What types of errors can this skill monitor?

It can monitor a wide range of errors including HTTP 4xx/5xx status codes, database connection failures, external API timeouts, background job crashes, and client-side exceptions.

How does it help with 'alert fatigue'?

The skill follows best practices for thresholding and granularity, ensuring that alerts are meaningful and actionable rather than triggering for every minor fluctuation.

Does this skill help with alerting?

Yes, it helps define specific error types and thresholds to set up automated alerts, ensuring the right team is notified when error rates exceed safe levels.

Can I integrate this with my existing stack?

Absolutely. This skill is designed to integrate with popular monitoring and incident management tools like Prometheus, Grafana, and PagerDuty.

Error Rate Monitoring & Analysis

Name: Error Rate Monitoring & Analysis
Author: BbgnsurfTech

byBbgnsurfTech

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分析与监控

Monitors and analyzes application error rates across HTTP endpoints, databases, and background jobs to improve system reliability.

关于

This skill empowers Claude to establish comprehensive error tracking and observability systems, allowing developers to identify, categorize, and analyze failures across the entire application stack. By defining specific thresholds for HTTP status codes, database timeouts, and external API failures, it automates the creation of alerting mechanisms and error budgets. This proactive approach ensures that developers can identify and resolve issues before they impact end-users, maintaining high availability and performance.

主要功能

Multi-source error tracking for HTTP, DB, and APIs
Real-time monitoring for client-side and server-side exceptions
Automated alerting threshold configuration
Root cause pattern analysis for background jobs
Integration with Prometheus and Grafana
3 GitHub stars

使用场景

Establishing real-time alerts for critical API response failures and timeouts
Setting up 500-error and database connection monitoring for new web services
Diagnosing and analyzing failed background job patterns in production environments

关于

主要功能

Multi-source error tracking for HTTP, DB, and APIs
Real-time monitoring for client-side and server-side exceptions
Automated alerting threshold configuration
Root cause pattern analysis for background jobs
Integration with Prometheus and Grafana
3 GitHub stars

使用场景

Establishing real-time alerts for critical API response failures and timeouts
Setting up 500-error and database connection monitoring for new web services
Diagnosing and analyzing failed background job patterns in production environments