ui-economy-navigation

Design UI navigation flows that minimize menu depth and cognitive load.

12|1|Updated Oct 31, 2025
One-click install
npx skills add https://github.com/robkam/ytreenova --skill ui-economy-navigation
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ui-economy-navigation
Source: https://github.com/robkam/ytreenova/tree/main/.ai/skills/ui-economy-navigation
Command: npx skills add https://github.com/robkam/ytreenova --skill ui-economy-navigation

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps UI designers and product teams minimize menu depth and cognitive load by enforcing shallow, high-signal choice flows, making complex tasks faster and more predictable.

Core Features & Use Cases

  • Shallow flows: guide users through 1-2 high-signal choices to reach a result.
  • Progressive disclosure: reveal details only as needed to prevent overload.
  • Grouping actions: combine related actions into a single high-signal chooser for speed.
  • Expert quick paths: provide direct key paths for common actions to maintain speed.

Quick Start

Design a prompt flow that maps a common task to a shallow path ending in a single Enter so users reach the result quickly.

Frequently Asked Questions about ui-economy-navigation

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I design UI navigation flows that minimize cognitive load?

To design UI navigation flows that minimize cognitive load, enforce shallow path targets and use progressive disclosure to reveal details only as needed. This approach makes complex tasks faster by preventing information overload and guiding users through 1-2 high-signal choices.

What is the best way to structure menus for quick expert access?

The best way to structure menus for quick expert access is to provide direct key paths for common actions and group related actions into a single high-signal chooser. This maintains speed and predictability while keeping menu depth shallow.

How does progressive disclosure work in interaction design?

Progressive disclosure in interaction design works by revealing details only as needed to prevent overload. It guides users through shallow flows of 1-2 high-signal choices, ensuring details do not overwhelm the user until they explicitly require them.

Can I use this approach to design prompt flows for software interfaces?

Yes, you can use this approach to design prompt flows for software interfaces requiring low cognitive load. You can map a common task to a shallow path ending in a single Enter, allowing users to reach the result quickly and predictably.

Why does deep menu nesting slow down user workflows?

Deep menu nesting slows down user workflows because it increases cognitive load and requires more steps to reach a result. Minimizing menu depth through shallow, high-signal choice flows and grouped actions makes complex tasks faster and more predictable.

When should I not use progressive disclosure in UI navigation?

You should not use progressive disclosure in UI navigation when users require immediate access to all available actions without extra steps. In scenarios demanding quick expert access, direct key paths and grouped actions are better suited to maintain workflow speed.