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Official, NVIDIA-verified Agent Skills for Claude Code, Codex, and other coding agents.
用 Codex 或 Claude 安装复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它先审查 Skill 页面再帮你安装。
复制前请先查看来源、License 和安全提示。
来源文件:README.md
Official, NVIDIA-verified Agent Skills for Claude Code, Codex, and other coding agents.
📖 Docs: docs.nvidia.com/skills · 📺 Livestream: From Vulnerable to Verified · 📝 Blog: NVIDIA Verified Agent Skills: Capability Governance for AI Agents
Skills are portable instruction sets that teach AI agents how to use NVIDIA software optimally: Physical AI and robotics workflows, simulation, CUDA-X libraries, RAG and AI Blueprints, and platform tools. This repository is a catalog: skills are maintained in their respective product repos, and mirrored here daily via an automated sync pipeline. Skills are being added continuously, so check back for updates. We are building this infrastructure in the open, and contributions are welcome. See the Roadmap for what is planned next.
Install NVIDIA skills with the default skills CLI flow:
npx skills add nvidia/skills
The CLI runs through npx and prompts you to choose a skill and install destination. You do not need to clone this repo or copy skill folders by hand.
Requires a current
skillsCLI (v1.5.16 or newer). Installing vianpx skills@latest add nvidia/skillsalways uses the latest. On older CLIs (v1.5.15 and earlier), skills may install but not appear in Claude Code — see Troubleshooting.
The skill is available the next time your agent loads skills and encounters a relevant task. For example, ask your agent to "solve a linear programming problem with cuOpt" and the skill guides it through the cuOpt Python API. In Claude Code, run /reload-skills to load newly installed skills in your current session.
Use this when you already know the skill name and want to skip prompts.
npx skills add nvidia/skills --skill cuopt-numerical-optimization-api --yes
Replace cuopt-numerical-optimization-api with any skill name from the Skill Catalog.
Use --agent to target a specific AI coding agent. Initially, we'll support common client targets, expanding the list over time. For the full list of clients supported by the spec, see the skills CLI Supported Agents table.
Claude Code
npx skills add nvidia/skills --skill cuopt-numerical-optimization-api --agent claude-code
Codex
npx skills add nvidia/skills --skill cuopt-numerical-optimization-api --agent codex
Snowflake CoCo
npx skills add nvidia/skills --skill cuopt-numerical-optimization-api --agent cortex
Cursor
npx skills add nvidia/skills --skill cuopt-numerical-optimization-api --agent cursor
Kiro
npx skills add nvidia/skills --skill cuopt-numerical-optimization-api --agent kiro-cli
Use --agent more than once to install the same skill into multiple agents.
npx skills add nvidia/skills \
--skill cuopt-numerical-optimization-api \
--agent claude-code \
--agent codex \
--agent cursor \
--agent kiro-cli
New skills land continuously, and existing ones are revised, renamed, or consolidated as the catalog evolves. Refresh what you have installed with:
npx skills update
Run it interactively and the CLI also flags skills that were removed or merged upstream (for example, when several skills are consolidated into one) and offers to remove the stale local copies. Use npx skills list to see what is installed and npx skills check to preview what is out of date first.
Use this when you want to see available NVIDIA skills before installing anything.
npx skills add nvidia/skills --list
For non-interactive installs, global installs, agent-specific installs, updates, removals, and fallback manual copying, see Advanced installation.
Where to file an issue depends on what's broken:
Per-product source repo links:
For issues with this catalog repo itself (README, structure, listing a new product): open an issue here.
Every published skill ships with a detached OMS signature (skill.oms.sig). The sync pipeline drops any skill missing the required artifacts before publishing, so every skill in the catalog carries:
SKILL.md — the skill instructions consumed by the agentskill-card.md — skill identity and governance cardskill.oms.sig — detached OMS signature (verifiable against nv-agent-root-cert.pem)evals/evals.json, evals/*.json, eval/*.json, or benchmark/evals.jsonBENCHMARK.md — generated benchmark report capturing verifiable uplift dataVerify a skill against the NVIDIA trust anchor nv-agent-root-cert.pem:
pip install model-signing
model_signing verify certificate SKILL_DIR \
--signature SKILL_DIR/skill.oms.sig \
--certificate_chain nv-agent-root-cert.pem \
--ignore_unsigned_files
A successful verification confirms that the skill contents have not been modified since signing by NVIDIA.
