baoyu-cover-image

Generate cover prompts from article content using the 5D design space.

54|18|Updated Apr 2, 2026

Search Tags:#branding #references #presets #visual-design #prompt-engineering #cover-image

Ready to run

npx skills add https://github.com/open-fox/agents --skill baoyu-cover-image-open-fox

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: baoyu-cover-image
Source: https://github.com/open-fox/agents/tree/main/skills/baoyu-cover-image
Command: npx skills add https://github.com/open-fox/agents --skill baoyu-cover-image-open-fox

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill translates article content into visually consistent cover prompts, reducing manual design effort and ensuring branding alignment across articles.

Core Features & Use Cases

Automatic mapping of content signals to cover design dimensions (Type, Palette, Rendering, Text, Mood, Font, Aspect)
Style presets and references integration to accelerate prompt creation for multiple outputs
Quick Start examples and reusable prompt templates to speed up publishing workflows

Quick Start

Provide your article content and preferred style to generate a ready-to-prompt cover specification that you can hand to an image model.

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 article cover images with consistent branding and visual style?▼

Article cover image generation with consistent branding uses style presets and references to translate content signals into a structured design specification. This ensures visual alignment across articles by automatically defining palette, rendering, mood, font, and text density.

What is the 5D cover design space for prompt engineering?▼

The 5D cover design space is a structured framework mapping article content to type, palette, rendering, mood, and font dimensions. It structures prompt engineering by validating references and assets to output precise, multi-scale cover specifications.

How do I automate cover prompt generation for multiple output scales and languages?▼

Automate cover prompt generation by mapping article content signals to design dimensions and applying style references. The system handles error validation gracefully and exports ready-to-use prompt files and metadata configured for multiple output scales and languages.

Can I use style presets and references to accelerate visual design workflows?▼

Yes, you can use style presets and references to accelerate visual design workflows. The system integrates these references to quickly create reusable prompt templates, validating assets and configurations to ensure branding alignment across multiple article outputs.

What are the limitations of using automated cover design space mapping?▼

Limitations of automated cover design mapping include dependency on the quality of input content signals and provided reference assets. If configurations or references fail validation, the system gracefully handles errors but cannot export the expected prompt files or metadata.