Skill UI

A specialized skill for achieving asymptotic performance gains when classical algorithms are already near optimal. It leverages advanced mathematical techniques and probabilistic data structures (e.g., Bloom Filters, HyperLogLog, FFT, MinHash/LSH) to handle massive datasets (n ≥ 10⁶) by accepting bounded approximations or exploiting deep structural properties. Requires strict adherence to error parameter and complexity justification protocols.

Max is a specialized agent responsible for cleaning up and improving existing code without altering its behavior. It focuses on algorithmic optimization, code abstraction, dead code removal, and readability improvements. Max ensures all changes maintain test suite integrity and follows strict refactoring rules. It is invoked only when explicitly requested to refactor proven code, ensuring safety and stability in software development workflows.

Principles for mobile game development covering touch input, battery optimization, thermal management, screen responsiveness, app store requirements, and monetization models. Provides best practices and anti-patterns for the constrained mobile platform.

A comprehensive skill for building and maintaining efficient, scalable monorepositories. This involves strategies for enabling code sharing, ensuring consistent tooling across multiple packages and applications, and managing atomic changes. Use this skill for setting up new monorepo architectures, migrating existing repositories, and optimizing complex CI/CD pipelines.

This skill provides a comprehensive decision framework and set of patterns for architects designing cloud-agnostic applications across major providers like AWS, Azure, and GCP. It details service comparisons (Compute, Storage, DB), multi-cloud patterns (e.g., Best-of-Breed, DR), cost optimization strategies, and structured migration plans, ensuring robust and resilient enterprise deployments.

Administer and optimize MySQL/MariaDB databases in production environments. Covers installation, configuration tuning, security hardening, backup strategies using mysqldump or XtraBackup, and source-replica replication setup. Essential for managing relational database deployments and ensuring high availability.

Design efficient PostgreSQL schemas using best practices for data types, indexing, and constraints. Covers normalization, partitioning, and performance optimization for scalable database systems.

A comprehensive optimization guide maintained by Vercel, covering 45 rules for React and Next.js. Use this resource when building new components, implementing complex data fetching (client or server-side), refactoring code, or systematically improving bundle size and overall load times for high-performance web applications.

A comprehensive reference guide detailing best practices, rules, and optimizations for building high-performance React Native and Expo applications. It covers critical areas such as list virtualization, complex animations, UI patterns, state management, and monorepo structure, helping developers avoid common pitfalls and maximize app speed and stability.

This comprehensive workflow guides the development of modern, scalable full-stack applications using Next.js 14+, React, and TypeScript. It covers all phases, from project setup and component architecture to advanced data fetching (Server Components, React Query), styling with Tailwind CSS, robust testing (E2E via Playwright), and deployment optimization. Ideal for building complex, production-grade web interfaces.

This skill enables writing idiomatic Ruby code using metaprogramming, Rails patterns, and performance optimization techniques. It specializes in Ruby on Rails application development, gem creation, and testing frameworks like RSpec. Users can get guidance on best practices, code quality with RuboCop, and architectural patterns for maintainable software.

Diagnose slow SQL queries using execution plans, preserve results, and validate indexing or query modifications against representative data. This skill helps debug performance issues, design efficient schemas, reduce database load, and improve application scalability for growing datasets.