See Verify Signed Agent Skills for signature layout, the trust pipeline, and policy options.
NVIDIA/skills/
├── skills/ # NVIDIA-verified skills (count grows continuously),
│ │ synced from upstream product repos
│ ├── README.md # Browser-facing install guidance
│ ├── <product-prefix>-*/ # Flat layout — one dir per skill, product-prefixed
│ │ # e.g. aiq-*, cuopt-*, cupynumeric-*,
│ │ # dali-*, deepstream-*, dicom-*, digital-health-*,
│ │ # dynamo-*, earth2studio-*, holoscan-*, hsb-*,
│ │ # jetson-*, launch-nemo-rl, mcore-*,
│ │ # nemo-automodel-*, nemo-data-designer-plugin,
│ │ # nemo-evaluator-plugin, nemo-mbridge-* (20 skills),
│ │ # nemo-retriever, nemo-rl-* (4 skills),
│ │ # nemoclaw-user-guide, nemotron-*, nemotron-speech,
│ │ # nv-* (medical AI), physicsnemo-*, rag-*,
│ │ # skill-card-generator, tao-*, tilegym-*,
│ │ # vss-* (15 skills), accelerated-computing-cudf,
│ │ # cudaq-guide, portfolio-optimization
│ ├── omniverse-*/ # Physical AI — manually staged (see manual-components.yml)
│ └── physical-ai-*/ # Physical AI — manually staged
├── components.d/ # Product registry — one file per component, teams onboard here
│ ├── README.md # Schema and onboarding instructions
│ └── <product>.yml # one file per registered product
├── plugins/ # Packaged plugin distributions
│ └── nvidia-skills/ # Curated NVIDIA skills bundle (Claude Code, Codex)
├── plugins.d/ # Plugin build registry — config for `build-plugins.py`
│ ├── README.md
│ ├── _defaults.yml
│ └── nvidia-skills.yml
├── .claude-plugin/ # Claude Code marketplace metadata
│ └── marketplace.json
├── .agents/plugins/ # Agent marketplace metadata (other clients)
│ └── marketplace.json
├── docs/ # Long-form documentation (published via Fern)
│ ├── README.md # How to build the docs locally
│ ├── index.mdx
│ ├── advanced-install.mdx
│ ├── agent-skill-trust-pipeline.mdx
│ ├── release-checklist.mdx
│ ├── scanning-agent-skills.mdx
│ ├── signing-agent-skills.mdx
│ └── skill-cards.mdx
├── fern/ # Fern docs site configuration
├── .github/
│ ├── workflows/ # Sync pipeline, plugin validation, DCO check, author verify
│ └── scripts/ # regenerate-readme.sh, build-plugins.py,
│ # manual-components.yml (temp Physical AI catalog
│ # exception, removed after Computex 2026),
│ # marketplace/metadata.json (skill metadata sidecar)
├── nv-agent-root-cert.pem # Trust anchor for OMS signature verification
├── skills.sh.json # Skills.sh marketplace grouping config
├── CHANGELOG.md
├── CONTRIBUTING.md # Contribution guidelines
├── SECURITY.md # Security reporting policy
├── CODE_OF_CONDUCT.md # Community code of conduct
├── LICENSE-APACHE # Apache 2.0 (source code)
└── LICENSE-CC-BY-4.0 # CC BY 4.0 (documentation/skills)
Skills are maintained in their respective product repos (see the Source column in the Skill Catalog) and synced to this repo daily. Products only appear under skills/ after the sync pipeline confirms each skill carries:
skill.oms.sig — detached OMS-format signature (verifiable against nv-agent-root-cert.pem)skill-card.md — skill identity and governance cardevals/evals.json, evals/*.json, eval/*.json, or benchmark/evals.jsonWhen evaluation runs produce a BENCHMARK.md, it ships alongside the skill so consumers can see verifiable benchmark uplift data.
