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tracking-resource-usage

6.4

by jeremylongshore

81Favorites
81Upvotes
0Downvotes

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".

monitoring

6.4

Rating

0

Installs

DevOps & Infrastructure

Category

Quick Review

This skill provides comprehensive resource monitoring and optimization capabilities with clear documentation. The description effectively covers when and how to use it, with concrete examples like memory leak detection and database connection pool optimization. The structure is logical with well-organized sections covering overview, usage, best practices, and error handling. The scripts/ directory contains multiple Python modules (resource_monitor, data_analyzer, cost_optimization, alert_manager, right_sizing_recommendation) that presumably implement the functionality described. The skill demonstrates moderate novelty - while system monitoring is common, the integrated approach combining real-time tracking, analysis, cost optimization, and right-sizing recommendations adds value beyond basic CLI tools. Minor weaknesses include some conceptual overlap between sections and the mention of a 'resource-usage-tracker plugin' that isn't clearly defined as part of the skill or an external dependency.

LLM Signals

Description coverage8
Task knowledge8
Structure7
Novelty6

GitHub Signals

1,046
135
8
0
Last commit 0 days ago

Publisher

jeremylongshore

jeremylongshore

Skill Author

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Publisher

jeremylongshore avatar
jeremylongshore

Skill Author

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