Which programming languages are supported by this skill?

The skill provides specialized profiling guidance for Node.js, Python, Rust, and Go, though the core optimization principles apply to virtually any programming language.

Why does the skill emphasize measuring before optimizing?

Measuring first prevents 'premature optimization,' ensuring that development time is spent fixing the slowest parts of the application rather than optimizing code that doesn't impact the user experience.

How does the performance skill help optimize code?

It follows a strict data-driven framework to identify specific bottlenecks, measure baselines, and suggest targeted fixes for CPU, I/O, and memory issues rather than relying on guesswork.

Can this skill help with database-related slowdowns?

Yes, it includes specific strategies for database optimization such as adding missing indexes, analyzing query plans, and implementing effective caching layers.

Does it provide a template for performance reporting?

Yes, it includes a standardized output format that documents the current state, identified bottleneck, root cause, recommended fix, and verification plan.

Performance Optimization Expert

Name: Performance Optimization Expert
Author: Arthur742Ramos

byArthur742Ramos

Herramientas para Desarrolladores

Optimizes code performance through data-driven profiling, bottleneck identification, and implementation of efficient algorithms and resource management.

Acerca de

This skill transforms Claude into a performance specialist capable of diagnosing and resolving latency, throughput, and resource consumption issues across multiple programming languages and environments. By following a rigorous measurement-first framework, it guides developers through identifying bottlenecks in CPU, I/O, memory, or concurrency, and provides specific, verifiable implementation strategies ranging from database query optimization to advanced caching patterns. It is particularly useful when refactoring legacy code for scale or troubleshooting production slowdowns.

Características Principales

Algorithmic complexity analysis and selection of high-performance data structures.
0 GitHub stars
Standardized performance analysis reporting to document baseline metrics, targets, and verification plans.
Database performance tuning including index optimization, query batching, and connection pooling.
Data-driven profiling and bottleneck identification across multiple languages like Node.js, Python, Rust, and Go.
Comprehensive resource management strategies for memory leaks, I/O blocking, and thread contention.

Casos de Uso

Refactoring inefficient algorithmic logic to improve computational speed and scalability.
Diagnosing and fixing slow API endpoints or high-latency database queries.
Reducing memory footprints and optimizing garbage collection behavior in high-load applications.

Acerca de

Características Principales

Algorithmic complexity analysis and selection of high-performance data structures.
0 GitHub stars
Standardized performance analysis reporting to document baseline metrics, targets, and verification plans.
Database performance tuning including index optimization, query batching, and connection pooling.
Data-driven profiling and bottleneck identification across multiple languages like Node.js, Python, Rust, and Go.
Comprehensive resource management strategies for memory leaks, I/O blocking, and thread contention.

Casos de Uso

Refactoring inefficient algorithmic logic to improve computational speed and scalability.
Diagnosing and fixing slow API endpoints or high-latency database queries.
Reducing memory footprints and optimizing garbage collection behavior in high-load applications.