Agent skill · marketing growth · jeremylongshore

creating-alerting-rules

Execute this skill enables AI assistant to create intelligent alerting

Why this skill is useful

Adds specific configurations and thresholds for alerting rules in Prometheus, Grafana, and PagerDuty that the AI wouldn't reliably generate on its own.

What it needs

About 2k tokens when loaded. Last updated 2026-08-07. 2,604 stars on the source repository.

What this skill does

Alerting Rule Creator Create production-ready alerting rules for Prometheus, Grafana, and PagerDuty with intelligent thresholds, routing policies, and escalation procedures. Overview This skill automates the creation of comprehensive alerting rules, reducing the manual effort required for performance monitoring. It guides you through defining alert categories, setting intelligent thresholds, and configuring routing and escalation policies. The skill also helps generate runbooks and establish alert testing procedures. How It Works 1. Identify Alert Category: Determines the type of alert to create (e.g., latency, error rate, resource utilization). 2. Define Thresholds: Sets appropriate thresholds to avoid alert fatigue and ensure timely notification of performance issues. 3. Configure Routing and Escalation: Establishes routing policies to direct alerts to the appropriate teams and escalation policies for timely response. 4. Generate Runbook: Creates a basic runbook with steps to diagnose and resolve the alerted issue. When to Use This Skill This skill activates when you need to: Implement performance monitoring for a new service. Refine existing alerting rules to reduce false positives. Create alerts for specific performance metrics, such as latency or error rate. Examples Example 1: Setting up Latency Alerts User request: "create latency alerts for the payment service" The skill will: 1. Prompt for latency thresholds (e.g., warning and critical). 2. Configure alerts to trigger when latency exceeds defined thresholds. Example 2: Creating Error Rate Alerts User request: "set up alerting for error rate increases in the API gateway" The skill will: 1. Request the baseline error rate and acceptable deviation. 2. Configure alerts to trigger when the error rate exceeds the defined deviation from the baseline. Best Practices Threshold Selection: Use historical data and statistical analysis to determine appropriate thresholds that minimize false positives and negatives. …

How to use it

Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:

@skills jeremylongshore/creating-alerting-rules

View the source on GitHub

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