quark-onnx-install
SkillDev toolsInstall or verify the correct ONNX Runtime build (and the matching `onnx` package) for a user's accelerator backend before Quark ONNX-flow usage. Trigger for "install onnxruntime", "pip install onnxruntime", "set up onnxruntime for ROCm", "set up onnxruntime for CUDA", "onnxruntime-gpu vs onnxruntime", "onnx version mismatch", "CPU-only onnxruntime installed", "onnxruntime providers list missing CUDAExecutionProvider/ROCMExecutionProvider", failures importing `onnxruntime`, or any request to get the correct ONNX Runtime build running. Also trigger when quark-install reports that ONNX Runtime is missing or mismatched before proceeding with the ONNX-to-ONNX flow.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the quark-onnx-install skill
What this skill tells your AI
The instructions your AI receives, as published by amd/quark in .claude/skills/quark-onnx-install/SKILL.md and read by ahel’s review.
Read and follow the instructions in .claude/skills-impl/l1-atomic/onnx/quark-onnx-install/SKILL.md.
Signals
- GitHub stars
- 166
- Forks
- 33
- Last commit
- Aug 2026
Advanced
- Catalog kind
- skill
- Gateway key
quark-onnx-install- Source
- github.com/amd/quark