Agent skill

go-performance

Use when writing, reviewing, or optimizing Go code for performance. Covers string operations, memory allocation, preallocating slices and maps, strings.Builder, strconv, container-aware GOMAXPROCS, and runtime considerations for Go 1.25.

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npx add-skill https://github.com/saisudhir14/claude-skills/tree/main/skills/go-performance

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Additional technical details for this skill

tags
golang go performance optimization memory allocation
author
saisudhir14
category
languages

SKILL.md

Go Performance

Performance optimization patterns for production Go.

Prefer strconv Over fmt

strconv is faster for primitive conversions.

go
// Slower
s := fmt.Sprintf("%d", n)

// Faster
s := strconv.Itoa(n)

Avoid Repeated String to Byte Conversions

go
// Wrong: converts on every iteration
for i := 0; i < n; i++ {
    w.Write([]byte("hello"))
}

// Correct
data := []byte("hello")
for i := 0; i < n; i++ {
    w.Write(data)
}

Specify Map Capacity

go
// Wrong
m := make(map[string]int)

// Correct when size is known
m := make(map[string]int, len(items))

Preallocate Slice Capacity

go
// Wrong
var result []Item
for _, v := range input {
    result = append(result, transform(v))
}

// Correct
result := make([]Item, 0, len(input))
for _, v := range input {
    result = append(result, transform(v))
}

Use strings.Builder for Concatenation

go
// Wrong: creates many allocations
var s string
for _, part := range parts {
    s += part
}

// Correct
var b strings.Builder
b.Grow(totalLen) // optional: preallocate
for _, part := range parts {
    b.WriteString(part)
}
s := b.String()

Container-Aware GOMAXPROCS (Go 1.25+)

Go 1.25 automatically adjusts GOMAXPROCS based on container CPU limits.

go
// On Linux with cgroups, GOMAXPROCS now considers:
// - CPU bandwidth limits (CPU limit in Kubernetes)
// - Changes dynamically if limits change

// Automatic behavior is disabled if you set GOMAXPROCS explicitly:
// - Via GOMAXPROCS environment variable
// - Via runtime.GOMAXPROCS() call

This means Go programs in containers perform better out-of-the-box without manual GOMAXPROCS tuning.

Resource Management (Go 1.24+)

runtime.AddCleanup

Prefer runtime.AddCleanup over runtime.SetFinalizer for cleanup operations.

go
func NewResource() *Resource {
    r := &Resource{handle: allocHandle()}
    runtime.AddCleanup(r, func(handle uintptr) {
        freeHandle(handle)
    }, r.handle)
    return r
}

Advantages over SetFinalizer:

  • Multiple cleanups per object
  • Works with interior pointers
  • No cycle-related leaks
  • Object freed promptly (single GC cycle)

Weak Pointers (Go 1.24+)

The weak package provides weak references that don't prevent garbage collection.

go
import "weak"

type Cache struct {
    mu    sync.Mutex
    items map[string]weak.Pointer[ExpensiveResource]
}

func (c *Cache) Get(key string) *ExpensiveResource {
    c.mu.Lock()
    defer c.mu.Unlock()
    if wp, ok := c.items[key]; ok {
        if r := wp.Value(); r != nil {
            return r
        }
        delete(c.items, key)
    }
    return nil
}

Use cases: caches, canonicalization maps, observer patterns.

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