Can this skill help with fixing memory leaks?

Yes, it profiles memory usage patterns to identify potential leaks and provides specific code recommendations and examples to resolve them.

Does it support database optimization?

Absolutely. It identifies slow-running queries and suggests optimizations such as indexing, query rewriting, or schema adjustments to improve database performance.

When is the best time to use the bottleneck detector?

You should use it during active debugging for slow performance, during the QA phase of development, or proactively before deploying major architectural changes.

How does Claude identify performance bottlenecks?

Claude analyzes your application's architecture, data flow, and code patterns to pinpoint inefficiencies in CPU usage, memory allocation, and database operations.

Performance Bottleneck Detector

Name: Performance Bottleneck Detector
Author: BbgnsurfTech

byBbgnsurfTech

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分析与监控

Diagnoses and resolves application performance issues across CPU, memory, I/O, and database layers to optimize resource efficiency.

关于

The Performance Bottleneck Detector skill empowers Claude to perform deep-dive performance audits, identifying latency sources and resource constraints within your application architecture. By analyzing complex data flows and profiling resource usage, it pinpoints the root causes of slow responsiveness—ranging from unoptimized database queries and memory leaks to I/O contention and CPU spikes. Beyond just identification, the skill provides actionable remediation strategies and implementation-ready code examples to help you scale your application and improve user experience.

主要功能

Comprehensive CPU and memory usage profiling
Architectural data flow analysis to find latency sources
Detection of I/O bottlenecks and resource exhaustion
3 GitHub stars
Slow-running database query identification and optimization
Automated remediation suggestions with code examples

使用场景

Proactively auditing resource usage before scaling applications to new users
Diagnosing sudden performance degradation in production environments
Optimizing database query performance through indexing and rewriting

关于

主要功能

Comprehensive CPU and memory usage profiling
Architectural data flow analysis to find latency sources
Detection of I/O bottlenecks and resource exhaustion
3 GitHub stars
Slow-running database query identification and optimization
Automated remediation suggestions with code examples

使用场景

Proactively auditing resource usage before scaling applications to new users
Diagnosing sudden performance degradation in production environments
Optimizing database query performance through indexing and rewriting