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windsurf-performance-profiling

4.0

by jeremylongshore

113Favorites
136Upvotes
0Downvotes

Profile and optimize code with AI-assisted analysis. Activate when users mention "performance profiling", "optimize performance", "bottleneck analysis", "profiling", or "performance tuning". Handles performance analysis and optimization. Use when working with windsurf performance profiling functionality. Trigger with phrases like "windsurf performance profiling", "windsurf profiling", "windsurf".

profiling

4.0

Rating

0

Installs

Testing & Quality

Category

Quick Review

The skill provides a clear structural framework with appropriate separation of concerns (referencing implementation.md, errors.md, examples.md), earning points for structure. However, descriptionCoverage is weak - the description lists trigger phrases but doesn't clearly explain what specific actions the skill performs or how a CLI agent would invoke it. TaskKnowledge is minimal in SKILL.md itself, with only 5 high-level steps and heavy reliance on referenced files. The novelty score is low because performance profiling with standard tools (Chrome DevTools, py-spy, etc.) is well within a CLI agent's capabilities - the skill doesn't demonstrate sufficient complexity or token-saving value to justify itself as a specialized skill. The main value-add appears to be organizing profiling workflows, but this is relatively straightforward and doesn't require the sophisticated orchestration that would make a custom skill compelling.

LLM Signals

Description coverage4
Task knowledge3
Structure5
Novelty2

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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