aj-geddes/useful-ai-prompts

information-architecture

Organize and structure information for clarity and discoverability. Design navigation systems, hierarchies, and mental models that match user needs.

First seen Jan 21, 2026

Installation

$ npx skills add aj-geddes/useful-ai-prompts --skill information-architecture

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

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Gemini CLI Not declared
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Repository health

Stars 334
License LICENSE
Default branch main
Open issues 1
Status Active

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 2,472 B
  • docs SUMMARY.md 2,395 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 618 installs

SKILL.md

Information Architecture

Table of Contents

  • [Overview](#overview)
  • [When to Use](#when-to-use)
  • [Quick Start](#quick-start)
  • [Reference Guides](#reference-guides)
  • [Best Practices](#best-practices)

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

// ... (see reference guides for full implementation)

Reference Guides

Detailed implementations in the references/ directory:

Guide Contents
[Card Sorting & Taxonomy](references/card-sorting-taxonomy.md) Card Sorting & Taxonomy
[Sitemap & Navigation Structure](references/sitemap-navigation-structure.md) Sitemap & Navigation Structure
[Search & Discovery](references/search-discovery.md) Search & Discovery

Best Practices

✅ DO

  • Start with user research
  • Conduct card sorting studies
  • Use user mental models
  • Keep hierarchy 3 levels deep max
  • Use clear, simple labels
  • Enable multiple ways to find content
  • Test navigation with users
  • Update based on usage data
  • Document taxonomy
  • Provide search functionality

❌ DON'T

  • Impose organizational structure without research
  • Use jargon or technical terms
  • Make hierarchy too deep
  • Bury important content
  • Rely only on navigation (provide search)
  • Change navigation frequently
  • Create ambiguous labels
  • Forget about edge cases
  • Ignore accessibility
  • Assume desktop-only navigation