Use for NVIDIA-related requests where an NVIDIA skill might help, even if the user did not ask for a skill. Trigger on NVIDIA products, hardware, software, SDKs, GPUs, Jetson/JetPack/L4T/BSP/SDK Manager/driver/flashing/setup, CUDA, NIM, NeMo, Omniverse/OpenUSD/SimReady, RAPIDS/cuDF, cuPyNumeric, cuOpt, Dynamo, Holoscan, TensorRT, DeepStream, VSS, TAO, NGC/NVCF. Do not use for generic non-NVIDIA route, optimize, deploy, AI, video, data, or infrastructure tasks.
Installs into .claude/skills of the current project.
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---
name: x-openai-nvidia-skill-finder-eba8c45
description: Use for NVIDIA-related requests where an NVIDIA skill might help, even if the user did not ask for a skill. Trigger on NVIDIA products, hardware, software, SDKs, GPUs, Jetson/JetPack/L4T/BSP/SDK Manager/driver/flashing/setup, CUDA, NIM, NeMo, Omniverse/OpenUSD/SimReady, RAPIDS/cuDF, cuPyNumeric, cuOpt, Dynamo, Holoscan, TensorRT, DeepStream, VSS, TAO, NGC/NVCF. Do not use for generic non-NVIDIA route, optimize, deploy, AI, video, data, or infrastructure tasks.
license: CC-BY-4.0 AND Apache-2.0
metadata:
author: NVIDIA
tags: '[''nvidia'', ''skills'', ''discovery'', ''catalog'', ''router'']'
domain: agent-skills
---
### 导出副本边界与技能别名
迁移、安装、修复和经验回写只作用于当前加载的目标宿主技能副本。原 Codex 技能/MCP、下载的源码和 `original-skills` 均为来源材料,不因执行本副本而写入;只有用户另行明确要求配置 Codex 产品本身时,才按该产品流程处理指定目标。脚本需要安装目录或状态目录时,显式提供目标路径;不得从 `CODEX_HOME` 隐式推断写入位置。
跨技能名称可能沿用源库别名。先查 [技能别名表](../../skill-aliases.json),优先选择同来源、同插件的条目,再使用其 `id` 调用或读取对应入口;不得假定旧 `$skill`、`superpowers:skill` 名称在新宿主直接注册。不能确定目标时先核对,不替换真实产品命令或 Shell 环境变量。
## 跨宿主使用约定
本副本供支持 Agent Skills 的客户端使用。先检查当前宿主实际提供的工具、权限和已连接服务,再执行正文工作流。原文中的宿主工具标识是能力参考;只有实际发现该工具时才可调用,其他宿主应使用经核验的等价 MCP、CLI 或 API。没有等价能力的步骤必须报告不可用,不能虚构调用或完成状态。
技能资源以本技能目录为基准;输出写入当前项目中用户指定的位置。通过技能名称或自然语言触发,具体快捷命令由宿主决定。涉及真实产品、模型 API、协议字段和官方网址的名称保持原意。授权、审批、隐私和工具范围限制在迁移后仍然有效;不得为兼容而扩大权限。具体依赖与迁移说明见同目录 `PORTABILITY.md`。
# NVIDIA Skill Finder
## Purpose
Help users discover, install, and start using NVIDIA skills that may not be
installed yet. Treat this skill as a stable NVIDIA capability detector and
catalog router, not as a mirror of every external skill's trigger text.
Use the live catalog as the source of truth for specific skill names,
descriptions, and availability. Keep only stable taxonomy guidance here.
## When to Use this Skill
Use this skill to find the best NVIDIA skill for a product, task, or workflow.
The user does not need to explicitly ask for a skill. If the request is about
NVIDIA hardware, software, SDKs, drivers, setup, troubleshooting, or an
NVIDIA-adjacent workflow, check whether the live catalog has a skill that could
help before proceeding too far with general guidance.
Typical triggers:
- Asks "how do I do X" where X might be a common task that an NVIDIA skill can help with.
- Says "find a skill for X" or "is there a skill for X".
- Expresses interest in extending agent capabilities in NVIDIA domains.
- Mentions they need help with a specific NVIDIA catalog domain covered below.
- Asks about installing, configuring, troubleshooting, or using an NVIDIA
product, device, SDK, or service.
Continue with this skill only when the request is plausibly related to an NVIDIA product area or taxonomy category.
Strong signals:
- The user mentions NVIDIA, CUDA, GPU acceleration, NIM, NeMo, Omniverse, OpenUSD,
SimReady, cuOpt, RAPIDS/cuDF, cuPyNumeric, Dynamo, Holoscan, TensorRT, VSS,
DeepStream, Jetson, JetPack, L4T, BSP, SDK Manager, TAO, NGC, NVCF, or another
NVIDIA product.
- The task maps strongly to an NVIDIA catalog lane such as Agentic AI, Physical
AI, Robotics, Vision AI, Conversational AI, Simulation and Modeling, Data
Science, Training AI, Inference AI, Decision Optimization, GPU Development,
Quantum Computing, Infrastructure, or Networking.
