Menu
Use `docker exec` to run commands in the specified container.
Installer avec Codex ou Claude Copiez ce prompt, collez-le dans Codex, Claude ou un autre assistant, puis laissez-le vérifier la page du skill et l'installer pour vous.
Basé sur la classification professionnelle SOC
Query available hardware and obtain details about the device architecture to inform hardware aware implementations.
explore repositories under /reference/{repository_name}
Analyze a Hugging Face transformers model and implement its inference pipeline in SYCL. Use this skill whenever the task involves porting, implementing, or optimizing a transformers architecture (LLM, VLM, encoder, or any modality) as SYCL kernels or a SYCL runtime — including when the user mentions oneAPI, DPC++, Intel GPUs, Level Zero, a "custom inference engine", or asks to run a Hugging Face checkpoint without Python. Also use it at the start of such tasks to query the available hardware and device architecture so the implementation is hardware-aware from the beginning
| name | docker-exec |
| description | Use `docker exec` to run commands in the specified container. |
Use this container for all development and code changes; DO NOT run commands on the host.
docker exec arcaine-dev-run
docker exec -i arcaine-dev-1 sh -c 'cmake -B build -G Ninja \
-DCMAKE_CXX_COMPILER=icpx \
-DARCAINE_SYCL_TARGETS=intel_gpu_bmg_g31 && \
cmake --build build -j"$(nproc)"'