Application logging

Skill ulpi-io/plugin-marketplace/plugins/aj-geddes/skills/application-logging

A curated collection of 7,800+ agent skills for Claude Desktop, sourced from skills.sh

Install

npx -y skills add ulpi-io/plugin-marketplace --skill application-logging

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What its author says it does

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Implement structured logging across applications with log aggregation and centralized analysis. Use when setting up application logging, implementing ELK stack, or analyzing application behavior.

SKILL.md

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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:

// logger.js
const winston = require("winston");

const logFormat = winston.format.combine(
  winston.format.timestamp({ format: "YYYY-MM-DD HH:mm:ss" }),
  winston.format.errors({ stack: true }),
  winston.format.json(),
);

const logger = winston.createLogger({
  level: process.env.LOG_LEVEL || "info",
  format: logFormat,
  defaultMeta: {
    service: "api-service",
    environment: process.env.NODE_ENV || "development",
  },
  transports: [
    new winston.transports.Console({
      format: winston.format.combine(
        winston.format.colorize(),
        winston.format.simple(),
      ),
    }),
    new winston.transports.File({
      filename: "logs/error.log",
// ... (see reference guides for full implementation)

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