0154-python-performance-optimization

What problem does it solve?

This Skill helps you diagnose and fix slow or memory-heavy Python code by identifying performance bottlenecks and applying targeted optimization techniques.

Core Features & Use Cases

• CPU profiling with cProfile: Locate the functions consuming the most time and prioritize optimization of hot paths (e.g., speeding up an endpoint that spends most of its time in a few helper functions).
• Memory profiling with memory_profiler and tracing tools: Detect excessive allocations and likely leak patterns to reduce peak memory usage (e.g., lowering memory during large data transformations).
• Practical optimization patterns: Improve real workloads using techniques such as list comprehensions, generator expressions, efficient string building, and faster membership checks (e.g., accelerating data processing loops and reducing latency).
• Advanced guidance via references: Extend results with NumPy vectorization, caching (lru_cache), parallelism, async I/O, database query optimization, and benchmarking approaches.

Quick Start

Use the 0154-python-performance-optimization skill to profile a slow Python function, identify the biggest CPU and memory hotspots, and then apply the relevant optimization pattern for your workload.