How does this skill identify performance issues?

It analyzes your code for common bottlenecks like nested loops, sequential I/O, and inefficient data structures while asking for specific latency constraints to provide context-aware solutions.

Does it suggest complex micro-optimizations?

No, the skill prioritizes simple, effective improvements and algorithmic changes. It explicitly avoids premature micro-optimizations that might compromise code readability without significant gains.

Can this skill help with frontend and backend performance?

Yes, it provides strategies for both, ranging from parallelizing Node.js promises to debouncing and memoization in frontend frameworks like React.

How do I verify the improvements suggested by the skill?

The skill includes guidance on adding basic benchmarks, timing logs, and proposing a before/after measurement approach to ensure the changes have the desired effect.

Performance Profiler & Optimizer

Name: Performance Profiler & Optimizer
Author: k1lgor

byk1lgor

0•

Analytics & Monitoring

Identifies code bottlenecks and provides actionable strategies to optimize latency, memory usage, and algorithmic efficiency.

The Performance Profiler skill transforms Claude into a performance-focused engineer capable of diagnosing slowness across various tech stacks. It guides the AI to systematically analyze hot paths, inefficient loops, and heavy I/O operations while prioritizing high-impact algorithmic improvements over premature micro-optimizations. By focusing on practical fixes—such as parallelizing database queries, optimizing data structures, and implementing intelligent caching—it helps developers build faster, more scalable applications with clear verification steps.

Key Features

010 GitHub stars

02Benchmarking and before/after verification guidance

03Memory usage and CPU optimization recommendations

04I/O and database query parallelization strategies

05Detection of bottlenecks in hot code paths and nested loops

06Algorithmic complexity analysis and Big O reduction

Use Cases

01Optimizing slow API endpoints and reducing backend response latency

02Fixing UI performance issues like input lag or redundant re-renders

03Improving data processing speeds for large datasets and batch jobs

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add k1lgor/virtual-company 06-performance-profiler

For use in Claude.ai and ChatGPT

Download Skill