云、CI/CD、监控、部署（6823 个）
Launch, monitor, stop, and troubleshoot NeMo-RL training jobs on Kubernetes using nrl-k8s. Choose a temporary cluster for a single run or reuse a persistent cluster while adjusting training settings and investigating failures.
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Start Jetson or IGX board software customization by selecting a setup mode, platform, release, and carrier-board intent in a questionnaire. It passes those choices to the appropriate setup skills and reports workspace readiness and remaining steps.
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Customize Jetson and Tegra power modes in BSP files, the device's system software configuration. Adds, removes, or edits nvpmodel profiles, adjusts frequency limits, changes the boot default, and guides deployment of the updated configuration.
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Inspect a Jetson BSP folder on a Linux host before flashing. Get a concise report of the L4T release, available board configuration files, and whether the root filesystem appears populated, without modifying files.
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Manage nvfancontrol fan profiles for Jetson and Tegra boards. Add, remove, or edit temperature-based fan curves and boot defaults in board support files, while tracking changes and preserving configuration differences between related carrier boards.
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Switch the active Jetson target to an existing YAML profile before customization, building, or flashing. Review profile names and configuration summaries, choose a target, and update the pointer used by downstream skills without creating new profiles.
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Set up a NVIDIA Holoscan Sensor Bridge demo for the selected development kit. The workflow configures the host, builds and launches the demo container, checks board connectivity and FPGA version, and reports issues encountered.
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Set up Earth2Studio with uv or pip using commands matched to your environment and planned models. The skill guides optional dependency selection, cache configuration, installation checks, and dependency troubleshooting while leaving package installation to the user.
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Load, configure, run, observe, and stop custom congestion control algorithms on BlueField using doca_spcx_cc. The skill guides comparisons with doca-pcc, evaluation under controlled network contention, and diagnosis of loading errors or unchanged traffic behavior.
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Select an existing NVIDIA Dynamo Kubernetes deployment recipe for a model, inference framework, and GPU setup. The skill validates requirements, patches necessary settings, deploys the recipe, and checks the endpoint with an OpenAI-compatible test request.
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Diagnose failed Dynamo deployments using Kubernetes status, events, and logs. Gather evidence without changing the cluster, identify the likely failure layer, and return a specific command or patch to try next.
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Investigate missing DOCA telemetry metrics with doca_telemetry_utils. Discover diagnostic counters, translate counter names to Data IDs and back, and check device support before adding counters to an exporter configuration.
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Configure how Dynamo routes requests to workers, then check model discovery and a chat response. Supports local and Kubernetes setups, including routing based on cached model data, with clear commands, results, and limitations.
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Check whether a Dynamo deployment is ready for disaggregated serving, where input processing and token generation run separately. Read-only probes inspect transport settings, GPU networking capabilities, and NIXL transfer-test readiness, then report gaps and next steps.
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Assess a Linux host and choose an installation method for Holoscan SDK 5.x. Compare containers, Debian packages, Python wheels, and source builds against available releases, CUDA 13 compatibility, and the components needed.
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Set up or repair the FoundationPose perception pipeline and build FoundationStereo TensorRT engines for depth estimation. It checks system requirements, resolves dependency and CUDA library issues, and verifies engines against the intended scene dimensions.
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Install a Holoscan SDK 5.x CUDA 13 development container after checking the exact release and host compatibility. Verify GPU access, run installed examples, and check the SDK version and Python API.
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Consolidate DOCA installation details, device capabilities, and host versus DPU differences into a consistent report. The skill defines structured output formats and manual fallback checks, including how to report unavailable tools and validation limits.
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Install Holoscan SDK 5.x C++ packages on Ubuntu 24.04, choosing the full SDK or selected modules. Check release availability, hardware requirements, and dependency changes, then verify installed examples and a small CMake build.
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Check installed DOCA versions across package metadata, application files, runtime tools, and BlueField system information. Use the results to investigate build and runtime mismatches, check feature availability, and understand NGC container version tags.
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Upgrade or downgrade FPGA firmware on supported HSB Lattice boards and Leopard Imaging VB1940 cameras connected to an NVIDIA devkit. Identifies the hardware, selects version-specific files and commands, and verifies the installed version after flashing.
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Plan DOCA upgrades, downgrades, and rollbacks by checking installed versions and reporting the gap to a target release. Guide changes after explicit confirmation, and diagnose interrupted upgrades or mismatches between host and BlueField versions.
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Deploy and operate the DOCA UROM Service container on BlueField Arm. Configure communication settings, check host pairing and version compatibility, and investigate slow or incomplete remote memory operations submitted by the host.
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Deploy and troubleshoot a CollectX telemetry collector on a host or BlueField. Connect sources of device metrics, configure outputs such as Prometheus or Fluent Bit, and verify that collected measurements reach their downstream destination.
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