An AI-driven marketing engine designed to automate content creation, post scheduling, and engagement tracking across TikTok, Instagram, and Telegram.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install marketing-agent
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 marketing-agent using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Automated Marketing Manager is a specialized tool within the Openclaw Skills ecosystem designed to streamline the growth of diverse projects like PawArtis, Trading Signals, and Freelance Services. It bridges the gap between content strategy and execution by managing multiple social channels and SEO content through a structured automation framework.
By leveraging this skill, developers and creators can maintain a consistent online presence without the manual overhead. It handles everything from drafting video scripts and captions to optimizing hashtags and timing, ensuring that every project receives the visibility it deserves through data-driven Openclaw Skills automation.
To integrate this marketing engine into your workflow, configure your credentials in your environment:
# Install the marketing skill module
claw install marketing-manager
# Configure social API keys
claw config set TIKTOK_API_KEY=your_key
claw config set TELEGRAM_BOT_TOKEN=your_token
# Initialize the marketing routine
claw run marketing-manager --init
The skill organizes marketing data using a structured taxonomy to ensure performance tracking is clear and actionable:
| Data Type | Description | Storage Format |
|---|---|---|
| Content Plan | Weekly topics, post frequency, and channel mapping | YAML/JSON |
| Asset Library | Scripts, captions, and formatted signal templates | Markdown/Text |
| Engagement Log | Views, likes, and lead conversion metrics | CSV/Database |
| Research Data | Hashtag performance and optimal timing windows | JSON |
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