Hybrid Cloud Outboxes
getsentry/sentry
Guide for creating and maintaining outbox-based eventually consistent operations in Sentry.
A skill your agent uses when the user is doing hands-on DOCA Erasure Coding programming on a BlueField DPU, ConnectX NIC, or host — bringing up a docaec context, picking among the create / recover /…
$ npx skills add NVIDIA/skills --skill doca-erasure-coding -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install NVIDIA/skills doca-erasure-coding --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-erasure-coding .claude/skills/doca-erasure-coding && 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-erasure-coding" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/doca-erasure-coding into .claude/skills/doca-erasure-coding/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "doca-erasure-coding", 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-erasure-codingType 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-erasure-coding -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install NVIDIA/skills doca-erasure-coding --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-erasure-coding .agents/skills/doca-erasure-coding && 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-erasure-coding" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/doca-erasure-coding into .agents/skills/doca-erasure-coding/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "doca-erasure-coding", 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-erasure-coding -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install NVIDIA/skills doca-erasure-coding --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-erasure-coding .cursor/skills/doca-erasure-coding && 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-erasure-coding" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/doca-erasure-coding into .cursor/skills/doca-erasure-coding/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "doca-erasure-coding", 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-erasure-coding--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-erasure-coding -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install NVIDIA/skills doca-erasure-coding --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-erasure-coding .gemini/skills/doca-erasure-coding && 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-erasure-coding" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/doca-erasure-coding into .gemini/skills/doca-erasure-coding/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "doca-erasure-coding", 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-erasure-codingInstalls 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-erasure-coding -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-erasure-coding .github/skills/doca-erasure-coding && 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-erasure-coding" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/doca-erasure-coding into .github/skills/doca-erasure-coding/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "doca-erasure-coding", 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-erasure-coding -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-erasure-coding --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-erasure-coding .opencode/skills/doca-erasure-coding && 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-erasure-coding" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/doca-erasure-coding into .opencode/skills/doca-erasure-coding/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "doca-erasure-coding", 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-erasure-codingA skill your agent uses when the user is doing hands-on DOCA Erasure Coding programming on a BlueField DPU, ConnectX NIC, or host — bringing up a docaec context, picking among the create / recover /…
Doca Erasure Coding 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 Erasure Coding programming on a BlueField DPU, ConnectX NIC, or host — bringing up a docaec context, picking among the create / recover / update tasks, choosing matrix type / N / K / block size, querying docaeccap before sizing, setting docammap src/dst permissions, or debugging DOCAERROR returns from docaectask. Trigger even when the user does not name "DOCA Erasure Coding" or "Reed-Solomon" — typical implicit phrasings include "one data block changed, how do I…
Its SKILL.md is about 4.3k 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 Databases, covering Database administration. 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):
docs.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.
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-erasure-coding` and inspects /opt/mellanox/doca/{lib,include,samples,applications}.
From compatibility in the SKILL.md frontmatter.
Doca Erasure Coding loads about 4.3k tokens when it runs. Until then it costs about 250 tokens; SKILL.md has 1,898 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). 1,898 words, ~4,274 tokens.
.claude/skills/doca-erasure-coding/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 erasure-coding work 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 Erasure Coding 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 use erasure coding here, or just replicate
the data?", the path-selection rule in
CAPABILITIES.md ## Capabilities and modes
is the first stop — erasure coding is a storage-resilience
primitive (RAID-6 / distributed file system parity / object-storage
erasure-coded buckets), not a network primitive and not a
replication substitute.
