What problem does it solve? Choosing the right frontend library for a task like toasts, drag and drop, or charts often leads to decision paralysis or picking an unsuitable tool. This Skill provides a curated, opinionated lookup table that maps common frontend tasks to a single deliberate library recommendation. ## Core Features & Use Cases - Task-to-Library Lookup: Matches tasks like command menus, OTP inputs, virtualization, animation, and state management to curated picks such as cmdk, input-otp, Virtuoso, motion, and zustand. - Existing Dependency Awareness: Checks package.json first and respects libraries already installed, flagging recommendations without churning dependencies. - Mismatch Detection: Catches common anti-patterns like hand-built toasts, div-based dropdowns with manual focus handling, or rendering 1,000+ row lists without virtualization. - Use Case: When you ask "what should I use for drag and drop?", the Skill recommends dnd kit, explains what it is for in one sentence, and wires it up if requested. ## Quick Start Ask the AI which library to use for a specific frontend task, such as "I need toasts in my React app" or "what should I use for a command palette?"
