Why use Pino instead of Winston for Node.js logging?

Pino is significantly faster (up to 5x) with much lower CPU and memory overhead because it processes logging asynchronously and avoids expensive string templates, making it ideal for high-throughput production environments.

What is the benefit of child loggers?

Child loggers allow you to create a logger instance that inherits metadata from its parent. This is perfect for attaching a request ID or user ID once and having it automatically included in every log statement for that operation.

Can I use this with Next.js or serverless functions?

Absolutely. The skill includes specific patterns for Next.js middleware and Vercel environments, including how to handle log drains and correlation IDs in serverless contexts.

Does this skill handle sensitive data security?

Yes, it includes pre-configured redaction patterns for common sensitive fields like passwords, API keys, and authorization tokens to prevent PII and secrets from being stored in your log management system.

Structured Logging (Pino)

Name: Structured Logging (Pino)
Author: phrazzld

byphrazzld

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分析と監視

Implements high-performance, production-ready structured logging in Node.js applications using Pino and JSON formatting.

This skill provides a comprehensive framework for implementing structured logging in Node.js and TypeScript environments. By utilizing Pino, it ensures minimal performance overhead while generating machine-readable JSON logs that are easy to query and analyze in production. It covers essential observability best practices including context-rich child loggers, automatic redaction of sensitive PII, correlation ID propagation for request tracing, and seamless integration with modern log aggregation platforms like Datadog, Graylog, and Vercel.

主な機能

012 GitHub stars

02Correlation ID implementation for end-to-end request tracking across services

03Context-rich child loggers for seamless request and user tracing

04High-performance JSON logging with Pino (5x faster than Winston)

05Automatic sensitive data redaction (PII, tokens, passwords, secrets)

06Standardized log levels and ISO 8601 timestamping configuration

ユースケース

01Setting up production-grade logging for Express, Next.js, or Fastify APIs

02Debugging complex distributed systems using correlation IDs and request context

03Ensuring security compliance by automatically redacting sensitive data from application logs

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add phrazzld/claude-config structured-logging

For use in Claude.ai and ChatGPT

Download Skill