gookit-slog

Implement structured logging in Go with configurable handlers and formats.

1|Updated Jan 29, 2026
One-click install
npx skills add https://github.com/gookit/skills --skill gookit-slog
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: gookit-slog
Source: https://github.com/gookit/skills/tree/main/gookit-slog
Command: npx skills add https://github.com/gookit/skills --skill gookit-slog

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines logging in Go by providing an easy way to implement structured, extensible, and configurable logs, reducing debugging time and improving system observability.

Core Features & Use Cases

  • Structured Logging: Support for multiple log levels with contextual data and custom formats.
  • Extensibility: Built-in handlers for console, files, rotated logs, and custom integrations.
  • Use Case: Developers can log detailed request data in web servers or microservices to improve monitoring and troubleshooting.

Quick Start

Use the slog library to output structured logs with different levels and custom formats in a Go program.

Frequently Asked Questions about gookit-slog

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I implement structured logging in a Go web server?

Structured logging in a Go web server is enabled by configuring a logger to output contextual data and custom formats, which facilitates debugging, monitoring, and data analysis.

What is the best way to configure JSON log output for Go microservices?

Configuring JSON log output for Go microservices involves using a structured logger that supports flexible output formats and multi-handler support to improve troubleshooting and system observability.

Can I use custom handlers for rotated log files in Go applications?

Yes, you can use custom handlers for rotated log files in Go applications by leveraging built-in handlers for files and custom integrations to manage flexible output formats.

Does structured logging in Go support extendable processors for log data?

Structured logging in Go supports extendable processors to enhance log quality and security, allowing developers to add custom processing logic to their log entries.

Why use structured logging for CLI tools and background jobs?

Using structured logging for CLI tools and background jobs reduces debugging time and improves system observability by providing an easy way to implement extensible and configurable logs.