Automate the creation of high-quality, data-driven infographics for reports, social media, and presentations using each::sense AI.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install infographic-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 infographic-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 Infographic Generation?
The Infographic Generation skill is a powerful tool designed to transform raw data and descriptive prompts into professional-grade visual assets. By leveraging the each::sense AI engine, this skill allows users to programmatically generate a wide variety of visual content, from complex hierarchical org charts to sleek social media graphics. It is a core component of the Openclaw Skills ecosystem, enabling developers to integrate high-end design capabilities directly into their automated workflows.
This skill eliminates the need for manual design software by interpreting natural language instructions for layout, color palettes, and data representation. Whether you are building an automated reporting system or a social media content engine, the skill provides the flexibility to produce both rapid drafts and high-fidelity final designs suitable for client presentations or print materials.
Infographic Generation Use Cases
- Creating statistical infographics for annual reports and research whitepapers.
- Generating step-by-step process guides and how-to tutorials for technical documentation.
- Designing side-by-side comparison charts for product marketing and competitive analysis.
- Building automated timeline graphics for project milestones and historical data visualization.
- Producing platform-optimized social media infographics to boost audience engagement.
How Infographic Generation Works
- Initialize the session by providing a detailed prompt that includes the infographic type, specific data points, and desired aesthetic.
- Submit the request to the each::sense API endpoint using your secure authentication credentials.
- The AI engine processes the request, applying design principles like visual hierarchy and white space management to generate the asset.
- Review the output and, if necessary, use the multi-turn iteration feature to refine specific elements like color schemes or data accuracy.
- Export the final infographic in the desired resolution or orientation optimized for your target platform.
Infographic Generation Setup
To get started with this skill in the Openclaw Skills library, you must first obtain an API key from eachlabs.ai. Set your environment variable as follows:
export EACHLABS_API_KEY='your_api_key_here'
You can then trigger a generation via a standard POST request:
curl -X POST https://sense.eachlabs.run/chat \
-H "Content-Type: application/json" \
-H "X-API-Key: $EACHLABS_API_KEY" \
-H "Accept: text/event-stream" \
-d '{
"message": "Create a statistical infographic showing global renewable energy adoption",
"mode": "max"
}'
Infographic Generation Data Schema & Taxonomy
The skill utilizes a structured input schema to ensure consistent output quality. Below are the primary data fields handled by the Openclaw Skills integration:
| Field | Type | Description |
|---|---|---|
| message | String | The detailed instructions, including data points and styling prompts |
| mode | String | Choice between 'max' for high-fidelity or 'eco' for rapid drafting |
| session_id | String | Optional ID used to maintain context for design iterations |
| orientation | String | Specification for Portrait, Landscape, or Square (1:1) layouts |
Infographic Generation Advanced Features
- Multi-turn iteration allows for precise refinement of existing designs using persistent session IDs.
- Batch generation supports A/B testing of different design styles (e.g., minimalist vs. corporate) for the same dataset.
- Platform-specific presets automatically adjust dimensions for Pinterest, Instagram, LinkedIn, and professional presentations.
- Mode selection allows developers to optimize for either generation speed or maximum visual detail depending on the use case.
SKILL.md
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