What is the benefit of the Context-Aware Logger feature?

It uses Node.js AsyncLocalStorage to automatically attach request context (like requestId or userId) to every log message without manually passing objects through every function.

Does this skill help with database performance?

Yes, it includes specific patterns for Prisma to log queries and automatically trigger warnings when slow queries (e.g., >100ms) are detected.

Which logging libraries are supported by this skill?

The skill provides production-ready configurations and patterns for both Pino and Winston, allowing you to choose the library that best fits your project.

How does it handle sensitive information in logs?

It includes predefined redaction paths for common sensitive fields like passwords, tokens, authorization headers, and cookies to prevent data leaks.

Can I use this for microservices?

Absolutely. The distributed tracing section using OpenTelemetry is specifically designed to track requests as they move across different services in a microservice architecture.

Logging & Observability Patterns

Name: Logging & Observability Patterns
Author: antoineschaller

byantoineschaller

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Analytics & Monitoring

Implements production-grade structured logging, metrics, and distributed tracing patterns for robust application monitoring.

This skill provides a comprehensive toolkit for implementing professional observability in modern Node.js applications. It offers standardized patterns for structured logging using Pino or Winston, including sensitive data redaction and context-aware logging via AsyncLocalStorage. Beyond simple logs, it includes ready-to-use configurations for Prometheus metrics and OpenTelemetry tracing, enabling you to track request flow, monitor database performance, and detect slow queries. It's ideal for developers looking to move from basic console logs to a production-ready observability stack that integrates with tools like Datadog, Grafana, and New Relic.

Key Features

01Prometheus-compatible metrics for request counters and duration histograms

02OpenTelemetry integration for distributed tracing and manual span management

03Context propagation using AsyncLocalStorage for request-id tracking

041 GitHub stars

05Structured logging templates for Pino and Winston with built-in redaction

06Pre-configured logging patterns for API routes, services, and Prisma queries

Use Cases

01Setting up performance monitoring and alerts for slow database queries or API endpoints

02Standardizing logging formats across microservices for centralized log management

03Debugging complex production issues using request-id and trace-id correlation

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add antoineschaller/cortex-skills logging-patterns

For use in Claude.ai and ChatGPT

Download Skill