pytorch

pytorch is a Model training & evaluation skill for AI agents, published by pvillega in the claude-templates repository on GitHub. Skillspace rates pytorch D (59/100) and it passed the safety scan; the rating is based on static analysis only.

Deep PyTorch operational intuition — torch.compile recompile and graph-break diagnosis, CUDA allocator tuning, FSDP2 vs FSDP1 vs DDP, mixed-precision policy, DataLoader bottlenecks, memory_viz, FlexAttention backends, determinism. Load when diagnosing torch.compile, CUDA OOM, FSDP/DDP setup, DataLoader stalls, memory-snapshot interpretation, or attention-backend selection. Skip for plain training-loop authoring or architecture choice. For training fundamentals pair with `dl-training`. Triggers on: "torch.compile", "TorchInductor", "AOTInductor", "fullgraph", "graph break", "TORCH_LOGS", "tlparse", "PYTORCH_CUDA_ALLOC_CONF", "expandable_segments", "memory._snapshot", "FSDP2", "fully_shard", "MixedPrecisionPolicy", "FlexAttention", "torchtitan".

Grade
D
Quality
59 / 100
Safety
Passed
GitHub stars
23

Unproven: rated by static analysis only, not yet compared head-to-head.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

Our review

Architecture
84 / 100
Maturity
Basic: a single SKILL.md
Security scan
No issues found
License
Not declared. Check the repository before reusing it.
Adoption
Adopted by 0 other repositories, in 0 collections

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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