nvidia
52 skills with substantive source documentation and an official publisher or observed installation demand. Read each skill’s original documentation through its card.
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.
- 安装量
- 2
- GitHub Stars
- 3471
- 最近更新
- 9月25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.
- 安装量
- 2
- GitHub Stars
- 1.9万
- 最近更新
- 10月4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
- 安装量
- 1
- GitHub Stars
- 1.3万
- 最近更新
- 10月1日
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
- 安装量
- 1
- GitHub Stars
- 1.5万
- 最近更新
- 10月8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
- 安装量
- 1
- GitHub Stars
- 1.3万
- 最近更新
- 10月1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
- 安装量
- 1
- GitHub Stars
- 268
- 最近更新
- 10月8日
nvidiacudaq-guide
Use for CUDA-Q setup, simulation targets, QPU access, and @cudaq.kernel authoring guidance.
- 安装量
- 1
- GitHub Stars
- 3400
- 最近更新
- 9月22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.
- 安装量
- 1
- GitHub Stars
- 3560
- 最近更新
- 10月9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.
- 安装量
- 1
- GitHub Stars
- 3471
- 最近更新
- 9月25日
nvidiadata-designer
Use when the user wants to create a dataset, generate synthetic data, or build a data generation pipeline.
- 安装量
- 1
- GitHub Stars
- 3400
- 最近更新
- 9月22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.
- 安装量
- 1
- GitHub Stars
- 3400
- 最近更新
- 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.
- 安装量
- 1
- GitHub Stars
- 3400
- 最近更新
- 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.
- 安装量
- 1
- GitHub Stars
- 3469
- 最近更新
- 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.
- 安装量
- 1
- GitHub Stars
- 3469
- 最近更新
- 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.
- 安装量
- 1
- GitHub Stars
- 3469
- 最近更新
- 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.
- 安装量
- 1
- GitHub Stars
- 3469
- 最近更新
- 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.
- 安装量
- 1
- GitHub Stars
- 3469
- 最近更新
- 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.
- 安装量
- 1
- GitHub Stars
- 3469
- 最近更新
- 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.
- 安装量
- 1
- GitHub Stars
- 3469
- 最近更新
- 9月25日
nvidiai4h-workflow-train-rl
Use when training, evaluating, or exporting Workflow policies with online RSL-RL or RLinf, including RL checkpoint and Workflow handoff.
- 安装量
- 1
- GitHub Stars
- 3469
- 最近更新
- 9月25日
nvidiai4h-workflow-validate
Run the root-level workflow runtime policy or rule-based rollouts and verify simulator success. Use for evaluation, checkpoints, or local controllers; do not use for replay or dataset annotation.
- 安装量
- 1
- GitHub Stars
- 3469
- 最近更新
- 9月25日
nvidiaisaac-mission-control-showcase
Run and validate an end-to-end Mission Control showcase with a locally installed Isaac Sim launched in its GUI window, driven through the isaac-sim-remote Python server, with Nova Carter SIL. Use for demos, showcase replays, Mission Control driving a simulated robot, or diagnosing the integrated small-warehouse scenario. Detect existing Isaac Sim installations without modifying them, automatically select a usable runtime without prompting whenever compatibility can be confirmed, and delegate req
- 安装量
- 1
- GitHub Stars
- 3469
- 最近更新
- 9月25日
nvidiajetson-customize-clocks
Use to lock/cap Jetson CPU/GPU/EMC clocks, toggle EMC/CPU DVFS, or change cpufreq governors by editing BPMP DTB and nvpower.sh pre-flash. Do NOT use for live tuning or nvpmodel edits.
- 安装量
- 1
- GitHub Stars
- 3525
- 最近更新
- 10月2日
nvidiajetson-customize-pcie
- Per-controller PCIe enable / disable / lanes / link-speed for a Jetson Thor or Orin custom carrier via ODMDATA + kernel-DT overlay. Do NOT use for UPHY lane allocation or endpoint-mode bring-up.
- 安装量
- 1
- GitHub Stars
- 3358
- 最近更新
- 9月19日