baoyu-comic

Generate knowledge comics with analysis, storyboard, prompts, and PNG pages.

1|Updated May 16, 2026
One-click install
npx skills add https://github.com/devMoez/titan --skill baoyu-comic-devmoez
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: baoyu-comic
Source: https://github.com/devMoez/titan/tree/main/skills/creative/baoyu-comic
Command: npx skills add https://github.com/devMoez/titan --skill baoyu-comic-devmoez

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill converts your source text into a complete knowledge comic workflow—analysis, storyboard, prompts, and generated pages—while keeping characters consistent across pages.

Core Features & Use Cases

  • Knowledge comic creation: generate an educational/biography/tutorial comic from user-provided topics, text, or files.
  • Flexible art & tone control: choose art style, tone, layout, aspect ratio, and optional presets (e.g., ohmsha, wuxia, shoujo, four-panel).
  • Reference-image trait extraction: accept reference images for style/palette/scene traits (without feeding images directly to the generator).
  • Reproducible output artifacts: writes analysis, storyboard, character definitions, prompt files, and downloaded PNG pages into a structured output directory.

Quick Start

Use the baoyu-comic skill to generate a knowledge comic from the topic "Alan Turing biography" with art ligne-claire and tone neutral, and ask it to create pages and images.

Frequently Asked Questions about baoyu-comic

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

FAQPage Schema
How do I create a multi-page knowledge comic from text while keeping characters consistent?

You can create a knowledge comic from a topic, text, or file. The tool processes your source content to generate a complete workflow, including analysis, storyboard, character definitions, and prompt files, before rendering the final PNG comic pages.

How does reference image trait extraction work for comic generation?

Reference image trait extraction analyzes your provided images to identify style, palette, and scene traits. It uses these extracted characteristics to guide the visual generation process without feeding the original images directly into the image generator.

What art styles and layouts can I use for generating a knowledge comic?

You can select flexible art styles, tones, layouts, and aspect ratios for your knowledge comic. Optional presets include ohmsha, wuxia, shoujo, and four-panel formats to match educational, biography, or tutorial contexts.

How are prompt files managed during the image generation workflow?

Prompt files are saved under a structured prompts/ directory during the image generation workflow. This prompt-first approach ensures reproducible output artifacts when rendering the downloaded PNG comic pages using Titan tools.

Why are my generated comic pages missing character consistency?

Character consistency is enforced by embedding character descriptions inline in every page prompt. If consistency fails, verify that the character definitions generated during the storyboard phase are correctly applied to each prompt file under the prompts/ directory.