baoyu-comic

Name: baoyu-comic
Availability: InStock
Author: flashfoxer

Generate educational comic pages with customizable art styles and batch image generation.

Updated May 1, 2026

Search Tags:#tone #layout #image generation #art style #comic creation #knowledge comic

Ready to run

npx skills add https://github.com/flashfoxer/openclaw-my-skills --skill baoyu-comic-flashfoxer

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: baoyu-comic
Source: https://github.com/flashfoxer/openclaw-my-skills/tree/main/baoyu-imagine/baoyu-comic
Command: npx skills add https://github.com/flashfoxer/openclaw-my-skills --skill baoyu-comic-flashfoxer

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires imagegen, codex, cursor, baoyu-image-gen, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill assists users in creating original knowledge comics with flexible art styles and tones, offering a platform to produce detailed panel layouts and batch-capable image generation.

Core Features & Use Cases

Art Style Customization: Support multiple art styles like ligne-claire, manga, realistic, ink-brush, chalk, minimalist, etc.
Tone Variety: Choose from a range of moods and atmospheres such as neutral, warm, dramatic, romantic, energetic, vintage, action, etc.
Layout Options: Select from different panel arrangements including standard, cinematic, dense, splash, mixed, webtoon, four-panel, etc.
Image Generation: Batch capable image generation using user preferences or auto-select based on content signals.
Character Sheets: Generate character sheets for recurring characters to maintain consistency.
References: Accept reference images to guide art style, palette, scene composition, or subject.
Partial Workflows: Run specific parts of the comic creation process like storyboard generation, prompt creation, or image generation.
Output: Final comic pages and a merged PDF.

Quick Start

Generate a knowledge comic page using the "manga" art style and "dramatic" tone for a given prompt 'AI in history'.

Frequently Asked Questions about baoyu-comic

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I create educational comics to visualize abstract topics?▼

To create knowledge comics, you provide a topic prompt and select an art style, tone, and layout. The tool generates detailed panel layouts and uses batch image generation to visualize abstract or educational topics into comic pages and a merged PDF.

What art styles and tones can I use for comic page generation?▼

Comic page generation supports art styles like manga, ligne-claire, realistic, ink-brush, and minimalist, alongside tones such as dramatic, warm, energetic, and vintage. These preferences guide the batch image generation for your educational content.

Do I need an external image generation backend to produce comic pages?▼

Yes, you need an external image generation backend to render the final visual content. The skill handles storyboard generation, prompt creation, and character sheets, but relies on external image generation dependencies to produce the comic pages.

Can I use reference images to guide the art style and character consistency?▼

Yes, you can provide reference images to guide art style, palette, and scene composition. The skill also generates character sheets for recurring characters to maintain visual consistency across batch-generated comic pages.

What panel layout options are available for knowledge comic creation?▼

Knowledge comic creation supports multiple panel layout options including standard, cinematic, dense, splash, mixed, webtoon, and four-panel arrangements. These layouts structure the visual flow of educational content across comic pages.

Can I generate just the storyboard and prompts without rendering images?▼

Yes, you can run specific parts of the comic creation process like storyboard generation or prompt creation without triggering image rendering. This partial workflow allows you to review and adjust panel layouts before committing to batch image generation.