golang-performance

Golang performance optimization patterns and methodology - if X bottleneck, then apply Y. Covers allocation reduction, CPU efficiency, memory layout, GC tuning, pooling, caching, and hot-path optimization. Use when profiling or benchmarks have identified a bottleneck and you need the right optimization pattern to fix it. Also use when performing performance code review to suggest improvements or benchmarks that could help identify quick performance gains. Not for measurement methodology (→ See `samber/cc-skills-golang@golang-benchmark` skill) or debugging workflow (→ See `samber/cc-skills-golang@golang-troubleshooting` skill).

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Repositório: aldoborrero/flycast-romm
Última atividade na origem: 26 de agosto de 2026 às 17:24
Idioma detectado do SKILL.md: inglês
Estrelas: 1
Forks: 0

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npx skills add https://github.com/aldoborrero/flycast-romm --skill golang-performance

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SKILL.md

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golang-concurrency

Golang concurrency patterns. Use when writing or reviewing concurrent Go code involving goroutines, channels, select, locks, sync primitives, errgroup, singleflight, worker pools, or fan-out/fan-in pipelines. Also triggers when you detect goroutine leaks, race conditions, channel ownership issues, or need to choose between channels and mutexes.

2026-08-26

golang-context

Idiomatic context.Context usage in Golang — propagation through API boundaries, cancellation, timeouts and deadlines, request-scoped values, context.WithoutCancel for background work outliving requests. Apply when designing context propagation across layers, debugging leaked or unexpired contexts, choosing between context.Background/TODO/WithoutCancel, or storing values in context. Not for code that merely accepts ctx as first parameter.

2026-08-26

golang-error-handling

Idiomatic Golang error handling — creation, wrapping with %w, errors.Is/As, errors.Join, custom error types, sentinel errors, panic/recover, the single handling rule, structured logging with slog, HTTP request logging middleware, and samber/oops for production errors. Built to make logs usable at scale with log aggregation 3rd-party tools. Apply when creating, wrapping, inspecting, or logging errors in Go code. For samber/oops specifics → See `samber/cc-skills-golang@golang-samber-oops` skill; for slog handler ecosystem → See `samber/cc-skills-golang@golang-samber-slog` skill.

2026-08-26

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Go Performance Optimization

Core Philosophy

Profile before optimizing — intuition about bottlenecks is wrong ~80% of the time. Use pprof to find actual hot spots (→ See samber/cc-skills-golang@golang-troubleshooting skill)

Allocation reduction yields the biggest ROI — Go's GC is fast but not free. Reducing allocations per request often matters more than micro-optimizing CPU

Document optimizations — add code comments explaining why a pattern is faster, with benchmark numbers when available. Future readers need context to avoid reverting an "unnecessary" optimization

Rule Out External Bottlenecks First

Before optimizing Go code, verify the bottleneck is in your process — if 90% of latency is a slow DB query or API call, reducing allocations won't help.

Diagnose: 1- — captures on-CPU and off-CPU (I/O wait) time; if off-CPU dominates, the bottleneck is external 2- (goroutine profile) — many goroutines blocked in or = external wait 3- Distributed tracing (OpenTelemetry) — span breakdown shows which upstream is slow

Go Performance Optimization

Core Philosophy

Profile before optimizing — intuition about bottlenecks is wrong ~80% of the time. Use pprof to find actual hot spots (→ See samber/cc-skills-golang@golang-troubleshooting skill)

Allocation reduction yields the biggest ROI — Go's GC is fast but not free. Reducing allocations per request often matters more than micro-optimizing CPU

Rule Out External Bottlenecks First

Before optimizing Go code, verify the bottleneck is in your process — if 90% of latency is a slow DB query or API call, reducing allocations won't help.

name	golang-performance
description	Golang performance optimization patterns and methodology - if X bottleneck, then apply Y. Covers allocation reduction, CPU efficiency, memory layout, GC tuning, pooling, caching, and hot-path optimization. Use when profiling or benchmarks have identified a bottleneck and you need the right optimization pattern to fix it. Also use when performing performance code review to suggest improvements or benchmarks that could help identify quick performance gains. Not for measurement methodology (→ See `samber/cc-skills-golang@golang-benchmark` skill) or debugging workflow (→ See `samber/cc-skills-golang@golang-troubleshooting` skill).
user-invocable	true
license	MIT
compatibility	Designed for Claude Code, Codex or similar harness, and for projects using Golang.
metadata	{"author":"samber","version":"1.3.0","openclaw":{"emoji":"🏎","homepage":"https://github.com/samber/cc-skills-golang","requires":{"bins":"[Truncated]"},"install":["[Truncated]"]}}
allowed-tools	Read Edit Write Glob Grep Bash(go:) Bash(golangci-lint:) Bash(git:) Agent WebFetch Bash(benchstat:) Bash(fieldalignment:) Bash(staticcheck:) Bash(curl:) Bash(fgprof:) Bash(perf:*) WebSearch AskUserQuestion EnterWorktree ExitWorktree
paths	["*/.go"]

