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.
日本語の概要は準備中です。原文の説明を表示しています。
Use for reusable Holoscan Module work with ./holohub: scaffold, tests, editable install, DEB/WHEEL packaging, and clean-consumer proof.
インストール方法を見るインストールする前に、エージェントに与えられる指示の中身を確認できます。
Take a reusable Holoscan Module from layout and API contract through producer, consumer, and clean artifact-install proof.
Require the API contract, checkout, layout, identities, SDK floor, license, maintainer, package formats, and acceptance checks from the request or an authoritative repository source. If consequential release metadata remains unknown, stop before scaffolding or packaging rather than guessing.
Route an ordinary app to holohub-app-lifecycle and a concrete failing or
wrong ./holohub command to holohub-debug-build-run. If the matching skill
is unavailable, preserve the handoff context and name the skill to install
instead of broadening this workflow.
The selected checkout's AGENTS.md, local help, module guidance, schemas,
templates, tutorials, and nearby examples are the live technical authority
where they do not conflict with user, system, or safety constraints.
At any step, a failing effect-bearing wrapper command ends this happy path; follow Troubleshooting with its exact context. Parse read-only diagnostic results and stop only when a failed capability is required by the module, consumer, packaging environment, or requested proof.
holoscan-<name> repository for
independent release or an in-tree descriptor under modules/ for code
maintained with HoloHub.snake_case
module/namespace, holoscan-<kebab-case> repository/package, and
snake_case_op operator slug consistent.test <module> is not module-scoped. In a generated repository, combine its
repository-wide test with focused pytest or CTest targets.env-info --json. Record the hook and remove it even if a later step fails;
if removal fails, report the exact environment and hook state.git diff --check, and final status. In a dirty checkout, restrict
auto-fixing lint to task paths; before a requested commit, validate the
exact candidate change with the repository-required full lint in a clean
disposable checkout. Confirm no generated artifacts or editable hooks are
staged. Do not commit, push, upload, publish, or release unless requested.If a wrapper command fails, stop the happy path and hand off its exact command,
revision, dirty state, inputs, and observed result to
holohub-debug-build-run.
sudo ./holohub; obtain approval for host packages, host-local
execution, root containers, devices/capabilities, or permission changes.Return layout and identities, public API/demo, metadata and registrations, preview and real command results, honest test scope, consumer proof, artifact identity/contents/install results, licensing and publication limits, and final worktree state.
For a planning-only request, return the proposed order, authoritative metadata sources, approval boundaries, and proof requirements without claiming results.
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
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.
日本語の概要は準備中です。原文の説明を表示しています。
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.
日本語の概要は準備中です。原文の説明を表示しています。
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.
日本語の概要は準備中です。原文の説明を表示しています。
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'.
日本語の概要は準備中です。原文の説明を表示しています。
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`.
日本語の概要は準備中です。原文の説明を表示しています。
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.
日本語の概要は準備中です。原文の説明を表示しています。