Skill UI

A sophisticated AI tool that coordinates multiple specialized agents (e.g., Security, Architecture, Performance) to provide comprehensive, multi-perspective code assessments. It goes beyond single-point reviews by managing context, running hybrid execution workflows, resolving conflicts, and synthesizing unified, actionable reports for high-quality code assurance.

Implements Perplexity integration load testing, k6 benchmarks, Kubernetes HPA scaling, and capacity planning guidance for performance tuning and auto-scaling decisions.

A comprehensive guide for building modern, production-ready Python 3.11+ applications. This skill enforces strict type hinting, asynchronous patterns (async/await), robust unit testing (pytest), and rigorous code validation using mypy, black, and ruff. Use it for developing complex, high-performance, and highly maintainable Python services.

A specialist guide for building and optimizing modern Rails 7+ web applications. Expertise covers implementing Hotwire (Turbo Frames/Streams) for partial page updates, optimizing Active Record queries (N+1 prevention), configuring real-time communication via Action Cable, managing background tasks with Sidekiq, and ensuring code quality through comprehensive RSpec testing. Ideal for complex, high-performance backend development.

Builds and optimizes production-ready React Native and Expo mobile apps, covering navigation hierarchies, native module setup, FlatList performance tuning, SafeArea/keyboard handling, and multi-platform testing to ensure smooth iOS and Android releases.

Automates performance testing response time analysis by guiding through best practices, helping you build production-ready scripts and configurations, and validating outputs whenever response time analyzer tasks are requested.

Creates and executes load tests with tools like k6, JMeter, or Artillery to validate application performance under baseline, stress, spike, or scalability scenarios while defining thresholds and providing execution guidance.

Guides systematic load, stress, spike, and soak testing with k6, Artillery, JMeter, Locust, or autocannon, producing SLA-aligned metrics, bottleneck analysis, and CI gates for production-like services.

A comprehensive toolset for the full backend development lifecycle. This suite enables developers to scaffold API routes from OpenAPI specifications, manage complex database migrations and optimization (PostgreSQL), and perform rigorous load/performance testing. It supports building robust microservices, securing REST APIs, and ensuring system scalability.

Soak Test Planner automates guidance for long-duration performance testing; it triggers when soak test patterns are mentioned, helps configure load, stress, and benchmark scenarios, generates ready-to-run code and configs, and validates outputs against industry standards.

Automates stress test configuration guidance for performance testing workflows, offering best practices, production-ready snippets, and validation against standards whenever you mention or request stress test config help.

Guides implementation of Supabase load testing, auto-scaling via Kubernetes HPA, and capacity planning for integrations, covering k6 scripting, metric collection, and documentation of benchmarks for performance evaluations.