go-optimization

Guidance for making Go programs run faster and use less memory. Go is a programming language commonly used for services, command-line tools, and backend systems.

In plain words
What is it for?
Use it for profiling CPU and memory use, reducing allocations, tuning garbage collection, writing benchmarks, improving frequently used code, and reducing lock contention.
Why use it?
It helps locate performance bottlenecks and choose suitable changes instead of guessing where an application is slow or wasteful.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/geoffjay/claude-plugins/go-optimization
Any agent
npx skills add geoffjay/claude-plugins --skill go-optimization
Clone the repo
git clone --depth 1 https://github.com/geoffjay/claude-plugins

Made for: Claude Code, Codex.

Per session 36 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,234 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00036 $0.03234
Opus 5 $0.00018 $0.01617
Sonnet 5 $0.00007 $0.00647
Haiku 4.5 $0.00004 $0.00323

Measured 2d ago against content hash 1f9d6873edd2, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

go-optimization scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

plugins/golang-development/skills/go-optimization/SKILL.md · 655 lines

How it starts

The opening of the file, as written. The whole thing — 655 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Go Optimization Skill

This skill provides expert guidance on Go performance optimization, covering profiling, benchmarking, memory management, and runtime tuning for building high-performance applications.

When to Use

Activate this skill when:

  • Profiling application performance
  • Optimizing CPU-intensive operations
  • Reducing memory allocations
  • Tuning garbage collection
  • Writing benchmarks
  • Analyzing performance bottlenecks
  • Optimizing hot paths
  • Reducing lock contention

Profiling

CPU Profiling

import (
    "os"
    "runtime/pprof"
)

func main() {
    // Start CPU profiling
    f, err := os.Create("cpu.prof")
    if err != nil {
        log.Fatal(err)
    }
    defer f.Close()

    if err := pprof.StartCPUProfile(f); err != nil {
        log.Fatal(err)
    }
    defer pprof.StopCPUProfile()

    // Your code here
    runApplication()
}

// Analyze:
// go tool pprof cpu.prof
// (pprof) top10
// (pprof) list functionName
// (pprof) web

Memory Profiling

import (
    "os"
    "runtime"
    "runtime/pprof"
)

func writeMemProfile(filename string) {
    f, err := os.Create(filename)
    if err != nil {
        log.Fatal(err)
    }
    defer f.Close()

    runtime.GC() // Force GC before snapshot
    if err := pprof.WriteHeapProfile(f); err != nil {
        log.Fatal(err)
    }
}

// Analyze:
// go tool pprof -alloc_space mem.prof
// go tool pprof -inuse_space mem.prof

HTTP Profiling

import (
    _ "net/http/pprof"
    "net/http"
)

func main() {
    // Enable pprof endpoints
    go func() {
        log.Println(http.ListenAndServe("localhost:6060", nil))
    }()

    // Your application
    runServer()
}

// Access profiles:
// http://localhost:6060/debug/pprof/
// go tool pprof http://localhost:6060/debug/pprof/profile?seconds=30
// go tool pprof http://localhost:6060/debug/pprof/heap

Execution Tracing

import (
    "os"
    "runtime/trace"
)

func main() {
    f, err := os.Create("trace.out")
    if err != nil {
        log.Fatal(err)
    }
    defer f.Close()

    if err := trace.Start(f); err != nil {
        log.Fatal(err)
    }
    defer trace.Stop()

    // Your code
    runApplication()
}

// View trace:
// go tool trace trace.out

Read the full file on GitHub · 655 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago First seen · 655 lines · 36 tokens per session scan A 1f9d6873edd2

Subscribe to this mod's changes

go-optimization is a skill published in the GitHub repository geoffjay/claude-plugins (8 stars, last pushed 10mo ago), licensed MIT. It adds 36 tokens to every session and 3,234 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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