Does it support languages other than English?

Yes, you can specify the title language using the --lang flag, supporting English, Chinese, Japanese, and more.

Where does the skill store the generated images?

All assets are saved in a structured 'cover-image/{topic-slug}/' directory, which includes the source text, the generated prompt, and the final PNG image.

How does the skill decide which visual style to use?

The skill performs keyword analysis on your content; for example, 'API' or 'architecture' triggers the 'blueprint' style, while 'philosophy' might trigger a 'metaphor' type with a 'minimal' style.

What aspect ratios are available for the covers?

It supports 16:9 (default), 2.35:1 (cinematic), 4:3, 3:2, 1:1 (square), and 3:4.

Can I generate images without an existing Markdown file?

Yes, you can run the command and paste your content directly into the terminal, or use the --quick flag to let the AI handle all selections automatically.

Baoyu Cover Image Generator

Name: Baoyu Cover Image Generator
Author: Jst-Well-Dan

byJst-Well-Dan

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콘텐츠 관리

Automates the creation of professional, context-aware article cover images using intelligent content analysis and customizable visual dimensions.

The Baoyu Cover Image Skill is a high-performance visual asset generator for Claude Code that transforms technical drafts and articles into polished cover images. By analyzing your content for specific thematic signals, it intelligently maps text to one of 20 hand-drawn styles and 6 composition types—ranging from technical blueprints to cinematic scenes. It handles the entire creative workflow, from generating optimized image prompts to organizing source files and outputting high-resolution assets in multiple aspect ratios (16:9, 1:1, 2.35:1), making it an essential tool for developers and writers who need consistent, high-quality branding without leaving their terminal.

주요 기능

0120+ hand-drawn visual styles including Notion-style, Blueprint, and Ghibli-inspired

026 GitHub stars

034-Dimensional customization covering Type, Style, Text density, and Mood

04Intelligent auto-selection of visual parameters based on content keyword signals

05Automated file management and prompt versioning within the project directory

06Support for cinematic (2.35:1), widescreen, and square aspect ratios

사용 사례

01Creating consistent visual assets for software documentation and tutorials

02Generating social media preview images and headers for technical blog posts

03Designing quick article covers directly from Markdown drafts during the CI/CD pipeline

주요 기능

0120+ hand-drawn visual styles including Notion-style, Blueprint, and Ghibli-inspired

026 GitHub stars

034-Dimensional customization covering Type, Style, Text density, and Mood

04Intelligent auto-selection of visual parameters based on content keyword signals

05Automated file management and prompt versioning within the project directory

06Support for cinematic (2.35:1), widescreen, and square aspect ratios

사용 사례

01Creating consistent visual assets for software documentation and tutorials

02Generating social media preview images and headers for technical blog posts

03Designing quick article covers directly from Markdown drafts during the CI/CD pipeline