Agent skill

jetson-download-bsp

Download NVIDIA Jetson Linux BSP artifacts (BSP tarball, sample rootfs, public_sources, x-tools, guides) for the active target. Use for Auto Setup; not for extraction or profile edits.

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

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

Facts
Files in the skill folder: 5
SKILL.md size: 12 KB
Bundled scripts: none
Version: 0.0.1
Declared author: Jetson Team
Path: skills/jetson-download-bsp/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

# Download BSP Artifacts `jetson-download-bsp` owns network fetches for the Auto Setup path. It does not extract archives, initialize source trees, register documents, or edit the active target profile. Those remain owned by `jetson-init-image`, `jetson-init-source`, and `jetson-link-docs`. ## When to invoke - `/jetson-quick-start` selected `Auto Setup`. - The user wants NVIDIA BSP artifacts downl

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About this skill
What does the jetson-download-bsp skill do?

Download NVIDIA Jetson Linux BSP artifacts (BSP tarball, sample rootfs, public_sources, x-tools, guides) for the active target. Use for Auto Setup; not for extraction or profile edits.

How do I install it?

Run `npx skills add NVIDIA/skills --skill jetson-download-bsp --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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