Individual skill

tracking-resource-usage

Track and optimize resource usage across application stack including CPU, memory, disk, and network I/O. Use when identifying bottlenecks or optimizing costs. Trigger with phrases like "track resource usage", "monitor CPU and memory", or "optimize resource allocation".

skills/.curated/tracking-resource-usage/SKILL.md

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Last checked: Nov 12, 2026

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Repository stars (not skill ratings): 2,917
Repository last updated: Nov 12, 2026
License: MIT

Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.

ai Repository topic
automation Repository topic
claude-code Repository topic
devops Repository topic
mcp Repository topic
ai-agents Repository topic
anthropic Repository topic
claude-code-plugins Repository topic
developer-tools Repository topic
llm Repository topic
performance Declared skill tag
monitoring Declared skill tag
cost-optimization Declared skill tag
engineering Derived category

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SKILL.mdcore · 4,761 bytes
assets/README.mddoc · 139 bytes
references/README.mddoc · 65 bytes
scripts/README.mddoc · 751 bytes
scripts/data_analyzer.pyruns · 4,819 bytes

Read excerpt

# Resource Usage Tracker

Track CPU, memory, disk I/O, and network utilization in real time to identify bottlenecks, right-size instances, and reduce cloud infrastructure costs.

## Overview

This skill provides a comprehensive solution for monitoring and optimizing resource usage within an application. It leverages the resource-usage-tracker plugin to gather real-time metrics, identify performance bottlenecks, and suggest optimization strategies.

## How It Works

1. **Identify Resources**: The skill identifies the resources to be tracked based on the user's request and the application's configuration (CPU, memory, disk I/O, network I/O, etc.).
2. **Collect Metrics**: The plugin collects real-time metrics for the identified resources, providing a snapshot of current resource consumption.
3. **Analyze Data**: The skill analyzes the collected data to identify performance bottlenecks, resource imbalances, and potential optimization opportunities.
4. **Provide Recommendations**: Based on the analysis, the skill provides specific recommendations for optimizing resource allocation, right-sizing instances, and reducing costs.