Enable/disable Jetson USB2/USB3 SS ports via kernel-DT overlay.
$ npx skills add NVIDIA/skills --skill jetson-customize-usb -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install NVIDIA/skills jetson-customize-usb --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/jetson-customize-usb .claude/skills/jetson-customize-usb && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "jetson-customize-usb" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/jetson-customize-usb into .claude/skills/jetson-customize-usb/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jetson-customize-usb", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/NVIDIA/skills/tree/main/skills/jetson-customize-usbType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add NVIDIA/skills --skill jetson-customize-usb -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install NVIDIA/skills jetson-customize-usb --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/jetson-customize-usb .agents/skills/jetson-customize-usb && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "jetson-customize-usb" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/jetson-customize-usb into .agents/skills/jetson-customize-usb/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jetson-customize-usb", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add NVIDIA/skills --skill jetson-customize-usb -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install NVIDIA/skills jetson-customize-usb --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/jetson-customize-usb .cursor/skills/jetson-customize-usb && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "jetson-customize-usb" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/jetson-customize-usb into .cursor/skills/jetson-customize-usb/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jetson-customize-usb", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/NVIDIA/skills.git --path skills/jetson-customize-usb--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add NVIDIA/skills --skill jetson-customize-usb -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install NVIDIA/skills jetson-customize-usb --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/jetson-customize-usb .gemini/skills/jetson-customize-usb && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "jetson-customize-usb" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/jetson-customize-usb into .gemini/skills/jetson-customize-usb/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jetson-customize-usb", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install NVIDIA/skills jetson-customize-usbInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add NVIDIA/skills --skill jetson-customize-usb -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/jetson-customize-usb .github/skills/jetson-customize-usb && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "jetson-customize-usb" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/jetson-customize-usb into .github/skills/jetson-customize-usb/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jetson-customize-usb", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add NVIDIA/skills --skill jetson-customize-usb -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install NVIDIA/skills jetson-customize-usb --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/jetson-customize-usb .opencode/skills/jetson-customize-usb && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "jetson-customize-usb" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/jetson-customize-usb into .opencode/skills/jetson-customize-usb/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jetson-customize-usb", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
jetson-customize-usbEnable/disable Jetson USB2/USB3 SS ports via kernel-DT overlay.
Jetson Customize Usb is an agent skill from NVIDIA/skills, published by the product's own GitHub organization. Enable/disable Jetson USB2/USB3 SS ports via kernel-DT overlay. Do NOT use for UPHY lane allocation or ODMDATA edits.
Its SKILL.md is about 2.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 12 other files, including reference files (for example `BENCHMARK.md`, `evals/evals.json` and `references/README.md`).
It sits in AI & LLM Engineering, covering GPU and accelerator computing. It works with NVIDIA AI Platform. The repository describes itself as: Agent Skills for NVIDIA products — install into Claude Code, Codex, and other coding agents to run Physical AI, robotics, simulation, CUDA, and RAG workflows end to end. The licence is Apache-2.0.
6 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 67a13c0. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Jetson Customize Usb loads about 2.1k tokens when it runs, and up to ~8.3k if it reads all its reference files. Until then it costs about 35 tokens; SKILL.md has 981 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from NVIDIA/skills at commit 67a13c0, republished under its Apache-2.0 licence (© NVIDIA). 981 words, ~2,084 tokens.
.claude/skills/jetson-customize-usb/SKILL.md (or your agent's skills folder). This skill also uses 10 other files; get the full folder from GitHub.Enable, disable, or change the role of USB2 / USB3 SS ports on a
Jetson Thor (Tegra264) or Orin (Tegra234) custom carrier. Captures
per-port wiring (role, max speed, VBUS-EN / OC GPIOs, CC1/CC2 GPIOs
for Type-C, USB3 SS UPHY lane), resolves the SS to USB2 companion
graph from the in-tree DTB, then renders a self-contained kernel-DT
overlay that flips every port action in three places in lockstep
(lane status, port status, host xHCI phys + phy-names).
UPHY lane allocation belongs to jetson-customize-uphy. No ODMDATA
edit. Output is one commit to the composite custom overlay .dts in
the bsp_sources/ hardware repo.
reference_devkit: + custom_carrier: blocks.<source.root_path>/Linux_for_Tegra/.git exists
(/jetson-init-source)./jetson-derive-carrier has run — carrier flash-conf fork in the
overlay tracker./jetson-customize-uphy has run when any enabled USB3 SS port
needs a non-stock UPHY lane allocation. Its JSON sidecar at
<workspace>/target-platform/<profile-stem>.jetson-customize-uphy.json
is consulted for SS lane allocation.custom_carrier: is present, both
documents.custom_carrier_schematic AND
documents.custom_carrier_pinmux_xls are REQUIRED. Refuse the run
if either is missing — per-port routing (VBUS-EN / OC / CC GPIOs, SS
lane wiring, hub fan-out) on a custom carrier cannot be guessed.
