baoyu-cover-image

Generate article cover images using a 5-dimension design system.

24.8k|2.8k|Updated Jan 13, 2026
One-click install
npx skills add https://github.com/JimLiu/baoyu-skills --skill baoyu-cover-image-jimliu
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: baoyu-cover-image
Source: https://github.com/JimLiu/baoyu-skills/tree/main/skills/baoyu-cover-image
Command: npx skills add https://github.com/JimLiu/baoyu-skills --skill baoyu-cover-image-jimliu

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill helps content creators produce consistent, high-quality article covers by orchestrating a 5-dimensional design system (type, palette, rendering, text, mood) across multiple aspect ratios.

Core Features & Use Cases

  • 5-dimensional cover generation: type, palette, rendering, text density, mood; supports cinematic 2.35:1, widescreen 16:9, and square 1:1.
  • Auto-select style or apply explicit presets from the style library to match content signals.
  • Reference image support: save and reuse references to guide design and prompts.
  • Prompt-driven workflow: templates and frontmatter references ensure reproducible outputs.

Quick Start

Provide your article title or content and run the baoyu-cover-image command to generate a tailored cover using your chosen type, palette, rendering, and mood.

Frequently Asked Questions about baoyu-cover-image

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

FAQPage Schema
How do I generate consistent article cover images automatically?

To generate consistent article cover images automatically, provide your article title or content to apply a 5-dimensional design system covering type, palette, rendering, text, and mood. This ensures polished, reproducible outputs across cinematic, widescreen, and square aspect ratios.

What is the best way to match a cover image style to my article content?

The best way to match a cover image style to your article content is by leveraging content signals to auto-select visual styles. You can apply explicit presets from the style library, using prompt-driven templates and frontmatter references for consistent output.

Can I use reference images to guide my cover design workflow?

Yes, you can use reference images to guide your cover design workflow. You can save and reuse references to direct the visual design and prompts, ensuring the generated covers align with your established visual guidelines.

How do I create cover images for different aspect ratios like 16:9 or 1:1?

You create cover images for different aspect ratios by specifying your desired format during the prompt-driven workflow. The system supports cinematic 2.35:1, widescreen 16:9, and square 1:1 dimensions, applying the 5-dimensional customization across each format.

Does this approach work for generating visual designs for tutorials and announcements?

Yes, this approach works for generating visual designs for tutorials and announcements. The 5-dimensional system applies to various content types including blog posts, automatically selecting the appropriate visual style from available palettes and content signals.

What are the limitations of using a 5-dimensional design system for cover generation?

A limitation of using a 5-dimensional design system for cover generation is that outputs depend heavily on the quality of your saved references and prompt templates. Without explicit presets or style guidelines, auto-selecting styles from content signals may not always match specific creative expectations.