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Closure

Community
Deibler
closure

Apply the Gestalt principle of Closure — the perceptual tendency to see incomplete shapes as whole. Use when designing icons (a few strokes can imply a closed shape), illustrations (negative space defines forms), logos (the IBM stripes, the WWF panda, the FedEx arrow), card layouts (cards don't need full borders to feel like containers), or any visual that benefits from suggested rather than fully drawn shapes. Closure lets you communicate more with less; the user's perception completes the form.

Overview

PublisherDeibler
Repositoryuniversal-design-principles
Skill nameclosure
Stars
9
Forks
3
Bundled files
1
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.

  • 1 bundled files

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

  • Open source

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

Installation

Install the Closure 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/Deibler/universal-design-principles/tree/main/plugins/perception-and-hierarchy-principles/skills/closure
  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/Deibler/universal-design-principles.git /tmp/universal-design-principles
mkdir -p .claude/skills
cp -r /tmp/universal-design-principles/plugins/perception-and-hierarchy-principles/skills/closure .claude/skills/closure
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Closure 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 Closure 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 Closure 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.

Closure

Definition. Closure is the Gestalt principle that the visual system tends to perceive incomplete shapes as complete — to "close" gaps in outlines and recognize implied forms. A circle with small breaks in its outline is still seen as a circle. A few strokes that suggest a face are perceived as a face. Negative space between objects can imply a third object that isn't actually drawn. The brain fills in what isn't there.

The classic Gestalt demonstrations of closure use simple shapes with strategic gaps. A "circle" made of 12 dot pairs around its circumference reads as a circle, not as 24 dots. A "triangle" formed by three Pac-Man-shaped figures (the Kanizsa triangle) is perceived clearly even though no triangle is actually drawn — only the gaps imply one.

This perceptual tendency has substantial design value. It lets you communicate forms with less visual information than would be needed to draw them fully. The result is interfaces that feel light, illustrations that feel modern, logos that work at many sizes, and visual cues that work even at minimum scale.

Why closure matters

Closure does several useful jobs in design:

Visual economy. A form suggested by a few strokes is faster to read than a fully-rendered form, and it scales better — a partial shape can communicate at sizes where a fully detailed shape would be a blur.

Visual elegance. Designs that exploit closure feel modern and crafted. The viewer participates in completing the form, which creates a small moment of cognitive engagement.

Memorable iconography. Logos and icons that use closure are often more memorable than fully-drawn equivalents. The FedEx logo's hidden arrow (in the negative space between E and X) is a famous example — once you see it, you can't unsee it.

Reduced visual weight. A card with subtle visual cues at its corners (rather than a full border) feels lighter than a card with a heavy outline. The closure principle lets the user perceive the container even though most of its border isn't drawn.

When to use closure

Icon design. A simple icon often communicates more clearly than a detailed one. A few strokes that imply the form let the user's perception complete it.

Logo design. Marks that exploit closure (hidden shapes in negative space, partial outlines that suggest the whole) are more memorable and often more flexible across sizes.

Card layouts. Cards don't always need full borders. Subtle background tinting, drop shadow, or just consistent spacing can imply containment without drawing every edge.

Illustration. Modern illustration often relies on suggested forms — silhouettes, abstracted shapes, partial details. The viewer fills in what's not shown.

Charts and diagrams. Implied baselines, suggested axes, and visual rhythms can replace explicit lines and grids, reducing visual noise while preserving the structure.

Diagnosing closure problems

When closure fails, the user perceives the form as broken or incomplete rather than as a whole. Symptoms:

The "form" doesn't read as one shape. Users see disconnected parts rather than the implied whole. The gaps are too large or the parts too varied.

An icon's meaning is unclear. The simplification went too far; the user can't recognize what the icon depicts.

Cards or containers feel ambiguous. Without a clear edge cue, users aren't sure where one container ends and another begins.

Negative-space shapes go unnoticed. A hidden shape in a logo that no one ever sees. The closure works only if the suggestion is strong enough.

Sub-skills in this cluster

  • closure-implied-shapes — Designing forms that exploit closure: icons with partial outlines, logos with negative-space shapes, illustrations with suggested rather than drawn forms.
  • closure-completion-cost — When closure is the wrong choice: situations where the user shouldn't have to do completion work (high-stakes interfaces, accessibility-critical contexts, novice users).

Worked examples

A minimal card layout

A dashboard shows cards with content. Instead of a full border around each card, the cards have:

  • A slight elevation (subtle drop shadow).
  • Consistent internal padding.
  • A clear color change (white on a slightly darker background).

