Automate the creation of professional, brand-aligned LinkedIn graphics and headers using advanced AI specialized for B2B engagement.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install linkedin-content-generation
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install linkedin-content-generation using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is LinkedIn Content Generation?
The LinkedIn Content Generation skill is a specialized tool designed to produce high-impact visual assets tailored specifically for the professional LinkedIn ecosystem. By leveraging the each::sense AI engine within the Openclaw Skills framework, developers can programmatically generate a wide array of content including feed posts, article headers, and company banners that adhere to professional design standards.
This skill eliminates the need for manual design work by interpreting natural language prompts to create visuals that align with corporate branding, industry-specific aesthetics, and mobile-first viewing habits. Whether you need a 1:1 square post for high engagement or a 4:1 wide banner for a company page, this tool provides the technical precision required for modern professional networking.
LinkedIn Content Generation Use Cases
- Creating professional 1:1 or 4:5 feed graphics to increase B2B post engagement.
- Designing high-resolution article headers and event covers for webinars or summits.
- Generating branded company banners and team announcement visuals for corporate pages.
- Producing sequential slides for LinkedIn carousels to share thought leadership and data insights.
How LinkedIn Content Generation Works
- The user provides a detailed prompt specifying the industry, mood, and desired LinkedIn format (e.g., 1200x628 article header).
- The skill sends a POST request to the each::sense API using an API key for authentication.
- The system processes the request using either max mode for final production or eco mode for rapid drafting.
- For complex designs, a session identifier is used to iterate on the graphic through multi-turn feedback.
- The final image is generated as a high-resolution asset ready for professional deployment.
LinkedIn Content Generation Setup
To integrate this capability into your Openclaw Skills workflow, ensure you have an API key from Eachlabs. Configure your environment and use the following base command structure:
export EACHLABS_API_KEY="your_key_here"
curl -X POST https://sense.eachlabs.run/chat \
-H "Content-Type: application/json" \
-H "X-API-Key: $EACHLABS_API_KEY" \
-d '{"message": "Create a 1:1 LinkedIn post graphic about AI transformation", "mode": "max"}'
LinkedIn Content Generation Data Schema & Taxonomy
The skill organizes content generation through a set of metadata and formatting parameters to ensure compatibility with LinkedIn requirements:
| Parameter | Description | Values |
|---|---|---|
| Aspect Ratio | Controls the layout of the generated image | 1:1, 1.91:1, 4:5, 16:9, 4:1 |
| Mode | Selects between speed and visual fidelity | max, eco |
| Industry | Contextualizes the visual aesthetic | Tech, Finance, Healthcare, etc. |
| Session ID | Tracks history for iterative refinements | String (UUID) |
LinkedIn Content Generation Advanced Features
- Multi-turn content iteration for refining specific visual elements without starting from scratch.
- Carousel slide generation for maintaining visual consistency across multi-page document posts.
- Batch processing support to create multiple design variations for A/B testing on professional feeds.
- Context-aware design that respects safe zones for text overlays and mobile UI elements.
SKILL.md
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