A specialized utility to transform markdown tables into readable PNG images for messaging platforms with limited table support.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install table-image
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 table-image using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Table Image skill is a developer-centric tool designed to overcome the limitations of messaging platforms like Telegram or Discord, which often fail to display markdown tables correctly. By leveraging the tablesnap utility, this skill converts complex data structures into clean, professionally formatted PNG images, ensuring your data remains legible across all devices and clients. It is a vital component for developers building bots within the Openclaw Skills ecosystem who need to present structured information clearly.
Whether you are sharing task statuses, data reports, or configuration summaries, this skill provides a seamless bridge between raw markdown and visual clarity. It supports dark and light themes by default to match the user's interface, making it a highly adaptable addition to any automated workflow focused on clear communication.
To use this skill within your Openclaw Skills environment, you must first install the tablesnap dependency using Go:
go install github.com/joargp/tablesnap/cmd/tablesnap@latest
Alternatively, build from source:
git clone https://github.com/joargp/tablesnap.git
cd tablesnap
go build -o tablesnap ./cmd/tablesnap
To ensure full emoji support, run the following command once:
tablesnap emojis install
The skill processes markdown strings and generates optimized image files. The configuration is managed via CLI flags as outlined below:
| Flag | Default | Description |
|---|---|---|
-i |
stdin | Input markdown file or stream |
-o |
stdout | Target output path for the PNG |
--theme |
dark | Visual style: dark or light |
--font-size |
14 | Font size in pixels |
--padding |
10 | Cell padding in pixels |
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