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.
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Discover and run Holoscan Sensor Bridge example applications on a connected devkit. Filters available apps by the user's platform, HSB software version, board type, and sensors. Supports timed execution, failure analysis, code-edit suggestions, and iterative re-runs.
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查看安装方法安装前可以查看交给 AI 代理的指令内容。
Use this skill when the user wants to discover, select, and run Holoscan Sensor Bridge example applications on a devkit with a connected HSB board.
This skill assumes the devkit is already set up (SSH, demo container built, host configured, board connected). If setup is not complete, instruct the user to run /hsb-setup first.
This workflow runs applications inside the demo container. Only run it when the user explicitly invokes it.
Gate 1 — Read environment variables. Before doing anything else, check these variables and print their resolved values to the user:
SSH_TARGET Remote devkit login (e.g. nvidia@192.168.1.50). Ask the user if not set.
REMOTE_ROOT Remote working directory (e.g. /home/nvidia). Ask the user if not set.
REMOTE_SUDO sudo / sudo -n / "" — default to "sudo" if not set.
REMOTE_SSH_OPTS Additional SSH options (optional).
HSB_PLATFORM Platform hint (optional).
SSH_TARGET and REMOTE_ROOT are required. Stop and ask the user for them if either is missing.
Gate 2 — Present the phase plan and get confirmation. Before taking any action:
If the user's request already includes platform, board type, and sensors, also state upfront:
examples/ and filter apps by the user's sensor type and platform--headless automatically — only if the user explicitly requests itdocker run, using python3 for Python-based examplesShow the phase plan:
HSB App — Phase Plan
Phase 0: Verify board connectivity and demo container readiness
Phase 1: Discover user setup and select application to run
Phase 2: Run application with monitoring, failure analysis, and iterative debugging
Phase 3: Generate session report (with option to save)
Then ask explicitly: Shall I proceed with Phase 0? [Y/n] — do not start Phase 0 until the user confirms.
Gate 3 — Fast path check. After the user confirms in Gate 2, run this check before executing any Phase 0 commands:
ssh -o BatchMode=yes $REMOTE_SSH_OPTS $SSH_TARGET \
"grep _SESSION_VERIFIED /tmp/.claude_hsb_app_session/state.sh 2>/dev/null || echo 'no session'"
If the output contains _SESSION_VERIFIED=true, skip Phase 0 and Phase 1 setup discovery — go directly to app selection and inform the user.
examples/ directory to build a list of applications compatible with the user's setup. Present the list and let the user choose an app to run.Reuse the same environment variables from the hsb-setup and hsb-flash skills:
SSH_TARGET for the remote login target (e.g. nvidia@agx-thor-host)REMOTE_ROOT for the remote working directoryREMOTE_SUDO for privileged commandsREMOTE_SSH_OPTS for additional SSH optionsHSB_PLATFORM as an optional platform hintIf these are set, notify the user of these settings and use them without re-asking.
Before Phase 0, print the resolved remote execution settings.
When no valid session state exists, show the full phase plan:
Then execute one phase at a time.
When the session state file (/tmp/.claude_hsb_app_session/state.sh) exists and contains _SESSION_VERIFIED=true, the skill skips Phase 0 and Phase 1 setup discovery because connectivity and hardware were already verified. Instead, inform the user and jump directly to app selection:
Session already verified — skipping connectivity checks.
SSH target: $SSH_TARGET
Board: HSB Lattice | FPGA: XXXX
Platform: AGX Thor | HSB version: X.X.X
Sensors: Dual IMX274
Proceeding directly to application selection.
Then execute:
Phase 0 must be re-run (ignoring the fast path) when:
No such device errors), clear _SESSION_VERIFIED from the session state and re-run Phase 0 before retrying./hsb-app --full, run Phase 0 from scratch.See ## Phase gate below for the full confirmation protocol.
If something fails, do not just dump raw logs. Summarize:
See references/phase-details.md for full step-by-step phase instructions.
Use the same persistent SSH session model as hsb-setup and hsb-flash. Each phase runs as a single SSH heredoc block:
ssh -o BatchMode=yes $REMOTE_SSH_OPTS $SSH_TARGET bash -s <<'REMOTE'
set -e
# restore state from previous phase
source /tmp/.claude_hsb_app_session/state.sh 2>/dev/null || true
cd "${_CLAUDE_CWD:-__REMOTE_ROOT__}"
# phase commands
echo "=== Phase N: description ==="
command1
command2
# save state for next phase (preserves _SESSION_VERIFIED if already set)
_PREV_VERIFIED="${_SESSION_VERIFIED:-}"
mkdir -p /tmp/.claude_hsb_app_session
{
echo "export _CLAUDE_CWD=\"$(pwd)\""
echo "export PATH=\"$PATH\""
echo "export REPO_DIR=\"$REPO_DIR\""
echo "export VERSION=\"$VERSION\""
echo "export HSB_PLATFORM=\"$HSB_PLATFORM\""
echo "export BOARD_TYPE=\"$BOARD_TYPE\""
echo "export SENSORS=\"$SENSORS\""
echo "export FPGA_VERSION=\"$FPGA_VERSION\""
echo "export SELECTED_APP=\"$SELECTED_APP\""
echo "export APP_OPTIONS=\"$APP_OPTIONS\""
echo "export APP_TIMEOUT=\"$APP_TIMEOUT\""
[ "$_PREV_VERIFIED" = "true" ] && echo "export _SESSION_VERIFIED=true"
} > /tmp/.claude_hsb_app_session/state.sh
REMOTE
Replace __REMOTE_ROOT__ with the literal value of $REMOTE_ROOT when composing the heredoc.
