A comprehensive guide to portfolio optimization using PyPortfolioOpt, covering expected returns calculation, risk models, and optimization techniques.Use when users ask to optimize their portfolio or
design/portfolio-optimization-with-pyportfolioopt
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...