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.
Build a per-target knowledge-base markdown next to the active profile by walking the BSP root and source tree. Use after init-image / init-source; not for editing profile fields.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
This skill produces a per-profile markdown reference at
target-platform/<profile-stem>.md (sibling to the profile YAML). It
bundles three things into one file so a future Claude session — or the
user — can see the shape of the active target without re-walking the
filesystem:
bsp_image.root_path, presence of canonical subtrees (rootfs/,
bootloader/, source/, …), and the nvpmodel variants matching
the active module SKU.source.root_path (kernel-jammy-src/, hardware/nvidia/,
nvidia-oot/, etc.) and devicetree files matching the chip family.documents.* references recorded in the
profile, with local-path existence checks and one-line descriptions.The KB is a snapshot, dated in its header. Re-run this skill whenever the underlying data changes — it is intentionally re-runnable and overwrites the previous KB on each run.
jetson-init-image prepares the BSP for a freshly authored
profile.bsp_image.root_path.source.root_path.bsp_image.* or documents.* in the profile YAML.Resolve the active profile per the contract in
../../context/target-platform-contract.md;
cache it in memory — the rest of the skill consumes only this
profile. Record <profile-stem> (the bare filename minus .yaml)
as the KB output filename stem.
| Field | Required for KB? | If missing |
|---|---|---|
bsp_image.root_path | yes | Refuse. A KB with no BSP root to scan is just a YAML restatement; tell the user to run jetson-init-image or hand-edit the profile. |
source.root_path | no | Skip the source-tree section; note "source_root not recorded" in the KB. |
documents.* | no | Render an empty Documents table with a "no documents recorded" note. |
If bsp_image.root_path is set but the directory does not exist on disk,
refuse with a clear message — do not fabricate a layout for a path
that isn't there.
bsp_image.root_path)Run only the following cheap operations — no recursive scans, no file content reads beyond directory listings:
ls -1 of bsp_image.root_path (one level deep). Record which
directories are present.rootfs/, bootloader/, kernel/, source/, tools/,
nv_tegra/.flash_config file exists at
<bsp_image.root_path>/<flash_config>. Record its path or
(missing).rootfs/etc/nvpmodel/ and filter to filenames matching
nvpmodel_<module.id>_<module.sku>*.conf. Record each match.
Use the lower-case module id (e.g. p3767) and the YAML-quoted
sku string (e.g. 0001).source.root_path)Skip this step entirely if source.root_path is NA or missing.
Otherwise, run only:
ls -1 of source.root_path (one level deep).kernel-jammy-src/, hardware/nvidia/, nvidia-oot/, nvgpu/,
nvethernetrm/, nvdisplay/, hwpm/, kernel-devicetree/.kernel-devicetree/generic-dts/dts/ exists, list filenames
matching tegra<chip>* where <chip> is the chip-family numeric
prefix (see chip-family map below). Record up to 30 hits; if more,
record the count and a "showing first 30" note.Derive <chip> from module.id:
module.id | Chip family | <chip> prefix |
|---|---|---|
p3701, p3767 | T234 — Orin | 234 |
p3834 | T264 — Thor | 264 |
If module.id is not in this table, record the chip as
unknown (module.id=<value>) and skip the chip-prefixed devicetree
filter.
For each field in documents.* from the loaded profile:
http://, https://,
or ftp://) or local path (anything else).os.path.exists. Record the path; if
missing on disk, append (missing).The one-line description for each field comes from the marker in
../../references/platform_template.yaml
— strip the <OPTIONAL: …> wrapper and use the inner text.
If the profile has no documents: block, render the section with a
single line: _No documents recorded — run jetson-link-docs or hand-edit the profile to add references._
Render the markdown using the structure below. Use today's date (YYYY-MM-DD) in the header. Always overwrite any existing KB file at the destination — do not prompt before overwriting; re-runs are the intended use.
Destination: target-platform/<profile-stem>.md.
# Target knowledge base — <profile-stem>
> Generated <YYYY-MM-DD> from `<bsp_image.root_path>` (BSP version `<bsp_image.version>`).
> Re-run `jetson-generate-kb` after extracting a new BSP, applying
> patches, or editing profile fields. This file is a regenerated
> snapshot — do not hand-edit.
## Profile facts
- **Reference devkit:** `<reference_devkit.name>`
- **Module:** `<module.id>-<module.sku>` (`<chip family label>`)
- **Reference carrier:** `<carrier.id>-<carrier.sku>`
- **Custom carrier:** `<custom_carrier.name>` (`<custom_carrier.id>-<custom_carrier.sku>`) _← omit this row if Case 1_
- **Active flash conf:** `<flash_config>`
- **BSP path:** `<bsp_image.root_path>`
- **BSP version:** `<bsp_image.version>`
- **Source root:** `<source.root_path>` _← or "_not recorded_" if NA_
## BSP image layout
Top-level directories under `<bsp_image.root_path>`:
| Directory | Present | Purpose |
|---|---|---|
| `rootfs/` | ✓ / ✗ | userspace rootfs (nvpmodel, nvfan, systemd units, etc.) |
| `bootloader/` | ✓ / ✗ | firmware blobs, BCT, MB1/MB2 dts |
| `kernel/` | ✓ / ✗ | prebuilt kernel + modules |
| `source/` | ✓ / ✗ | BSP source tree (kernel, OOT drivers, DT) |
| `tools/` | ✓ / ✗ | flashing helpers, jetson-io, kernel_flash |
| `nv_tegra/` | ✓ / ✗ | nvidia firmware tarballs, kernel-supplements |
Active flash conf `<flash_config>`: present at
`<bsp_image.root_path>/<flash_config>` _or_ `(missing — verify before flashing)`.
