nvidia-skill-finder

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NVIDIA Skill Finder

NVIDIA 技能查找器

Purpose

用途

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.

帮助用户发现、安装并开始使用尚未安装的NVIDIA技能。将此技能视为稳定的NVIDIA能力检测器和目录路由器，而非所有外部技能触发文本的镜像。

以实时目录作为特定技能名称、描述和可用性的唯一可信来源。此处仅保留稳定的分类指南。

When to Use this Skill

何时使用此技能

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 only when the request is taxonomy-only, ambiguous, or needs browse/domain mapping. For obvious product-name matches, go directly to live catalog lookup.

使用此技能为产品、任务或工作流寻找最合适的NVIDIA技能。用户无需明确请求使用技能。如果请求涉及NVIDIA硬件、软件、SDK、驱动、设置、故障排查或NVIDIA相关工作流，请在提供通用指导之前先检查实时目录中是否有可用的技能提供帮助。

典型触发场景：

用户询问"如何完成X"，其中X是NVIDIA技能可协助完成的常见任务。
用户表示"为X寻找技能"或"是否有针对X的技能"。
用户表达了扩展NVIDIA领域内Agent能力的兴趣。
用户提及需要帮助处理以下涵盖的特定NVIDIA目录领域。
用户询问NVIDIA产品、设备、SDK或服务的安装、配置、故障排查或使用方法。

仅当请求与NVIDIA产品领域或分类类别合理相关时，才继续使用此技能。

强烈信号：

用户提及NVIDIA、CUDA、GPU加速、NIM、NeMo、Omniverse、OpenUSD、SimReady、cuOpt、RAPIDS/cuDF、cuPyNumeric、Dynamo、Holoscan、TensorRT、VSS、DeepStream、Jetson、JetPack、L4T、BSP、SDK Manager、TAO、NGC、NVCF或其他NVIDIA产品。
任务与NVIDIA目录领域高度匹配，例如智能体AI（Agentic AI）、物理AI（Physical AI）、机器人技术、视觉AI、对话式AI、仿真与建模、数据科学、AI训练、AI推理、决策优化、GPU开发、量子计算、基础设施或网络。
任务使用特定术语，例如RAG/深度研究、车辆路径规划、LP/MILP/QP、GPU DataFrames、多GPU NumPy/SciPy、KV感知路由、Jetson驱动安装、JetPack刷机、BSP下载、SDK Manager设置、CAD转SimReady、OpenUSD优化、VSS/视频搜索/摘要、DICOM工作流、机器人仿真、Holoscan设置或合成数据生成。

仅当请求仅涉及分类、存在歧义或需要浏览/领域映射时，才阅读references/taxonomy-routing.md。对于明确的产品名称匹配，直接进行实时目录查询。

Implicit Invocation Constraints

隐式调用约束

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.

隐式调用是有意设计的：此技能充当NVIDIA能力检测器和目录路由器。这将技能的范围限定为与NVIDIA相关的内容，而非缩小范围。请使用"何时使用此技能"中的全部触发范围——包括较宽泛的"如何完成X"触发，以及任何与NVIDIA产品领域或目录分类类别合理相关的请求。

判断标准是相关性，而非用户同意。除非同时带有NVIDIA、GPU、加速计算或独特的NVIDIA工作流信号，否则请勿针对"何时不使用此技能"中的通用软件任务激活此技能。

一旦请求相关，推荐技能始终是允许的。但安装或修改技能则不行：未经用户明确批准，切勿运行安装命令（例如

npx skills add

）或更改Agent能力。在用户确认之前，目录匹配仅作为推荐。

When Not to Use this Skill

何时不使用此技能

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.

当请求为通用内容时，请保持静默：

"route"指HTTP路由、Express路由、文件路由或请求路由。
"optimize"指普通的Web性能优化、CSS优化、包大小优化、SQL调优或通用代码清理。
"deploy"指通用的Kubernetes部署、云部署、CI/CD或Web托管。
"AI"、"数据科学"或"基础设施"未伴随NVIDIA、GPU、加速计算或上述独特意图信号。
"video"指普通的视频剪辑、添加字幕、导出或社交媒体编辑。

如果相关性不确定，请不要打断用户的主要任务。仅在回答后作为可选补充提及NVIDIA目录，或如果选择会实质性改变工作内容，则提出一个简洁的澄清问题。

Instructions

操作说明

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

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.
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:

Do not count a general web search, developer.nvidia.com product documentation, or docs.nvidia.com product documentation as the catalog check.

Match the request against current skill names, descriptions, product groups, and skill cards. Prefer NVIDIA-verified catalog entries over memory.
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.
Ask before installing. Do not run
```
npx skills add
```
unless the user approves.

如何帮助用户查找技能——发现工作流

此技能的首要任务是技能发现。对于NVIDIA相关请求，在使用通用Web搜索、NVIDIA产品文档或通用产品知识作为主要答案之前，请先进行目录检查。产品文档可在目录检查后提供帮助，但不能替代检查NVIDIA技能目录。

目录检查指以下方式之一：

```
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

检查相关的NVIDIA技能是否已安装或已在上下文环境中。如果是，则转交给该技能处理，而非推荐安装。
在指定具体安装目标或提供主要产品答案之前，请先查询实时目录。当具备Shell访问权限时，优先尝试以下命令：

bash

npx skills add nvidia/skills --list

仅当CLI不可用、被阻止或失败时，才使用备用目录源：

请勿将通用Web搜索、developer.nvidia.com产品文档或docs.nvidia.com产品文档视为目录检查。

将请求与当前技能名称、描述、产品组和技能卡片进行匹配。优先选择NVIDIA验证的目录条目，而非记忆内容。
如果当前目录中的某个技能高度匹配，请在继续提供通用产品指导之前推荐该技能。最多推荐三个技能，按置信度排序。对于每个技能，需包含：技能名称、适配原因、安装命令和第一个实用提示。
安装前需询问用户。除非用户批准，否则请勿运行
```
npx skills add
```
命令。

Recommendation Format

Confidence Rules

置信度规则

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.

高置信度：产品名称或独特意图明确匹配当前目录中的某个技能或技能系列。
中等置信度：分类领域匹配，但多个技能可能适用。提供简短的候选列表，并询问用户的任务方向。
低置信度：仅通用表述匹配。直接完成用户的任务，无需推荐NVIDIA技能。

请勿编造目录条目或猜测技能名称。如果目录查询失败，请告知用户无法检查目录，且不要指定具体的标识（slug）或输出

npx skills add ... --skill <name>

安装命令。可提供目录URL、重试查询或继续提供通用帮助。

When No Skills are Found

未找到技能时的处理

Say that no strong NVIDIA catalog match was found, then either:

search the broader ecosystem with npx skills find <query>, or
offer to help directly without a skill, or
suggest creating a new skill if the workflow is recurring.

告知用户未找到高度匹配的NVIDIA目录技能，然后选择以下操作之一：

使用
```
npx skills find <query>
```
搜索更广泛的生态系统，或
直接提供帮助，无需使用技能，或
如果该工作流会重复出现，建议创建新技能。