Application commands run inside the demo container. Use the detached pattern with a named container.
For apps with --timeout, use the watchdog pattern. For indefinite-run apps, stream logs and wait for the user to request a stop.
After every app run, stop and remove the container. See references/phase-details.md for the cleanup pattern.
After Phase 3 (or on any failure that stops the workflow):
docker ps --filter "name=hsb_app_" --format '{{.Names}}' | xargs -r docker stop -t 2 2>/dev/null || true
ssh -o BatchMode=yes $REMOTE_SSH_OPTS $SSH_TARGET "rm -rf /tmp/.claude_hsb_app_session"
After completing each phase (Phases 0–2), always prompt the user for confirmation before starting the next phase.
Exception: When --y (auto-approve mode) is active, phase gates are skipped. See "Auto-approve mode (--y)" section.
Proceed to Phase <N+1> (<phase description>)? [Y/n]
All prompts in this skill require explicit typed responses. Never treat a blank or Enter-only input as a selection — re-prompt the user instead.
App workflow paused after Phase N.
You can resume by re-invoking the skill.
Then run session teardown.--help)If $ARGUMENTS contains --help or -h, print the following and stop:
HSB Application Runner Skill
USAGE
/hsb-app [OPTIONS]
OPTIONS
--help, -h Show this help message and exit
--verbose Show full raw command output for every phase
--y Auto-approve all phase gates (skip user confirmation
between phases). Not recommended — a confirmation
warning is shown before proceeding. All output is
saved to a timestamped log file.
--timeout N Set app runtime in seconds (default: no timeout,
app runs until user asks to stop)
--full Force full verification from Phase 0, even if the
session was already verified
ENVIRONMENT VARIABLES (set before invoking the skill)
SSH_TARGET Remote login target (e.g. ubuntu@10.0.0.1)
REMOTE_ROOT Remote working directory
REMOTE_SUDO Privilege escalation: 'sudo', 'sudo -n', or ''
REMOTE_SSH_OPTS Additional SSH options
HSB_PLATFORM Platform hint
HSB_REPO_DIR Repo directory name under REMOTE_ROOT (default: holoscan-sensor-bridge)
Example: HSB_REPO_DIR=hololink → repo at $REMOTE_ROOT/hololink
WORKFLOW PHASES
Phase 0 Verify board connectivity and demo container readiness
(skipped on repeat runs in the same session)
Phase 1 Discover user setup, scan examples, select application
(setup discovery skipped on repeat runs)
Phase 2 Run application with monitoring and iterative debugging
Phase 3 Generate and optionally save session report
EXAMPLES
/hsb-app
/hsb-app --verbose
/hsb-app --timeout 60
/hsb-app --timeout 30 --verbose
/hsb-app --y
/hsb-app --y --timeout 120
/hsb-app --full
/hsb-app --help
/hsb-app/hsb-app --verbose/hsb-app --timeout 60/hsb-app --timeout 30 --verbose/hsb-app --y/hsb-app --y --timeout 120/hsb-app --full/hsb-app --full --verbose/hsb-app --help--verbose)The skill supports a --verbose flag:
Check whether $ARGUMENTS (the text after the slash command) contains any of: --help / -h, --verbose, --y, --timeout N, or --full (case-insensitive). Strip all flags (and their values) from arguments before further parsing.
When --full is present, ignore any cached session state and run Phase 0 from scratch.
--verbose)--y)The skill supports a --y flag that skips all phase gates and runs the entire workflow from start to finish without waiting for user confirmation between phases. This is not recommended for normal use.
When --y is detected, display a warning and ask the user to confirm:
⚠ WARNING: Auto-approve mode (--y) is enabled.
This is NOT RECOMMENDED. All phase gates will be skipped and the entire
workflow will run without pausing for your confirmation between phases.
You will not be able to review intermediate results, ask questions, or
abort between phases. All output will be saved to a timestamped log file.
NOTE: In auto-approve mode, the app selection in Phase 1 will still
require your input (you must choose which app to run), but the app will
run with default settings automatically. Debug iterations in Phase 2
will be skipped — the app runs once and the result is reported.
Type 'yes' to confirm auto-approve mode, or anything else to cancel:
--y is active--timeout was specified on the command line (to avoid indefinite hangs).hsb-app-log-YYYY-MM-DD-HHMMSS.md in $REMOTE_ROOT/ or current directory.--y --verbose: Auto-approve with full raw output.--y --timeout N: Auto-approve with a fixed app runtime.--y alone: Auto-approve with concise output and no timeout (app runs for a default 30 seconds in auto-approve mode to avoid indefinite hangs).--timeout)The skill supports a --timeout N flag where N is the number of seconds to run the application.
Match --timeout followed by a whitespace-separated integer in $ARGUMENTS. Example: --timeout 60.
docker stop. The output collected during that window is shown to the user.还没有评价。欢迎分享你的使用感受。
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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'.
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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`.
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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。