The CLASSES of DOCA Erasure Coding 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_ec_task_create on this BlueField, what is the maximum
block size, what is the cap on N+K, and does the device
advertise a Vandermonde Reed-Solomon matrix?". Answered by
the per-task + matrix + size capability-query rule
(doca_ec_cap_task_create_is_supported,
_task_recover_is_supported, _task_update_is_supported,
_task_galois_mul_is_supported — the 4th public task on the
EC accelerator, doca_ec_cap_get_max_block_size,
doca_ec_cap_get_max_buf_list_len, and per-variant
doca_ec_matrix_create() constructor success — the public
header does NOT ship a doca_ec_cap_get_matrix_* family) in
CAPABILITIES.md ## Capabilities and modesTASKS.md ## configure.doca_ec_task_update row in the
task-type table in
CAPABILITIES.md ## Capabilities and modesCAPABILITIES.md ## Safety policyTASKS.md ## modify.doca_ec_task_recover row in the task-type table in
CAPABILITIES.md ## Capabilities and modesTASKS.md ## test.doca_ec_task_create returns
DOCA_ERROR_NOT_PERMITTED". Answered by the permission matrix
in CAPABILITIES.md ## Safety policyTASKS.md ## test.doca_ec_task_update in
the DOCA I have installed, or do I have to recompute parity from
scratch?". Answered by the version-compatibility overlay in
CAPABILITIES.md ## Version compatibility,
which cross-links the canonical detection chain in
doca-version and adds the
EC-specific "discover per-task support + matrix type via cap
query" bullets.DOCA_ERROR_* from an EC call mean and which
layer caused it?" — worked example: "DOCA_ERROR_INVALID_VALUE
on doca_ec_task_create_allocate_init with block_size = 4 MiB".
Answered by the EC 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 Erasure Coding library — i.e., users whose code
calls doca_ec_* (directly in C/C++, or through FFI/bindings from
another language) to offload Reed-Solomon erasure coding onto a
BlueField DPU or ConnectX accelerator. It is not for NVIDIA
developers contributing to DOCA Erasure Coding itself.
The canonical fit is distributed storage: RAID-6-style block layouts, distributed file system parity, object-storage erasure-coded buckets, and any data-durability workload where the N data + K redundancy block model lets the system tolerate K simultaneous block losses without data loss. The skill keeps the agent oriented to that domain: erasure coding is operationally distinct from pure replication (which keeps M whole copies) and from RAID-6 the disk layout (which is one specific instance of the N=k, K=2 case); confusing them produces wrong recommendations.
Language scope. DOCA Erasure Coding ships as a C library with
pkg-config module name doca-erasure-coding. 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 create-vs-recover-vs-update
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 Erasure Coding work, in any language. Concretely:
doca_ec context on a doca_dev and configuring
at least one task type (doca_ec_task_create,
doca_ec_task_recover, and/or doca_ec_task_update) before
doca_ctx_start().doca_mmap correctly for the source
buffers — data blocks for create, data + parity for recover —
(DOCA_ACCESS_FLAG_LOCAL_READ_ONLY at minimum) and the
destination buffers — redundancy blocks for create, recovered
blocks for recover, updated parity for update —
(DOCA_ACCESS_FLAG_LOCAL_READ_WRITE).doca_ec_cap_get_max_block_size(devinfo) and N+K against
doca_ec_cap_get_max_buf_list_len(devinfo, &max_buf_list_len).doca_ec_cap_task_*_is_supported (including the 4th task
_task_galois_mul_is_supported) and per-variant
doca_ec_matrix_create() constructor success — the public
header does NOT ship a doca_ec_cap_get_matrix_*
families against the active doca_devinfo.doca_ec_task_update
is far cheaper than recomputing all K parity blocks via a fresh
doca_ec_task_create).DOCA_ERROR_* returned from an EC call (lifecycle
vs. block-size vs. N+K vs. matrix-type vs. permission vs.
queue pressure) and the task-completion event on the progress
engine.Do not load this skill for general DOCA orientation, install
of DOCA itself, non-Reed-Solomon erasure codes (fountain codes,
LDPC — those belong on a CPU library, not the DOCA accelerator),
pure replication / mirroring designs (erasure coding is the wrong
primitive when one extra copy is the right answer), 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 EC-specific material lives in two companion files:
CAPABILITIES.md — what DOCA Erasure Coding can express on
this version: the three task types (create / recover / update,
each independently capability-gated), the matrix-type + N + K +
block-size configuration surface, the capability-query family
(doca_ec_cap_* for task support, max block size, max N+K,
supported matrix types), the EC 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 path-selection rule (when to use
doca-erasure-coding versus a CPU EC library versus pure
replication versus RAID-6 on disk).TASKS.md — step-by-step workflows for the six in-scope EC
verbs: configure, build, modify, run, test, 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_erasure_coding/.