This repository adheres to the Agent Skills specification:
SKILL.md file at their root.name and description fields.skills-ref reference library.Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
This code is dual-licensed with documentation/skills under the CC-BY-4.0 AND source code under Apache-2.0 license terms. The full license texts can be found in LICENSE-APACHE and LICENSE-CC-BY-4.0 respectively.
license: Apache-2.0
name: doca-aes-gcm
description: >
Use this skill when the user is doing hands-on DOCA AES-GCM
work on a BlueField DPU or ConnectX NIC — configuring
`doca_aes_gcm_task_encrypt` / `_task_decrypt`, querying
`doca_aes_gcm_cap_*` for per-key-type (only
`DOCA_AES_GCM_KEY_128` / `_256` — AES-192 not supported) and
per-task support, sizing plaintext against the max-buf cap,
setting source / destination mmap permissions, validating
with a NIST GCMVS or RFC 5288 vector, or debugging
DOCA_ERROR_* including the security-critical
tag-verification-failed outcome on decrypt. Trigger even
when the user does not explicitly mention "DOCA AES-GCM" or
"AEAD" — typical implicit phrasings: "decrypt completion
IO_FAILED", "auth tag isn't verifying",
"NOT_PERMITTED on my encrypt buffer", "is AES-192-GCM on
this BlueField" (no), or "encrypted record came back
tampered". Refuse and route elsewhere for non-GCM AES modes
(CBC / CTR / XTS — CPU OpenSSL), key management
(KMS / HSM / rotation), SHA (doca-sha), or general AEAD
background.
metadata:
kind: library
compatibility: >
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 local install via
`pkg-config doca-aes-gcm` and inspects
/opt/mellanox/doca/{lib,include,samples,applications}; the
accelerator must advertise the desired key type at runtime
via `doca_aes_gcm_cap_task_{encrypt,decrypt}_is_key_type_supported`
(only `DOCA_AES_GCM_KEY_128` / `_256`; AES-192 unsupported).Where to start: This skill assumes DOCA is already installed and
the user is doing hands-on AES-GCM-acceleration 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 AES-GCM 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 the accelerator for this encryption?",
the path-selection rule in
CAPABILITIES.md ## Capabilities and modes
is the first stop. If the user is treating AES-GCM as a confidentiality-only
primitive (raw AES-CTR / AES-CBC style), stop and read the AEAD note
in CAPABILITIES.md ## Safety policy
first — AES-GCM is authenticated encryption, and confusing the two is
the most expensive failure mode this skill exists to prevent.
The CLASSES of DOCA AES-GCM 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.
EVP_aes_256_gcm on the CPU?". Answered by
the path-selection table in
CAPABILITIES.md ## Capabilities and modes
CAPABILITIES.md ## Safety policy.DOCA_AES_GCM_KEY_128 / DOCA_AES_GCM_KEY_256;
AES-192 is not in the enum and is not supported. For the two
real key types, gate on
doca_aes_gcm_cap_task_encrypt_is_key_type_supported(devinfo, key_type)
and the matching _decrypt_is_key_type_supported. AES-192 is
not available — route to a CPU library.) Answered by the
per-key-type capability queries and the per-task
doca_aes_gcm_cap_task_*_is_supported queries in
CAPABILITIES.md ## Capabilities and modes
TASKS.md ## configure.doca_aes_gcm_task_decrypt
completion reports an error — is the plaintext output safe to
use?". Answered by the auth-tag verification rule in
CAPABILITIES.md ## Safety policy
(do not use the plaintext if the auth tag did not verify) +
the decrypt completion-handling workflow in
TASKS.md ## test and
TASKS.md ## debug.doca_aes_gcm_task_encrypt returns
DOCA_ERROR_NOT_PERMITTED". Answered by the permission matrix
in CAPABILITIES.md ## Safety policy
TASKS.md ## test.CAPABILITIES.md ## Version compatibility,
which cross-links the canonical detection chain in
doca-version and adds the
AES-GCM-specific "discover key sizes via cap query" bullets.DOCA_ERROR_* from an AES-GCM call mean and
which layer caused it?" — worked example: "DOCA_ERROR_IO_FAILED
on the decrypt completion — is this a hardware bug or a tag
mismatch?". Answered by the AES-GCM overlay on the cross-library
taxonomy in
CAPABILITIES.md ## Error taxonomy
TASKS.md ## debug that escalates to
doca-debug.This skill serves external developers building applications that
consume the DOCA AES-GCM library — i.e., users whose code calls
doca_aes_gcm_* (directly in C/C++, or through FFI/bindings from
another language) to offload AES-GCM authenticated encryption /
decryption onto a BlueField DPU or ConnectX accelerator. It is not
for NVIDIA developers contributing to DOCA AES-GCM itself.
