nvidia
출처를 확인한 실질적인 문서가 있는 Skill 55개입니다. 카드를 열어 원문, 패키지 구성과 설치 방법을 확인하세요.
nvidiadebug-openshell-cluster
Debug why an OpenShell gateway deployment is unhealthy, unreachable, or unable to create sandboxes. Use for gateway health failures, Docker/Podman runtime issues, Helm failures, Kubernetes scheduling, TLS or auth, gateway interceptors, supervisor middleware startup or runtime failures, external compute-driver sockets, VM drivers, or sandbox startup. Trigger keywords - debug gateway, gateway failing, deployment failing, helm install failing, cluster health, gateway health, gateway not starting, h
- 1시간 설치 수
- 3
- GitHub Stars
- 2.1만
- 업데이트
- 10월 30일
nvidiaopenshell-cli
Guide agents through using the OpenShell CLI (openshell) for sandbox management, gateway registration, provider configuration and refresh, profile management, policy iteration, settings, service exposure, BYOC workflows, and attached-provider inference. Covers basic through advanced multi-step workflows. Trigger keywords - openshell, sandbox create, sandbox exec, sandbox connect, logs, provider create, profile list, profile describe, provider refresh, policy set, policy get, settings, service ex
- 1시간 설치 수
- 3
- GitHub Stars
- 2.1만
- 업데이트
- 10월 30일
nvidiaaccelerated-computing-cudf
Official NVIDIA-authored guidance for NVIDIA cuDF GPU DataFrames, pandas acceleration, dask-cuDF, ETL, joins, groupby, CSV/Parquet I/O, nullable semantics, and multi-GPU DataFrame workloads.
- 1시간 설치 수
- 3
- GitHub Stars
- 3.7천
- 업데이트
- 10월 26일
nvidiarag-blueprint
NVIDIA RAG Blueprint — deploy, configure, troubleshoot, and manage. Handles any RAG action: deploy, install, start, enable, disable, toggle, change, configure, troubleshoot, debug, fix, shutdown, stop, or tear down any RAG feature or service (Agentic RAG, VLM, guardrails, query rewriting, models, search, ingestion, observability, summarization, reasoning, and more).
- 1시간 설치 수
- 3
- GitHub Stars
- 3.7천
- 업데이트
- 10월 26일
nvidiaskill-inspector
Review AI agent skills before installation using NVIDIA SkillSpector and source-aware semantic review. Use when asked whether a skill or downloaded skill folder is safe, trustworthy, installable, over-permissioned, or malicious.
- 1시간 설치 수
- 3
- GitHub Stars
- 2.3만
- 업데이트
- 10월 28일
nvidiadebug-inference
Debug inference clients that use an attached provider and its native endpoint, including hosted APIs and host-local Ollama, vLLM, SGLang, TRT-LLM, LM Studio, or NIM. Use for provider attachment, endpoint policy, credential substitution, topology, and migration from the removed managed inference endpoint. Trigger keywords - debug inference, managed inference endpoint, local inference, ollama, lm studio, vllm, sglang, trtllm, NIM, inference failing, model server unreachable, credentialendpointmism
- 1시간 설치 수
- 2
- GitHub Stars
- 1.6만
- 업데이트
- 10월 13일
nvidiagenerate-sandbox-policy
Generate sandbox security policies from plain-language requirements and optional REST API documentation. Produces L4 or fine-grained L7 network policies and ordered network middleware configuration. Use for API access rules, middleware host selection, failure behavior, or built-in and operator-run middleware attachment. Trigger keywords - generate policy, create policy, update policy, change policy, sandbox policy, network policy, API policy, security policy, allow API, restrict API, network mid
- 1시간 설치 수
- 2
- GitHub Stars
- 1.6만
- 업데이트
- 10월 13일
nvidiacuopt-install
Install cuOpt for Python, C, or server via pip, conda, or Docker; verify the install. For building cuOpt from source, see cuopt-developer.
- 1시간 설치 수
- 2
- GitHub Stars
- 3.7천
- 업데이트
- 10월 26일
nvidiacuopt-numerical-optimization-api
LP, MILP, and QP (beta) with cuOpt — Python, C, and CLI. Use when the user is solving LP, MILP, or QP with any cuOpt interface.
- 1시간 설치 수
- 2
- GitHub Stars
- 3.7천
- 업데이트
- 10월 26일
nvidiadata-designer
Use when the user wants to create a dataset, generate synthetic data, or build a data generation pipeline.
- 1시간 설치 수
- 2
- GitHub Stars
- 3.7천
- 업데이트
- 10월 26일
nvidianvidia-skill-finder
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, Isaac, 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.
