Agent skill

jetson-init-image

Extract Jetson Linux + sample-rootfs tarballs and run apply_binaries.sh for the active target, then record bsp_image in the profile. Use after jetson-init-target; not for source-tree setup.

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

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

Facts
Files in the skill folder: 5
SKILL.md size: 7 KB
Bundled scripts: none
Version: 0.0.1
Declared author: Jetson Team
Path: skills/jetson-init-image/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 Image Output is only `bsp_image:` in the active profile: derived `version` plus `root_path` only when overriding `<workspace>/Image`. ## When to invoke - The user asks to extract, prepare, or initialize the BSP image. - A downstream skill reports missing `<bsp_image.root_path>/Linux_for_Tegra/`. - The active profile has no `bsp_image:` block yet. ## Procedure ### Resolve target an

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

Extract Jetson Linux + sample-rootfs tarballs and run apply_binaries.sh for the active target, then record bsp_image in the profile. Use after jetson-init-target; not for source-tree setup.

How do I install it?

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