The user perceives each card as a contained unit, even though no edge is fully drawn. The closure principle does the work of containment with less visual weight than a full border would.

A logo with a hidden shape

The FedEx logo: the white space between the E and the X forms an arrow. Once you see it, you always see it. The arrow communicates speed and forward-motion without being explicitly drawn. The closure principle lets the negative space carry meaning.

The WWF panda logo similarly uses closure: the panda's body is suggested by a few black shapes; the white parts of the panda are entirely implied. Yet the form is unmistakable.

An icon that uses partial outlines

A "send" icon often shows a paper airplane silhouette, sometimes with the back fold suggested by a single line rather than fully drawn. The user perceives the airplane through the suggested form. At small sizes, the partial drawing actually reads more clearly than a fully detailed paper airplane would.

A loading spinner that uses closure

A common loading spinner: a circle with a gap that rotates. The gap implies the circle (the brain still sees a circle), and the rotation indicates progress. The minimal form is animated to convey "working" without filling the screen with detail.

Closure that fails: an over-simplified icon

A custom icon for "user settings" simplifies a person + gear shape into a few abstract curves. Users can't recognize the form; the simplification went too far. The closure principle requires the user to fill in the form, but they can't fill in something they don't recognize.

The fix: include enough recognizable features (a clear human silhouette + a clear gear) that the form is identifiable, then strip the rest.

Negative-space chart structure

A chart showing data over time uses a subtle baseline (a thin gray line) rather than a full axis with tick marks and gridlines. The implied structure is enough; the user reads the chart correctly without the explicit scaffolding. The chart feels lighter and more elegant.

Anti-patterns

Over-simplification. Stripping a form down past the point of recognizability. The closure principle requires that the user can complete the form; if they can't recognize what's being suggested, they can't complete it.

Closure used where clarity is critical. A "delete" icon rendered as a few abstract strokes that the user has to interpret. In high-stakes contexts, the user needs explicit forms, not suggested ones.

Closure for decoration. A logo or icon designed to "have a hidden shape" that's so subtle no one notices. If the closure isn't perceived, it's just decoration that adds nothing.

Container ambiguity. Cards without clear separation from each other or from the background. Users can't tell where one card ends and another begins. Either reduce the closure work (add more cues) or commit to fully-drawn containers.

Closure that works in one rendering and fails in another. A form that reads correctly at large sizes and breaks down at small sizes. Test at all the sizes the form will be used.

Closure ignoring accessibility. Forms suggested through visual cues that aren't accessible to users with vision differences. Some closure designs are inherently visual (a hidden shape in a logo); others can be supported with text alternatives.

Heuristic checklist

Before relying on closure, ask: Does the suggested form read as a recognizable whole at the actual rendering size? Test it. Will the user notice the closure? If the suggestion is too subtle, it adds nothing. Is the user audience equipped to do the completion work? Novices and accessibility audiences may benefit from explicit forms. Is closure being used to communicate, or just to decorate? Closure should do work, not just look clever.

Related principles

  • Gestalt grouping principles generally — closure is one of the original Gestalt principles.
  • Figure-ground relationship — closure interacts with figure-ground; what's perceived as "figure" tends to be the closed form.
  • Signal-to-Noise Ratio — closure reduces visual weight by suggesting rather than drawing.
  • Iconic Representation — minimal icons rely on closure to communicate.
  • Form Follows Function — the closure principle expresses the form's function with the minimum visual that does the job.

See also

  • references/lineage.md — origins in Gestalt psychology, particularly the Kanizsa illusions.
  • closure-implied-shapes/ — sub-skill on designing forms that exploit closure.
  • closure-completion-cost/ — sub-skill on when closure is the wrong choice.

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 Closure AI skill do?

Apply the Gestalt principle of Closure — the perceptual tendency to see incomplete shapes as whole. Use when designing icons (a few strokes can imply a closed shape), illustrations (negative space defines forms), logos (the IBM stripes, the WWF panda, the FedEx arrow), card layouts (cards don't need full borders to feel like containers), or any visual that benefits from suggested rather than fully drawn shapes. Closure lets you communicate more with less; the user's perception completes the form.

Why use Closure on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Deibler/universal-design-principles/tree/main/plugins/perception-and-hierarchy-principles/skills/closure. 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 Closure?

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 Closure?

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

Is the Closure AI skill free?

It is published on GitHub by Deibler. Check the repository for licensing terms. 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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