Does it include testing for the monitoring endpoints?

Yes, the skill is designed to help write integration tests that cover all endpoints, including the newly created monitoring and health check routes.

How do I activate the monitoring features in Claude Code?

You can trigger the skill using natural language commands like 'setup API monitoring', 'add API metrics', or 'monitor the API'.

Does this skill help with API documentation?

Yes, it generates OpenAPI 3.0 specifications along with route definitions, controllers, and middleware logic.

Which backend frameworks are supported for API monitoring?

This skill supports a variety of popular frameworks including Express.js, Fastify, Flask, FastAPI, Spring Boot, and Go (Gin/Echo).

Can I automate alert setup with this skill?

Yes, the skill helps you plan and implement error handling, validation strategies, and alert triggers to notify you of downtime or performance drops.

API Monitoring Dashboard

Name: API Monitoring Dashboard
Author: jeremylongshore

byjeremylongshore

•

983

분석 및 모니터링

Builds real-time API monitoring dashboards with metrics, automated alerts, and comprehensive health checks for production services.

소개

The Monitoring APIs skill streamlines the process of implementing observability into your backend services. It automates the creation of performance-tracking dashboards, configures real-time metrics, and sets up robust health check systems to ensure high availability. By guiding developers through resource modeling, middleware integration, and alert planning, this skill ensures that API health and performance are monitored systematically across frameworks like Express, FastAPI, and Spring Boot.

주요 기능

Real-time tracking for API latency, performance, and health metrics
Integration of monitoring middleware for logging and request validation
Generation of health check endpoints and alert configuration logic
Automated scaffolding for monitoring dashboards and observability tools
983 GitHub stars
Support for OpenAPI 3.0 documentation and multi-framework implementations

사용 사례

Adding observability and performance metrics to a production-grade REST API
Improving API reliability through real-time monitoring and logging middleware
Setting up automated health checks and alerts for microservices

소개

주요 기능

Real-time tracking for API latency, performance, and health metrics
Integration of monitoring middleware for logging and request validation
Generation of health check endpoints and alert configuration logic
Automated scaffolding for monitoring dashboards and observability tools
983 GitHub stars
Support for OpenAPI 3.0 documentation and multi-framework implementations

사용 사례

Adding observability and performance metrics to a production-grade REST API
Improving API reliability through real-time monitoring and logging middleware
Setting up automated health checks and alerts for microservices