skypilot
claudeSkyPilot agent skill for launching cloud VMs, Kubernetes pods, and Slurm jobs across 25+ clouds
1 skill
Practical guide for using the GWDG / NHR-Nord@Göttingen HPC cluster (Emmy & Grete) across SCC, KISSKI, NHR, and REACT accounts — SSH, Slurm, partitions, storage, Lmod modules, conda/Apptainer, and Hugging Face models.
Plugin gwdg-hpc from marketplace gwdg-gipplab-skill in lkaesberg/gwdg-gipplab-skill. Commands read from the repo's manifest — 1 month ago.
gwdg-hpcPractical guide for using the GWDG / NHR-Nord@Göttingen HPC systems — one unified cluster of Emmy (CPU) and Grete (GPU) islands shared by SCC, KISSKI, NHR, and REACT accounts. Use whenever the user mentions SCC (Scientific Compute Cluster), KISSKI, NHR, HLRN, Emmy, Grete, glogin/glogin-gpu, gwdg-sto
SkyPilot agent skill for launching cloud VMs, Kubernetes pods, and Slurm jobs across 25+ clouds
1 skill
Comprehensive Python programming reference covering syntax, concurrency, networking, databases, ML/LLM development, and HPC
2 skills
All hpc deployment skills.
24 skills
Parallelize large-scale geospatial operations on a single fat node — tile-edge dissolve, polygon elimination, polygonize, spatial joins, reprojection, simplification — at national/continental scale (10–100M polygons). Use when speeding up or designing a geospatial batch process, or as a pre-flight checklist for known failure modes (DuckDB GEOS segfaults, topology exceptions, int64 overflow, NFS thrashing).
1 skill
Integrate DTensor-based context parallelism (CP) into a custom co-folding / structure-prediction model — sharding the O(N²) pair and attention tensors across a multi-GPU device mesh via explicit ring/transpose collectives. A top-level cpize_model_workflow conductor prioritizes, sequences, and gates the whole effort end-to-end, delegating each phase to focused skills. Explores the user's model and data pipeline, builds and probes distributed test infrastructure (local GPUs or SLURM), implements DTensor data-feature sharding and CP model modules mapped to a located CP reference implementation (e.g. Boltz-CP, via $BOLTZ_CP_REPO), writes serial-as-ground-truth multi-rank parity tests, dispatches the work across an orchestrated coder+reviewer team, and benchmarks max-token / walltime. Ships a SessionStart hook that injects the CP hard-rules and an opt-in PreToolUse guard protecting serial ground-truth files and distributed-test timeouts.
10 skills · hooks
Integrate scientific training code into itwinai: distributed training, HPO, logging, profiling and scalability reports
1 skill
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