How does it help with alert fatigue?

The skill follows best practices by establishing granular monitoring and specific thresholds, ensuring you only receive alerts for critical issues that require immediate attention.

Can I use this with tools like Prometheus or PagerDuty?

Yes, the skill is designed to integrate with standard monitoring and alerting stacks including Prometheus, Grafana, and PagerDuty for a unified view of application health.

When is the best time to use the Monitoring Error Rates skill?

Activate this skill when setting up a new application, investigating a spike in failures, or when you need to establish formal error budgets and reliability goals.

What types of errors can this Claude Code skill monitor?

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

Error Rate Monitoring & Analysis

Name: Error Rate Monitoring & Analysis
Author: jeremylongshore

byjeremylongshore

•

883

分析と監視

Monitors and analyzes application error rates across diverse sources to improve system reliability and automate incident alerting.

概要

This skill automates the configuration and analysis of comprehensive error monitoring for modern applications. By identifying potential failure points in HTTP endpoints, databases, external APIs, and background processors, it helps developers establish robust observability. It provides the logic needed to define specific error thresholds, set up real-time alerts, and analyze error patterns to identify root causes before they impact the user experience, making it an essential tool for maintaining high availability and site reliability.

主な機能

Comprehensive cross-stack error source identification
Integration-ready logic for Prometheus and Grafana workflows
Automated threshold-based alerting configuration
Granular tracking for HTTP, Database, and API exceptions
Pattern analysis for background job and task failures
883 GitHub stars

ユースケース

Establishing error budgets and proactive alerting for critical production APIs
Analyzing failure frequency and patterns in background job processors to debug resource exhaustion
Setting up real-time monitoring for 500 errors and database connection failures in new web applications

概要

主な機能

Comprehensive cross-stack error source identification
Integration-ready logic for Prometheus and Grafana workflows
Automated threshold-based alerting configuration
Granular tracking for HTTP, Database, and API exceptions
Pattern analysis for background job and task failures
883 GitHub stars

ユースケース

Establishing error budgets and proactive alerting for critical production APIs
Analyzing failure frequency and patterns in background job processors to debug resource exhaustion
Setting up real-time monitoring for 500 errors and database connection failures in new web applications