python-performance-optimization
Profile and optimize Python code using cProfile, memory profilers, and performance best practices. Use when debugging slow Python code, optimizing bottlenecks, or improving application performance.
async-python-patterns
Master Python asyncio, concurrent programming, and async/await patterns for high-performance applications. Use when building async APIs, concurrent systems, or I/O-bound applications requiring non-blocking operations.
react
Modern React 18+ patterns with TypeScript, hooks, state management, and performance optimization. This skill should be used when building React components, debugging frontend issues, or reviewing React code. (user)
python-polars
This skill should be used when the user asks to "work with polars", "create a dataframe", "use lazy evaluation", "migrate from pandas", "optimize data pipelines", "read parquet files", "group by operations", or needs guidance on Polars DataFrame operations, expression API, performance optimization, or data transformation workflows.
go-development
Production-grade Go development patterns for building resilient services. Use when developing Go applications, implementing job schedulers, Docker integrations, LDAP clients, or needing patterns for resilience, testing, and performance optimization. By Netresearch.
