OpenAI Brand Styling

Overview

Apply OpenAI's brand identity and style resources with this skill.

**Keywords**: branding, corporate identity, visual identity, post-processing, styling, brand colors, typography, OpenAI brand, Codex, visual formatting, visual design

Brand Guidelines

Colors

**Main Colors:**

Charcoal: `#0E0F12` - Primary text and dark backgrounds

Slate: `#202123` - Surface backgrounds

Mist: `#F5F7FA` - Light backgrounds and text on dark

Steel: `#9EA1AA` - Secondary elements and dividers

**Accent Colors:**

OpenAI Green: `#10A37F` - Primary accent

Azure: `#2B8FFF` - Secondary accent

Graphite: `#40434A` - Neutral accent for icons or strokes

Typography

**Headings**: Inter, Semibold/Bold (with Arial fallback)

**Body Text**: Inter, Regular (with Arial fallback)

**Code/Monospace**: IBM Plex Mono (with Menlo/monospace fallback)

**Note**: Fonts should be pre-installed in your environment for best results

Features

Smart Font Application

Applies Inter Semibold/Bold to headings (24pt and larger)

Applies Inter Regular to body text

Applies IBM Plex Mono for code snippets or inline code

Automatically falls back to Arial/Menlo if custom fonts unavailable

Preserves readability across all systems

Text Styling

Headings (24pt+): Inter Semibold/Bold

Body text: Inter Regular

Smart color selection based on background (Charcoal or Mist as appropriate)

Preserves text hierarchy and formatting

Shape and Accent Colors

Non-text shapes use accent colors

Cycle accent usage: OpenAI Green → Azure → Graphite

Maintains visual interest while staying on-brand

Technical Details

Font Management

Uses system-installed Inter and IBM Plex Mono fonts when available

Provides automatic fallback to Arial (headings/body) and Menlo/monospace (code)

No font installation required - works with existing system fonts

For best results, pre-install Inter and IBM Plex Mono fonts in your environment

Color Application

Uses RGB color values for precise brand matching

Applied via python-pptx's RGBColor class

Maintains color fidelity across different systems