profiling-application-performance

5.2

151

107

Execute this skill enables AI assistant to profile application performance, analyzing cpu usage, memory consumption, and execution time. it is triggered when the user requests performance analysis, bottleneck identification, or optimization recommendations. the... Use when optimizing performance. Trigger with phrases like 'optimize', 'performance', or 'speed up'.

profiling

5.2

Rating

Installs

Testing & Quality

Quick Review

This skill provides a reasonable framework for application performance profiling with clear use cases and workflow steps. The description covers basic capabilities (CPU, memory, execution time analysis) and trigger conditions. The structure is logical with examples and best practices. However, descriptionCoverage is moderate because the description is somewhat generic and doesn't specify concrete implementation details or tool selection criteria. TaskKnowledge scores slightly higher as it references Python scripts in the scripts/ directory for profiling, analysis, and reporting (assumed functional per rules). Structure is clear but could benefit from more explicit references to the script files. Novelty is moderate - while profiling is valuable, it's a well-established task that CLI tools can partially handle; the skill's value lies mainly in orchestrating existing profilers rather than providing truly novel capabilities. The skill would benefit from more specific details about which profiling tools are used for different stacks and how the scripts integrate with them.