rule routes to DMA when
Compress is not the answer (e.g. the user only wants to move
bytes, not encode them).doca-debug — the cross-cutting
debug ladder (install / version / build / link / runtime /
program / driver). Compress-specific debug (task-not-supported,
source-buffer-too-large, destination-buffer-too-small) overlays
on top of that ladder.© 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-compress of NVIDIA/skills.
Open the folder on GitHubat commit 0e0d506
Doca Compress 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 Compress this skillNVIDIA/skills | 3.5k | — | ~3.8k | Automated safety check: Pass | Apache-2.0 | |
| Finishing a Development Branchobra/superpowers | 296k | 5 repos | ~1.9k | Automated safety check: Pass | MIT | |
| Typescript Advanced Typesrolling-scopes/rsschool-app | 10k | 24 repos | ~4.2k | Automated safety check: Pass | MPL-2.0 | |
| PR Babysitteropeninterpreter/openinterpreter | 69k | 3 repos | ~4.2k | Automated safety check: Pass | Apache-2.0 | |
| Code Review ChecklistshareAI-lab/learn-claude-code | 78k | 5 repos | ~1.1k | Automated safety check: Pass | MIT | |
| Greplooponyx-dot-app/onyx | 32k | 4 repos | ~3.3k | Automated safety check: Pass | MIT |
obra/superpowers
Walks the last step of a branch: confirm tests pass, detect the git environment, ask how to integrate, carry out your choice and clean up the worktree.
rolling-scopes/rsschool-app
Master TypeScript's advanced type system including generics, conditional types, mapped types, template literals, and utility types for building type-safe applications.
openinterpreter/openinterpreter
Watches an open GitHub pull request until it merges, handling review comments, diagnosing CI failures and retrying flaky checks along the way.
shareAI-lab/learn-claude-code
Reviews code against a five-part checklist covering security, correctness, performance, maintainability and testing, and reports findings in a fixed format.
onyx-dot-app/onyx
Iteratively improves a PR (GitHub), MR (GitLab), or shelved changelist (Perforce) until Greptile gives it a 5/5 confidence score with zero unresolved comments.
akash-network/node
Behavioral guidelines to reduce common LLM coding mistakes. An agent skill from akash-network/node.
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 hands-on DOCA Compress programming on a BlueField DPU, ConnectX NIC, or host with DOCA — enabling compress-deflate, decompress-deflate, decompress-lz4-stream, or…. Doca Compress is an agent skill from NVIDIA/skills, published by the product's own GitHub organization.
Doca Compress fits situations like: hands-on DOCA Compress programming on a BlueField DPU; host with DOCA — enabling compress-deflate; decompress-deflate; decompress-lz4-stream.
Run `npx skills add NVIDIA/skills --skill doca-compress -a claude-code`. Or copy the skill folder (skills/doca-compress in NVIDIA/skills) into .claude/skills/doca-compress in your project. Claude Code loads it when a task matches its description.
Run `npx skills add NVIDIA/skills --skill doca-compress -a codex`. Or copy the skill folder (skills/doca-compress in NVIDIA/skills) into .agents/skills/doca-compress 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-compress -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-compress, .gemini/skills/doca-compress, .github/skills/doca-compress and .opencode/skills/doca-compress in your project.
SKILL.md names no scripts, command-line tools or credentials: Doca Compress 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-compress` and inspects /opt/mellanox/doca/{lib,include,samples,applications}. .
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 Compress 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 3.8k tokens (SKILL.md is roughly 15k 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 Compress: Finishing a Development Branch (obra/superpowers, 296k stars), Typescript Advanced Types (rolling-scopes/rsschool-app, 10k stars), PR Babysitter (openinterpreter/openinterpreter, 69k stars) and Code Review Checklist (shareAI-lab/learn-claude-code, 78k 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.