brand-guidelines-anthropic

# 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 ## When to Use This skill is applicable to execute the workflow or actions described in the overview. ## Limitations - Use this skill only when the task clearly matches the scope described above. - Do not treat the output as a substitute for environment-specific validation, testing, or expert review. - Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.