Profile Go services with pprof and benchstat to identify performance bottlenecks.
npx skills add https://github.com/juburr/mad-skills --skill go-performance-juburr
Please help me install this Agent Skill. Skill: go-performance Source: https://github.com/juburr/mad-skills/tree/main/go-performance Command: npx skills add https://github.com/juburr/mad-skills --skill go-performance-juburr
Go performance skills help engineering teams systematically optimize Go services for throughput and latency by teaching measurement-first practices, benchmarking, and profiling to locate bottlenecks.
Execute a measurement-first review on a Go service to identify bottlenecks and apply targeted performance fixes.
High-intent search queries and answers about installing and using this skill.
Find bottlenecks in your Go service by applying measurement-based profiling to CPU, memory/GC, contention, and I/O across server workloads to identify performance limitations and propose targeted improvements.
A measurement-first workflow for Go performance optimization starts with baselines, bottleneck classification, profiling, and iterative improvements to systematically locate and resolve throughput and latency bottlenecks.
Write reproducible benchmarks for Go microservices using practical examples with pprof, benchstat, and runtime metrics to measure CPU time, allocations/GC, memory footprint, and I/O overhead.
Yes, you can use pprof for GC tuning and trace-based diagnosis in production Go applications by applying production-oriented patterns and profiling recommendations to sustain performance gains.
Reduce memory allocations and GC overhead in Go by following actionable code-review guidance and profiling allocations/GC and memory footprint to apply targeted performance fixes.
Profile contention and I/O overhead in Go server workloads when identifying bottlenecks across microservices, applying measurement-based profiling to propose targeted performance improvements.
jralphProfile and optimize software performance with measurement-first analysis.
nashgaoProfile code, identify bottlenecks, and implement benchmarked optimizations.
AeonDaveProfile and benchmark Go applications using pprof, trace, and benchstat.
jingtaozfAutomate Emacs Lisp debugging with edebug, tracing, and profiling workflows.
