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.
中文简介正在准备中。当前显示原文说明。
Route open-ended NVFLARE advice and only conversion requests whose preliminary source inspection reports unresolved or conflicting ownership; never load this skill merely to inspect a concrete conversion request before selecting its detected framework converter.
中文简介正在准备中。当前显示原文说明。
查看安装方法安装前可以查看交给 AI 代理的指令内容。
Use when the user asks where to start with NVFLARE, how a local project maps to FLARE workflows, or which FLARE skill should handle an ambiguous request. For a concrete conversion request, use only after preliminary source inspection explicitly reports unresolved ownership or conflicting active training owners that require a user choice.
Do not use when the user already names a specific workflow such as PyTorch
conversion, federated statistics, job submission, production deployment,
Kubernetes setup, log diagnosis, or optimization of an existing FLARE job.
Route to the narrower skill instead. Do not load orientation to perform the
preliminary inspection for a concrete conversion request: run nvflare agent inspect source <path> --format json first, then route directly to the one
detected converter. Continue to use orientation for an inspector-reported
ownership conflict or unresolved Trainer factory, which requires the read-only
choice described above.
nvflare agent inspect source <path> --format json for project or job
evidence, or nvflare agent inspect data <path> --format json for data and
statistics requests. If data inspection returns dataset: null, run source
inspection on the same target. Use its ownership, integration, scan,
routing, or dataset evidence as applicable.Load references/orientation-routing.md when routing is ambiguous or when the
inspect output names multiple possible workflow families.
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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.
中文简介正在准备中。当前显示原文说明。
Customize NVIDIA Nemotron Voice Agent's Generic Pipecat example for healthcare appointment, five-field patient intake, or custom tool-calling workflows without a separate backend.
中文简介正在准备中。当前显示原文说明。
Calibrate a new dataset from live RTSP camera streams via the AutoMagicCalib REST API. Use when the user provides RTSP URLs or asks to calibrate live cameras; VIOS records clips, AMC ingests them, then runs calibration.
中文简介正在准备中。当前显示原文说明。
Run end-to-end calibration on the shipped sample dataset (sdg_08_2_sample_data_010926.zip) against a running AMC microservice. Use when user says 'test sample dataset', 'run sample calibration', 'verify AMC install', or 'launch and test'.
中文简介正在准备中。当前显示原文说明。
Calibrates pre-recorded `cam_*.mp4` datasets through the AutoMagicCalib REST API. Use for user-supplied local MP4s; route live RTSP streams to `amc-run-rtsp-calibration`.
中文简介正在准备中。当前显示原文说明。
Launch AutoMagicCalib microservice and web UI from NGC release images via Docker Compose. Use when user says 'deploy auto calibration', 'launch auto calibration', 'launch AMC', 'start MS+UI', or 'set up auto-magic-calib'. Requires NGC API key.
中文简介正在准备中。当前显示原文说明。