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 when a concrete ./holohub command fails, hangs, regresses, or returns wrong output and needs reproducible diagnosis and verification.
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。
Turn one concrete wrapper failure into a minimally fixed, reproducible passing command with focused regression proof.
Require:
./holohub
command;Route non-failing app development to holohub-app-lifecycle, non-failing
Module work to holohub-module-lifecycle, and first-time SDK installation to
holoscan-setup. If the matching skill is unavailable, preserve the handoff
context and name the skill to install. Do not manufacture a failure.
The affected checkout's AGENTS.md, local help, exact reproduction, schemas,
and source are the live technical authority where they do not conflict with
user, system, or safety constraints.
If the request is planning-only or forbids execution, do not begin the steps below. Return only the proposed diagnostic order, evidence, approval boundaries, and proof requirements; do not run commands or change files, caches, artifacts, privileges, or environments.
version --json, env-info --json, relevant env-check --json,
and status --json, reviewing sensitive values before sharing.clear-cache or test --clear-cache, review
the resolved affected paths and obtain explicit user authorization before
reproduction; receiving a failing-command report is not approval for cache
cleanup. For a hang, preserve
all effect-bearing arguments but enforce an external timeout derived from
the recorded hang boundary; record the deadline, termination signal, exit
status, and whether child wrapper or container processes remain. If it no
longer reproduces, compare revision, state, inputs, image, cache,
display/devices, and environment, then report the mismatch rather than
inventing a fix.clear-cache scope, review every resolved
path, and obtain explicit user approval before clearing those paths.test <module> is not module-scoped. Run
git diff --check.If the failure does not reproduce, report the state mismatch. If it belongs to a non-failing app or Module workflow, preserve the reproduction context and route it to the matching lifecycle skill.
holohub-app-lifecycle.sudo ./holohub. Obtain approval for host packages, host-local
execution, root containers, devices/capabilities, debugger attachment, core
dumps, or permission changes.Return the exact reproduction, environment and revision, primary layer, root cause, useful rejected hypotheses, minimal fix, passing proof, focused tests and artifacts, remaining uncertainty, and final worktree state.
For a planning-only request, return the proposed diagnostic order, evidence, approval boundaries, and proof requirements without claiming execution.
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。