ayushnangia/alliance-ml-docs (alliance-ml)

Guide for running ML/AI workloads on Alliance Canada (formerly Compute Canada) HPC clusters. Use this skill whenever the user mentions Alliance Canada, Compute Canada, Narval, Cedar, Graham, Trillium, Niagara, Fir, Nibi, Rorqual, Killarney, Slurm job submission on Canadian clusters, sbatch for ML training, GPU jobs on HPC, virtualenv on clusters, or anything related to running deep learning on shared computing infrastructure. Also use when the user asks about CUDA on clusters, distributed training with DeepSpeed/PyTorch DDP on Slurm, managing datasets on parallel filesystems, HuggingFace on HPC, Apache Arrow or Parquet on clusters, ML best practices for shared computing, Apptainer, Singularity, containers on HPC, vLLM, inference serving on HPC, or LLM inference on clusters.

Claude Skills are markdown + scripts loaded into Claude Code; scanned with the same pipeline.

Source:

github.com/ayushnangia/alliance-ml-docs

Provenance:

Found by crawling (provenance, not a security rating)

We found this by crawling public sources and nobody has attested to it. That is how most of the registry gets here, and it is not a mark against the artifact — it only means no authenticated act of publication is on record. An artifact can be the vendor's own and still appear here.