How does it help prevent alert fatigue?

The skill follows best practices for thresholding, helping you set granular alert levels that focus on critical issues rather than every minor error.

Can I integrate this with tools like Grafana or Prometheus?

Yes, the skill is designed to provide implementation patterns for integrating with standard observability stacks like Prometheus, Grafana, and PagerDuty.

How does the skill analyze existing error rates?

Claude uses this skill to inspect logs and error patterns to identify frequency, common failure points, and potential root causes of recurring issues.

Does this work for both frontend and backend?

Absolutely. It analyzes error sources across the entire architecture, including backend services, databases, and client-side code.

What types of errors can this skill monitor?

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

Error Rate Monitor

Name: Error Rate Monitor
Author: jeremylongshore

byjeremylongshore

•

883

Analytics & Monitoring

Monitor and analyze application error rates across the stack to improve reliability and automate incident alerting.

About

This skill empowers Claude to proactively manage application health by identifying error sources across the entire architecture, from HTTP endpoints and database queries to external APIs and background jobs. It automates the configuration of monitoring criteria, establishes specific error thresholds, and sets up real-time alerting to minimize downtime and improve user experience. Whether you are launching a new service or debugging persistent failures in a complex system, this skill provides the observability patterns needed to maintain high reliability and meet error budget goals.

Key Features

Real-time tracking of background job and client-side exceptions
Pattern analysis for identifying root causes of application failures
Multi-source error tracking including HTTP, DB, and API layers
Automated threshold and alert configuration for proactive monitoring
Integration guidance for Prometheus, Grafana, and PagerDuty
883 GitHub stars

Use Cases

Analyzing and debugging high failure rates in asynchronous background job processors
Establishing error budgets and tracking reliability goals for production services
Setting up comprehensive error monitoring for a new web application launch

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jeremylongshore/claude-code-plugins-plus-skills error-rate-monitor

For use in Claude.ai and ChatGPT

Download Skill

GitHub