Does it require external monitoring agents?

It uses the resource-usage-tracker plugin and standard system tools like Bash and Grep to collect metrics directly from the environment.

Can it help reduce cloud infrastructure costs?

Yes, by analyzing actual resource consumption, it identifies underutilized instances and provides recommendations for right-sizing to save money.

How does this skill help identify memory leaks?

The skill monitors heap and RSS memory usage patterns over time, identifying continuous growth trends that indicate potential memory leaks.

What specific metrics does the tracker monitor?

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

Resource Usage Tracker

Name: Resource Usage Tracker
Author: jeremylongshore

byjeremylongshore

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884

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Analytics & Monitoring

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

The Resource Usage Tracker skill empowers Claude to perform deep performance analysis by monitoring real-time metrics across your application stack. It provides comprehensive visibility into CPU, memory, disk I/O, and network activity, enabling the identification of memory leaks, database connection bottlenecks, and inefficient resource allocation. By analyzing collected data, the skill offers actionable recommendations for right-sizing infrastructure and optimizing code-level resource utilization to drive both performance gains and cloud cost savings.

Key Features

01884 GitHub stars

02Database connection pool utilization and contention analysis

03Cloud infrastructure cost optimization via instance right-sizing

04Memory leak detection through RSS and heap tracking

05Real-time monitoring of CPU, memory, and disk I/O metrics

06Granular process-level resource consumption reporting

Use Cases

01Reducing monthly cloud spending through resource right-sizing

02Optimizing database performance by tuning connection pool sizes

03Identifying and resolving persistent application memory leaks

Key Features

01884 GitHub stars

02Database connection pool utilization and contention analysis

03Cloud infrastructure cost optimization via instance right-sizing

04Memory leak detection through RSS and heap tracking

05Real-time monitoring of CPU, memory, and disk I/O metrics

06Granular process-level resource consumption reporting

Use Cases

01Reducing monthly cloud spending through resource right-sizing

02Optimizing database performance by tuning connection pool sizes

03Identifying and resolving persistent application memory leaks