anthropic-brand-guidelines

anthropic-brand-guidelines

Imported upstream skill.

• Provider source: https://github.com/anthropics/skills/tree/main/skills/brand-guidelines
• Original skill name: brand-guidelines

Upstream Content

Anthropic Brand Styling

Overview

To access Anthropic's official brand identity and style resources, use this skill.

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

Brand Guidelines

Colors

Main Colors:

• Dark: #141413 - Primary text and dark backgrounds
• Light: #faf9f5 - Light backgrounds and text on dark
• Mid Gray: #b0aea5 - Secondary elements
• Light Gray: #e8e6dc - Subtle backgrounds

Accent Colors:

• Orange: #d97757 - Primary accent
• Blue: #6a9bcc - Secondary accent
• Green: #788c5d - Tertiary accent

Typography

• Headings: Poppins (with Arial fallback)
• Body Text: Lora (with Georgia fallback)
• Note: Fonts should be pre-installed in your environment for best results

Features

Smart Font Application

• Applies Poppins font to headings (24pt and larger)
• Applies Lora font to body text
• Automatically falls back to Arial/Georgia if custom fonts unavailable
• Preserves readability across all systems

Text Styling

• Headings (24pt+): Poppins font
• Body text: Lora font
• Smart color selection based on background
• Preserves text hierarchy and formatting

Shape and Accent Colors

• Non-text shapes use accent colors
• Cycles through orange, blue, and green accents
• Maintains visual interest while staying on-brand

Technical Details

Font Management

• Uses system-installed Poppins and Lora fonts when available
• Provides automatic fallback to Arial (headings) and Georgia (body)
• No font installation required - works with existing system fonts
• For best results, pre-install Poppins and Lora 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