How does this skill help with Go memory leaks?

It provides specific pprof commands and diagnostic patterns for heap profiling and goroutine leak detection to pinpoint where memory is being retained or leaked.

Does it help with high Garbage Collection (GC) overhead?

Absolutely. It focuses on reducing allocations through escape analysis, slice preallocation, and the implementation of sync.Pool to minimize GC pressure.

Can I use this for real-time benchmarking?

Yes, the skill includes templates for 'go test -bench' and instructions for using benchstat to provide statistically significant comparisons between code versions.

What profiling types are supported?

The skill supports CPU, heap/allocations, goroutine, block contention, and mutex profiling to provide a 360-degree view of application performance.

Go Performance Optimizer

Name: Go Performance Optimizer
Author: pluginagentmarketplace

bypluginagentmarketplace

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分析与监控

Optimizes Go application performance through advanced profiling, benchmarking, and memory management strategies.

关于

The Go Performance Skill empowers developers to identify and resolve bottlenecks in Go applications by providing deep integration with pprof tools and benchmarking suites. It guides users through CPU and memory profiling, helps detect goroutine leaks, and implements advanced optimization patterns like memory pooling and escape analysis. This skill is essential for building high-concurrency, low-latency Go services that require fine-grained resource management and production-grade efficiency.

主要功能

Comprehensive benchmarking patterns with benchstat comparison
Integrated CPU and memory profiling via pprof and trace tools
Escape analysis diagnostics to minimize heap allocations
Real-time troubleshooting for GC pauses and goroutine leaks
Memory optimization through sync.Pool and preallocation strategies
1 GitHub stars

使用场景

Reducing latency and CPU usage in high-traffic Go microservices
Comparing code performance before and after refactoring using benchstat
Identifying and fixing memory leaks in long-running backend processes

关于

主要功能

Comprehensive benchmarking patterns with benchstat comparison
Integrated CPU and memory profiling via pprof and trace tools
Escape analysis diagnostics to minimize heap allocations
Real-time troubleshooting for GC pauses and goroutine leaks
Memory optimization through sync.Pool and preallocation strategies
1 GitHub stars

使用场景

Reducing latency and CPU usage in high-traffic Go microservices
Comparing code performance before and after refactoring using benchstat
Identifying and fixing memory leaks in long-running backend processes