baoyu-cover-image

Convert article content into five-dimensional visual prompts for cover image generation.

2|Updated Apr 6, 2026
One-click install
npx skills add https://github.com/augustscl/awesome-xiawang-skills --skill baoyu-cover-image-augustscl
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: baoyu-cover-image
Source: https://github.com/augustscl/awesome-xiawang-skills/tree/main/baoyu-cover-image
Command: npx skills add https://github.com/augustscl/awesome-xiawang-skills --skill baoyu-cover-image-augustscl

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Streamlines the creation of article cover images by translating article content into visually cohesive designs, saving time and ensuring branding consistency.

Core Features & Use Cases

  • Five-dimension design: Type, Palette, Rendering, Text, Mood, plus font and aspect options, auto-select capabilities, and style presets.
  • Reference-aware prompts: supports saved references, palette/style extraction, and a structured prompt template to guide generation.
  • End-to-end workflow: from prompt creation to image generation, watermarking, and organized output directories.

Quick Start

Run /baoyu-cover-image article.md to generate the cover image for your article.

Frequently Asked Questions about baoyu-cover-image

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

FAQPage Schema
How do I automatically generate cover images from article content?

Article cover image generation works by converting content into five-dimensional visual prompts covering type, palette, rendering, text density, and mood, then applying style presets and reference handling to produce cohesive designs.

How do I ensure consistent branding across multiple article cover images?

Branding consistency is maintained by using saved references, extracting palettes and styles, and applying structured prompt templates with style presets to ensure uniform visual dimensions across all generated cover images.

What is the best way to create stylized cover images without manual prompt engineering?

The best approach is using a five-dimension design system that auto-selects type, palette, rendering, text density, and mood, converting article content into structured visual prompts to eliminate manual prompt engineering.

Can I use reference images to guide the cover image generation style?

Yes, the system supports reference-aware prompts with saved references and palette or style extraction, using a structured prompt template to guide image generation and match specific visual aesthetics.

Does the cover image generation workflow include watermarking and output organization?

Yes, the end-to-end workflow handles prompt creation, image generation, watermarking, and organized output directories, ensuring deterministic results through scripts and templates for complete workflow efficiency.