Agent skill · data analytics · jeremylongshore
monitoring-error-rates
Monitor and analyze application error rates to improve reliability. Use
Why this skill is useful
Adds specific monitoring criteria and alerting configurations for error rates that the AI wouldn't reliably generate on its own.
What it needs
Requires grafana, prometheus installed locally. About 3k tokens when loaded. Last updated 2026-08-07. 2,604 stars on the source repository.
What this skill does
Error Rate Monitor Monitor and analyze application error rates across HTTP endpoints, database queries, external APIs, and background jobs with threshold-based alerting and error budget tracking. Overview This skill automates the process of setting up comprehensive error monitoring and alerting for various components of an application. It helps identify, track, and analyze different types of errors, enabling proactive identification and resolution of issues before they impact users. How It Works 1. Analyze Error Sources: Identifies potential error sources within the application architecture, including HTTP endpoints, database queries, external APIs, background jobs, and client-side code. 2. Define Monitoring Criteria: Establishes specific error types and thresholds for each source, such as HTTP status codes (4xx, 5xx), exception types, query timeouts, and API response failures. 3. Configure Alerting: Sets up alerts to trigger when error rates exceed defined thresholds, notifying relevant teams or individuals for investigation and remediation. When to Use This Skill This skill activates when you need to: Set up error monitoring for a new application. Analyze existing error rates and identify areas for improvement. Configure alerts to be notified of critical errors in real-time. Establish error budgets and track progress towards reliability goals. Examples Example 1: Setting up Error Monitoring for a Web Application User request: "Monitor errors in my web application, especially 500 errors and database connection issues." The skill will: 1. Analyze the web application's architecture to identify potential error sources (e.g., HTTP endpoints, database connections). 2. Configure monitoring for 500 errors and database connection failures, setting appropriate thresholds and alerts. Example 2: Analyzing Error Rates in a Background Job Processor User request: "Analyze error rates for my background job processor. I'm seeing a lot of failed jobs." The skill will: 1. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills jeremylongshore/monitoring-error-rates