Optimize Go code with strconv conversions and pre-sized containers.
npx skills add https://github.com/rondevz/phant --skill go-performance-rondevz
Please help me install this Agent Skill. Skill: go-performance Source: https://github.com/rondevz/phant/tree/main/.agents/skills/go-performance Command: npx skills add https://github.com/rondevz/phant --skill go-performance-rondevz
Go performance patterns including efficient string handling, type conversions, and container capacity hints help developers optimize Go code and reduce latency in performance-critical sections.
Identify a performance hotspot in your Go project and apply the recommended patterns to optimize string handling and memory allocations.
High-intent search queries and answers about installing and using this skill.
Reduce memory allocations in Go hot paths by pre-sizing containers, reusing buffers, and preferring strconv over fmt for primitive-to-string conversions to minimize heap pressure and latency.
strconv is faster than fmt for Go string conversions because it avoids the reflection overhead and formatting allocation costs required by fmt, directly converting primitives to strings with lower latency.
Optimize Go server performance for high throughput by applying established patterns like pre-sizing slices and maps, reusing buffers, and minimizing allocations in performance-critical data processing sections.
Pre-sizing containers can improve Go benchmark results by eliminating repeated memory allocations during slice and map growth, reducing allocation overhead and lowering latency in performance-critical sections.
Apply memory optimization patterns in Go when optimizing performance-critical sections such as hot paths in server code, benchmarks, and data processing where allocation and conversion costs directly impact latency.
Utchash007Apply Go performance optimization patterns to profiling-identified bottlenecks.
mcart13Identify Go performance improvement patterns and profiling targets for optimization.
pluginagentmarketplaceProfiles CPU and memory usage in Go applications to identify hotspots and guide performance improvements.
6luciano3Profile and optimize Python and Rust code for latency and memory usage.
