Building and training neural networks with PyTorch. Use when implementing deep learning models, training loops, data pipelines, model optimization with torch.compile, distributed training, or deploying PyTorch models.
Install
npx skills add benchflow-ai/skillsbench --skill pytorchnpx skills add benchflow-ai/skillsbench --skill pytorch -a claude-code -gnpx skills add benchflow-ai/skillsbench --skill pytorch -a codex -ggemini skills install https://github.com/benchflow-ai/skillsbench.git --path registry/terminal_bench_2.0/full_batch_reviewed/terminal_bench_2_0_torch-tensor-parallelism/environment/skills/pytorchgh skill install benchflow-ai/skillsbench pytorchgit clone --depth 1 https://github.com/benchflow-ai/skillsbench /tmp/benchflow-ai__skillsbench
mkdir -p ~/.claude/skills ~/.agents/skills
cp -R /tmp/benchflow-ai__skillsbench/registry/terminal_bench_2.0/full_batch_reviewed/terminal_bench_2_0_torch-tensor-parallelism/environment/skills/pytorch ~/.claude/skills/pytorch # Claude Code
cp -R /tmp/benchflow-ai__skillsbench/registry/terminal_bench_2.0/full_batch_reviewed/terminal_bench_2_0_torch-tensor-parallelism/environment/skills/pytorch ~/.agents/skills/pytorch # Codex, Cursor, Gemini CLI, Copilot, OpenCode