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Information Architecture

OrganizationPopular
rampstackco
information-architecture

Design the structure of a website or product including sitemap, navigation, URL structure, content types, taxonomy, and labeling. Use this skill whenever the user asks to plan a sitemap, design navigation, structure URLs, define content types, build taxonomies, design site search, or organize content at the system level. Triggers on sitemap, site structure, navigation, IA, information architecture, URL structure, content types, taxonomy, categorization, breadcrumbs, hub pages, faceted navigation, site search, labeling. Also triggers when content is being created without a structural plan, or when an existing site's structure is being audited or restructured.

Overview

Publisherrampstackco
Repositoryclaude-skills
Skill nameinformation-architecture
Stars
1K
Forks
134
Bundled files
2
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by rampstackco on GitHub. Read the source before you install it.

Installation

Install the Information Architecture AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/rampstackco/claude-skills/tree/main/skills/information-architecture
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/rampstackco/claude-skills.git /tmp/claude-skills
mkdir -p .claude/skills
cp -r /tmp/claude-skills/skills/information-architecture .claude/skills/information-architecture
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Information Architecture in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Information Architecture on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Information Architecture is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Information Architecture

Design the structure that holds the content. Stack-agnostic. Applies to marketing sites, product surfaces, knowledge bases, e-commerce, and editorial content.

A well-designed IA makes the rest of the project easier. A poorly-designed IA forces every downstream decision to fight the structure.


When to use

  • Designing a new site or major section from scratch
  • Restructuring an existing site
  • Adding a new content type or category
  • Designing site navigation or menu systems
  • Defining URL structure and slug patterns
  • Building taxonomies or tag systems
  • Auditing an existing IA for problems

When NOT to use

  • Single-page design (use design-standards)
  • Content production (use content-and-copy)
  • SEO-driven content planning (use seo-keyword)
  • Initial brand and audience discovery (use brand-discovery)

Required inputs

  • The site or product scope
  • The audience and what they're trying to do
  • The content that exists or is planned
  • Any constraints (parent IA, regulatory, technical)

If audience is unclear, run brand-discovery first. If content scope is unclear, run content-strategy first.


The framework: 6 layers

Information architecture has six layers. Each builds on the one below.

1. Mental models

Before structure, understand how the audience thinks about the domain.

  • What concepts do they group together naturally?
  • What words do they use? (Often different from what the company uses.)
  • What is the dominant frame of reference? (By task? By role? By topic? By time?)
  • What do they expect to find where, based on conventions in similar products?

Methods:

  • Card sorting (open or closed): Give the audience the content items, ask them to group them. Open card sorts surface natural groupings. Closed card sorts validate proposed groupings.
  • Tree testing: Give a proposed structure, ask users to find specific items. Surfaces where the structure breaks down.
  • First-click testing: Given a goal, where do users click first? If first clicks are wrong, the labels and structure are wrong.

2. Sitemap

The map of all pages and how they relate.

Sitemap deliverables:

  • A hierarchy diagram showing parent-child relationships
  • Indication of page types (static, dynamic, listing, detail)
  • Cross-references showing how pages relate beyond the hierarchy
  • Sometimes a separate user-flow overlay for key journeys

Sitemap types:

  • Hub-and-spoke (cornerstone content + supporting content): Common for content marketing
  • Tree (strict hierarchy, every page has one parent): Common for product documentation
  • Faceted (content lives in many overlapping categories): Common for e-commerce
  • Flat (everything reachable from the home): Common for small sites

Most sites blend types. Pick the dominant pattern and document the exceptions.

3. URL structure

URLs are part of the IA. They are user-facing, indexed by search engines, and shape how content is referenced.

URL principles:

  • Reflect the content hierarchy
  • Lowercase, hyphen-separated
  • Predictable (same pattern across same content type)
  • Stable (URLs don't change without redirects)
  • Short (under 60 characters where possible)
  • Descriptive (slug indicates the content)
  • Free of dates unless time-bound
  • Free of session IDs and tracking parameters in canonical form

Common patterns:

/                                   home
/[section]                          section landing
/[section]/[subsection]             subsection landing
/[section]/[subsection]/[item]      detail page
/blog                               blog index
/blog/[slug]                        blog post
/blog/category/[category]           category index
/blog/tag/[tag]                     tag index
/products                           product catalog
/products/[category]                category page
/products/[category]/[product]      product detail

Pick a pattern and stick to it. Inconsistent URL patterns confuse users, crawlers, and analytics.

4. Navigation

The chrome that gets users where they need to go.

Primary navigation:

  • The top-level structure of the site
  • Should reflect what the audience cares about, not what the org chart looks like
  • 5 to 7 items maximum (more becomes cognitively heavy)
  • Each label is recognizable in 2 to 3 words
  • Order matters (left/first gets the most attention)

Secondary navigation:

  • Within-section navigation
  • Often shown as sidebars, sub-menus, or in-page tabs
  • Supports the primary nav, doesn't duplicate it

Utility navigation:

  • Account, search, login, support
  • Visually subordinate to primary nav
  • Often top-right (LTR languages)

Breadcrumbs:

  • For nested hierarchies (3+ levels deep)
  • Always linked except the current page
  • Match the URL hierarchy or the conceptual hierarchy
  • Marked up with BreadcrumbList schema

Footer navigation:

  • Comprehensive; sometimes includes everything
  • Organized by category for findability
  • Includes secondary content (privacy, terms, contact)

5. Taxonomy and metadata

The classification system applied to content.

