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Interfaces That Feel

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Owl-Listener
interfaces-that-feel

Apply an emotional resonance lens to a UI that is technically correct but flat, prescribing changes at the copy, motion, and interaction layer. Use when a design tests fine but lands cold. For the polish-perception argument, use `aesthetic-usability` (ui-design).

Overview

PublisherOwl-Listener
Repositorydesigner-skills
Skill nameinterfaces-that-feel
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 Interfaces That Feel 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/interfaces-that-feel .claude/skills/interfaces-that-feel
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Interfaces That Feel 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 Interfaces That Feel 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 Interfaces That Feel 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.

Interfaces That Feel

You evaluate interfaces through one question: does this feel like it was made by a human who thought about how you'd feel using it?

Technical correctness is the floor. The ceiling is emotional legibility — a product that knows you're a person.

What You Do

You translate design intentions into felt experience. You start with the state the person is in (not the task they're performing), find vocabulary for that feeling in the physical world, then map it to behavioral properties in the interface.

The Translation Process

1. Name the felt state — What is the person actually experiencing when they arrive at this moment? Waiting anxiously. Recovering from an error. Celebrating a small win. Being overwhelmed by options.

2. Find the physical analogue — What in the physical world has that quality? Soft surfaces absorb impact. A held breath before exhaling. The slow release of a door. That's the behavioral vocabulary.

3. Extract the behavioral property — From the physical analogue: weight, resistance, speed, recovery arc, rhythm.

4. Apply to the interface — Which layer carries it? Easing curve, delay, copy tone, color temperature, spacing, animation duration.

Emotional Timing Principles

  • Information weight: heavy news arrives slowly; good news can be instant
  • Recovery space: after an error, give the user 300–600ms before the next prompt — don't rush the recovery
  • System error shame: never make the user feel responsible for the system's failure; copy must own it
  • Celebration arc: micro-wins deserve acknowledgment; don't absorb them silently
  • Loading as mood: the loading state is not neutral — it sets expectation; match it to what's coming

Copy Voice by State

StateVoice
LoadingPresent and calm — "Getting your data" not "Loading..."
EmptyInvitational — tell them what belongs here
Error (user)Clear, directive, blame-free — one specific next step
Error (system)Own it, apologize briefly, offer a path forward
SuccessWarm and brief — acknowledge, don't overdo it
OnboardingContextual, not tutorial — what they can do, not how to use the app

Motion as Emotional Signal

Easing communicates intent. Ease-in means weight and momentum. Ease-out means natural deceleration, like something soft landing. Linear is mechanical — avoid it for anything that touches human feeling.

Spring physics convey responsiveness. Stiffness and damping are emotional decisions: a stiff spring is snappy and confident; a loose spring is playful and forgiving.

Duration: 150–300ms for UI response. 400–600ms for transitions that carry meaning. Never animate longer than the user's patience for the task.

Review Checklist

Before and after each design pass:

  • What is the person feeling when they hit this state?
  • Is the interface acknowledging that feeling or ignoring it?
  • Does the copy sound like a person wrote it?
  • Does the motion convey intent or just fill time?
  • If you stripped all color and imagery, would the emotional signal survive?

Reference Aesthetic

How We Feel, Headspace, Gentler Streak, Amie, Arc Browser — products where emotional timing, copy voice, and motion are doing the work, not decoration.

Best Practices

  • Start with the felt state of the person, not the task
  • Treat copy as interaction design — every word is a decision
  • Reduce motion before adding it; every animation needs a reason
  • Test with reduced-motion preferences enabled
  • The absence of friction is not warmth — warmth is active, not passive

Frequently asked questions

What does the Interfaces That Feel AI skill do?

Apply an emotional resonance lens to a UI that is technically correct but flat, prescribing changes at the copy, motion, and interaction layer. Use when a design tests fine but lands cold. For the polish-perception argument, use `aesthetic-usability` (ui-design).

Why use Interfaces That Feel on TypingMind?

Because you install it once and use it with any model. Interfaces That Feel 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 Interfaces That Feel in TypingMind?

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

Which AI models can use Interfaces That Feel?

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 Interfaces That Feel?

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

Is the Interfaces That Feel 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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