Can this skill help with algorithmic efficiency?

Yes, it offers practical examples of reducing time complexity (e.g., O(n²) to O(n)) and managing space-vs-time tradeoffs through precomputation and data structure selection.

What profiling tools does this skill cover?

The skill includes guidance for Node.js built-in profilers, clinic.js for flame graphs, and programmatic memory monitoring via heap snapshots.

How does this skill help with database performance?

It provides standardized patterns for identifying slow queries with EXPLAIN ANALYZE, fixing N+1 problems, and implementing efficient indexing strategies like composite and partial indexes.

Does it support frontend optimization for Core Web Vitals?

Yes, it includes specific techniques for improving LCP, INP, and CLS through code splitting, modern image formats, and bundle optimization using tools like Webpack.

Performance Optimization

Name: Performance Optimization
Author: miles990

bymiles990

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Analytics & Monitoring

Optimizes software performance across the full stack using profiling techniques, caching strategies, and efficient database indexing.

About

This skill empowers Claude to identify and resolve performance bottlenecks by providing comprehensive patterns for CPU/memory profiling, database query tuning, and frontend optimization. It guides developers through a 'measure first' philosophy, offering actionable implementation guides for caching, asynchronous processing, and algorithmic efficiency. Whether you are troubleshooting memory leaks in Node.js or improving Core Web Vitals for a frontend application, this skill provides the domain-specific best practices needed to build high-performance, scalable systems.

Key Features

Frontend tuning for Core Web Vitals, code splitting, and image optimization
Backend efficiency patterns for connection pooling and async processing
Comprehensive caching implementations including cache-aside and memoization
1 GitHub stars
Database query optimization including index strategies and N+1 resolution
CPU and memory profiling patterns for Node.js and V8 environments

Use Cases

Reducing database latency and optimizing query execution plans for scale
Improving frontend load times and interactivity scores to enhance user experience
Identifying and fixing memory leaks or CPU bottlenecks in server-side applications

About

Key Features

Frontend tuning for Core Web Vitals, code splitting, and image optimization
Backend efficiency patterns for connection pooling and async processing
Comprehensive caching implementations including cache-aside and memoization
1 GitHub stars
Database query optimization including index strategies and N+1 resolution
CPU and memory profiling patterns for Node.js and V8 environments

Use Cases

Reducing database latency and optimizing query execution plans for scale
Improving frontend load times and interactivity scores to enhance user experience
Identifying and fixing memory leaks or CPU bottlenecks in server-side applications