baoyu-article-illustrator

To generate consistent article illustrations, this Skill analyzes your content structure and predicts optimal visual positions. It then creates structured image prompts using a Type × Style × Palette framework, ensuring brand-aligned visuals for tutorials and data-driven posts.

Automating article visual creation is best handled by extracting concrete data like numbers and terms directly from your text. This Skill validates these references and integrates them into structured illustration prompts, ensuring generated visuals accurately reflect the article's specific data.

Yes, you can use custom visual style palettes for article illustrations instead of the default hand-drawn-edu preset. The Skill supports multiple styles and palettes from its references, allowing you to tailor the Type × Style × Palette framework to your specific brand requirements.

Yes, this article illustrator works effectively with opinion pieces and long-form content. It is specifically designed to apply to article-length content, tutorials, data-driven posts, and opinion pieces by predicting illustration positions and generating appropriate visual summaries.

The Type × Style × Palette framework improves image prompt engineering by categorizing visual outputs into structured dimensions. This ensures generated prompts produce consistent, brand-aligned illustrations that match the article's tone and structural needs.

To start generating structured illustration prompts, you simply need to provide an article file path. The Skill will then analyze the content, propose outline positions, and generate Type × Style × Palette illustrations using the default preset.