What metrics monitoring methods are included?

The skill implements the RED (Rate, Errors, Duration) method for services and the USE (Utilization, Saturation, Errors) method for resources using the Prometheus client library.

Can I use this for Kubernetes health probes?

Yes, it includes specific implementation patterns for /healthz (liveness) and /readyz (readiness) endpoints to ensure compatibility with orchestrators like Kubernetes.

How does it handle distributed tracing?

It provides standardized patterns for OpenTelemetry integration, including span creation, attribute tagging, and context propagation to track requests across service boundaries.

Does this skill require external logging libraries like Zap or Logrus?

No, this skill prioritizes the Go standard library's log/slog package to minimize dependencies while providing high-performance, structured logging capabilities.

Go Service Observability

Name: Go Service Observability
Author: deandum

bydeandum

0•

分析と監視

Implements structured logging, metrics, and distributed tracing patterns for Go microservices using industry standards.

This skill provides specialized guidance for instrumenting Go applications with robust observability patterns. It leverages the standard library's log/slog for high-performance structured logging, integrates Prometheus for RED and USE method metrics, and sets up OpenTelemetry for distributed tracing. By following these implementation patterns, developers can ensure their services are production-ready with standardized health checks, correlation ID propagation, and actionable telemetry that simplifies debugging in distributed environments.

主な機能

01Distributed tracing setup with OpenTelemetry and context propagation

02Standardized health and readiness check patterns for containerized services

030 GitHub stars

04RED and USE method metrics instrumentation using Prometheus

05Correlation ID management for request tracking across microservices

06Structured logging implementation using the Go log/slog standard library

ユースケース

01Adding performance monitoring and latency histograms to Go web servers

02Modernizing legacy Go logging to structured JSON formats for ELK or Loki stacks

03Troubleshooting complex request flows across multiple distributed Go services

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add deandum/go-claude-resources go-observability

For use in Claude.ai and ChatGPT

主な機能

01Distributed tracing setup with OpenTelemetry and context propagation

02Standardized health and readiness check patterns for containerized services

030 GitHub stars

04RED and USE method metrics instrumentation using Prometheus

05Correlation ID management for request tracking across microservices

06Structured logging implementation using the Go log/slog standard library

ユースケース

01Adding performance monitoring and latency histograms to Go web servers

02Modernizing legacy Go logging to structured JSON formats for ELK or Loki stacks

03Troubleshooting complex request flows across multiple distributed Go services

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add deandum/go-claude-resources go-observability

For use in Claude.ai and ChatGPT