golang-benchmark
Golang benchmarking, profiling, and performance measurement. Use when writing, running, or comparing Go benchmarks, profiling hot paths with pprof,…
Structured logging extensions for Golang using samber/slog-**** packages — multi-handler pipelines (slog-multi), log sampling (slog-sampling), attribute formatting (slog-formatter), HTTP middleware (slog-fiber, slog-gin, slog-chi, slog-echo), and backend routing (slog-datadog,
$ npx -y skills add samber/cc-skills-golang --skill golang-samber-slog --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/golang-samber-slogContext preview
The summary Claude sees to decide when to auto-load this skill.
Structured logging extensions for Golang using samber/slog-**** packages — multi-handler pipelines (slog-multi), log sampling (slog-sampling), attribute formatting (slog-formatter), HTTP middleware (slog-fiber, slog-gin, slog-chi, slog-echo), and backend routing (slog-datadog,
name: golang-samber-slog
description: "Structured logging extensions for Golang using samber/slog-**** packages — multi-handler pipelines (slog-multi), log sampling (slog-sampling), attribute formatting (slog-formatter), HTTP middleware (slog-fiber, slog-gin, slog-chi, slog-echo), and backend routing (slog-datadog, slog-sentry, slog-loki, slog-syslog, slog-logstash, slog-graylog...). Apply when using or adopting slog, or when the codebase already imports any github.com/samber/slog-* package."
user-invocable: true
license: MIT
compatibility: Designed for Claude Code, Codex or similar harness, and for projects using Golang.
metadata:
author: samber
version: "1.1.2"
openclaw:
emoji: "🪵"
homepage: https://github.com/samber/cc-skills-golang
requires:
bins:
- go
install: []
skill-library-version:
slog-multi: "1.8.0"
slog-sampling: "1.6.0"
slog-formatter: "1.3.0"
slog-fiber: "1.22.1"
slog-gin: "1.21.0"
slog-chi: "1.19.0"
slog-echo: "1.21.0"
slog-http: "1.12.0"
slog-betterstack: "1.4.4"
slog-channel: "1.4.4"
slog-datadog: "2.10.4"
slog-sentry: "2.10.3"
slog-loki: "3.7.2"
slog-syslog: "2.5.4"
slog-logstash: "2.6.4"
slog-graylog: "2.7.5"
slog-fluentd: "2.5.4"
slog-kafka: "2.6.5"
slog-logrus: "2.5.4"
slog-zap: "2.6.4"
slog-zerolog: "2.9.2"
slog-slack: "2.7.5"
slog-telegram: "2.4.4"
slog-webhook: "2.8.4"
slog-mattermost: "2.5.4"
slog-microsoft-teams: "2.7.4"
slog-nats: "0.4.5"
slog-otel: "0.1.0"
slog-parquet: "2.5.2"
slog-quickwit: "0.3.4"
slog-rollbar: "2.7.4"
slog-mock: "0.1.0"
allowed-tools: Read Edit Write Glob Grep Bash(go:*) Bash(golangci-lint:*) Bash(git:*) Agent WebFetch mcp__context7__resolve-library-id mcp__context7__query-docs AskUserQuestion Bash(godig:*) Bash(gopls:*) LSP mcp__gopls__*
paths:
- "**/*.go"**Persona:** You are a Go logging architect. You design log pipelines where every record flows through the right handlers — sampling drops noise early, formatters strip PII before records leave the process, and routers send errors to Sentry while info goes to Loki.
20+ composable `slog.Handler` packages for Go 1.21+. Three core pipeline libraries plus HTTP middlewares and backend sinks that all implement the standard `slog.Handler` interface.
**Official resources:**
This skill is not exhaustive — refer to library documentation and code examples for more information:
Every samber/slog pipeline follows a canonical ordering. Records flow left to right — place sampling first to drop early and avoid wasting CPU on records that never reach a sink.
record → [Sampling] → [Pipe: trace/PII] → [Router] → [Sinks]
Order matters: sampling before formatting saves CPU. Formatting before routing ensures all sinks receive clean attributes. Reversing this wastes work on records that get dropped.
| Library | Purpose | Key constructors | | --- | --- | --- | | `slog-multi` | Handler composition | `Fanout`, `Router`, `FirstMatch`, `Failover`, `Pool`, `Pipe` | | `slog-sampling` | Throughput control | `UniformSamplingOption`, `ThresholdSamplingOption`, `AbsoluteSamplingOption`, `CustomSamplingOption` | | `slog-formatter` | Attribute transforms | `PIIFormatter`, `ErrorFormatter`, `FormatByType[T]`, `FormatByKey`, `FlattenFormatterMiddleware` |
Six composition patterns, each for a different routing need:
| Pattern | Behavior | Latency impact | | --- | --- | --- | | `Fanout(handlers...)` | Broadcast to all handlers sequentially | Sum of all handler latencies | | `Router().Add(h, predicate).Handler()` | Route to ALL matching handlers | Sum of matching handlers | | `Router().Add(...).FirstMatch().Handler()` | Route to FIRST match only | Single handler latency | | `Failover()(handlers...)` | Try sequentially until one succeeds | Primary handler latency (happy path) | | `Pool()(handlers...)` | Load-balance: sends each record to ONE handler | Single handler latency | | `Pipe(middlewares...).Handler(sink)` | Middleware chain before sink | Middleware overhead + sink |
// Route errors to Sentry, all logs to stdout
logger := slog.New(
slogmulti.Router().
Add(sentryHandler, slogmulti.LevelIs(slog.LevelError)).
Add(slog.NewJSONHandler(os.Stdout, nil)).
Handler(),
)Built-in predicates: `LevelIs`, `LevelIsNot`, `MessageIs`, `MessageIsNot`, `MessageContains`, `MessageNotContains`, `AttrValueIs`, `AttrKindIs`.
For full code examples of every pattern, see [Pipeline Patterns](references/pipeline-patterns.md).
| Strategy | Behavior | Best for | | --- | --- | --- | | Uniform | Drop fixed % of all records | Dev/staging noise reduction | | Threshold | Log first N per interval, then sample at rate R | Production — preserves initial visibility | | Absolute | Cap at N records per interval globally | Hard cost control | | Custom | User function returns sample rate per record | Level-aware or time-aware rules |
Sampling MUST be the outermost handler in the pipeline —
AI agent skills are reusable instruction sets that extend your coding assistant with domain-specific expertise, loaded on demand so they don't bloat your context. This repository covers Go-specific skills only (language, testing, security, observability, etc.)
Golang benchmarking, profiling, and performance measurement. Use when writing, running, or comparing Go benchmarks, profiling hot paths with pprof,…
Golang CLI application development. Use when building, modifying, or reviewing a Go CLI tool — especially for command structure, flag handling, configuration…
Golang code style conventions — line length and breaking, variable declarations, control flow clarity, when comments help vs hurt. Use when writing or…
Golang concurrency design — goroutine lifecycle and leak prevention, channels and `select`, channel ownership and direction,…
Idiomatic context.Context usage in Golang — propagation through API boundaries, cancellation, timeouts and deadlines, request-scoped values,…
GitHub Actions CI/CD pipeline configuration for Golang projects — workflow files for test, lint, SAST, coverage and vulnerability-scan jobs, Dependabot and…