Brand guidelines
Skill ComeOnOliver/skillshub/skills/aiskillstore/marketplace/artemisai/brand-guidelines
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npx -y skills add ComeOnOliver/skillshub --skill brand-guidelinesAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
What its author says it does
Copied from the file, not written here
Applies Anthropic's official brand colors and typography to any sort of artifact that may benefit from having Anthropic's look-and-feel. Use it when brand colors or style guidelines, visual formatting, or company design standards apply.
The file declares its own license as Complete terms in LICENSE.txt. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.
SKILL.md
2.2 KB, 455 tokens by cl100k_base, as published. Nobody here has run it
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
What ships with it
20.4 KB alongside SKILL.md
GitHub clipped this repository’s file list, so this is at least 2 files and may be more.
- LICENSE.txt11.1 KB
- skill-report.json9.3 KB
Gives 8 of the 12 instructions most marketing audience skills give in 455 tokens
Counted across 690 of the 894 authors here whose files we hold, read 2026-08-07
- Apply Poppins font to headingshere, and in 41 of 690, across 6 files
- Apply Lora font to body texthere, and in 41 of 690, across 6 files
- Use Arial fallback for headingshere, and in 39 of 690, across 4 files
- Use Georgia fallback for body texthere, and in 39 of 690, across 4 files
- Maintain text hierarchy and formattinghere, and in 39 of 690, across 4 files
- Use accent colors for non-text shapeshere, and in 38 of 690, across 3 files
- Use RGB values for precise color matchinghere, and in 38 of 690, across 3 files
- Use brand colors for primary text and backgroundshere, and in 36 of 690, across 1 file
- Read product marketing context file before asking questions, starting, or auditingin 35 of 690, across 23 files
- Use active voice instead of passive voicein 26 of 690, across 10 files
- Implement or generate appropriate JSON-LD structured datain 24 of 690, across 17 files
- Prioritize clarity over clevernessin 22 of 690, across 8 files
Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.