Agent skill · data analytics · aj-geddes
application-logging
Implement structured logging across applications with log aggregation and centralized analysis. Use when setting up application logging, implementing ELK stack, or analyzing application behavior.
Why this skill is useful
Provides specific implementation patterns and configurations for structured logging and ELK stack integration that the AI wouldn't reliably generate on its own.
What it needs
Requires winston installed locally. About 1k tokens when loaded. Last updated 2026-03-04. 307 stars on the source repository.
What this skill does
Application Logging Table of Contents Overview When to Use Quick Start Reference Guides Best Practices Overview Implement comprehensive structured logging with proper levels, context, and centralized aggregation for effective debugging and monitoring. When to Use Application debugging Audit trail creation Performance analysis Compliance requirements Centralized log aggregation Quick Start Minimal working example: Reference Guides Detailed implementations in the references/ directory: Guide Contents --- --- Node.js Structured Logging with Winston Node.js Structured Logging with Winston Express HTTP Request Logging Express HTTP Request Logging Python Structured Logging Python Structured Logging Flask Integration Flask Integration ELK Stack Setup ELK Stack Setup Logstash Configuration Logstash Configuration Best Practices ✅ DO Use structured JSON logging Include request IDs for tracing Log at appropriate levels Add context to error logs Implement log rotation Use timestamps consistently Aggregate logs centrally Filter sensitive data ❌ DON'T Log passwords or secrets Log at INFO for every operation Use unstructured messages Ignore log storage limits Skip context information Log to stdout in production Create unbounded log files
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills aj-geddes/application-logging