What layers of the application stack are analyzed?

It performs a multi-layer analysis covering CPU utilization, memory allocation, I/O throughput, database performance, and resource contention.

How does the skill identify performance bottlenecks?

The skill uses integrated tools like Bash and Grep to analyze application logs, architecture, and resource metrics, pinpointing areas where the system is stalling or over-consuming resources.

Does it provide actual code to fix the issues?

Yes, the skill provides specific remediation strategies accompanied by code examples tailored to the identified bottleneck.

Can this skill help with database optimization?

Yes, it specifically identifies slow-running queries and suggests optimizations such as query rewriting or strategic indexing to improve database throughput.

Performance Bottleneck Detector

Name: Performance Bottleneck Detector
Author: BbgnsurfTech

byBbgnsurfTech

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Analíticas y Monitorización

Identifies and resolves performance constraints across CPU, memory, I/O, and database layers to optimize application responsiveness.

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The Performance Bottleneck Detector skill empowers Claude to perform deep architectural analysis to pinpoint and resolve application slowdowns. By examining resource utilization patterns, it identifies critical issues such as memory leaks, inefficient database queries, and I/O contention that impact user experience. This skill is essential for developers who need to proactively optimize resource usage, scale applications efficiently, and provide actionable remediation strategies with code-level examples.

Características Principales

3 GitHub stars
Automated identification of slow-running database queries
Actionable code optimization and indexing suggestions
Comprehensive CPU, memory, I/O, and database analysis
Architectural data flow and constraint mapping
Memory leak profiling and remediation recommendations

Casos de Uso

Optimizing database query performance through indexing and rewriting
Diagnosing and fixing sudden application or service slowdowns
Profiling memory usage patterns to eliminate persistent leaks

Acerca de

Características Principales

3 GitHub stars
Automated identification of slow-running database queries
Actionable code optimization and indexing suggestions
Comprehensive CPU, memory, I/O, and database analysis
Architectural data flow and constraint mapping
Memory leak profiling and remediation recommendations

Casos de Uso

Optimizing database query performance through indexing and rewriting
Diagnosing and fixing sudden application or service slowdowns
Profiling memory usage patterns to eliminate persistent leaks