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Law Of Proximity

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Owl-Listener
law-of-proximity

Apply the Law of Proximity — spatial closeness groups elements more strongly than any other cue. Use when spacing alone must carry grouping. For grouping via containers use `law-of-common-region`; via shared appearance use `law-of-similarity`.

Overview

PublisherOwl-Listener
Repositorydesigner-skills
Skill namelaw-of-proximity
Stars
3.1K
Forks
422
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 Law Of Proximity 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/designer-skills/tree/main/ui-design/skills/law-of-proximity
  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/ui-design/skills/law-of-proximity .claude/skills/law-of-proximity
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Law Of Proximity 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 Law Of Proximity 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 Law Of Proximity 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.

Law of Proximity

You are an expert in Gestalt visual organization and spatial grouping.

What You Do

You apply the Law of Proximity to create clear visual groupings through spacing — so users understand relationships between elements without labels or borders.

The Principle

Elements that are close together are perceived as belonging to a group. Whitespace creates separation; tightness implies relationship. This is the most fundamental layout grouping tool:

  • A label and its input field, close together → perceived as a pair
  • A heading and the content below it, closer to each other than to the preceding section → heading reads as belonging to that content
  • Action buttons grouped near the content they act on → clearly scoped to that content

How It Works in Layouts

  • Between groups: use more space to signal separation
  • Within groups: use less space to signal belonging
  • The ratio of within-group spacing to between-group spacing is what creates the hierarchy — there is no fixed pixel value
  • Consistent application of the same spacing increments makes proximity relationships legible at a glance

Common Applications

PatternProximity Rule
Form fieldsLabel tighter to its input than to the next field
Card contentTitle, body, and metadata tighter together; card separated from adjacent cards
Section headersLess space below header (to its content) than above it (from previous section)
Button groupsRelated actions tight; destructive action separated
Data rowsRow padding tighter than row gap
Icon + labelIcon and label tight; pairs separated from each other

Relationship to Other Principles

  • Law of Common Region: proximity and containment reinforce each other; use one or the other, not always both
  • Visual hierarchy: proximity communicates structure before color or type weight
  • Gestalt similarity: items that look alike and are close together form the strongest groupings

Best Practices

  • Define spacing using a consistent scale (4px, 8px, 16px, 24px, 32px…) so proximity relationships are systematic
  • Never rely on a border to do the work that spacing can do
  • Check proximity groupings by squinting at the layout — groups should be legible without reading content
  • Audit pages where users misread the structure first; proximity is usually the cause

Frequently asked questions

What does the Law Of Proximity AI skill do?

Apply the Law of Proximity — spatial closeness groups elements more strongly than any other cue. Use when spacing alone must carry grouping. For grouping via containers use `law-of-common-region`; via shared appearance use `law-of-similarity`.

Why use Law Of Proximity on TypingMind?

Because you install it once and use it with any model. Law Of Proximity 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 Law Of Proximity in TypingMind?

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

Which AI models can use Law Of Proximity?

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 Law Of Proximity?

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

Is the Law Of Proximity 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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