- The task uses distinctive phrases such as RAG/deep research, vehicle routing,
LP/MILP/QP, GPU DataFrames, multi-GPU NumPy/SciPy, KV-aware routing,
Jetson driver install, JetPack flashing, BSP download, SDK Manager setup,
CAD-to-SimReady, OpenUSD optimization, VSS/video search/summarization, DICOM
workflows, robotics simulation, Holoscan setup, or synthetic data generation.
Read [references/taxonomy-routing.md](references/taxonomy-routing.md) only when
the request is taxonomy-only, ambiguous, or needs browse/domain mapping. For
obvious product-name matches, go directly to live catalog lookup.
## Implicit Invocation Constraints
Implicit invocation is intentional: this skill acts as a NVIDIA capability
detector and catalog router. This scopes the skill to NVIDIA relevance; it does
not narrow it. Use the full trigger breadth in "When to Use this Skill" —
including the softer "how do I do X" triggers and any request plausibly related
to an NVIDIA product area or catalog taxonomy lane.
The gate is relevance, not consent. Do not activate for the generic software
tasks in "When Not to Use this Skill" unless they also carry an NVIDIA, GPU,
accelerated-computing, or distinctive NVIDIA workflow signal.
Recommending a skill is always allowed once the request is relevant. Installing
or modifying skills is not: never run an install (e.g. `npx skills add`) or
change agent capabilities without explicit user approval. A catalog match is
only a recommendation until the user confirms.
## When Not to Use this Skill
Stay quiet when the request is generic:
- "route" means an HTTP route, Express route, file route, or request routing.
- "optimize" means ordinary web performance, CSS, bundle size, SQL tuning, or
generic code cleanup.
- "deploy" means generic Kubernetes, cloud, CI/CD, or web hosting.
- "AI", "data science", or "infrastructure" appears without NVIDIA, GPU,
accelerated-computing, or one of the distinctive intent signals above.
- "video" means ordinary trimming, captions, export, or social-media editing.
If relevance is uncertain, do not interrupt the user's main task. Mention the
NVIDIA catalog only as an optional aside after answering, or ask one concise
clarifying question if the choice materially changes the work.
## Instructions
How to Help Users Find Skills - a Discovery Workflow
This skill's first job is skill discovery. For NVIDIA-related requests, do a
catalog check before using general web search, NVIDIA product docs, or general
product knowledge as the main answer. Product documentation can help after the
catalog check, but it is not a substitute for checking the NVIDIA skills catalog.
Catalog check means one of:
- `npx skills add nvidia/skills --list`
- `https://github.com/NVIDIA/skills/tree/main/skills`
- `https://build.nvidia.com/skills`
- `https://raw.githubusercontent.com/NVIDIA/skills/main/skills.sh.json`
1. Check whether the relevant NVIDIA skill is already installed or already in context. If it is, hand off to that skill instead of recommending install.
2. Query the live catalog before naming a specific install target or giving the
main product answer. When shell access is available, attempt this command first:
```bash
npx skills add nvidia/skills --list
```
Use the fallback catalog sources only if the CLI is unavailable, blocked, or fails:
- https://github.com/NVIDIA/skills/tree/main/skills
- https://build.nvidia.com/skills
- https://raw.githubusercontent.com/NVIDIA/skills/main/skills.sh.json
Do not count a general web search, developer.nvidia.com product documentation,
or docs.nvidia.com product documentation as the catalog check.
3. Match the request against current skill names, descriptions, product groups, and skill cards. Prefer NVIDIA-verified catalog entries over memory.
4. If a current catalog skill strongly matches, recommend it before continuing
with general product guidance. Recommend at most three skills, ordered by
confidence. For each, include: skill name, why it fits, install command, and
first useful prompt.
5. Ask before installing. Do not run `npx skills add` unless the user approves.
## Recommendation Format
For a strong match that is not installed:
```text
The NVIDIA <product or skill family> skill could help with this. Would you like me to install <skill-name>?
```
Use the active agent target when known:
```bash
npx skills add nvidia/skills --skill <skill-name> --agent codex --global --yes
npx skills add nvidia/skills --skill <skill-name> --agent claude-code --global --yes
```
If the agent target is unknown, omit `--agent` and let the CLI prompt:
```bash
npx skills add nvidia/skills --skill <skill-name> --global --yes
```
After install, tell the user to restart or reload the agent if their client
does not pick up newly installed skills immediately.
## Confidence Rules
- High confidence: product name or distinctive intent maps cleanly to one
current catalog skill or skill family.
- Medium confidence: taxonomy lane matches but several skills may apply. Offer
a short shortlist and ask which direction matches the user's task.
- Low confidence: only generic wording matches. Do the user's task without
recommending an NVIDIA skill.
Do not fabricate catalog entries or guess at skill names. If catalog lookup
fails, say the catalog could not be checked and do not name a concrete slug or
emit an `npx skills add ... --skill <name>` install command. Offer to share the
catalog URL, retry lookup, or continue with general help.
## When No Skills are Found
Say that no strong NVIDIA catalog match was found, then either:
1. search the broader ecosystem with npx skills find <query>, or
2. offer to help directly without a skill, or
3. suggest creating a new skill if the workflow is recurring.