Individual skill
memory-optimization
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.
tasks/parallel-tfidf-search/environment/skills/memory-optimization/SKILL.md
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# 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