Reference-devkit-only profiles skip this check.dtc, fdtoverlay on PATH.USB on Tegra spans three IP surfaces: the xusb_padctl block (USB2
OTG + USB3 SS PHYs), the tegra-xusb xHCI host controller, and an
optional tegra-xudc device controller attached to the single
OTG-capable USB2 port (usb2-0).
A per-port flip MUST touch three kernel-DT places in lockstep.
Anything less crashes the host xHCI probe and leaves lsusb empty
on every port (collateral damage to stock-okay ports):
| # | Place | Path | What it controls |
|---|---|---|---|
| 1 | Lane (PHY provider) | xusb_padctl/pads/usb<2|3>/lanes/usb<2|3>-N | SS / OTG PHY hardware-binding. status="disabled" then lane stops providing a PHY. |
| 2 | Port (controller-binding) | xusb_padctl/ports/usb<2|3>-N | Per-port mode (host/device/otg), companion link, VBUS / OC / CC pin refs. status="disabled" then port removed from user-facing topology. |
| 3 | Host xHCI phys-list | bus@0/usb@<addr>.phys + .phy-names | Array of phandles + names the xHCI driver iterates. A ref to a disabled PHY returns -ENODEV and aborts the whole host probe. |
NVIDIA's stock-disabled usb3-3 in the Thor base DTB is the canonical
pattern — all three places flipped in lockstep.
Two extra rules ride on top of the three-place pattern:
xusb_padctl/ports/usb3-N.nvidia,usb2-companion references a USB2
port phandle. Disabling that USB2 without cascading to its SS
companion then tegra-xusb: failed to enable PHYs: -19.Agentic, not table-driven — every port, controller, lane,
companion link, phandle, and __symbols__ lookup is resolved at
runtime from docs + DTB + carrier pinmap + schematic.
lsusb empty after a previous
jetson-customize-usb attempt) needs to be fixed.jetson-customize-uphy re-allocated UPHY lanes affecting USB3 SS
ports and per-port DT now needs to follow.The full step-by-step procedure lives in references/procedure.md.
AskUserQuestion for port(s) to enable / disable;
surface companion cascade + on-carrier hub fan-out explicitly.pin_verifier.py).usb:padctl, usb:xhci, optional
usb:xudc) to the composite custom overlay .dts, run
fdtoverlay + the three post-merge invariants, commit to
bsp_sources/.references/run-state-sidecar.md), emit headline, then drive the
downstream next-step chain via sequential AskUserQuestion prompts
per references/procedure.md Step 6. Never substitute a printed
"Next step: …" line for the prompts.See references/gotchas.md for the load-bearing failure modes.
status knob; do not edit it.jetson-customize-uphy owns that.
Refuse to commit an SS-enable until uphy run-state shows the lane
allocated./jetson-customize-pinmux set-pin..dtbo or register OVERLAY_DTB_FILE+= —
/jetson-build-source owns build + flash-conf registration.usb2-0 is OTG-capable; xudc
attaches there only. All other USB2 ports and all USB3 SS ports
are host-only.lsusb on every port, USB-eth at 192.168.55.1 still up:
host xHCI bailed; three-place lockstep was broken. Inspect merged
DTB; verify post-merge invariants in references/procedure.md
Step 5d.tegra-xusb: failed to enable PHYs: -19: companion cascade
(Rule B) violated — a USB2 was disabled without its SS companion.no port found or Requested PHY is disabled: Rule A
violated — lane status and port status are mismatched.FDT_ERR_NOTFOUND from fdtoverlay: a fragment used
target = <&label> for a node whose label is not in
__symbols__ (typical for host xHCI / tegra-xudc). Switch to
target-path = "/bus@0/usb@<addr>".phys_property: cell 0 is not a phandle reference:
benign; expected when using raw integer phandles in the host phys
override.vbus-supply references a
regulator parent node that does not exist. Ensure the fixed
regulator node is present before referencing it.phys element order
was not preserved. Only elide disabled entries; never reorder
kept ones.references/procedure.md — full step-by-step procedure.references/gotchas.md — load-bearing failure modes.references/run-state-sidecar.md — run-state JSON shape.references/usb-architecture.md — Tegra USB IP architecture
notes (xusb_padctl, tegra-xusb, xudc).references/usb-dt-bindings.md — USB DT binding cheatsheet
(lane / port / phys-list shapes).../../scripts/pin_verifier.py — shared HSIO pin verifier.../../references/platform_template.yaml — documents: block
consumed by Step 1.../../context/bsp-customization-workflow.md — overlay edit
protocol.../../references/bsp-customization-kernel-dtb.md — composite
overlay append protocol.../jetson-customize-uphy/SKILL.md — sibling skill that owns
UPHY lane allocation.../jetson-customize-pinmux/SKILL.md — sibling skill for
VBUS-EN / OC / CC SFIO fixes.../jetson-derive-carrier/SKILL.md — must run first.../jetson-init-source/SKILL.md — produces the overlay trackerbsp_sources repo.© NVIDIA, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 10 other files (references) in skills/jetson-customize-usb of NVIDIA/skills.
