How does this skill track system resources?

It utilizes a dedicated resource-usage-tracker plugin to gather real-time data on CPU, memory, disk I/O, network I/O, and database connections.

Does it support memory leak detection?

Absolutely. It monitors heap, stack, and RSS trends over time to detect patterns that indicate memory leaks and provides steps for resolution.

Can this skill help reduce my AWS or GCP bill?

Yes, by analyzing resource consumption patterns, the skill identifies over-provisioned instances and suggests right-sizing strategies to lower infrastructure costs.

Can I use this for database performance tuning?

Yes, it tracks database connection pool metrics to help you identify periods of high contention and optimize pool sizes for better efficiency.

When is the best time to use the Resource Usage Tracker?

Activate this skill when troubleshooting performance issues, auditing resource footprints, or preparing for high-traffic events to ensure stability.

Resource Usage Tracker

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

byintent-solutions-io

Analíticas y Monitorización

Monitors and optimizes system resources like CPU, memory, and database connections to improve application performance and reduce infrastructure costs.

Acerca de

The Resource Usage Tracker skill empowers Claude to monitor an application's resource consumption in real-time, providing deep insights into CPU, memory, disk, and network performance. By leveraging the resource-usage-tracker plugin, it identifies critical bottlenecks, detects memory leaks, and offers actionable recommendations for right-sizing infrastructure to maximize efficiency and minimize cloud expenditures. Whether you are troubleshooting performance degradation or looking to audit system overhead, this skill provides the metrics and analysis needed to maintain a healthy application stack.

Características Principales

Actionable recommendations for cloud instance right-sizing and cost reduction
Optimization of database connection pool utilization
0 GitHub stars
Automated identification of performance bottlenecks and resource imbalances
Detection of memory leaks through heap and RSS usage analysis
Real-time monitoring of CPU, memory, and disk I/O metrics

Casos de Uso

Detecting and resolving hidden memory leaks in long-running processes
Reducing cloud infrastructure costs by identifying underutilized resources
Optimizing database connection settings for high-traffic environments

Acerca de

Características Principales

Actionable recommendations for cloud instance right-sizing and cost reduction
Optimization of database connection pool utilization
0 GitHub stars
Automated identification of performance bottlenecks and resource imbalances
Detection of memory leaks through heap and RSS usage analysis
Real-time monitoring of CPU, memory, and disk I/O metrics

Casos de Uso

Detecting and resolving hidden memory leaks in long-running processes
Reducing cloud infrastructure costs by identifying underutilized resources
Optimizing database connection settings for high-traffic environments