How does it automate the optimization process?

The skill generates implementation plans, suggests code modifications using Scalene decorators, and provides AI-optimized configuration settings for infrastructure.

Can this skill help with GPU and memory optimization?

Yes, it features dedicated modules for GPU-accelerated computing and advanced memory profiling to identify inefficiencies and suggest hardware-specific tuning.

Is it capable of predicting performance issues before they happen?

Through its AI-PERF framework, it analyzes usage patterns and codebase structure to provide predictive alerts regarding potential scaling bottlenecks and resource risks.

How does Context7 integration improve performance analysis?

It allows Claude to fetch live performance patterns and documentation from specific libraries like Scalene, ensuring the optimization advice is based on the latest community best practices.

What programming languages are supported by this skill?

The skill supports over 25 programming languages, providing specialized optimization patterns and intelligence tailored to the unique performance characteristics of each.

Moai Performance Essentials

Name: Moai Performance Essentials
Author: dolsoon

bydolsoon

分析と監視

Optimizes enterprise application performance using AI-powered bottleneck detection, predictive tuning, and advanced Scalene profiling across 25+ languages.

概要

Moai Performance Essentials is a comprehensive performance orchestrator that transforms Claude into an expert systems engineer. By leveraging the AI-PERF framework, it integrates Scalene's deep profiling capabilities with Context7's vast optimization knowledge base to detect bottlenecks in CPU, GPU, and memory usage. The skill provides predictive analysis to catch scaling issues before they occur and generates automated, version-aware optimization strategies, making it indispensable for maintaining high-efficiency enterprise systems and microservices.

主な機能

Real-time optimization pattern matching via Context7 integration
Predictive performance tuning to mitigate risks before deployment
Automated performance strategy generation for 25+ programming languages
Deep Scalene profiling for granular CPU, GPU, and memory analysis
AI-powered bottleneck detection using machine learning pattern recognition
0 GitHub stars

ユースケース

Optimizing GPU-accelerated workloads for machine learning and high-performance computing
Debugging and resolving complex memory leaks or CPU spikes in production microservices
Proactive performance auditing during the development lifecycle to prevent scaling regressions

概要

主な機能

Real-time optimization pattern matching via Context7 integration
Predictive performance tuning to mitigate risks before deployment
Automated performance strategy generation for 25+ programming languages
Deep Scalene profiling for granular CPU, GPU, and memory analysis
AI-powered bottleneck detection using machine learning pattern recognition
0 GitHub stars

ユースケース

Optimizing GPU-accelerated workloads for machine learning and high-performance computing
Debugging and resolving complex memory leaks or CPU spikes in production microservices
Proactive performance auditing during the development lifecycle to prevent scaling regressions