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baoyu-cover-image

Generate article cover image prompts using a five-dimension design workflow.

Updated Feb 13, 2026
Search Tags:#branding#image-generation#cover-image#aspect-ratio#design-prompt#five-dimensions
One-click install
npx skills add https://github.com/chengyihua/nanobot-ts --skill baoyu-cover-image-chengyihua
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: baoyu-cover-image
Source: https://github.com/chengyihua/nanobot-ts/tree/main/skills/baoyu-cover-image
Command: npx skills add https://github.com/chengyihua/nanobot-ts --skill baoyu-cover-image-chengyihua

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Authors and teams often struggle to craft visually compelling article covers that align with content and branding. baoyu-cover-image automates the creation of consistent, high-quality covers by applying a five-dimension design workflow.

Core Features & Use Cases

  • Five Dimensions: Type, Palette, Rendering, Text, Mood to match content signals.
  • Style Presets: Quick palette + rendering shorthands (e.g., blueprint, elegant) for rapid cover generation.
  • Reference-Aware: Accepts optional reference images to guide style, color, and composition.
  • Aspect Ratios & Output: Supports common ratios (2.35:1, 16:9, 1:1) and flexible output directories.
  • Workflow Integration: Frontmatter-driven prompts, integrated prompts and asset generation for automation pipelines.

Use Cases: Create article covers for blog posts, research briefs, product announcements, and tutorials with brand-consistent visuals.

Quick Start

Generate a cover image prompt for your article using the baoyu-cover-image workflow.

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 for my blog?▼

You can automate article cover image generation by applying a five-dimension design workflow covering Type, Palette, Rendering, Text, and Mood. This approach produces brand-consistent visuals and final assets for blog posts and tutorials.

What is the five-dimension workflow for cover image design?▼

The five-dimension workflow for cover image design uses Type, Palette, Rendering, Text, and Mood to match content signals. It translates these dimensions into generation prompts to create visually compelling article covers.

Can I use reference images to guide the style of my article cover?▼

Yes, the cover image generation process is reference-aware and accepts optional reference images. These references guide the style, color, and composition of the final generated cover assets.

How do I automate cover image generation using frontmatter configuration?▼

You automate cover image generation by using a frontmatter-driven configuration to define style presets and dimensions. The workflow integrates these prompts into automation pipelines to produce final visual assets.

What aspect ratios are supported for automated article cover generation?▼

Automated article cover generation supports common aspect ratios including 2.35:1, 16:9, and 1:1. You can configure these dimensions alongside flexible output directories to fit various publishing platforms.

Does the cover image workflow support style presets for rapid branding?▼

Yes, the cover image workflow supports style presets like blueprint and elegant. These presets provide quick palette and rendering shorthands to enable rapid, brand-consistent cover generation.

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