What metrics can this skill monitor?

It supports a wide range of metrics including latency, error rates, throughput, resource utilization, availability, and SLO violations.

How does this skill help reduce alert fatigue?

It uses historical data and statistical analysis to suggest intelligent thresholds that minimize false positives and ensure alerts only trigger for genuine issues.

Does it create documentation for incidents?

Yes, it automatically generates basic runbooks that provide clear, step-by-step instructions for diagnosing and resolving the specific issue alerted.

How do I trigger the Alerting Rule Creator?

You can activate it using natural language commands in Claude Code such as 'create alerts', 'define monitoring rules', or 'set up alerting' for a specific service.

Alerting Rule Creator

Name: Alerting Rule Creator
Author: intent-solutions-io

byintent-solutions-io

Analytics & Monitoring

Automates the configuration of intelligent monitoring alerts, escalation policies, and diagnostic runbooks for system observability.

About

The alerting-rule-creator skill empowers SREs and DevOps teams to automate the setup of comprehensive performance monitoring. By analyzing historical baselines and performance metrics like latency, error rates, and resource utilization, it helps define intelligent thresholds that minimize alert fatigue. Beyond simple alerts, it configures sophisticated routing and escalation policies and generates diagnostic runbooks, ensuring that incident response is proactive, organized, and well-documented from the moment a service is deployed.

Key Features

Comprehensive diagnostic runbook generation
Intelligent threshold definition based on historical baselines
Multi-category support for latency, error rate, and throughput
0 GitHub stars
Automated routing and escalation policy configuration
Reduced alert fatigue through statistical threshold analysis

Use Cases

Refining noisy alerts to reduce false positives in production
Creating standardized incident response documentation for DevOps teams
Establishing SLI/SLO monitoring for a new microservice

About

Key Features

Comprehensive diagnostic runbook generation
Intelligent threshold definition based on historical baselines
Multi-category support for latency, error rate, and throughput
0 GitHub stars
Automated routing and escalation policy configuration
Reduced alert fatigue through statistical threshold analysis

Use Cases

Refining noisy alerts to reduce false positives in production
Creating standardized incident response documentation for DevOps teams
Establishing SLI/SLO monitoring for a new microservice