How does this skill help with cloud costs?

It analyzes resource consumption to identify over-provisioned instances, suggesting 'right-sizing' adjustments to lower your cloud infrastructure spend.

What metrics does the tracker monitor?

It tracks CPU usage, memory (heap/stack), disk and network I/O, file descriptors, database connections, and thread/process counts.

Can it detect specific memory leaks?

Yes, by monitoring heap and RSS trends over time, the skill can identify patterns indicative of memory leaks and suggest resolution strategies.

Is this skill useful for database performance?

Absolutely. It monitors connection pool utilization to help you optimize settings for better throughput and lower resource contention.

Resource Usage Tracker

Name: Resource Usage Tracker
Author: jeremylongshore

byjeremylongshore

•

884

Analytics & Monitoring

Monitors and optimizes application resource consumption to improve performance and reduce infrastructure costs.

About

This skill empowers Claude to monitor and analyze critical system resources including CPU, memory, disk/network I/O, and database connections in real-time. By leveraging the resource-usage-tracker plugin, it identifies performance bottlenecks and provides actionable insights for right-sizing infrastructure and debugging resource-heavy issues like memory leaks or inefficient connection pooling. It is an essential tool for developers and DevOps engineers looking to maintain high-efficiency application stacks while minimizing operational expenses through data-driven optimization.

Key Features

Granular tracking of file descriptors and thread counts
Detection of memory leaks and performance bottlenecks
Infrastructure right-sizing recommendations for cost reduction
Database connection pool optimization and analysis
884 GitHub stars
Real-time monitoring of CPU, memory, and disk/network I/O

Use Cases

Optimizing database connection pool settings for high-traffic services
Identifying and resolving memory leaks in long-running applications
Reducing cloud billing by right-sizing underutilized infrastructure instances

About

Key Features

Granular tracking of file descriptors and thread counts
Detection of memory leaks and performance bottlenecks
Infrastructure right-sizing recommendations for cost reduction
Database connection pool optimization and analysis
884 GitHub stars
Real-time monitoring of CPU, memory, and disk/network I/O

Use Cases

Optimizing database connection pool settings for high-traffic services
Identifying and resolving memory leaks in long-running applications
Reducing cloud billing by right-sizing underutilized infrastructure instances