Is it capable of detecting memory leaks?

Yes, by tracking heap, stack, and Resident Set Size (RSS) over time, the skill can identify patterns indicative of leaks and suggest resolution strategies.

Does it require specific permissions to run?

The skill requires access to standard system monitoring tools and read permissions for metric directories to perform historical analysis.

How does the Resource Usage Tracker collect system metrics?

The skill utilizes built-in system tools such as top, ps, vmstat, and iostat via Bash commands to collect real-time data on process-level resource consumption.

Can this skill help lower my cloud infrastructure bills?

Yes, it analyzes resource utilization patterns to identify over-provisioned instances and provides specific right-sizing recommendations to minimize waste.

Resource Usage Tracker

Name: Resource Usage Tracker
Author: BbgnsurfTech

byBbgnsurfTech

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分析与监控

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

关于

The Resource Usage Tracker skill empowers Claude to perform deep diagnostic analysis of your application stack's resource footprint. By leveraging standard system utilities like top, vmstat, and iostat, the skill identifies performance bottlenecks, detects memory leaks, and provides actionable recommendations for infrastructure right-sizing. It is particularly useful for developers and DevOps engineers who need to monitor real-time metrics, analyze historical usage trends, and ensure that code changes do not negatively impact system efficiency or cloud expenditure.

主要功能

Automated identification of performance bottlenecks and resource imbalances
Comparison of current metrics against historical performance baselines
Real-time monitoring of CPU, memory, disk, and network I/O
Cloud infrastructure right-sizing and cost optimization recommendations
Diagnostic reporting for memory leak detection and resolution
3 GitHub stars

使用场景

Optimizing database connection pools and instance sizes to reduce cloud costs
Benchmarking the resource impact of new code deployments against previous versions
Diagnosing and resolving unexpected CPU spikes or memory leaks in production

关于

主要功能

Automated identification of performance bottlenecks and resource imbalances
Comparison of current metrics against historical performance baselines
Real-time monitoring of CPU, memory, disk, and network I/O
Cloud infrastructure right-sizing and cost optimization recommendations
Diagnostic reporting for memory leak detection and resolution
3 GitHub stars

使用场景

Optimizing database connection pools and instance sizes to reduce cloud costs
Benchmarking the resource impact of new code deployments against previous versions
Diagnosing and resolving unexpected CPU spikes or memory leaks in production