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providing-performance-optimization-advice

6.4

by jeremylongshore

118Favorites
139Upvotes
0Downvotes

Provide comprehensive prioritized performance optimization recommendations for frontend, backend, and infrastructure. Use when analyzing bottlenecks or seeking improvement strategies. Trigger with phrases like "optimize performance", "improve speed", or "performance recommendations".

performance

6.4

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0

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Tools & Utilities

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Quick Review

Well-structured skill providing comprehensive performance optimization advice across frontend, backend, and infrastructure layers. The description clearly articulates triggers and use cases, making it easy for a CLI agent to invoke. The SKILL.md provides a clear overview with concrete examples and a logical workflow. Task knowledge is solid with referenced Python scripts (performance_profiler.py, optimization_suggestions.py, impact_estimator.py) that are assumed to provide the technical implementation details. Structure is clean with good separation of concerns. Novelty is moderate - while performance analysis can be done by a CLI agent, the prioritization framework, impact estimation, and phased roadmap generation add meaningful value and would otherwise require extensive prompting and token usage. The skill effectively packages domain expertise into a reusable format that reduces complexity for performance optimization tasks.

LLM Signals

Description coverage8
Task knowledge7
Structure8
Novelty6

GitHub Signals

1,046
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Last commit 0 days ago

Publisher

jeremylongshore

jeremylongshore

Skill Author

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Publisher

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jeremylongshore

Skill Author

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