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'.
5.2
Rating
0
Installs
DevOps & Infrastructure
Category
The skill provides a reasonable foundation for CPU monitoring with clear use cases and examples. It explains what the skill does (analyze CPU usage patterns, identify hotspots) and when to use it. However, the description has significant clarity issues: it's truncated and contains formatting problems ('opt...' appears cut off). The task knowledge is moderately strong - it references scripts (cpu_analyzer.py, cpu_profiler.py, example_usage.sh) that presumably contain implementation details. Structure is acceptable with logical sections, though some generic boilerplate ('produces structured output') adds little value. The novelty score is lower because CPU profiling is a well-established task that standard profiling tools handle effectively; while the skill may add convenience, it's unclear how much token cost this saves over using existing profilers directly. The skill would benefit from: (1) fixing the truncated description, (2) being more specific about how it differs from standard profiling tools, and (3) clarifying the actual mechanics of 'activating the plugin' and producing reports.
jeremylongshore
Skill Author
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