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 EC-specific overrides in
TASKS.md ## modify.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-erasure-coding 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 (storage-domain resilience — N data + K redundancy
blocks — and not a network or replication question
misclassified as erasure coding).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 "EC-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
Erasure Coding page lives at
https://docs.nvidia.com/doca/sdk/DOCA-Erasure-Coding/index.html;
the install-tree layout (samples directory, header location)
belongs to the public knowledge map, not to this skill.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
EC-specific "discover per-task support + supported matrix
types + max block size + max N+K 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 EC specifics on
top.doca-debug — the cross-cutting
debug ladder (install / version / build / link / runtime /
program / driver). EC-specific debug (task-not-supported,
matrix-type-unsupported, block-size-over-max, N+K-over-max,
recover-with-too-many-missing) 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-erasure-coding of NVIDIA/skills.
Open the folder on GitHubat commit 0e0d506
Doca Erasure Coding 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 Erasure Coding this skillNVIDIA/skills | 3.5k | — | ~4.3k | Automated safety check: Pass | Apache-2.0 | |
| Hybrid Cloud Outboxesgetsentry/sentry | 45k | — | ~4.8k | Automated safety check: Pass | Custom licence | |
| Sea Orm 2FlyinPancake/yoink | 112 | — | ~2.9k | Automated safety check: Pass | Apache-2.0 | |
| Redis Clusteringredis/agent-skills | 165 | 1 repos | ~1k | Automated safety check: Pass | MIT | |
| DB AdminEliasOulkadi/shokunin | 114 | — | ~2k | Automated safety check: Notes | MIT | |
| Redis Connectionsredis/agent-skills | 165 | 1 repos | ~1.3k | Automated safety check: Pass | MIT |
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Categories
A skill your agent uses when the user is doing hands-on DOCA Erasure Coding programming on a BlueField DPU, ConnectX NIC, or host — bringing up a docaec context, picking among the create / recover /…. Doca Erasure Coding 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 Erasure Coding programming on a BlueField DPU, ConnectX NIC, or host — bringing up a docaec context, picking among the create / recover / update tasks, choosing matrix type / N / K / block size, querying docaeccap before sizing, setting docammap src/dst permissions, or debugging DOCAERROR returns from docaectask.
Doca Erasure Coding fits situations like: the user is doing hands-on DOCA Erasure Coding programming on a BlueField DPU; host — bringing up a docaec context; picking among the create / recover / update tasks; choosing matrix type / N / K / block size.
Run `npx skills add NVIDIA/skills --skill doca-erasure-coding -a claude-code`. Or copy the skill folder (skills/doca-erasure-coding in NVIDIA/skills) into .claude/skills/doca-erasure-coding in your project. Claude Code loads it when a task matches its description.
Run `npx skills add NVIDIA/skills --skill doca-erasure-coding -a codex`. Or copy the skill folder (skills/doca-erasure-coding in NVIDIA/skills) into .agents/skills/doca-erasure-coding 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-erasure-coding -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-erasure-coding, .gemini/skills/doca-erasure-coding, .github/skills/doca-erasure-coding and .opencode/skills/doca-erasure-coding in your project.
SKILL.md names no scripts, command-line tools or credentials: Doca Erasure Coding 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-erasure-coding` and inspects /opt/mellanox/doca/{lib,include,samples,applications}. .
SKILL.md names 1 domain. As links in the text: docs.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 Erasure Coding 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 4.3k tokens (SKILL.md is roughly 17k 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 Erasure Coding: Hybrid Cloud Outboxes (getsentry/sentry, 45k stars), Sea Orm 2 (FlyinPancake/yoink, 112 stars), Redis Clustering (redis/agent-skills, 165 stars) and DB Admin (EliasOulkadi/shokunin, 114 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.