Can it help prevent server-side performance issues?

Yes, it specifically flags synchronous blocking calls in async contexts, which is a primary cause of backend bottlenecks.

What kind of output does the skill provide?

It generates a Performance Risk report detailing the specific file and function, the issue description, a complexity estimate, and a recommended action for fixing it.

Does it detect memory leaks?

Yes, it identifies patterns like unclosed resources and caches that grow without eviction policies.

How does it measure code complexity?

It analyzes nesting depth, function length, and identifies inefficient loop patterns such as O(n^2) or worse.

What programming languages are supported by this skill?

The Performance Monitoring skill supports TypeScript, JavaScript, Python, Java, C#, and Go.

Performance Monitoring

Name: Performance Monitoring
Author: LieBieS

byLieBieS

•

Analíticas y Monitorización

Detects performance regressions and algorithmic inefficiencies automatically during the code development process.

The Performance Monitoring skill serves as an automated auditor for your codebase, specifically designed to catch resource-heavy patterns before they reach production. By analyzing code changes in real-time, it identifies high algorithmic complexity, excessive nesting depth, and synchronous blocking calls in asynchronous environments. This skill is essential for maintaining high-performance standards in high-scale applications, providing developers with immediate feedback on the impact and complexity of their functions across multiple programming languages including Python, JavaScript, and Java.

Características Principales

011 GitHub stars

02Detection of synchronous blocking calls in async contexts

03Nesting depth and function length limit validation

04Algorithmic complexity analysis for O(n^2) or worse loop patterns

05Memory leak pattern identification for unclosed resources

06Detailed risk reporting with impact estimates and recommendations

Casos de Uso

01Preventing performance regressions during the pull request and review phase

02Auditing legacy codebases for hidden resource leaks and inefficient logic

03Ensuring backend services maintain non-blocking execution in high-concurrency environments

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add liebies/newt performance-monitoring

For use in Claude.ai and ChatGPT

Características Principales

011 GitHub stars

02Detection of synchronous blocking calls in async contexts

03Nesting depth and function length limit validation

04Algorithmic complexity analysis for O(n^2) or worse loop patterns

05Memory leak pattern identification for unclosed resources

06Detailed risk reporting with impact estimates and recommendations

Casos de Uso

01Preventing performance regressions during the pull request and review phase

02Auditing legacy codebases for hidden resource leaks and inefficient logic

03Ensuring backend services maintain non-blocking execution in high-concurrency environments

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add liebies/newt performance-monitoring

For use in Claude.ai and ChatGPT