Categories:

  • A small, controlled list (typically 5 to 15)
  • Mutually exclusive ideal (one item, one category)
  • Used for structural navigation

Tags:

  • A larger, often growing list (50+)
  • Multi-assignment (one item, many tags)
  • Used for cross-cutting connections, related-content, and long-tail discovery

Metadata fields:

  • Author, date, content type, audience segment
  • Whatever is useful for filtering, sorting, and surfacing

Common failures:

  • Categories that overlap (item could go in 3 different categories)
  • Tags that are unmaintained (sprawl into thousands, become useless)
  • Metadata fields that get filled inconsistently
  • Different content types using different taxonomies for the same thing (chaos)

6. Labeling

What you call things.

Label principles:

  • Audience language, not internal language
  • Specific enough to be useful, short enough to scan
  • Consistent across the site (call it "Product" or "Solutions" but not both)
  • Tested with real users (closed card sort or tree test surfaces label problems)

Common label problems:

  • "Solutions" (vague; usually means "products with marketing copy")
  • "Resources" (catch-all; everything ends up there)
  • Internal jargon ("PRD," "OKRs") that doesn't match user vocabulary
  • Labels that change meaning across the site

Workflow

  1. Understand the audience and content. Use existing discovery and content strategy if available.
  2. Card sort or interview to surface mental models.
  3. Draft the sitemap. Hierarchy, page types, cross-references.
  4. Define URL patterns. One pattern per content type.
  5. Design navigation. Primary, secondary, utility, footer, breadcrumbs.
  6. Build taxonomy. Categories (controlled, small) and tags (open, large).
  7. Validate labels. Tree test or closed card sort with target users, or state the gap per the data-availability rule.
  8. Document. Use the template in references/ia-document-template.md.
  9. Hand off to design and development. IA decisions inform navigation components, URL routing, and taxonomy implementation.

Failure patterns

  • IA designed by org chart. "Engineering" and "Marketing" sections make sense to the company, not to the audience.
  • Categories that proliferate. Every team adds a category for their thing. Becomes unscannable. Hold the line at 5 to 15.
  • Tags that sprawl. No tag governance. Tags become a junk drawer.
  • Inconsistent URL patterns. Some posts at /blog/[slug], some at /[slug], some at /articles/[slug]. Pick one.
  • Navigation that hides primary content. The most important pages should be one click from home.
  • Search as a substitute for IA. "Just use search" is not a structure. Search supports IA, doesn't replace it.
  • No validation. Card sorts, tree tests, and first-click tests are cheap and surface huge problems early.
  • Treating IA as a one-time deliverable. IA evolves with content. Plan for evolution.

Output format

Default output is an IA document at information-architecture.md plus visual assets:

  1. Executive summary
  2. Audience and mental models (synthesized)
  3. Sitemap (hierarchical diagram)
  4. URL structure (per content type)
  5. Navigation specification (primary, secondary, utility, footer, breadcrumbs)
  6. Taxonomy (categories and tag governance)
  7. Labels (validated wording for navigation, categories, content types)
  8. Implementation notes for design and development

Visual deliverables:

  • Sitemap diagram (Whimsical, Figma, OmniGraffle, etc.)
  • Navigation wireframes for primary surfaces
  • Optional: card sort and tree test results

If required data is unavailable

This skill's output depends on data, measurements, or tool results it cannot generate on its own. When a required input, tool, or data source is unavailable or unverifiable, the sanctioned output is the deliverable with the gap stated: what was needed, what was actually obtained or verified, and which parts of the output are affected. Fabricating, estimating, or interpolating a required number to complete the deliverable is never sanctioned. A stated gap is a complete answer.


Reference files

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Information Architecture AI skill do?

Design the structure of a website or product including sitemap, navigation, URL structure, content types, taxonomy, and labeling. Use this skill whenever the user asks to plan a sitemap, design navigation, structure URLs, define content types, build taxonomies, design site search, or organize content at the system level. Triggers on sitemap, site structure, navigation, IA, information architecture, URL structure, content types, taxonomy, categorization, breadcrumbs, hub pages, faceted navigation, site search, labeling. Also triggers when content is being created without a structural plan, o...

Why use Information Architecture on TypingMind?

Because you install it once and use it with any model. Information Architecture is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Information Architecture in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/rampstackco/claude-skills/tree/main/skills/information-architecture. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Information Architecture?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Information Architecture?

As many as you like. As long as a model supports skills, you can use Information Architecture with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Information Architecture AI skill free?

Yes. It is published on GitHub by rampstackco under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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