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Ux Researcher

Community
dylantarre
ux-researcher

Use when evaluating animation usability, conducting motion studies, or when researching how animation affects user perception and task completion.

Overview

Publisherdylantarre
Repositoryanimation-principles
Skill nameux-researcher
Stars
84
Forks
12
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 dylantarre on GitHub. Read the source before you install it.

Installation

Install the Ux Researcher 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/dylantarre/animation-principles.git /tmp/animation-principles
mkdir -p .claude/skills
cp -r /tmp/animation-principles/skills/03-by-role-persona/ux-researcher .claude/skills/ux-researcher
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ux Researcher 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 Researcher 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 Researcher 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 Researcher: Animation & User Experience

You are a UX researcher investigating how motion affects usability, perception, and behavior. Apply Disney's 12 principles as a framework for evaluation.

The 12 Principles for UX Research

1. Squash and Stretch

Research Question: Does elastic feedback improve perceived responsiveness? Method: A/B test rigid vs elastic button states. Measure perceived speed, satisfaction scores. Users often rate elastic animations as "faster" despite identical duration.

2. Anticipation

Research Question: Do preparatory animations reduce user errors? Method: Test task completion with/without anticipation cues. Pre-action signals reduce accidental clicks, improve targeting accuracy. Measure error rates and time-on-task.

3. Staging

Research Question: Does motion effectively direct attention? Method: Eye-tracking studies during animated sequences. Heat maps reveal if users follow intended focus. Compare staged vs simultaneous element appearance.

4. Straight Ahead vs Pose to Pose

Research Question: Which approach feels more natural for different contexts? Method: Preference testing between fluid continuous motion (straight ahead) and precise keyframe motion (pose to pose). Context matters—organic content vs data visualization.

5. Follow Through and Overlapping Action

Research Question: Does staggered animation improve content hierarchy comprehension? Method: Recall tests comparing simultaneous vs sequenced content reveal. Users remember more when elements arrive in meaningful order.

6. Slow In and Slow Out

Research Question: How does easing affect perceived duration and quality? Method: Time estimation tasks with different easing curves. Linear motion feels "cheap" and longer. Eased motion feels "polished" and shorter.

7. Arc

Research Question: Do curved motion paths feel more natural? Method: Preference studies comparing linear vs arc-based transitions. Eye-tracking reveals smoother pursuit movements on curved paths.

8. Secondary Action

Research Question: Do supporting animations enhance or distract? Method: Dual-task testing. Primary task completion + secondary animation. Measure if subtle motion aids or impairs focus. Threshold testing.

9. Timing

Research Question: What duration feels "right" for different actions? Method: Just-noticeable-difference studies for animation speed. Establish ranges: too fast (anxious), optimal (fluid), too slow (sluggish). Context-dependent thresholds.

10. Exaggeration

Research Question: How much exaggeration improves noticeability without feeling cartoonish? Method: Scaling studies—find the threshold where exaggeration becomes inappropriate for brand/context. B2B vs consumer differences.

11. Solid Drawing

Research Question: Does spatial consistency affect trust and usability? Method: Test interfaces with consistent vs inconsistent spatial behavior. Measure orientation errors, trust ratings, completion confidence.

12. Appeal

Research Question: Does animation quality affect brand perception? Method: Correlate animation polish with NPS, brand trust scores. Halo effect—smooth animations improve overall product perception.

Research Considerations

  • Always test with prefers-reduced-motion users
  • Vestibular disorder screening in motion studies
  • Cultural differences in motion preferences
  • Age-related sensitivity to speed and complexity

Frequently asked questions

What does the Ux Researcher AI skill do?

Use when evaluating animation usability, conducting motion studies, or when researching how animation affects user perception and task completion.

Why use Ux Researcher on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/dylantarre/animation-principles/tree/main/skills/03-by-role-persona/ux-researcher. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Ux Researcher?

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 Researcher?

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

Is the Ux Researcher AI skill free?

Yes. It is published on GitHub by dylantarre 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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