Performance Benchmarking Pattern

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Implements a data-driven approach to code optimization by measuring, profiling, and validating performance changes using Norvig patterns.

The benchmark-before-optimize skill equips Claude with a rigorous methodology for performance engineering based on Peter Norvig's software patterns. Instead of guessing where code is slow, this skill guides the process of establishing a baseline using CPU process time, identifying specific bottlenecks through profiling tools like cProfile or %prun, and validating every optimization with comparative metrics. It is particularly effective when working with complex algorithms, data processing pipelines, or any code where execution speed is a critical requirement, ensuring that optimizations are both necessary and effective.

Key Features

01Standardized timing utilities for precise function measurement
02Throughput reporting and 'puzzles per second' (Hz) metrics
03Comparative analysis for multiple algorithm implementations
04Bottleneck identification using system-level profiling tools
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06Process-time focus to ensure accuracy across different environments

Use Cases

01Comparing the efficiency of different data structures for a specific task
02Validating performance improvements after refactoring complex logic
03Identifying the specific 'hot spots' in a slow-running data pipeline