使用方法
- 复制安装命令，在自己的智能体环境安装前先检查源码包。
- 从原始文档核对所需工具、凭据和支持的宿主。
- 说明输入材料与期望交付物，并对照来源检查输出。
npx skills add https://github.com/composiohq/awesome-claude-skills --skill brand-guidelines开始前需了解
- 安装不包含模型订阅、API 额度或访问文件的权限。
- 仓库星数和安装量反映活跃情况，不等于独立质量或安全测试。
仓库原始内容
按源仓库内容呈现，保留标题、案例、代码、表格、链接以及原文引用的演示图片。
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
