Information Architecture

Helps you structure websites and apps so users can actually find things. You'll use this when redesigning navigation, organizing large content libraries, or building taxonomies that match how people think rather than how your database works. The approach is methodical: card sorting to understand mental models, hierarchy design keeping it shallow (max 3 levels), wireframing navigation flows, then validation through tree testing. What stands out is the emphasis on research first, particularly the mental models piece, because most IA failures happen when teams organize content around their org chart instead of user needs. Includes practical guides on card sorting, sitemap structure, and search design.

skills.sh installs: 641
GitHub stars: 379
last updated: Aug 21, 2026

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Install

$ npx -y skills add aj-geddes/useful-ai-prompts --skill information-architecture --agent claude-code

Installs into .claude/skills of the current project.

Files

Overview

Information Architecture creates logical structures that help users find and understand information easily.

When to Use

Website or app redesign
Large information spaces (documentation, e-commerce)
Navigation structure planning
Taxonomy and categorization
Search functionality design
User journey mapping

Quick Start

Minimal working example:

IA Process:

1. Research & Discovery
  - Interview users about mental models
  - Card sorting sessions (open and closed)
  - Analyze current usage patterns
  - Competitive analysis

2. Structure Development
  - Create organization scheme (hierarchical, faceted, etc.)
  - Define categories and relationships
  - Build taxonomy
  - Plan navigation

3. Wireframing
  - Sitemap creation
  - Navigation structure
  - Page templates
  - User flows

4. Validation
  - User testing with prototypes
  - Tree testing (navigation only)
  - Iterate based on feedback

SKILL.md on GitHub