Agent skill
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.
Install this agent skill to your Project
npx add-skill https://github.com/aj-geddes/useful-ai-prompts/tree/main/skills/application-logging
SKILL.md
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:
// 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
Recommended Agent Skills
Expand your agent's capabilities with these related and highly-rated skills.
websocket-implementation
Implement real-time bidirectional communication with WebSockets including connection management, message routing, and scaling. Use when building real-time features, chat systems, live notifications, or collaborative applications.
refactor-legacy-code
Modernize and improve legacy codebases while maintaining functionality. Use when you need to refactor old code, reduce technical debt, modernize deprecated patterns, or improve code maintainability without breaking existing behavior.
Sentiment Analysis
Classify text sentiment using NLP techniques, lexicon-based analysis, and machine learning for opinion mining, brand monitoring, and customer feedback analysis
flask-api-development
Develop lightweight Flask APIs with routing, blueprints, database integration, authentication, and request/response handling. Use when building RESTful APIs, microservices, or lightweight web services with Flask.
ML Model Explanation
Interpret machine learning models using SHAP, LIME, feature importance, partial dependence, and attention visualization for explainability
Statistical Hypothesis Testing
Conduct statistical tests including t-tests, chi-square, ANOVA, and p-value analysis for statistical significance, hypothesis validation, and A/B testing
Didn't find tool you were looking for?