law-of-similarity

law-of-similarity is a skill for Claude Code from Owl-Listener/designer-skills. It costs 47 tokens per session (887 once invoked), scanned A, original, MIT.

A visual design guideline in which shared colours, shapes, sizes, or styles show that interface elements belong together.

In plain words
What is it for?
Use it to create consistent visual categories, icon styles, control states, and peer relationships across an interface.
Why use it?
It helps users recognise related items even when they are separated on the page, without needing extra labels.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the ui-design plugin — 19 skills, 5 commands shipped together

not rated 2.6krepo +89 6d ago A scan Socket: passSnyk: passSkillSpector: pass 47 tokens original MIT

Good fit Use it to create consistent visual categories, icon styles, control states, and peer relationships across an interface.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/owl-listener/designer-skills/law-of-similarity
About the project

Owl-Listener/designer-skills is a collection of AI-agent skills, commands, and plugins for design work, covering research, design systems, interfaces, interaction, and delivery. Designers and developers use it inside coding assistants to guide design tasks, and the catalogue entries represent selected parts of that larger collection.

Owl-Listener/designer-skills · 2,619 stars · on GitHub

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add Owl-Listener/designer-skills --skill law-of-similarity
Clone the repo
git clone --depth 1 https://github.com/Owl-Listener/designer-skills

Made for: Claude Code.

Or install ui-design, the plugin that ships this one along with the rest of its 19 skills, 5 commands.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for law-of-similarity

README.md
[![agentmods](https://agentmods.dev/badge/skills/owl-listener/designer-skills/law-of-similarity/github.svg)](https://agentmods.dev/skills/owl-listener/designer-skills/law-of-similarity)
Your own site
<a href="https://agentmods.dev/skills/owl-listener/designer-skills/law-of-similarity"><img src="https://agentmods.dev/badge/skills/owl-listener/designer-skills/law-of-similarity/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for law-of-similarity

Your own site · 80×15
<a href="https://agentmods.dev/skills/owl-listener/designer-skills/law-of-similarity"><img src="https://agentmods.dev/badge/skills/owl-listener/designer-skills/law-of-similarity.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 47 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 887 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • Socket pass 10 Aug 2026
  • Snyk pass 10 Aug 2026
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00047 $0.00887
Opus 5 $0.00023 $0.00443
Sonnet 5 $0.00009 $0.00177
Haiku 4.5 $0.00005 $0.00089

Measured 9d ago against content hash 06db562ff83e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

law-of-similarity scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

ui-design/skills/law-of-similarity/SKILL.md · 78 lines

How it starts

The opening of the file, as written. The whole thing — 78 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Law of Similarity

You are an expert in Gestalt visual perception and systematic visual language design.

What You Do

You apply the Law of Similarity to use shared visual attributes — shape, color, size, and style — to signal that elements belong to the same category or group, and to maintain that coding consistently so the signal stays meaningful.

The Principle

Elements that share visual characteristics are perceived as related, even when they are not spatially adjacent. The mind groups by likeness automatically and without instruction.

Similarity can be carried through:

  • Color: same fill signals same category, role, or state
  • Shape: icons all the same style (outline vs. filled vs. rounded) read as a set
  • Size: elements of equal size read as peers; size difference signals hierarchy
  • Style: same illustration weight, same type treatment, same corner radius, same stroke width

Similarity vs. Proximity

These are the two most fundamental Gestalt grouping principles. They interact and can conflict:

Situation What happens
Elements close together, same color Both reinforce — strongest grouping signal
Elements far apart, same color Similarity groups them despite the distance
Elements close together, different colors Proximity and similarity compete; the color pulls them into different sub-groups
Elements close together, different styles Proximity groups the set; style difference creates sub-groups within it

When they conflict, similarity can override proximity: a red element embedded in a group of blue elements reads as distinct even if it is spatially adjacent. Use this deliberately to signal category boundaries.

Design Applications

Interactive state signaling

All interactive elements should share a visual property (color, underline treatment, cursor affordance) that non-interactive elements do not. This tells users what is actionable without requiring explicit instruction — the similarity set defines the interactive category.

Read the full file on GitHub · 78 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 9d ago First seen · 78 lines · 47 tokens per session scan A 06db562ff83e

Subscribe to this mod's changes

law-of-similarity is a skill published in the GitHub repository Owl-Listener/designer-skills (2,619 stars, last pushed 6d ago), licensed MIT. It adds 47 tokens to every session and 887 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

Related

Other skills, from other repositories

ui-review

Review UI code for StyleSeed design-system compliance, accessibility, mobile ergonomics, spacing discipline, and implementation quality.

LiHongwei-cn/lihongwei-cn · 26 tokens

design-system

Use this skill BEFORE writing or restyling ANY user-facing interface in WrongStack. It drives the Design Studio engine: commit to a kit, tune it (radius / density / font / motion), materialize the tokens into a real theme file, build against those tokens, then verify adherence. Trigger it whenever the user asks to…

WrongStack/WrongStack · 248 tokens

accessibility-a11y

Semantic HTML, keyboard navigation, focus states, ARIA labels, skip links, and WCAG contrast requirements. Use when ensuring accessibility compliance, implementing keyboard navigation, or adding screen reader support.

BlackBeltTechnology/pi-agent-dashboard · 44 tokens

tailwind-shadcn

Tailwind CSS utility patterns with shadcn/ui component usage, theming via CSS variables, and responsive design. Use when styling components, installing shadcn components, implementing dark mode, or creating consistent design systems.

BlackBeltTechnology/pi-agent-dashboard · 50 tokens

anti-slop-frontend

A mechanical, countable anti-slop checklist for AI-generated frontend. Catches the specific signatures an undirected model defaults to: AI-purple glows, Inter-everywhere, em-dashes, div-based fake screenshots, eyebrow-on-every-section, beige+brass "premium" palettes, generic Jane Doe / Acme data. Advisory layer that…

BlackBeltTechnology/pi-agent-dashboard · 147 tokens

frontend-mockup-loop-dashboard

Dashboard-specific adapter on the generic frontend-mockup-loop skill: binds the 7-step design loop to pi-agent-dashboard component sources, theme-system tokens, and isolated verification. Use when designing/redesigning any pi-agent-dashboard client surface. Triggers: "design a dashboard screen", "mockup a dashboard…

BlackBeltTechnology/pi-agent-dashboard · 83 tokens