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windsurf-performance-profiling

4.6

by jeremylongshore

68Favorites
83Upvotes
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".

performance

4.6

Rating

0

Installs

Testing & Quality

Category

Quick Review

The skill provides a clear structure with appropriate separation into reference files. The description covers basic invocation triggers and the overview explains the purpose adequately. Task knowledge appears sufficient when accounting for referenced implementation.md, errors.md, and examples.md files. However, the novelty score is low because performance profiling with standard tools (Chrome DevTools, py-spy, node --prof) is straightforward for a CLI agent to handle without a specialized skill. The main value-add is AI-assisted analysis via Cascade, but the skill doesn't demonstrate sufficient complexity or token-saving potential that wouldn't be achievable through direct CLI profiling tool invocation and standard AI analysis. The description could be more specific about what makes this Windsurf-integrated approach uniquely valuable versus standard profiling workflows.

LLM Signals

Description coverage5
Task knowledge6
Structure6
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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