What are the core principles of AI loading UX?

The core principles include reducing perceived wait time, using progressive disclosure for transparency, balancing visibility with cognitive load, and signaling completion clearly.

How does this skill help with streaming AI content?

It provides patterns for smooth token appearance, skeleton screens, and 'stop generating' escape hatches to ensure the user feels in control during live text generation.

What is the 'Elevator Mirror Effect' in AI UX?

It is a design principle where giving users something interesting to watch—like an animated thinking indicator or reasoning steps—reduces the perceived time they spend waiting for AI output.

When should I use reasoning displays versus simple loaders?

Use reasoning displays for complex tasks where transparency builds trust. For simple, fast queries, a minimal status indicator is usually preferred to avoid cognitive overload.

AI Loading UX

Name: AI Loading UX
Author: shipshitdev

byshipshitdev

•

디자인 도구

Designs intuitive AI loading states, reasoning displays, and progress indicators to improve user trust and perceived performance.

The AI Loading UX skill provides a comprehensive framework for handling the 'waiting' phase of artificial intelligence interactions. It focuses on reducing perceived latency through the 'elevator mirror effect' and builds user confidence via progressive disclosure of reasoning. By implementing standardized patterns for chain-of-thought displays, multi-step progress tracking, and smooth token streaming, this skill helps developers create professional-grade AI interfaces that remain transparent and engaging even during long-running background processes.

주요 기능

0110 GitHub stars

02Offers visual frameworks for multi-step task progression and completion states.

03Standardizes streaming UI patterns including cursors and skeletons.

04Implements the 'Elevator Mirror Effect' to minimize perceived wait times.

05Includes a comprehensive implementation checklist for error handling and motion.

06Provides structured patterns for expandable reasoning and chain-of-thought displays.

사용 사례

01Optimizing streaming text interfaces to reduce cognitive load and jarring movements.

02Designing transparent reasoning displays for complex AI agentic workflows.

03Implementing real-time progress indicators for multi-step data processing tasks.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add shipshitdev/library ai-loading-ux

For use in Claude.ai and ChatGPT

Download Skill