An AI-powered tool for generating professional-grade black-and-white manga panels with authentic Japanese aesthetics and dynamic screentones.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install manga-panel-generator
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 manga-panel-generator using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Manga Panel Generator is a specialized addition to the Openclaw Skills ecosystem designed for creators, storyboard artists, and manga enthusiasts. By leveraging the Neta AI image generation API, this skill allows users to transform text descriptions into high-quality, monochrome manga panels that capture the essence of shonen, shojo, or seinen art styles.
Whether you are drafting a doujinshi, creating webtoon storyboards, or simply visualizing character moments, this skill provides the precision needed for professional results. It handles complex artistic elements like dynamic poses and authentic screentones automatically, streamlining the creative workflow for anyone working within the manga medium and looking to expand their toolkit with Openclaw Skills.
To integrate this tool into your Openclaw Skills workflow, install it via the CLI:
npx skills add blammectrappora/manga-panel-generator
You will also need a Neta AI API token. You can obtain a free trial at https://www.neta.art/open/. Once installed, run the skill using:
node mangapanelgenerator.js "your prompt" --token YOUR_TOKEN
The skill utilizes a straightforward parameter system to define the output characteristics. Use the following schema for configuration:
| Parameter | Description | Valid Values |
|---|---|---|
prompt |
Text description of the manga scene | Any descriptive string |
--token |
Neta AI API authentication key | Valid API token |
--size |
Defines the image aspect ratio | portrait, landscape, square, tall |
--ref |
UUID for style inheritance | Valid image UUID |
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