Can this skill help optimize database performance?

Yes, it identifies slow queries using EXPLAIN ANALYZE, detects N+1 data fetching patterns, and suggests indexing strategies to improve response times.

What is the 'Golden Rule' of this performance skill?

The core philosophy is 'Measure First'—always establish a data baseline before attempting any optimization to ensure the fix provides a verifiable improvement.

Which programming languages are supported by the Performance Profiler?

The Performance Profiler specifically supports Node.js, Python, and Go applications, providing tailored profiling recipes and tools for each language.

Does it provide visual evidence for performance issues?

Yes, it guides you through generating flamegraphs for CPU usage and using bundle analyzers to visualize static asset bloat.

What load testing tools does this skill utilize?

It integrates with popular tools like k6 and Artillery to run load tests, define ramp-up patterns, and measure error rates under stress.

Performance Profiler

Name: Performance Profiler
Author: micsapp

bymicsapp

0•

Analytics & Monitoring

Identifies and resolves performance bottlenecks in Node.js, Python, and Go applications using systematic profiling and load testing.

The Performance Profiler skill empowers developers to transition from guesswork to data-driven engineering by providing deep-dive analysis of CPU, memory, and database usage. It facilitates the entire optimization lifecycle—from establishing performance baselines and identifying N+1 queries to generating flamegraphs and verifying improvements with k6 load tests—ensuring that applications meet strict P99 latency SLAs and maintain efficient resource consumption across different environments.

Key Features

01CPU and memory profiling for Node.js, Python, and Go environments

02Automated load testing scenarios using k6 and Artillery

03Database optimization via EXPLAIN ANALYZE and N+1 query detection

040 GitHub stars

05Bundle size analysis for Webpack and Next.js applications

06Standardized before-and-after measurement templates for verification

Use Cases

01Reducing frontend bundle sizes and optimizing critical rendering paths

02Preparing for high-traffic events by running ramp-up load test patterns

03Diagnosing high P99 latency or suspected memory leaks in backend services

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add micsapp/micstec-skills performance-profiler

For use in Claude.ai and ChatGPT

Key Features

01CPU and memory profiling for Node.js, Python, and Go environments

02Automated load testing scenarios using k6 and Artillery

03Database optimization via EXPLAIN ANALYZE and N+1 query detection

040 GitHub stars

05Bundle size analysis for Webpack and Next.js applications

06Standardized before-and-after measurement templates for verification

Use Cases

01Reducing frontend bundle sizes and optimizing critical rendering paths

02Preparing for high-traffic events by running ramp-up load test patterns

03Diagnosing high P99 latency or suspected memory leaks in backend services

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add micsapp/micstec-skills performance-profiler

For use in Claude.ai and ChatGPT