Agent skill

jetson-customize-mgbe

Enable Jetson Thor 25G/10G/1G MGBE QSFP via kernel-DT overlay. Do NOT use for UPHY lane allocation or ODMDATA edits.

NVIDIAgithub.com/NVIDIAGitHub ↗
claude-codecodexApache-2.0
Install
npx skills add NVIDIA/skills --skill jetson-customize-mgbe --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 8
SKILL.md size: 8 KB
Bundled scripts: none
Version: 0.0.1
Declared author: Jetson Team
Path: skills/jetson-customize-mgbe/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 2,789
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Customize MGBE / 25G QSFP ## Overview Thor T264 exposes mgbe0..mgbe3. On a custom carrier, the 25G QSFP cage (or 10G / 1G fiber path) is wired to one of them through SerDes — with or without an external MDIO PHY in front of the cage. This skill renders the kernel-DT overlay that pairs the BPMP allocation with kernel-side `status="okay"` + PHY plumbing on `&mgbeN`. **Out of scope:** - UPHY lane a

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About this skill
What does the jetson-customize-mgbe skill do?

Enable Jetson Thor 25G/10G/1G MGBE QSFP via kernel-DT overlay. Do NOT use for UPHY lane allocation or ODMDATA edits.

How do I install it?

Run `npx skills add NVIDIA/skills --skill jetson-customize-mgbe --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From NVIDIA/skills, a repository with 2,789 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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