Profile CPU, memory, goroutines, and allocations in Go applications using pprof.
npx skills add https://github.com/caraya/agent-skills --skill go-performance-caraya
Please help me install this Agent Skill. Skill: go-performance Source: https://github.com/caraya/agent-skills/tree/main/skills/go-performance Command: npx skills add https://github.com/caraya/agent-skills --skill go-performance-caraya
Profiling and optimizing Go applications to identify CPU time, memory allocations, goroutine contention, and lock bottlenecks, enabling targeted improvements and reliable performance characteristics.
Profile a Go project to identify CPU hotspots and memory allocations and use pprof to analyze results.
High-intent search queries and answers about installing and using this skill.
To find CPU hot paths and memory allocations in a Go application, use pprof to profile CPU and memory. This identifies functions causing latency spikes and suggests targeted code-level improvements to optimize throughput.
Goroutine efficiency and contention analysis detects synchronization bottlenecks and leaks in Go microservices. By profiling goroutines, you identify lock contention areas causing delays and resolve them to improve overall service latency.
Yes, you can use Go pprof benchmarks to optimize throughput and latency across libraries and CLI tools. Benchmarking provides optimization guidance to improve resource efficiency and reduce execution time in your Go code.
Profile a Go service by enabling profiling endpoints and using pprof to analyze CPU and memory data. This pinpoints the specific functions responsible for sporadic latency spikes and suggests targeted code-level improvements.
Use Go profiling to fix performance bottlenecks when you need to identify CPU time, memory allocations, or lock contention within the code. This enables targeted improvements for reliable performance characteristics before committing to infrastructure scaling.
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