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Wayfinding Navigation

Community
Owl-Listener
wayfinding-navigation

Design navigation and information architecture for cognitive accessibility. Use when designing or reviewing navigation, site maps, page hierarchies, breadcrumbs, search, multi-step flows, or any structure where users need to find content and know where they are. Triggers on: users get lost, navigation, wayfinding, information architecture, breadcrumbs, findability, site map, confusing structure, where am I.

Overview

PublisherOwl-Listener
Repositoryinclusive-design-skills
Skill namewayfinding-navigation
Stars
108
Forks
28
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by Owl-Listener on GitHub. Read the source before you install it.

Installation

Install the Wayfinding Navigation 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/Owl-Listener/inclusive-design-skills/tree/main/cognitive-accessibility/skills/wayfinding-navigation
  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/Owl-Listener/inclusive-design-skills.git /tmp/inclusive-design-skills
mkdir -p .claude/skills
cp -r /tmp/inclusive-design-skills/cognitive-accessibility/skills/wayfinding-navigation .claude/skills/wayfinding-navigation
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Wayfinding Navigation 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 Wayfinding Navigation 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 Wayfinding Navigation 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.

Wayfinding and Navigation

Design navigation so that people with cognitive and memory difficulties can find content, understand where they are, and get back to where they were — without relying on memory.

Core Principle

Users should always be able to answer three questions instantly:

  1. Where am I?
  2. Where can I go?
  3. How do I get back?

If any answer requires more than 1 second of thought, the navigation has failed.

Design Patterns

Signpost Pattern

  • Breadcrumbs in hierarchies deeper than 2 levels
  • Step indicators in multi-step flows ("Step 2 of 4")
  • Active section highlighted in navigation
  • Page titles that match the link that brought the user here

Minimal Path Pattern

  • Important actions reachable in 1–2 clicks from any screen
  • Breadth over depth — flatten deep hierarchies
  • Shortcuts to frequently used content
  • "Back to [last meaningful location]" always available

Multiple Routes Pattern

  • Search AND browse AND shortcuts for all important content
  • Don't force a single path to any destination
  • "Jump to" links for long pages
  • Recently visited and frequently used sections accessible

Chunking Pattern

  • Break long content into headed sections (3–5 paragraphs each max)
  • Table of contents for pages longer than 3 screens
  • Progressive disclosure for detail
  • Group related form fields into labelled fieldsets

Assessment Checklist

  • Every page has a clear, descriptive title
  • Navigation is consistent across all pages (same position, same order)
  • Current location is always visually indicated
  • Breadcrumbs or back links are present in hierarchies
  • Multi-step flows show progress and allow backward movement
  • Search is available on every page
  • Important actions are reachable in 2 clicks or fewer
  • Headings describe content (not just categories)
  • Link text describes the destination (no "click here")

Output Format

When reviewing: identify navigation failures with specific locations and recommended fixes. When designing: present the information architecture with cognitive accessibility annotations.

Frequently asked questions

What does the Wayfinding Navigation AI skill do?

Design navigation and information architecture for cognitive accessibility. Use when designing or reviewing navigation, site maps, page hierarchies, breadcrumbs, search, multi-step flows, or any structure where users need to find content and know where they are. Triggers on: users get lost, navigation, wayfinding, information architecture, breadcrumbs, findability, site map, confusing structure, where am I.

Why use Wayfinding Navigation on TypingMind?

Because you install it once and use it with any model. Wayfinding Navigation 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 Wayfinding Navigation in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Owl-Listener/inclusive-design-skills/tree/main/cognitive-accessibility/skills/wayfinding-navigation. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Wayfinding Navigation?

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 Wayfinding Navigation?

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

Is the Wayfinding Navigation AI skill free?

Yes. It is published on GitHub by Owl-Listener 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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