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。
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.
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。
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.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。