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Editorial design skill for AI agents

Overview

The Editorial design skill is a comprehensive, implementation-ready design system guideline built for AI agents. It encodes the entire visual identity, component specifications, and interaction standards of the Editorial brand into a single SKILL.md file that any AI coding assistant can follow.

Editorial takes a modern, editorial approach to interface design — favoring refined typography, generous whitespace, and a restrained color palette that lets content breathe. Every rule in this skill file is anchored to a concrete token, threshold, or example — no ambiguous adjectives.

Style foundations

The Editorial design system is built on a modern, editorial visual style with carefully defined foundations.

Typography

The type scale uses Gelasio as the primary and display font, giving interfaces a distinctive editorial character with strong readability. Ubuntu Mono is used for code and monospaced elements. The scale follows a progression of 14 / 16 / 18 / 24 / 32 / 40 pixels, and all nine font weights (100–900) are available for precise typographic control.

Color palette

Token Hex Usage
Primary #111111 Primary actions, headings, and key UI elements
Secondary #F1F1F1 Backgrounds, secondary surfaces, and subtle fills
Success #16A34A Positive states and confirmations
Warning #D97706 Cautionary states and alerts
Danger #DC2626 Error states and destructive actions
Surface #FFFFFF Card and page backgrounds
Text #111827 Body text and content

The system uses semantic tokens across primary, secondary, neutral, and success palettes — so components reference tokens rather than raw hex values. The near-black primary paired with a light secondary creates high contrast and a classic editorial feel.

Spacing

All spacing follows an 8pt baseline grid to maintain a consistent vertical and horizontal rhythm across every component.

Component families

The Editorial skill covers a wide range of component families, organized into logical groups:

  • Inputs and forms — buttons, inputs, textareas, selects/comboboxes, checkboxes, radios, switches, date/time pickers, file uploaders
  • Data display — cards, tables, data lists, data grids, charts, stats/metrics, badges/chips, avatars
  • Navigation — breadcrumbs, pagination, steppers, sidebars, top bars/headers, tabs, command palette
  • Overlays — modals, drawers/sheets, tooltips, popovers/menus
  • Feedback — alerts/toasts, notifications center, progress indicators, skeletons, empty states
  • Pages — authentication screens, settings pages, onboarding, documentation layouts, pricing blocks, search
  • Visualization — data visualization wrappers, carousels, accordions

Each component family includes defined states (default, hover, focus-visible, active, disabled, loading, error), interaction behavior for keyboard, pointer, and touch, explicit token usage, and responsive behavior with edge cases.

Accessibility

This skill targets WCAG 2.2 AA compliance with a thorough accessibility baseline:

  • Keyboard-first interactions with visible focus states
  • Semantic HTML before ARIA attributes
  • Screen-reader tested labels on all interactive elements
  • Reduced-motion support for users who prefer less animation
  • Minimum 44px touch targets for mobile interactions
  • High-contrast mode support

When conflicts arise between aesthetics and accessibility, accessibility wins.

How to use this skill with AI agents

Pull the skill file into your project with a single command:

npx typeui.sh pull editorial

This saves the SKILL.md file directly into your project. From there you can use it with any AI coding tool — Claude, ChatGPT, Cursor, Windsurf, Copilot, or any other agent that accepts context files, system prompts, or knowledge documents.

The file is standard markdown. Copy it into a project knowledge base, reference it as context in a prompt, upload it as a knowledge file, or drop it into a rules directory. The structured format ensures consistent results regardless of which AI platform you use.

Design principles

The Editorial skill enforces these core rules:

  1. Prefer semantic tokens over raw values — always reference design tokens instead of hardcoded colors, sizes, or spacing
  2. Preserve visual hierarchy — maintain clear distinctions between headings, body text, and supporting elements
  3. Keep interaction states explicit — every interactive element must define its full state set
  4. Design for every state — empty, loading, and error states are first-class concerns, not afterthoughts
  5. Ensure responsive behavior by default — components must adapt gracefully across screen sizes
  6. Document accessibility rationale — every accessibility decision should be traceable and testable

And three strict anti-patterns to avoid:

  1. No low contrast text — all text must meet WCAG AA contrast ratios
  2. No inconsistent spacing rhythm — every measurement must align to the 8pt grid
  3. No ambiguous labels — interactive elements must have clear, descriptive labels

Writing tone

All content generated with this skill follows a concise, confident, helpful, clear, friendly, professional, and action-oriented tone with minimal jargon. Labels are direct. Instructions guide the user toward the next step. There is no unnecessary decoration.

Comments

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How do these design skills work?

1

All of these design skills are handcrafted by the creators of typeui.sh as optimized skill.md files that can be plugged into your agentic tools to then instruct the AI LLMs to create websites with this specific design.

2

Use the command npx typeui.sh pull [name] to pull the design skill file or just copy-paste or download the file from our website.

3

You or your agents (can be OpenClaw too) start building websites based on these handpicked designs.