memory-optimization

Features and purpose

Optimize Python code for reduced memory usage and improved memory efficiency. Use when asked to reduce memory footprint, fix memory leaks, optimize data structures for memory, handle large datasets efficiently, or diagnose memory issues. Covers object sizing, generator patterns, efficient data structures, and memory profiling strategies.

Quick start

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.