cover-image

Generates article cover images with 5 dimensions (type, palette, rendering, text, mood) combining 9 color palettes and 6 rendering styles. Supports cinematic (2.35:1), widescreen (16:9), and square (1:1) aspects. Use when user asks to "generate cover image", "create article cover", or "make cover".

Install

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Download and extract to your skills directory

Copy command and send to AI Agent for auto-install:

Download and install this skill https://openskills.cc/api/download?slug=ginobefun-skills-cover-image&locale=en&source=copy

cover-image — Smart Article Cover Image Generation Skill

Skill Overview


cover-image is a Claude skill for generating elegant cover images for articles. By combining five dimensions—type, color palette, rendering, text, and mood—it supports nine color schemes and six rendering styles, helping content creators quickly produce professional article visuals.

Use Cases

1. Visuals for Blogs and Technical Articles


After completing a technical blog post or Markdown document, use cover-image to quickly generate a cover image that matches the article’s theme. The skill automatically analyzes the article’s content and intelligently selects suitable colors, styles, and layouts, eliminating the need for manual design.

2. Batch Production for Content Creators


If you regularly publish articles, cover-image supports quick mode (--quick), which skips the confirmation step and generates a cover image directly. Combined with the reference image feature, it can maintain visual consistency across a series of articles, greatly improving content production efficiency.

3. Cover Adaptation for Multiple Platforms


cover-image supports multiple aspect ratios, including cinematic (2.35:1), widescreen (16:9), and square (1:1) formats. Whether your article is published on a personal blog, WeChat Official Account, or another platform, you can generate a cover image in a suitable size.

Core Features

1. Five-Dimensional Intelligent Customization


cover-image provides flexible cover customization through five dimensions:
  • Type: hero, conceptual, typography, metaphor, scene, minimal

  • Color palette: warm, elegant, cool, dark, earth, vivid, pastel, mono, retro

  • Rendering: flat-vector, hand-drawn, painterly, digital, pixel, chalk

  • Text: none, title-only, title-subtitle, text-rich

  • Mood: subtle, balanced, bold
  • The skill supports automatic selection, but you can also manually specify a value for each dimension to meet the needs of different scenarios.

    2. Intelligent Content Analysis and Language Detection


    cover-image automatically analyzes your article’s content, extracts its themes, keywords, and visual metaphors, and intelligently recommends the most suitable cover style. It also supports multilingual title detection, including Chinese, English, and Japanese, to ensure that the generated cover image remains consistent with the article’s content.

    3. Reference Images and Style Reuse


    You can provide a reference image (--ref). cover-image will deeply analyze the reference image’s visual elements, composition, and stylistic characteristics, then incorporate them into the newly generated cover image. This is especially useful when maintaining consistent brand visuals is important.

    Frequently Asked Questions

    How does cover-image generate a cover image for an article?


    Simply use the /cover-image path/to/article.md command in Claude. The skill will analyze the article’s content, ask you to confirm the cover style—or skip confirmation with --quick—then generate the cover image and save it to the specified directory.

    Which cover styles and color schemes are supported?


    cover-image provides six rendering styles (flat-vector, hand-drawn, painterly, digital, pixel, and chalk) and nine color schemes (warm, elegant, cool, dark, earth, vivid, pastel, mono, and retro). These can be combined to create more than 50 different visual styles suitable for various types of articles.

    What image sizes are supported?


    The skill supports multiple aspect ratios: 2.35:1 (cinematic), 16:9 (widescreen), 4:3, 3:2, 1:1 (square), and 3:4. The default is 16:9, but you can specify another ratio using the --aspect parameter. The generated images are suitable for blogs, social media, and other platforms.