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performance-go

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Speed up Go apps with profiling and tuning.

Software Engineering#optimization#concurrency#go#memory#profiling#benchmark#pprof
Authorjralph
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Go performance can be opaque; developers struggle to identify CPU hot spots, memory bloat, and suboptimal concurrency in Go applications.

Core Features & Use Cases

  • CPU profiling with pprof to locate hot paths and optimize CPU-bound code.
  • Memory profiling to analyze allocations and reduce heap pressure.
  • Concurrency guidance and benchmarking to improve throughput and latency.
  • Real-world use case: optimize a REST API by reducing allocations and improving request latency.

Quick Start

Enable CPU profiling in your Go application, run representative workloads, collect profiles with go tool pprof, and iteratively apply optimizations while re-profiling to verify gains.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: performance-go
Download link: https://github.com/jralph/.config-opencode/archive/main.zip#performance-go

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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