jetson-package
OfficialFind Jetson-ready packages fast
AuthorNVIDIA-AI-IOT
Version1.0.0
Installs0
System Documentation
What problem does it solve?
It helps agents choose the right Jetson-compatible container images, package indexes, and runtime options so GPU-native installs do not fail on mismatched ARM wheels or the wrong CUDA and SM target.
Core Features & Use Cases
- Detects Jetson generation details and converts them into practical package guidance for Orin and Thor devices.
- Recommends NVIDIA-curated container sources, including Jetson-oriented GHCR images and the current multi-arch CUDA and PyTorch paths on NGC.
- Points users to the correct Jetson AI Lab devpi subtree for GPU wheels such as PyTorch and onnxruntime-gpu.
- Helps with common workflows like selecting a vLLM image, replacing legacy l4t-cuda guidance, or fixing a CUDA and SM mismatch after a failed install.
Quick Start
Ask the agent to run the Jetson package skill, inspect your device, and recommend the right container image or Python package index for your workload.
Dependency Matrix
Required Modules
python3
Components
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: jetson-package Download link: https://github.com/NVIDIA-AI-IOT/jetson-device-skills/archive/main.zip#jetson-package Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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