Skill UI

This comprehensive skill provides a holistic approach to building modern, accessible, and visually stunning user interfaces. It combines the highly accessible components of shadcn/ui (built on Radix UI), the utility-first power of Tailwind CSS, and sophisticated visual design principles (Canvas). Use this when developing complex React applications, implementing full design systems, ensuring responsive layouts across devices, and requiring professional-grade visual compositions, from dashboards to marketing posters. It guarantees consistency, accessibility, and rapid prototyping.

This skill allows users to upload local images (like screenshots or before/after comparisons) directly to GitHub using the CLI. Since GitHub lacks a public API for uploads, this tool replicates the web UI's internal process, generating canonical, embeddable user-attachments URLs for seamless use in PR descriptions, issues, and comments from the terminal.

This guide details advanced strategies for publishing technical content across major developer platforms like Dev.to and Hashnode. It covers cross-posting best practices, canonical URL management for optimal SEO, and platform-specific optimization (e.g., tagging, content performance) to maximize reach and build authority.

This skill helps developers achieve maximum AI readiness by automatically detecting the project stack and seeding context using a single, precise goal sentence. It systematically fills the essential project context (the 6 Ws), requiring the user only to answer the few remaining knowledge gaps (like the 'why' or 'when'). This creates a portable, structured context file, ensuring AI models have a complete understanding of the project before coding, minimizing guesswork and maximizing efficiency.

This skill guides users through an in-depth interview process to achieve maximum project context completeness (100% "Gold Code") for their .faf file. By systematically asking questions about project goals, architecture, and technology stack, it ensures all critical context slots are filled, making the project fully structured and highly readable by AI systems.

A comprehensive discipline for managing the write path in React or React Native applications using a query/cache layer. It codifies the full optimistic update lifecycle, ensuring that UI updates feel instantaneous, rollbacks are verbatim upon failure, and the global cache remains perfectly coherent across all components and list views. This pattern is essential for complex, highly interactive user experiences.

A framework-agnostic, builder-based SEO system designed for React and React Native-for-web applications. It centralizes site identity (title, description, OG tags) in a single source of truth, ensuring all metadata, canonical URLs, and structured data (JSON-LD, sitemap, robots.txt, RSS) are consistent, machine-readable, and automatically generated for every route.

A comprehensive skill to diagnose and fix excessive Postgres egress (network data transfer) that leads to high cloud database bills. It guides the user through using `pg_stat_statements` to identify the most data-intensive queries. Key fixes include limiting selected columns (avoiding SELECT *), implementing pagination (LIMIT/OFFSET), and identifying high-frequency data sources for caching.

A comprehensive skill for generating production-grade, robust automation scripts and end-to-end tests using Selenium WebDriver. Supports multiple languages (Java, Python, JS, C#, etc.) and execution environments, including local machines and TestMu AI cloud for cross-browser compatibility. It guides users on best practices like explicit waits, Page Object Model (POM), and stable locator strategies, acting as a senior QA automation architect.