Profile and benchmark Go applications to identify and resolve performance bottlenecks.
npx skills add https://github.com/strawgate/agent-skills --skill go-perf-strawgate
Please help me install this Agent Skill. Skill: go-perf Source: https://github.com/strawgate/agent-skills/tree/main/go-perf Command: npx skills add https://github.com/strawgate/agent-skills --skill go-perf-strawgate
This skill addresses the challenge of identifying and resolving performance bottlenecks in Go applications without relying on guesswork or introducing regressions.
Use the go-perf skill to profile the current package and identify hotspots for optimization.
High-intent search queries and answers about installing and using this skill.
To identify performance bottlenecks in Go applications, you profile CPU and memory usage with pprof to visualize exact hotspots. This approach eliminates guesswork by pinpointing specific areas requiring optimization.
Benchmark Go code by running isolated tests and comparing results with benchstat to validate optimizations against established baselines. This framework ensures performance improvements are measured accurately without regressions.
Common Go performance antipatterns include unnecessary cloning, heap allocations in hot loops, and inefficient map usage. Reviewing these provides a targeted checklist for resolving latency and memory issues.
Yes, this profiling approach applies to high-throughput service development and resource-constrained environments. It delivers precise latency and memory management techniques tailored for demanding operational contexts.
Profiling and tuning Go performance requires the standard Go toolchain, pprof, and benchstat. These tools collect profiles, visualize data, and validate benchmark improvements against baselines.
hellopoisonxMeasure, profile, and compare Go benchmark performance with benchstat.
saranskumarProfile frontend, backend, and database components to identify bottlenecks and quantify optimizations.
kreuzberg-devEnforce Criterion.rs benchmarking and profiling standards for Rust performance.
jralphProfile Go applications with pprof to identify and resolve performance bottlenecks.
