Which databases does this skill support?

This skill is specifically designed for production-grade monitoring of PostgreSQL and MySQL databases.

How do I trigger a health check?

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

Can I set custom alert thresholds?

Yes, you can customize alert thresholds for CPU usage, memory consumption, and connection counts to match your specific application needs.

Does this skill provide remediation steps?

Yes, the skill analyzes metrics against historical data to provide a health report detailing issues and recommended remediation steps.

Database Health Monitor

Name: Database Health Monitor
Author: jeremylongshore

byjeremylongshore

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883

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Analytics & Monitoring

Monitors real-time performance metrics and provides predictive alerts for PostgreSQL and MySQL database environments.

The Database Health Monitor skill empowers Claude to proactively manage production-grade databases through real-time metrics, predictive alerting, and automated remediation. It provides deep visibility into PostgreSQL and MySQL environments by tracking CPU usage, memory consumption, disk I/O, connection counts, and replication status, allowing developers to identify bottlenecks and resolve performance issues before they impact end users. With built-in support for the /health-check command, it streamlines database observability directly within your AI-assisted workflow.

Key Features

01Real-time performance metrics for PostgreSQL and MySQL

02Comprehensive health reporting with /health-check command

03Automated remediation suggestions for common database issues

04883 GitHub stars

05Predictive alerting for resource exhaustion and anomalies

06Deep analysis of query performance and replication status

Use Cases

01Diagnosing slow queries and resource bottlenecks in real-time

02Proactively monitoring production database health and uptime

03Automating database alerts and remediation workflows

Key Features

01Real-time performance metrics for PostgreSQL and MySQL

02Comprehensive health reporting with /health-check command

03Automated remediation suggestions for common database issues

04883 GitHub stars

05Predictive alerting for resource exhaustion and anomalies

06Deep analysis of query performance and replication status

Use Cases

01Diagnosing slow queries and resource bottlenecks in real-time

02Proactively monitoring production database health and uptime

03Automating database alerts and remediation workflows