Skeleton screens are an AI interface design pattern that show a loading placeholder shaped like the upcoming answer, instead of a generic spinner. The interface estimates the response format (table, list, cards) and renders matching placeholders so people can see what is coming while tokens generate. For example, a competitor comparison shows table-shaped rows; a checklist shows list-shaped lines. This reduces perceived wait time and sets expectations about structure. It is essential when generation takes noticeable time and a blank screen or spinner would feel slower than a shaped preview.
Ideal for AI apps with longer generation times, where a structure-matched loading state reduces perceived latency and sets expectations.
Copy this prompt to generate a production-ready implementation in Cursor, Claude Code, Lovable, or any AI coding agent.
Generate a production-ready implementation of the "Skeleton Screens" AI interface design pattern.
Pattern Definition:Show replies token-by-token as they generate
Interactive snippets
Render interactive UI components in the answer
New message alert
Quick emoji reactions
Auto-summarize long chats