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monitoring-cpu-usage

5.2

by jeremylongshore

108Favorites
71Upvotes
0Downvotes

Monitor this skill enables AI assistant to monitor and analyze cpu usage patterns within applications. it helps identify cpu hotspots, analyze algorithmic complexity, and detect blocking operations. use this skill when the user asks to "monitor cpu usage", "opt... Use when setting up monitoring or observability. Trigger with phrases like 'monitor', 'metrics', or 'alerts'.

monitoring

5.2

Rating

0

Installs

DevOps & Infrastructure

Category

Quick Review

This skill provides CPU usage monitoring and analysis for applications with clear examples and workflow. The description adequately explains what the skill does (identify CPU hotspots, analyze complexity, detect blocking operations), though it could be more precise about invocation triggers. Task knowledge is reasonable with concrete examples and references to scripts (cpu_analyzer.py, cpu_profiler.py) that presumably contain implementation details. Structure is clean with logical sections, though some sections (Prerequisites, Instructions, Output) are generic placeholders. Novelty is moderate—while CPU profiling is valuable, many standard profiling tools exist, and the unique value-add over running standard profilers isn't strongly differentiated. The skill would benefit from more specific invocation criteria and clearer description of what makes it more effective than directly using profiling tools via CLI.

LLM Signals

Description coverage4
Task knowledge6
Structure6
Novelty4

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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