An automated utility for generating aesthetic, high-resolution bento grid layouts and social media graphics via Python.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install bento-grid
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 bento-grid 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 Bento Grid Generator?
The Bento Grid Generator is a specialized tool within the Openclaw Skills library designed to streamline the creation of modern social media visuals. By utilizing Python and the Pillow library, this skill allows users to programmatically generate the popular bento-style grid layouts seen on high-end landing pages and tech portfolios. Whether you are building a personal brand or automating marketing assets, this integration simplifies the design process, ensuring your content stands out on platforms like X, Instagram, and LinkedIn.
This specific implementation focuses on developer-centric aesthetics, offering clean lines, rounded corners, and sophisticated color palettes. As part of the Openclaw Skills ecosystem, it provides a CLI-first approach to graphic design, making it easy to incorporate visual generation into automated workflows or AI-driven content pipelines.
Bento Grid Generator Use Cases
- Creating aesthetic bento-style grids for Twitter or Instagram posts.
- Visualizing quarterly goals or project statistics as high-quality image cards.
- Generating music-sharing visuals with Spotify-inspired layouts.
- Automating the production of data-driven social media assets for developer portfolios.
How Bento Grid Generator Works
- The skill receives a command to generate a specific layout type, such as a grid, stats card, or music visualizer.
- It initializes a canvas using the Pillow library with dimensions optimized for social media (e.g., 1200x1200px for square posts).
- The Python logic calculates grid coordinates, cell spans, and padding based on the desired layout architecture.
- Text, colors, and graphics are rendered onto the canvas using high-quality system fonts and anti-aliasing.
- The final image is exported as a PNG file to a temporary directory for immediate use or upload by other Openclaw Skills.
Bento Grid Generator Setup
To use this feature within Openclaw Skills, you must have Python 3 installed on your system along with the Pillow image processing library.
pip install Pillow
No further configuration is required as the skill uses system fonts and internal logic to handle rendering.
Bento Grid Generator Data Schema & Taxonomy
The skill produces standardized image outputs with the following specifications:
| Output File | Purpose | Resolution |
|---|---|---|
bento_grid.png |
General purpose grid layout for summaries | 1200x1200 px |
stats_card.png |
Metric visualization (Followers, Likes, etc.) | 800x400 px |
music_card.png |
Music playback and track visualization | 600x200 px |
All files are stored in the /tmp/ directory by default for easy retrieval by subsequent automation steps.
Bento Grid Generator Advanced Features
- Customizable grid geometry allowing for variable row and column spanning.
- Support for dynamic data injection to create real-time metric cards.
- Built-in gradient rendering and rounded-rectangle clipping for modern UI aesthetics.
- Optimized for Openclaw Skills multi-agent workflows where one agent gathers data and this skill visualizes it.
SKILL.md
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