- 1시간 설치 수
- 2
- GitHub Stars
- 3.7천
- 업데이트
- 10월 26일
nvidiacuopt-numerical-optimization-api
LP, MILP, and QP (beta) with cuOpt — Python, C, and CLI. Use when the user is solving LP, MILP, or QP with any cuOpt interface.
- 1시간 설치 수
- 1
- GitHub Stars
- 1.1천
- 업데이트
- 10월 20일
nvidiaosmo-user
Drive OSMO through its CLI or a connected MCP for cloud-robotics compute on behalf of an end user: check resources, submit/monitor/debug/explain workflows, fetch logs and Grafana/Kubernetes links, inspect direct data storage, manage workflow apps, and set workflow credentials. Use whenever the user asks about OSMO pools, quota, GPUs, or nodes, or about submitting, listing, querying, monitoring, or troubleshooting workflows — including failed, PENDING, queued, stuck, or image-pull-blocked workflo
- 1시간 설치 수
- 1
- GitHub Stars
- 268
- 업데이트
- 10월 8일
nvidiacudaq-guide
Use for CUDA-Q setup, simulation targets, QPU access, and @cudaq.kernel authoring guidance.
- 1시간 설치 수
- 1
- GitHub Stars
- 3.4천
- 업데이트
- 9월 22일
nvidiacuopt-multi-objective-exploration
Trace, complete, and interpret the Pareto frontier across competing objectives using repeated single-objective cuOpt solves (weighted-sum and ε-constraint).
- 1시간 설치 수
- 1
- GitHub Stars
- 3.6천
- 업데이트
- 10월 14일
nvidiadeepstream-dev
NVIDIA DeepStream SDK development with Python pyservicemaker API. Use when building video analytics pipelines, GStreamer-based video processing, TensorRT inference integration, object detection/tracking, or Kafka/message broker integration.
- 1시간 설치 수
- 1
- GitHub Stars
- 3.4천
- 업데이트
- 9월 22일
nvidiadeepstream-import-vision-model
Use this skill to bring a supported object-detection vision model from HuggingFace or NVIDIA NGC into an NVIDIA DeepStream pipeline with end-to-end automation: ONNX download, SafeTensors export, TRT engine build, custom nvinfer bbox parser, multi-stream benchmark, and PDF report. Object detection models only.
- 1시간 설치 수
- 1
- GitHub Stars
- 3.4천
- 업데이트
- 9월 22일
nvidiafoundationpose-pipeline
Adapt BOP datasets, run the FoundationPose perception pipeline with TAO depth, and evaluate or re-score pose results. Use for dataset runs and result comparisons; environment installation belongs to foundationpose-setup.
- 1시간 설치 수
- 1
- GitHub Stars
- 3.5천
- 업데이트
- 9월 25일
nvidiai4h-lerobot-viz
Serve and visually inspect a converted LeRobot dataset in the browser. Use for videos and state/action timelines; do not use for raw workflow HDF5 or incomplete conversion output.
- 1시간 설치 수
- 1
- GitHub Stars
- 3.5천
- 업데이트
- 9월 25일
nvidiai4h-workflow
Orient users to the i4h workflow runtime and route them to the correct stage skill. Use for architecture, support, or where-to-start questions; do not execute a known stage.
- 1시간 설치 수
- 1
- GitHub Stars
- 3.5천
- 업데이트
- 9월 25일
nvidiai4h-workflow-dataset-annotate
Grade or filter workflow HDF5 episodes with an OpenAI-compatible vision model. Use for visual success labels; do not use for replay, policy evaluation, or recordings without frames.
- 1시간 설치 수
- 1
- GitHub Stars
- 3.5천
- 업데이트
- 9월 25일
nvidiai4h-workflow-dataset-replay
Replay a workflow HDF5 episode through its original Scene. Use for visual trajectory and recording verification; do not use for policy evaluation or LeRobot data.
- 1시간 설치 수
- 1
- GitHub Stars
- 3.5천
- 업데이트
- 9월 25일
nvidiai4h-workflow-dataset-teleop
Record demonstrations through a workflow's teleop Task into workflow HDF5. Use for keyboard, leader, VR, or bus input; do not use for policy evaluation or autonomous rule-based Tasks.
- 1시간 설치 수
- 1
- GitHub Stars
- 3.5천
- 업데이트
- 9월 25일
nvidiai4h-workflow-scene-edit
Edit an existing workflow Scene or task contract. Use for assets, layout, cameras, randomization, task text, or success rules; do not use to create a new workflow.
- 1시간 설치 수
- 1
- GitHub Stars
- 3.5천
- 업데이트
- 9월 25일