Skill UI

Drive comprehensive load, stress, and soak simulations against APIs using tooling such as k6 or Artillery, with configurable scenarios, traffic weighting, and threshold assertions to validate performance baselines and saturation points before production.

Locust Test Creator automates performance-testing guidance, best-practice verification, and ready-to-run code/config generation whenever you request locust-specific load, stress, benchmark, or monitoring scenarios.

Automates the setup of memory profilers for performance testing workflows, guiding users through best practices, code/configuration generation, and validation against industry standards whenever memory profiler setup is mentioned.

Guides performance testing teams through network latency tester tasks by suggesting best practices, generating production-ready scripts/configs, and validating results across load, stress, benchmarking, and monitoring scenarios.

Automated skill that assists with percentile analyzer workflows in performance testing, guiding users through load, stress, benchmarking, and monitoring setups with best practices.

Guides teams through automated performance baseline creation, offering templates, validation rules, and best-practice checklists for load, stress, and benchmarking workflows within performance testing efforts.

Automates load, stress, spike, and endurance tests through the performance-test-suite plugin, collecting response time, throughput, and error-rate metrics to spot CPU/memory/database/network bottlenecks and deliver graphs plus optimization guidance.

A comprehensive specialist that combines automated static analysis (SonarQube, CodeQL, Semgrep) with advanced AI capabilities. This tool performs multi-layered code reviews assessing security vulnerabilities, performance bottlenecks, architectural coherence, and maintainability across various programming languages, integrating seamlessly into CI/CD pipelines.

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.