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baoyu-comic

Generate multi-page knowledge comics from source content using prompt-based image generation.

Updated Jul 10, 2026
Search Tags:#prompt engineering#image generation#storyboard#educational#manga#comic#knowledge comic
One-click install
npx skills add https://github.com/AvaTar-ArTs/.Agent-skills --skill baoyu-comic-avatar-arts
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: baoyu-comic
Source: https://github.com/AvaTar-ArTs/.Agent-skills/tree/main/skills/creative/baoyu-comic
Command: npx skills add https://github.com/AvaTar-ArTs/.Agent-skills --skill baoyu-comic-avatar-arts

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve? Turning educational content, biographies, or tutorials into engaging visual comics normally requires illustration skills and hours of manual layout work. This Skill automates the full pipeline from raw content analysis to storyboard, character definitions, image prompts, and generated comic pages. ## Core Features & Use Cases - End-to-end comic workflow: Analyzes source content, confirms style options with the user, generates a storyboard and character sheet, writes per-page image prompts, and renders pages via the image_generate tool. - Flexible style system: Combines 6 art styles (ligne-claire, manga, realistic, ink-brush, chalk, minimalist), 7 tones, 7 layouts, and 5 presets (ohmsha, wuxia, shoujo, concept-story, four-panel) with a content-signal auto-selection matrix. - Character consistency: Embeds text character descriptions inline in every page prompt, with an optional character reference sheet PNG for human review. - Use Case: Paste a technical tutorial and ask for an ohmsha-style educational manga; the Skill produces analysis.md, storyboard.md, character definitions, prompt files, and downloaded PNG pages under comic/{topic-slug}/. ## Quick Start Ask the agent to create a knowledge comic from your pasted article or topic, for example: "Create an ohmsha-style educational comic explaining how neural networks work, about 10 pages."

Frequently Asked Questions about baoyu-comic

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

FAQPage Schema
How do I create an educational comic from text content?▼

Provide your source content as pasted text, a file path, a URL, or just a topic. The Skill analyzes it, confirms art style and tone with you, then produces a storyboard, character definitions, per-page prompts, and generated PNG pages in a comic/{topic-slug}/ directory.

What art styles and tones are available for comic generation?▼

Six art styles (ligne-claire, manga, realistic, ink-brush, chalk, minimalist) combine with seven tones (neutral, warm, dramatic, romantic, energetic, vintage, action). Five presets like ohmsha and four-panel add special rules, and a content-signal matrix recommends combinations automatically.

Can I generate only a storyboard without images?▼

Yes, partial workflows support storyboard-only, prompts-only, images-only, and regenerating specific pages. Say "storyboard only" to stop after analysis, storyboard, and character definitions, then review before committing to image generation.

Does the image generation tool accept reference images?▼

No, image_generate is prompt-only and accepts only a prompt and aspect ratio, returning a URL. User-supplied reference images are used to extract style, palette, or scene traits as text embedded in prompts, and character consistency relies on inline text descriptions.

Why did my generated comic pages save to the wrong directory?▼

This happens when curl downloads rely on the shell's current working directory, which can drift between batches. The Skill mandates absolute paths for curl -o output and verifies each downloaded PNG exists and is non-empty before proceeding.

How does the comic keep characters consistent across pages?▼

Character visual traits are written to characters/characters.md and embedded inline in every page prompt during Step 5. An optional character sheet PNG is generated as a human review artifact, but the text descriptions are the sole consistency mechanism.

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