Memory Optimization Skill

Transform Python code to minimize memory usage while maintaining functionality.

Workflow

1. Profile to identify memory bottlenecks (largest allocations, leak patterns)
2. Analyze data structures and object lifecycles
3. Select optimization strategies based on access patterns
4. Transform code with memory-efficient alternatives
5. Verify memory reduction without correctness loss

Memory Optimization Decision Tree

What's consuming memory?