Can I use this for troubleshooting memory leaks?

Absolutely. The skill analyzes memory usage data (heap, stack, and RSS) over time to detect patterns indicative of leaks and provides specific remediation recommendations.

Can this skill help reduce cloud infrastructure costs?

Yes, by identifying underutilized resources and providing 'right-sizing' recommendations, it helps you select smaller, more cost-effective instance types that match your actual load.

Does it support database connection monitoring?

It can track database connection pool utilization to help you identify periods of high contention or underutilization, allowing for more efficient pool sizing.

How does Claude monitor resource usage?

Claude uses the resource-usage-tracker plugin to execute system commands and read metrics like CPU utilization, RSS memory, and I/O stats directly from the application environment.

Resource Usage Tracker

Name: Resource Usage Tracker
Author: intent-solutions-io

byintent-solutions-io

Analíticas y Monitorización

Monitors and optimizes application resource consumption including CPU, memory, and database connections to improve performance and reduce costs.

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The Resource Usage Tracker skill empowers Claude to perform deep-dive analysis of an application stack's performance metrics and resource health. By leveraging real-time data across CPU cycles, memory allocation, disk/network I/O, and database connection pools, it identifies bottlenecks and resource leaks that impact stability. This skill is essential for developers and DevOps engineers looking to right-size their infrastructure, troubleshoot scaling issues, or implement empirical cost-optimization strategies based on actual usage patterns.

Características Principales

0 GitHub stars
Database connection pool optimization and utilization tracking
Infrastructure right-sizing recommendations to reduce cloud costs
Granular process-level tracking for specific resource consumption
Real-time monitoring of CPU, memory, disk, and network I/O
Automated identification of performance bottlenecks and memory leaks

Casos de Uso

Detecting and diagnosing memory leaks in development or staging environments
Optimizing database connection limits to resolve high-contention issues
Right-sizing cloud instances based on actual historical consumption patterns

Acerca de

Características Principales

0 GitHub stars
Database connection pool optimization and utilization tracking
Infrastructure right-sizing recommendations to reduce cloud costs
Granular process-level tracking for specific resource consumption
Real-time monitoring of CPU, memory, disk, and network I/O
Automated identification of performance bottlenecks and memory leaks

Casos de Uso

Detecting and diagnosing memory leaks in development or staging environments
Optimizing database connection limits to resolve high-contention issues
Right-sizing cloud instances based on actual historical consumption patterns