A comprehensive analytical tool for studying the business model, historical evolution, and digital transformation of the world's leading women's lifestyle brand.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install cosmopolitan
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install cosmopolitan using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Cosmopolitan skill provides a deep dive into the world's most influential women's lifestyle magazine. Positioned around the Fun Fearless Female brand identity, it explores how a century-old literary publication evolved into a digital-first media powerhouse. This skill allows users to examine the intersection of fashion, relationships, and career through the lens of one of Hearst Communications' most valuable assets.
By leveraging this skill within Openclaw Skills, researchers and marketers can analyze how Cosmopolitan maintains its moat among the 18-34 female demographic. It covers everything from the revolutionary editorial shift in 1965 to the modern pivot toward programmatic advertising and social media monetization on platforms like Instagram and TikTok.
To integrate this analysis capability into your environment, use the following commands:
# Install the Openclaw Skills CLI if not already present
npm install -g @openclaw/cli
# Add the cosmopolitan analysis skill
openclaw install skill-cosmopolitan
# Verify the installation and load the media database
openclaw check cosmopolitan
The skill organizes media analysis data into several structured layers:
| Data Category | Details |
|---|---|
| Historical Timeline | Key milestones from 1886 to the 2020s digital expansion. |
| Business Model | Breakdown of ads, social licensing, and subscription revenue. |
| Social Matrix | Follower counts and engagement metrics for Instagram (20M+) and TikTok. |
| Moat Analysis | Brand equity, cultural symbolism, and distribution network depth. |
| Reader Profiles | Median age (25-30) and consumer behavior insights. |
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