Guidance for implementing PyTorch pipeline parallelism for distributed model training. This skill should be used when tasks involve implementing pipeline parallelism, distributed training with model p
design/torch-pipeline-parallelism
Add unsigned integer (uint) type support to PyTorch operators by updating AT_DISPATCH macros. Use when adding support fo...
Guide users through creating Agent Skills for Claude Code. Use when the user wants to create, write, author, or design a...
Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to...