Can I customize the alert thresholds?

Yes, you can configure the skill to alert you based on specific thresholds for CPU usage, memory consumption, disk I/O, and connection counts.

Does this skill provide automated fixes?

Yes, the skill is designed to offer automated remediation capabilities for common issues like resource exhaustion and performance degradation.

How do I trigger a database health check?

You can initiate a check using natural language phrases like 'check database health' or by using the shortcut command '/health-check'.

Which databases does the health monitor support?

The Database Health Monitor currently supports production-grade monitoring for both PostgreSQL and MySQL databases.

Database Health Monitor

Name: Database Health Monitor
Author: jeremylongshore

byjeremylongshore

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883

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Analytics & Monitoring

Monitors PostgreSQL and MySQL health using real-time metrics and predictive alerts to ensure optimal performance and uptime.

This skill empowers Claude to act as a proactive site reliability assistant by monitoring the status of PostgreSQL and MySQL databases. It analyzes real-time metrics—including CPU usage, memory consumption, disk I/O, and replication status—against predefined thresholds to identify potential bottlenecks before they impact production. Whether you need an instant health report via the /health-check command or automated remediation for resource exhaustion, this skill provides the deep visibility and actionable insights required to maintain high-availability database environments.

Key Features

01Automated remediation for common performance bottlenecks

02883 GitHub stars

03Predictive alerting for resource exhaustion and anomalies

04Replication status and connection count monitoring

05Real-time performance metrics for PostgreSQL and MySQL

06Comprehensive health reporting with actionable insights

Use Cases

01Debugging replication lag and connection leaks

02Identifying production database performance bottlenecks

03Automating alerts for high CPU or memory utilization

Key Features

01Automated remediation for common performance bottlenecks

02883 GitHub stars

03Predictive alerting for resource exhaustion and anomalies

04Replication status and connection count monitoring

05Real-time performance metrics for PostgreSQL and MySQL

06Comprehensive health reporting with actionable insights

Use Cases

01Debugging replication lag and connection leaks

02Identifying production database performance bottlenecks

03Automating alerts for high CPU or memory utilization