Open the folder on GitHubat commit 67a13c0
Jetson Customize Usb next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Jetson Customize Usb this skillNVIDIA/skills | 3.5k | — | ~2.1k | Automated safety check: Pass | Apache-2.0 | |
| Fla Triton To Gluonfla-org/flash-linear-attention | 5.8k | — | ~4.2k | Automated safety check: Pass | MIT | |
| DGX Spark Memory and Thermal Opswshobson/agents | 40k | 1 repos | ~2k | Automated safety check: Pass | MIT | |
| DGX Spark Training Gotchaswshobson/agents | 40k | 1 repos | ~2k | Automated safety check: Pass | MIT | |
| Megatron-LM on SLURMNVIDIA/Megatron-LM | 18k | — | ~1.8k | Automated safety check: Pass | Apache-2.0 | |
| OpenVLA-OFT Fine-TuningOrchestra-Research/AI-Research-SKILLs | 13k | 1 repos | ~3.7k | Automated safety check: Pass | MIT |
fla-org/flash-linear-attention
Workflow for porting an existing Triton kernel in fla/ops/ to Gluon (triton.experimental.gluon) to gain explicit control over tensor layouts, shared memory, async data movement (cp.async / TMA), MMA…
wshobson/agents
Plans memory headroom, works through out-of-memory failures and watches temperature and power during long ML training jobs on NVIDIA DGX Spark.
wshobson/agents
Preflight checks and diagnosis for ten known failure modes of ML training on NVIDIA DGX Spark's GB10, spanning launch errors, memory, thermals, bandwidth and precision.
NVIDIA/Megatron-LM
Shows how to launch distributed Megatron-LM training on a SLURM cluster: sbatch skeleton, torch.distributed.run setup, CUDA_DEVICE_MAX_CONNECTIONS rules and failure diagnosis.
Orchestra-Research/AI-Research-SKILLs
Fine-tunes and evaluates OpenVLA-OFT and OFT+ robot policies with LoRA and continuous action heads on LIBERO simulation and ALOHA real-robot setups.
Orchestra-Research/AI-Research-SKILLs
Sets up and runs NVIDIA Cosmos Policy evaluations on the LIBERO and RoboCasa simulators, including headless GPU rendering and inference latency profiling.
NVIDIA/skills
A skill your agent uses when the user wants to deploy, run, debug, tear down, or call the REST API of the RTVI-CV 2D detection / tracking microservice.
NVIDIA/skills
Generates, validates, compares and explains HOLOLINK_def.svh macro files for the HSB IP, using bundled Python scripts and asking before it writes anything.
NVIDIA/skills
Runs and validates an end-to-end Mission Control demo in a locally installed Isaac Sim, with a Nova Carter robot driven through a Python server.
NVIDIA/skills
Orchestrates defect image generation for PCBA, metal surface and glass inspection with NVIDIA Cosmos AnomalyGen on OSMO, from cold-start Day 0 to real-photo Day 1 labeling.
NVIDIA/skills
Orchestrates video data augmentation and auto-labeling workflows on OSMO, from flow selection and preflight checks to submission, monitoring and output download.
NVIDIA/skills
Runs NVIDIA TAO Data Services KPI analysis on object detection results, comparing predictions to ground truth and writing per-class precision, recall and AP to a CSV.
Works with
Categories
Enable/disable Jetson USB2/USB3 SS ports via kernel-DT overlay. Jetson Customize Usb is an agent skill from NVIDIA/skills, published by the product's own GitHub organization. Enable/disable Jetson USB2/USB3 SS ports via kernel-DT overlay.
Jetson Customize Usb fits situations like: UPHY lane allocation; tasks that involve GPU and accelerator computing.
Run `npx skills add NVIDIA/skills --skill jetson-customize-usb -a claude-code`. Or copy the skill folder (skills/jetson-customize-usb in NVIDIA/skills) into .claude/skills/jetson-customize-usb in your project. Claude Code loads it when a task matches its description.
Run `npx skills add NVIDIA/skills --skill jetson-customize-usb -a codex`. Or copy the skill folder (skills/jetson-customize-usb in NVIDIA/skills) into .agents/skills/jetson-customize-usb in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add NVIDIA/skills --skill jetson-customize-usb -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/jetson-customize-usb, .gemini/skills/jetson-customize-usb, .github/skills/jetson-customize-usb and .opencode/skills/jetson-customize-usb in your project.
SKILL.md names no scripts, command-line tools or credentials: Jetson Customize Usb is instructions for the agent only.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Jetson Customize Usb is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.1k tokens (SKILL.md is roughly 8.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 6.2k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Jetson Customize Usb: Fla Triton To Gluon (fla-org/flash-linear-attention, 5.8k stars), DGX Spark Memory and Thermal Ops (wshobson/agents, 40k stars), DGX Spark Training Gotchas (wshobson/agents, 40k stars) and Megatron-LM on SLURM (NVIDIA/Megatron-LM, 18k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
NVIDIA (a GitHub organization, an official publisher) maintains it in NVIDIA/skills, which has 3,539 GitHub stars. The repository holds 380 skills in this directory. The repository was last updated on October 7, 2026.
Source: NVIDIA/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.
