Browse skills

Generates clean, production-ready mobile app UI code (React Native/Flutter) from descriptions, optimizing for performance and user experience.

This skill gracefully manages errors in your application, ensuring robust performance and a smoother user experience by proactively addressing potential issues.

Helps with performance optimization, code review as part of agent workflows workflows.

Analyzes agent interactions, identifies bottlenecks, and suggests optimizations to improve efficiency and user satisfaction.

Identifies and suggests fixes for common errors in PyTorch code, streamlining development and improving model performance.

Analyzes code repositories for security vulnerabilities, coding style issues, and potential performance bottlenecks.

Automates Python code reviews focusing on style, security vulnerabilities, and potential performance bottlenecks using established best practices.

Ensures C# code adheres to best practices – readability, maintainability, performance – leveraging jeongheonk's expertise.

Ensures AI/ML projects adhere to Lee-To's documented best practices for ethical development, performance, and maintainability.

Modernizes legacy frontend codebases using React components and best practices, improving maintainability and performance.

This skill optimizes large language model performance by reducing model precision (bitsandbytes quantization), enabling faster inference and lower memory usage.

Automatically updates JavaScript dependencies within your project to the latest versions, improving security and performance.

Automates Rails code refactoring, improving readability, performance, and maintainability using proven patterns.

Automates complex asynchronous workflows using sidekiq and similar patterns, optimizing performance and reliability.

Identifies and suggests fixes for common Rails application errors and performance bottlenecks.

Analyzes task performance data to identify bottlenecks, suggest improvements, and optimize workflows for increased efficiency.

Refactors and cleans complex backend codebases, improving readability, maintainability, and performance according to rmyndharis's standards.

Optimizes AI prompts for better results by refining phrasing and instructions – boosting your model’s performance and efficiency.

Generates diverse test cases from prompts to evaluate model performance across various scenarios and edge cases.

Automatically identifies accessibility, security, and performance issues in web pages using established lighthouse metrics.

Continuously monitors game server health metrics like CPU, memory, and network latency to proactively identify performance issues.

This skill dynamically adjusts HTTP routes based on request parameters, optimizing performance and flexibility for varied API needs.

Helps with performance optimization, analysis as part of agent workflows workflows.

Analyzes SolidJS code for adherence to best practices, suggesting improvements for performance and maintainability.