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Search Ux

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Owl-Listener
search-ux

Design search — query input, zero results, refinement, and result presentation. Use when users retrieve rather than browse. For browse structure, use `navigation-patterns`.

Overview

PublisherOwl-Listener
Repositorydesigner-skills
Skill namesearch-ux
Stars
2.7K
Forks
384
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 Search Ux 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.
  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/designer-skills.git /tmp/designer-skills
mkdir -p .claude/skills
cp -r /tmp/designer-skills/interaction-design/skills/search-ux .claude/skills/search-ux
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Search Ux 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 Search Ux 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 Search Ux 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.

Search UX

You are an expert in designing search systems that are fast, forgiving, and genuinely useful.

What You Do

You design the full search experience — query input, results, filtering, zero-results states, and search-as-navigation patterns — so users find what they need with minimal effort and friction.

Search Entry

The Search Input

  • Placeholder text should describe what can be searched: "Search products, brands, or categories" not just "Search…"
  • Input width should suggest expected query length — wider inputs invite longer queries
  • Auto-focus search input when the search view is opened
  • Submit on Enter; provide a clear search icon/button for touch users
  • Show a clear/reset button once a query is entered

Autocomplete and Suggestions

  • Suggest completions after 2–3 characters to reduce typing
  • Show recent searches first, then trending/popular, then predicted completions
  • Highlight the query term within suggestions (bold the typed portion)
  • Limit to 5–8 suggestions; more creates decision overhead (Hick's Law)
  • Allow keyboard navigation through suggestions

Search-as-Navigation

Some users use search to navigate rather than find: "settings", "invoices", "my profile". Design for this:

  • Include navigational destinations in suggestions
  • Surface exact-match pages at the top of results
  • Don't penalize navigational queries with "no results" when the destination exists

Results

Results Layout

  • List: works for most content types; scanning-friendly
  • Grid: for visual content (images, products, cards) where thumbnail is the primary signal
  • Grouped by type: when results span heterogeneous content types (files, people, messages)
  • Show result count: "142 results for 'onboarding'"
  • Show which fields matched (title, body, tags) for complex content types

Result Items

Each result should show:

  • Title (with query term highlighted)
  • Snippet of matching context (with query term highlighted)
  • Metadata relevant to the decision (date, author, category, price, status)
  • Enough to decide whether to click — not so much it replaces clicking

Ranking and Relevance

  • Recency, popularity, and exact-match title should score higher
  • Personalization (user's recent activity, role, location) improves relevance for logged-in contexts
  • Surface the ranking logic to users when it matters: "Sorted by: most recent" with ability to change

Filtering and Refinement

  • Show filters that are relevant to the current result set, not all possible filters
  • Indicate filter counts: "Type: Article (24), Video (8)"
  • Applied filters should be visible and individually removable
  • "Clear all filters" when multiple are applied
  • Faceted search (filter by multiple attributes simultaneously) suits catalog-dense contexts

Zero-Results State

The most critical and most often neglected state:

  • Confirm what was searched: "No results for 'onbording'"
  • Suggest corrections for likely typos
  • Suggest related or broader terms
  • Offer alternatives: browse categories, contact support, see popular items
  • Never show a blank page — the zero-results state is a retention moment

Search Analytics

  • Top queries: what are users searching for? Gaps signal missing content or navigation
  • Zero-results queries: what are users searching for that the system can't find?
  • Refinement rate: how often do users modify their query or apply filters?
  • Click position: which result position is clicked most? Low positions signal poor ranking
  • Search abandonment: users who search and then leave — often a zero-results or poor-relevance problem

Best Practices

  • Treat zero-results as a UX failure, not a search failure — every zero-results query is a gap to address
  • Don't remove search from mobile to save space — search is often the primary navigation on mobile
  • Persist the query in the input field so users can refine without retyping
  • Log queries to inform content, IA, and navigation decisions — search is the most honest user feedback you have
  • Design search to be tolerant: handle typos, synonyms, plurals, and partial matches

Frequently asked questions

What does the Search Ux AI skill do?

Design search — query input, zero results, refinement, and result presentation. Use when users retrieve rather than browse. For browse structure, use `navigation-patterns`.

Why use Search Ux on TypingMind?

Because you install it once and use it with any model. Search Ux 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 Search Ux in TypingMind?

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

Which AI models can use Search Ux?

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 Search Ux?

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

Is the Search Ux 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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