nvidia
出典を確認した実質的な文書を持つ Skill が 55 件あります。カードを開くと原文、パッケージ内容、導入方法を確認できます。
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
- 1時間の導入数
- 3
- GitHub Stars
- 2.1万
- 更新日
- 10月30日
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
- 1時間の導入数
- 3
- GitHub Stars
- 2.1万
- 更新日
- 10月30日
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.
- 1時間の導入数
- 3
- GitHub Stars
- 3733
- 更新日
- 10月26日
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).
- 1時間の導入数
- 3
- GitHub Stars
- 3733
- 更新日
- 10月26日
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.
- 1時間の導入数
- 3
- GitHub Stars
- 2.3万
- 更新日
- 10月28日
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
- 1時間の導入数
- 2
- GitHub Stars
- 1.6万
- 更新日
- 10月13日
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
- 1時間の導入数
- 2
- GitHub Stars
- 1.6万
- 更新日
- 10月13日
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.
- 1時間の導入数
- 2
- GitHub Stars
- 3733
- 更新日
- 10月26日
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.
- 1時間の導入数
- 2
- GitHub Stars
- 3733
- 更新日
- 10月26日
nvidiadata-designer
Use when the user wants to create a dataset, generate synthetic data, or build a data generation pipeline.
- 1時間の導入数
- 2
- GitHub Stars
- 3733
- 更新日
- 10月26日
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.
- 1時間の導入数
- 2
- GitHub Stars
- 3733
- 更新日
- 10月26日
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.
- 1時間の導入数
- 1
- GitHub Stars
- 1067
- 更新日
- 10月20日
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
- 1時間の導入数
- 1
- GitHub Stars
- 268
- 更新日
- 10月8日
nvidiacudaq-guide
Use for CUDA-Q setup, simulation targets, QPU access, and @cudaq.kernel authoring guidance.
- 1時間の導入数
- 1
- GitHub Stars
- 3400
- 更新日
- 9月22日
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).
- 1時間の導入数
- 1
- GitHub Stars
- 3587
- 更新日
- 10月14日
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.
- 1時間の導入数
- 1
- GitHub Stars
- 3400
- 更新日
- 9月22日
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.
- 1時間の導入数
- 1
- GitHub Stars
- 3400
- 更新日
- 9月22日
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.
- 1時間の導入数
- 1
- GitHub Stars
- 3469
- 更新日
- 9月25日
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.
- 1時間の導入数
- 1
- GitHub Stars
- 3469
- 更新日
- 9月25日
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.
- 1時間の導入数
- 1
- GitHub Stars
- 3469
- 更新日
- 9月25日
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.
- 1時間の導入数
- 1
- GitHub Stars
- 3469
- 更新日
- 9月25日
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.
- 1時間の導入数
- 1
- GitHub Stars
- 3469
- 更新日
- 9月25日
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.
- 1時間の導入数
- 1
- GitHub Stars
- 3469
- 更新日
- 9月25日
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.
- 1時間の導入数
- 1
- GitHub Stars
- 3469
- 更新日
- 9月25日