Does it support memory leak detection?

Absolutely. It monitors heap, stack, and RSS usage over time to identify growth patterns indicative of memory leaks and provides suggestions for resolution.

Can this skill help reduce my AWS or GCP monthly bill?

Yes, by analyzing actual resource consumption patterns, the skill provides right-sizing recommendations that allow you to move to more cost-effective instance types.

What system tools are required for this skill to work?

The skill requires access to standard Unix/Linux monitoring utilities including top, ps, vmstat, and iostat to gather accurate system metrics.

How does the Resource Usage Tracker identify bottlenecks?

It uses system tools like top, ps, and iostat to collect real-time metrics and compares them against historical baselines to pinpoint resource contention and inefficiencies.

Resource Usage Tracker

Name: Resource Usage Tracker
Author: jeremylongshore

byjeremylongshore

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2,028

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分析と監視

Monitors and optimizes system resource consumption including CPU, memory, disk, and network I/O to improve performance and reduce infrastructure costs.

This specialized Claude Code skill provides real-time visibility into your application's resource utilization across the entire stack. By leveraging core system tools like top, vmstat, and iostat, it identifies performance bottlenecks, detects memory leaks, and analyzes historical trends. It is particularly useful for developers and DevOps engineers looking to right-size cloud instances, optimize database connection pools, and validate the performance impact of code changes before they hit production.

主な機能

01Comprehensive disk I/O and network traffic analysis

02Automated memory leak detection and pattern identification

03Historical baseline comparison and bottleneck reporting

04Data-driven cloud instance right-sizing recommendations

05Real-time CPU and memory utilization monitoring

062,028 GitHub stars

ユースケース

01Reducing cloud infrastructure bills through resource right-sizing

02Identifying and resolving hidden application memory leaks

03Optimizing database connection pool sizes for higher throughput

主な機能

01Comprehensive disk I/O and network traffic analysis

02Automated memory leak detection and pattern identification

03Historical baseline comparison and bottleneck reporting

04Data-driven cloud instance right-sizing recommendations

05Real-time CPU and memory utilization monitoring

062,028 GitHub stars

ユースケース

01Reducing cloud infrastructure bills through resource right-sizing

02Identifying and resolving hidden application memory leaks

03Optimizing database connection pool sizes for higher throughput