What is the 'Measure First' rule?

It is a core methodology of this skill that requires establishing a data-driven baseline before any optimization is attempted, ensuring all changes are verified with comparative metrics.

How does it help with database performance?

It uses EXPLAIN ANALYZE for query plan inspection, identifies slow queries via logs, and provides implementation patterns to detect and fix N+1 query problems.

Can I use it for frontend optimization?

Yes, it includes bundle analysis tools for Next.js, Webpack, and pnpm to help reduce bundle sizes, find duplicate packages, and implement dynamic imports.

What languages does this profiler support?

It provides specific profiling patterns, tools, and command-line instructions for Node.js, Python, and Go applications.

Does it support automated load testing?

Yes, it integrates with k6 and Artillery to simulate traffic spikes, establish performance thresholds, and measure RPS and error rates under load.

Performance Profiler

Name: Performance Profiler
Author: oabdelmaksoud

byoabdelmaksoud

0•

Analytics & Monitoring

Diagnoses and resolves application bottlenecks across Node.js, Python, and Go through systematic profiling and load testing.

Performance Profiler provides Claude with a comprehensive framework for identifying and fixing system inefficiencies across the entire stack. It enables systematic analysis of CPU usage, memory leaks, bundle sizes, and database query performance using industry-standard tools like py-spy, pprof, and clinic.js. By emphasizing a 'measure first' approach, it helps developers establish performance baselines, run load tests with k6 or Artillery, and verify that optimizations actually deliver measurable improvements in latency and resource consumption.

Key Features

01Multi-language CPU and memory profiling for Node.js, Python, and Go

02Real-time event loop blocking detection and heap snapshot analysis

03Scalable load testing using k6 scripts and Artillery scenarios

04Database query tuning with EXPLAIN ANALYZE and N+1 query detection

050 GitHub stars

06Automated bundle size analysis and tree-shaking optimization patterns

Use Cases

01Optimizing database query performance and eliminating N+1 selection patterns

02Detecting and fixing memory leaks in long-running backend services

03Identifying the root cause of high P99 latency before a production release

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add oabdelmaksoud/agention performance-profiler

For use in Claude.ai and ChatGPT

Key Features

01Multi-language CPU and memory profiling for Node.js, Python, and Go

02Real-time event loop blocking detection and heap snapshot analysis

03Scalable load testing using k6 scripts and Artillery scenarios

04Database query tuning with EXPLAIN ANALYZE and N+1 query detection

050 GitHub stars

06Automated bundle size analysis and tree-shaking optimization patterns

Use Cases

01Optimizing database query performance and eliminating N+1 selection patterns

02Detecting and fixing memory leaks in long-running backend services

03Identifying the root cause of high P99 latency before a production release

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add oabdelmaksoud/agention performance-profiler

For use in Claude.ai and ChatGPT