Language scope. DOCA AES-GCM ships as a C library with
pkg-config module name doca-aes-gcm. 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, AEAD-semantics, and encrypt-vs-decrypt guidance
language-neutral, and to route the agent to the public C ABI as the
authoritative surface that any wrapper will eventually call.
Key handling is out of scope. This skill teaches the agent how to
use the DOCA AES-GCM library; it does not teach the user how to
generate, store, rotate, or distribute AES-GCM keys. Key-management
is the user's responsibility (a KMS, an HSM, a sealed file, an env
var the user trusts). The skill's only key-handling rule is the
operational one in
CAPABILITIES.md ## Safety policy:
do not log keys, do not commit them to source, and treat any key
buffer the program holds as sensitive memory.
Load this skill when the user is doing hands-on DOCA AES-GCM work, in any language. Concretely:
doca_aes_gcm context on a doca_dev and
configuring at least one task type (doca_aes_gcm_task_encrypt
and/or doca_aes_gcm_task_decrypt) before doca_ctx_start().doca_aes_gcm_task_encrypt —
takes key + IV + AAD + plaintext, produces ciphertext + auth
tag) and decrypt (doca_aes_gcm_task_decrypt — takes key +
IV + AAD + ciphertext + expected auth tag, produces plaintext
and verifies the tag) for the user's data shape.doca_mmap correctly for the source buffer
(DOCA_ACCESS_FLAG_LOCAL_READ_ONLY at minimum — the plaintext on
encrypt or the ciphertext on decrypt) and the destination buffer
(DOCA_ACCESS_FLAG_LOCAL_READ_WRITE).DOCA_AES_GCM_KEY_128 /
DOCA_AES_GCM_KEY_256 — AES-192 is not in the library) the
active device's accelerator advertises via
doca_aes_gcm_cap_task_encrypt_is_key_type_supported /
doca_aes_gcm_cap_task_decrypt_is_key_type_supported, and which task types via
doca_aes_gcm_cap_task_encrypt_is_supported /
_task_decrypt_is_supported.doca_aes_gcm_cap_task_encrypt_get_max_buf_size(devinfo).DOCA_ERROR_* returned from an AES-GCM call
(lifecycle vs. unsupported key size vs. permission vs. tag
verification failure on decrypt) and the task-completion event on
the progress engine.Do not load this skill for general DOCA orientation, install of
DOCA itself, AES modes that are not GCM (CBC / CTR / XTS — those are
not in this library and CPU + OpenSSL is the right answer), SHA
hashing on the same accelerator family (use
doca-sha), 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 AES-GCM-specific material lives in two companion files:
CAPABILITIES.md — what DOCA AES-GCM can express on this version:
the two task types (encrypt and decrypt), the AEAD output shape
(ciphertext + auth tag on encrypt; verified plaintext on decrypt),
the AES-GCM key-type surface (only 128-bit and 256-bit — AES-192
is not in the enum, both cap-queried), the capability-query
surface (doca_aes_gcm_cap_* for task presence, key-type
support, and buffer sizing), the
AES-GCM error taxonomy (mapped onto the cross-library
DOCA_ERROR_* set, with explicit treatment of the
tag-verification-failure outcome as security-critical), the
observability surface (per-task completion events on the progress
engine), the safety policy that gates source / destination mmap
permission decisions and key-handling cautions, and the
path-selection rule (when to use doca-aes-gcm versus CPU OpenSSL
or a different DOCA crypto library).TASKS.md — step-by-step workflows for the six in-scope AES-GCM
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_aes_gcm/. 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 AES-GCM-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-aes-gcm 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 "AES-GCM-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 AES-GCM
page lives at docs.nvidia.com/doca/sdk/DOCA-AES-GCM/; it is a
member of the DOCA Crypto Acceleration family alongside
doca-sha.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
AES-GCM-specific "discover key sizes + task presence 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 AES-GCM specifics on
top.doca-sha — the sibling library in the
DOCA Crypto Acceleration family for hardware-accelerated SHA
hashing. Load alongside this skill when the user's flow is
authenticated-encryption with a separate keyed hash (rare —
AES-GCM already provides authentication via its tag) or when the
user is comparing offload paths between the two.doca-debug — the cross-cutting
debug ladder (install / version / build / link / runtime /
program / driver). AES-GCM-specific debug (key-size-not-supported,
oversized input, tag-verification failure on decrypt) overlays on
top of that ladder.
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