Agent skill

jetson-init-source

Set up the BSP source workspace: Linux_for_Tegra overlay tracker, bsp_sources, Crosstool-NG toolchain. Use after jetson-init-image; not for fetching inputs.

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

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

Facts
Files in the skill folder: 6
SKILL.md size: 17 KB
Bundled scripts: none
Version: 0.0.1
Declared author: Jetson Team
Path: skills/jetson-init-source/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

# Initialize BSP Customization Workspace ## Overview This skill bootstraps the source-side workspace that customize-* / build skills depend on: the `Linux_for_Tegra` overlay tracker (git repo for pristine + customization commits), the `bsp_sources/` mono-tree (kernel, OOT, nvgpu, display, hwpm, hardware DTs), and a working NVIDIA Crosstool-NG cross-compile prefix. It owns only the `source:` block

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About this skill
What does the jetson-init-source skill do?

Set up the BSP source workspace: Linux_for_Tegra overlay tracker, bsp_sources, Crosstool-NG toolchain. Use after jetson-init-image; not for fetching inputs.

How do I install it?

Run `npx skills add NVIDIA/skills --skill jetson-init-source --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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