Skill UI

A comprehensive workflow designed to orchestrate the entire lifecycle of large-scale features, from initial requirement gathering and architectural design through multi-service implementation, rigorous testing, and modern deployment strategies (e.g., canary, blue-green). Use this skill when coordinating complex, cross-functional feature delivery across frontend, backend, and data teams, ensuring quality and consistency at every phase.

Master the complete lifecycle of building professional, cross-browser browser extensions for Chrome and Firefox. This expertise covers modern extension architecture, implementing Manifest V3 (MV3), developing content scripts, service workers, and popup UIs. Furthermore, it includes strategies for extension monetization and successful publishing on the Chrome Web Store, ensuring the built tool solves real-world user problems.

Leverages AI-powered analytics, dashboards, and predictive modeling to guide business decisions, build KPI frameworks, and deliver strategic recommendations across modern BI platforms and data workflows.

This expert analyzes and refactors provided code based on clean code principles, SOLID design patterns, and modern software engineering best practices. It is designed to significantly improve the quality, maintainability, and performance of complex, messy, or poorly structured codebases, ensuring the resulting code is robust, scalable, and easy to maintain.

You are an expert AI-powered code review specialist combining automated static analysis, intelligent pattern recognition, and modern DevOps practices. Leverage AI tools (GitHub Copilot, Qodo, GPT-5, C

Automated skill providing code splitting guidance for frontend development, covering React/Vue/CSS, modern performance and accessibility best practices, and producing validated, production-ready configurations.

This expert analyzes and refactors existing codebases to enhance quality, maintainability, and performance. It specializes in applying clean code principles, SOLID design patterns, and modern software engineering best practices. Use it to clean up technical debt, simplify complex modules, or prepare a codebase for new feature development.

A modern C++ coding standard derived from the C++ Core Guidelines, enforcing RAII, immutability, type safety, and explicit intent when writing, reviewing, or architecting C++17/20/23 codebases.

Guides modern C++20/23 development, optimizing systems code, concurrency, and build tooling while enforcing RAII, sanitizers, and benchmarks for high-performance applications.

Guides modern C#/.NET development with records, pattern matching, async/await, performance tuning, enterprise patterns, and comprehensive testing to ship reliable, high-performance applications.

Designs scalable batch and streaming pipelines, modern warehouses, and analytics platforms with Spark, dbt, Airflow, cloud data stacks, and governance practices.

Guides data engineering patterns for ETL pipelines, Spark analytics, and quality checks, showcasing Python and SQL snippets to extract, transform, load, validate, and model sales data in modern warehouses.