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Ux Designer

Organization
PyModel
ux-designer

UX principles for planning or auditing an interface: accessibility (WCAG, EAA), information architecture, microcopy, i18n/RTL, and AI or voice UX.

Overview

PublisherPyModel
Repositorydesigner-skill
Skill nameux-designer
Stars
49
Forks
5
Bundled files
26
LicenseMIT
Links
Skill sourceRepositoryHomepage
  • 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.

  • 26 bundled files

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

  • Open source

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

Installation

Install the Ux Designer 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/PyModel/designer-skill/tree/main/skills/ux-designer
  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/PyModel/designer-skill.git /tmp/designer-skill
mkdir -p .claude/skills
cp -r /tmp/designer-skill/skills/ux-designer .claude/skills/ux-designer
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ux Designer 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 Ux Designer 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 Ux Designer 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.

UX Designer Skill

A UX depth library. Read the reference for the task before designing or reviewing; each number and pattern has one home there, so cite the reference rather than restating values from memory.

Lens

Rank every decision by the UX hierarchy of needs: functional, then reliable, usable, convenient, and only then pleasurable.

  • Calm over busy. Motion, color and density earn their place by aiding understanding.
  • AI as copilot, not autopilot. AI help is optional, labeled, reversible and transparent.
  • Responsible adaptation. Adapt to real user needs and context; never manipulate through opaque personalization.
  • Judgment over polish. Research, correctness and knowing when not to add something are the value.

Baseline

Every interface, whatever the task:

  • Every interactive element is reachable and operable by keyboard, with a visible focus state and an accessible name and role.
  • Color never carries information alone; images have text alternatives.
  • Every action produces a visible response; motion respects prefers-reduced-motion.
  • Errors appear next to their field in plain language.
  • Consent is symmetric: equal-prominence accept and reject, nothing pre-checked, cancellation as easy as sign-up, neutral decline copy.
  • Strings are externalized and layouts survive translation and dir="rtl".

References

TaskReference
Usability heuristics, mental models, anti-pattern audit index01-core-principles
Laws of UX (Fitts, Hick, Miller, Jakob)02-laws-of-ux
WCAG 2.2 AA and EAA accessibility03-accessibility
Visual hierarchy, typography, spacing04-visual-design
Navigation, wayfinding, content structure05-information-architecture
Feedback, states, gestures, modal vs panel vs page06-interaction-design
Forms, validation, input types07-forms-and-inputs
Mobile ergonomics and thumb zones08-mobile-ux
UX writing and microcopy09-ux-writing
User research methods10-user-research
Design system foundations and governance11-design-systems
Presence, live cursors, avatars12a-presence-awareness
Conflicts, sync, sharing, offline12b-conflict-resolution-sync
Canvas zoom, pan, selection13a-canvas-navigation
Canvas objects, layers, performance13b-canvas-objects-performance
AI chat, copilots, agents, generative UI14-ai-ux-patterns
Dark patterns and consent15-ethical-design
Onboarding and activation16-onboarding
Notifications, toasts, attention17-notifications
Dashboards and data visualization18-data-visualization
Search and autocomplete19-search-ux
Emotional design and trust20-emotional-design
Data tables, pagination, bulk actions21-data-tables
Loading, skeletons, optimistic updates22-performance-ux
Internationalization and RTL23-internationalization
Voice, multimodal, cross-device input24-voice-and-multimodal

For an audit, walk the anti-pattern index in 01-core-principles and report each hit with its reference.

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 Ux Designer AI skill do?

UX principles for planning or auditing an interface: accessibility (WCAG, EAA), information architecture, microcopy, i18n/RTL, and AI or voice UX.

Why use Ux Designer on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/PyModel/designer-skill/tree/main/skills/ux-designer. 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 Ux Designer?

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 Ux Designer?

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

Is the Ux Designer AI skill free?

Yes. It is published on GitHub by PyModel 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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