### nvpmodel files matching the active SKU
Filtered from `rootfs/etc/nvpmodel/` by `nvpmodel_<module.id>_<module.sku>*.conf`:
- `<each match, one per line>`
The active variant at boot is selected by `nvpower.sh` from
`/proc/device-tree/compatible` plus super / safety state — see
`jetson-customize-nvpmodel` for the resolution rules.
## Source tree layout
(omit this whole section if `source.root_path` is `NA`/missing)
Top-level subtrees under `<source.root_path>`:
| Subtree | Present | Purpose |
|---|---|---|
| `kernel-jammy-src/` | ✓ / ✗ | mainline 5.x kernel sources |
| `hardware/nvidia/` | ✓ / ✗ | NVIDIA platform DTs (per chip family) |
| `nvidia-oot/` | ✓ / ✗ | NVIDIA out-of-tree kernel modules |
| `nvgpu/` | ✓ / ✗ | GPU driver |
| `nvethernetrm/` | ✓ / ✗ | ethernet driver |
| `nvdisplay/` | ✓ / ✗ | display driver |
| `hwpm/` | ✓ / ✗ | hardware performance monitor |
| `kernel-devicetree/` | ✓ / ✗ | devicetree sources |
### Devicetree files for chip family `<chip>`
(omit if `kernel-devicetree/generic-dts/dts/` is absent)
Files matching `tegra<chip>*` under `kernel-devicetree/generic-dts/dts/`:
- `<each match, one per line — cap at 30, then a "first 30 of N" note>`
## Documents
| Field | Reference |
|---|---|
| Documents root folder | `<doc_root>` _or_ _not recorded_ |
| BSP / Jetson Linux developer guide | `<bsp_developer_guide>` _or_ _not recorded_ |
| Tegra SoC Technical Reference Manual | `<soc_tech_ref_manual>` _or_ _not recorded_ |
| Jetson module data sheet | `<module_data_sheet>` _or_ _not recorded_ |
| Jetson module design guide (PDG) | `<module_design_guide>` _or_ _not recorded_ |
| Jetson module thermal design guide (TDG) | `<module_thermal_design_guide>` _or_ _not recorded_ |
| Jetson module schematic | `<module_schematic>` _or_ _not recorded_ |
| Reference carrier board specification | `<carrier_board_spec>` _or_ _not recorded_ |
| Reference carrier schematic | `<carrier_schematic>` _or_ _not recorded_ |
| Custom carrier schematic | `<custom_carrier_schematic>` _or_ _not recorded / N/A (no custom carrier)_ |
| Reference-devkit pinmux spreadsheet | `<ref_devkit_pinmux_xls>` _or_ _not recorded_ |
| Custom-carrier pinmux spreadsheet | `<custom_carrier_pinmux_xls>` _or_ _not recorded / N/A (no custom carrier)_ |
(Local paths are tagged ` (missing)` if absent on disk. URLs are
recorded verbatim and not fetched. If `doc_root` is set, also tag
` (missing)` on it if the directory itself is gone — that signals
auto-mapping in `jetson-link-docs` won't work on a re-run.)
## How to refresh this file
Re-run `jetson-generate-kb` whenever any of the following changes:
- the BSP at `<bsp_image.root_path>` is re-extracted, patched, or upgraded,
- the source tree at `<source.root_path>` changes,
- the active profile's `bsp_image.*` or `documents.*` fields are edited.
This file is overwritten on every run. Do not hand-edit it — edit the
source data (profile YAML or the BSP tree) and re-run instead.
Print a short summary:
target-platform/<profile-stem>.md.(missing).If a downstream skill triggered this run, tell the user to re-issue their original request.
target-platform/<profile-stem>.md. This is intentional —
re-runnability is the whole point. Tell the user not to hand-edit
the file; edit profile YAML or the BSP and regenerate.bsp_image.root_path = NA. A profile with no BSP path
produces a content-free KB. Do not write one — instead, point the
user at the profile YAML to fill in.target-platform/<stem>.md next to <stem>.yaml. Don't accidentally
read .md files in the profile-listing logic of
jetson-set-target (it already filters to *.yaml, but check
before adding new file types).chip: unknown rather than fabricate a <chip> prefix.
Update this skill's chip-family table when a new chip lands.../../context/target-platform-contract.md.bsp_image: recorded by /jetson-init-image; this is the only
required on-disk tree. If source.root_path is missing, render the KB
without the source-tree section./jetson-init-source already resolved source: when the
user wants source-tree discovery included./jetson-link-docs already wrote the
documents: block.chip: unknown
rather than a fabricated prefix.target-platform/<stem>.md to stay next
to the profile YAML; renaming the YAML invalidates the link.bsp_image.root_path not found — re-run /jetson-init-image so
the BSP is extracted and the path is recorded before regenerating
the KB.source.root_path
override is stale; rerun /jetson-init-source or correct the
profile field.documents: block missing from the KB — /jetson-link-docs was
never run; the KB falls back to "no documents bound" rather than
guessing paths.../../context/target-platform-contract.md — read-order contract this skill follows.../../context/bsp-customization-workflow.md — origin of the canonical BSP/source subtree list.../../references/platform_template.yaml — source of the documents-field one-line descriptions.../jetson-init-target/SKILL.md — sibling skill that authors the active target identity.../jetson-init-image/SKILL.md — sibling skill that authors the BSP image metadata this skill scans.../jetson-set-target/SKILL.md — sibling skill that flips the active pointer this skill resolves.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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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'.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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`.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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.