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resource-usage-tracker

Track and optimize resource usage across the stack

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■ INSTALL // npx @self.md/cli install resource-usage-tracker
AuthorJeremy Longshore
Namespace@jeremylongshore/claude-code-plugins-plus
Category#devops
Version1.0.0
Stars★ 1,193
Downloads↓ 2
Verification[ ✓ ] self.md verified

Track and optimize resource usage across the stack

Installation

npx claude-plugins install @jeremylongshore/claude-code-plugins-plus/resource-usage-tracker

Contents

Folders: commands, skills

Files: LICENSE, README.md

Documentation

Track and optimize resource usage across your application stack.

Installation

/plugin install resource-usage-tracker@claude-code-plugins-plus

Usage

/track-resources

Features

  • Multi-resource tracking (CPU, memory, I/O, connections)
  • Real-time monitoring instrumentation
  • Dashboard and alert configuration
  • Optimization recommendations
  • Right-sizing guidance
  • Cost optimization insights

License

MIT

Included Skills

This plugin includes 1 skill definition:

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”.

View skill definition

Resource Usage Tracker

This skill provides automated assistance for resource usage tracker tasks.

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.

When to Use This Skill

This skill activates when you need to:

  • Identify performance bottlenecks in an application.
  • Optimize resource allocation to improve efficiency.
  • Reduce cloud infrastructure costs by right-sizing instances.
  • Monitor resource usage in real-time to detect anomalies.
  • Track the impact of code changes on resource consumption.

Examples

Example 1: Identifying Memory Leaks

User request: “Track memory

Source

View on GitHub