go-performance-best-practices

What problem does it solve?

Go performance optimization guidelines for profiling, allocation, GC tuning, concurrency, PGO, and I/O. This skill should be used when writing, reviewing, or optimizing Go code for performance. Triggers on tasks involving slow services, high latency, high memory usage, memory leaks, goroutine leaks, GC pressure, CPU profiling, pprof analysis, allocation reduction, sync.Pool, mutex contention, HTTP client tuning, Profile-Guided Optimization, GOMEMLIMIT tuning, Go 1.24 features, Swiss Tables, or any Go performance investigation.

Core Features & Use Cases

• 41 rules across 8 categories, with real-world examples and patterns.
• Profiling, benchmarking, allocation reduction, and GC tuning for Go services and CLI tools.
• Example: identify hot paths in a latency-critical service and apply memory-safe optimizations like preallocation and buffered I/O.

Quick Start

Run a production-like benchmark, identify hot paths, and apply the guidelines to improve performance.