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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Switch the active Jetson target-platform pointer to an existing profile YAML. Use before customize/build/flash to change target; not for authoring profiles — use jetson-init-target instead.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
This skill is the switcher side of the target-platform contract in
../../context/target-platform-contract.md. It only
edits target-platform/active_target.yml; it never authors a new
profile YAML. To author a new profile, use the sibling skill
jetson-init-target.
Single output: target-platform/active_target.yml updated to point at
the user's chosen existing profile.
target-platform/ already contains one or more profile YAMLs.If target-platform/ is missing, empty, or contains only
active_target.yml, stop and tell the user to run jetson-init-target
first.
target-platform/active_target.yml (treat a missing file as
active: NA for the purposes of this skill — the file will be
created in the "Update the active pointer" step if needed, preserving the template header).target-platform/*.yaml, excluding active_target.yml
itself.| Situation | Action |
|---|---|
| No profile YAMLs exist | Refuse. Tell the user to run jetson-init-target to author one. |
| Exactly one profile, already active | Tell the user it is already active; no change needed. Stop. |
| Exactly one profile, not active | Confirm with the user, then jump to the "Update the active pointer" step with that profile selected. |
| Multiple profiles | Proceed to the "Show the list" step. |
Print the profiles in alphabetical order, numbered. Mark the current
active selection with (active) so the user knows what they're
switching from. For each profile, parse its YAML and show a one-line
summary so the user can identify it without opening files: the
reference_devkit.name (or custom_carrier.name if present) plus the
flash_config.
Sample shape:
Profiles in target-platform/:
1) acme-vision-x1.yaml — Acme Vision X1 (custom carrier on AGX Thor T5000) — acme-vision-x1.conf
2) jetson-agx-orin-32gb.yaml — Jetson AGX Orin 32GB — jetson-agx-orin-devkit.conf
3) jetson-agx-thor-devkit.yaml — Jetson AGX Thor T5000 — jetson-agx-thor-devkit.conf (active)
4) jetson-orin-nano-8gb.yaml — Jetson Orin Nano 8GB — jetson-orin-nano-devkit.conf
If a profile YAML fails to parse or is missing the expected fields,
show the bare filename with a (unparseable — fix or remove) marker
and skip to the next; do not refuse the whole skill over one bad file.
Prompt:
Pick a number, the bare filename, the product name (substring match), or
cancel.
Resolve to a single profile filename. If the user picks the currently active profile, tell them so and stop without rewriting the pointer. If ambiguous, list candidates and ask again.
Edit target-platform/active_target.yml:
active: <chosen-filename>.yaml.active: line.target-platform/ without the bootstrap step), create it from
../../references/active_target_template.yaml
and then set active:.Print a summary: the previous active value, the new active value, the
chosen profile's reference_devkit.name (and custom_carrier.name if
present), and a reminder that downstream skills (jetson-customize-clocks,
jetson-customize-nvpmodel, jetson-customize-fan,
jetson-optimize-memory) will now resolve to this target.
If a downstream skill triggered this run, tell the user to re-issue their original request; do not silently re-trigger it.
target-platform/ exists and contains at least one *.yaml profile
(excluding active_target.yml).target-platform/active_target.yml is present, or the template at
../../references/active_target_template.yaml is available so this
skill can recreate the pointer.active: line in active_target.yml; never writes
profile YAMLs.jetson-init-target instead.*.yaml other than the pointer; run /jetson-init-target first.active_target.yml back to a valid filename or rerun with the right
selection.NA — legitimate "no selection" state; pick
any listed profile and the pointer will be set.jetson-init-target. Do
not silently fall through to authoring.active_target.yml to point at a missing profile.
Verify the chosen filename exists in target-platform/ before
writing.active_target.yml's comment block when editing —
only the active: line should change.active_target.yml from the profile list. It lives in
the same directory but is the pointer, not a profile.active: NA is the legitimate "no selection" state. Treat it
the same as a fresh pointer — don't refuse, just show the list and
let the user pick.../../context/target-platform-contract.md — the contract this skill writes to.../../references/active_target_template.yaml — schema starter for the active-target pointer (used to recreate it if the file is missing).../jetson-init-target/SKILL.md — sibling skill: author a new profile YAML.아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.
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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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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.
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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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.