name	golang-performance
description	Golang performance optimization patterns and methodology - if X bottleneck, then apply Y. Covers allocation reduction, CPU efficiency, memory layout, GC tuning, pooling, caching, and hot-path optimization. Use when profiling or benchmarks have identified a bottleneck and you need the right optimization pattern to fix it. Also use when performing performance code review to suggest improvements or benchmarks that could help identify quick performance gains. Not for measurement methodology (→ See `samber/cc-skills-golang@golang-benchmark` skill) or debugging workflow (→ See `samber/cc-skills-golang@golang-troubleshooting` skill).
user-invocable	true
license	MIT
compatibility	Designed for Claude Code, Codex or similar harness, and for projects using Golang.
metadata	{"author":"samber","version":"1.3.0","openclaw":{"emoji":"🏎","homepage":"https://github.com/samber/cc-skills-golang","requires":{"bins":"[Truncated]"},"install":["[Truncated]"]}}
allowed-tools	Read Edit Write Glob Grep Bash(go:) Bash(golangci-lint:) Bash(git:) Agent WebFetch Bash(benchstat:) Bash(fieldalignment:) Bash(staticcheck:) Bash(curl:) Bash(fgprof:) Bash(perf:*) WebSearch AskUserQuestion EnterWorktree ExitWorktree
paths	["*/.go"]

Bottleneck	Signal (from pprof)	Action
Too many allocations	`alloc_objects` high in heap profile	Memory optimization
CPU-bound hot loop	function dominates CPU profile	CPU optimization
GC pauses / OOM	high GC%, container limits	Runtime tuning
Network / I/O latency	goroutines blocked on I/O	I/O & networking
Repeated expensive work	same computation/fetch multiple times	Caching patterns
Wrong algorithm	O(n²) where O(n) exists	Algorithmic complexity
Lock contention	mutex/block profile hot	→ See `samber/cc-skills-golang@golang-concurrency` skill
Slow queries	DB time dominates traces	→ See `samber/cc-skills-golang@golang-database` skill

Mistake	Fix
Optimizing without profiling	Profile with pprof first — intuition is wrong ~80% of the time
Default `http.Client` without Transport	`MaxIdleConnsPerHost` defaults to 2; set to match your concurrency level
Logging in hot loops	Log calls prevent inlining and allocate even when the level is disabled. Use `slog.LogAttrs`
`panic`/`recover` as control flow	panic allocates a stack trace and unwinds the stack; use error returns
`unsafe` without benchmark proof	Only justified when profiling shows >10% improvement in a verified hot path
No GC tuning in containers	Set `GOMEMLIMIT` to 80-90% of container memory to prevent OOM kills
`reflect.DeepEqual` in production	50-200x slower than typed comparison; use `slices.Equal`, `maps.Equal`, `bytes.Equal`

golang-performance

Opções de instalação

Revise os arquivos de origem

Go Performance Optimization

Core Philosophy

Rule Out External Bottlenecks First

Go Performance Optimization

Core Philosophy

Rule Out External Bottlenecks First

Iterative Optimization Methodology

The cycle: Define Goals → Benchmark → Diagnose → Improve → Benchmark

Decision Tree: Where Is Time Spent?

Common Mistakes

Deep Dives

CI Regression Detection

Cross-References

golang-performance

Informações da origem

Opções de instalação

Revise os arquivos de origem

Mais deste repositório

Mais deste repositório

Go Performance Optimization

Core Philosophy

Rule Out External Bottlenecks First

Go Performance Optimization

Core Philosophy

Rule Out External Bottlenecks First

Iterative Optimization Methodology

The cycle: Define Goals → Benchmark → Diagnose → Improve → Benchmark

Decision Tree: Where Is Time Spent?

Common Mistakes

Deep Dives

CI Regression Detection

Cross-References