Can this skill help with database performance?

Yes, it includes specific guidance for database optimization, including the use of EXPLAIN ANALYZE, identifying N+1 queries, and checking connection pool statistics.

What are the common 'Red Flags' this skill identifies?

It flags anti-patterns such as premature optimization, performing micro-optimizations in cold code paths, and attempting to optimize without a established baseline.

How does the Performance Profiling skill improve my code?

It implements a systematic 'Measure first, Optimize second' approach, ensuring you focus on actual bottlenecks identified through profiling rather than making guesses based on intuition.

What tools does this skill support?

The skill provides patterns for various tools including Node.js --prof, clinic.js, 0x flame graphs, Chrome DevTools Performance tab, Lighthouse, and WebPageTest.

Performance Profiling

Name: Performance Profiling
Author: timequity

bytimequity

Analytics & Monitoring

Identifies and resolves software bottlenecks through systematic measurement and empirical optimization workflows.

About

This skill equips Claude with a rigorous methodology for diagnosing and fixing performance issues across the entire stack. By enforcing a 'Measure, Optimize, Verify' cycle, it helps developers move beyond guesswork to identify actual bottlenecks in Node.js applications, browser environments, and databases. Whether dealing with N+1 queries, memory leaks, or CPU-intensive loops, this skill provides structured guidance on using industry-standard tools like clinic.js, flame graphs, and Chrome DevTools to ensure every optimization is data-driven and measurably effective.

Key Features

Guidance for profiling tools including clinic.js, 0x, and EXPLAIN ANALYZE
Prevention of premature and micro-optimizations in cold paths
Identification of common bottlenecks like N+1 queries and memory leaks
Standardized 'Measure-Optimize-Verify' performance workflow
0 GitHub stars
Diagnostic patterns for Node.js, Web Browsers, and Databases

Use Cases

Optimizing frontend rendering performance and reducing blocking resources
Analyzing and refining database query execution plans to improve throughput
Debugging slow API response times and high CPU usage in backend services

About

Key Features

Guidance for profiling tools including clinic.js, 0x, and EXPLAIN ANALYZE
Prevention of premature and micro-optimizations in cold paths
Identification of common bottlenecks like N+1 queries and memory leaks
Standardized 'Measure-Optimize-Verify' performance workflow
0 GitHub stars
Diagnostic patterns for Node.js, Web Browsers, and Databases

Use Cases

Optimizing frontend rendering performance and reducing blocking resources
Analyzing and refining database query execution plans to improve throughput
Debugging slow API response times and high CPU usage in backend services