baoyu-cover-image

Generate elegant cover images for articles. Analyzes content and creates eye-catching hand-drawn style cover images with multiple style options. Use when user asks to "generate cover image", "create article cover", or "make a cover for article".

25 stars

Best use case

baoyu-cover-image is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Generate elegant cover images for articles. Analyzes content and creates eye-catching hand-drawn style cover images with multiple style options. Use when user asks to "generate cover image", "create article cover", or "make a cover for article".

Teams using baoyu-cover-image should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/baoyu-cover-image/SKILL.md --create-dirs "https://raw.githubusercontent.com/ComeOnOliver/skillshub/main/skills/aiskillstore/marketplace/jimliu/baoyu-cover-image/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/baoyu-cover-image/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How baoyu-cover-image Compares

Feature / Agentbaoyu-cover-imageStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Generate elegant cover images for articles. Analyzes content and creates eye-catching hand-drawn style cover images with multiple style options. Use when user asks to "generate cover image", "create article cover", or "make a cover for article".

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Cover Image Generator

Generate hand-drawn style cover images for articles with multiple style options.

## Usage

```bash
# From markdown file (auto-select style based on content)
/baoyu-cover-image path/to/article.md

# Specify a style
/baoyu-cover-image path/to/article.md --style tech
/baoyu-cover-image path/to/article.md --style warm
/baoyu-cover-image path/to/article.md --style bold

# Without title text
/baoyu-cover-image path/to/article.md --no-title

# Combine options
/baoyu-cover-image path/to/article.md --style minimal --no-title

# From direct text input
/baoyu-cover-image
[paste content or describe the topic]

# Direct input with style
/baoyu-cover-image --style playful
[paste content]
```

## Options

| Option | Description |
|--------|-------------|
| `--style <name>` | Specify cover style (see Style Gallery below) |
| `--no-title` | Generate cover without title text (visual only) |

## Style Gallery

| Style | Description |
|-------|-------------|
| `elegant` (Default) | Refined, sophisticated, understated |
| `tech` | Modern, clean, futuristic |
| `warm` | Friendly, approachable, human-centered |
| `bold` | High contrast, attention-grabbing, energetic |
| `minimal` | Ultra-clean, zen-like, focused |
| `playful` | Fun, creative, whimsical |
| `nature` | Organic, calm, earthy |
| `retro` | Vintage, nostalgic, classic |

Detailed style definitions: `references/styles/<style>.md`

## Auto Style Selection

When no `--style` is specified, the system analyzes content to select the best style:

| Content Signals | Selected Style |
|----------------|----------------|
| AI, coding, tech, digital, algorithm | `tech` |
| Personal story, emotion, growth, life | `warm` |
| Controversial, urgent, must-read, warning | `bold` |
| Simple, zen, focus, essential | `minimal` |
| Fun, easy, beginner, casual, tutorial | `playful` |
| Nature, eco, wellness, health, organic | `nature` |
| History, classic, vintage, old, traditional | `retro` |
| Business, professional, strategy, analysis | `elegant` |

## File Management

### With Article Path

Save to `imgs/` subdirectory in the same folder as the article:

```
path/to/
├── article.md
└── imgs/
    ├── prompts/
    │   └── cover.md
    └── cover.png
```

### Without Article Path

Save to current working directory:

```
./
├── cover-prompt.md
└── cover.png
```

## Workflow

### Step 1: Analyze Content

Extract key information:
- **Main topic**: What is the article about?
- **Core message**: What's the key takeaway?
- **Tone**: Serious, playful, inspiring, educational?
- **Keywords**: Identify style-signaling words

### Step 2: Select Style

If `--style` specified, use that style. Otherwise:
1. Scan content for style signals (see Auto Style Selection table)
2. Match signals to most appropriate style
3. Default to `elegant` if no clear signals

### Step 3: Generate Cover Concept

Create a cover image concept based on selected style:

**Title** (if included, max 8 characters):
- Distill the core message into a punchy headline
- Use hooks: numbers, questions, contrasts, pain points
- Skip if `--no-title` flag is used

**Visual Elements**:
- Style-appropriate imagery and icons
- 1-2 symbolic elements representing the topic
- Metaphors or analogies that fit the style

### Step 4: Create Prompt File

**Prompt Format**:

```markdown
Cover theme: [topic in 2-3 words]
Style: [selected style name]

[If title included:]
Title text: [8 characters or less, in content language]
Subtitle: [optional, in content language]

Visual composition:
- Main visual: [description matching style]
- Layout: [positioning based on title inclusion]
- Decorative elements: [style-appropriate elements]

Color scheme:
- Primary: [style primary color]
- Background: [style background color]
- Accent: [style accent color]

Style notes: [specific style characteristics to emphasize]

[If no title:]
Note: No title text, pure visual illustration only.
```

### Step 5: Generate Image

**Image Generation Skill Selection**:
1. Check available image generation skills
2. If multiple skills available, ask user to choose

**Generation**:
Call selected image generation skill with prompt file and output path.

### Step 6: Output Summary

```
Cover Image Generated!

Topic: [topic]
Style: [style name]
Title: [cover title] (or "No title - visual only")
Location: [output path]

Preview the image to verify it matches your expectations.
```

## Notes

- Cover should be instantly understandable at small preview sizes
- Title (if included) must be readable and impactful
- Visual metaphors work better than literal representations
- Maintain style consistency throughout the cover
- Image generation typically takes 10-30 seconds
- Title text language should match content language

Related Skills

planning-disaster-recovery

25
from ComeOnOliver/skillshub

Execute use when you need to work with backup and recovery. This skill provides backup automation and disaster recovery with comprehensive guidance and automation. Trigger with phrases like "create backups", "automate backups", or "implement disaster recovery".

managing-database-recovery

25
from ComeOnOliver/skillshub

Process use when you need to work with database operations. This skill provides database management and optimization with comprehensive guidance and automation. Trigger with phrases like "manage database", "optimize database", or "configure database".

image-optimization-helper

25
from ComeOnOliver/skillshub

Image Optimization Helper - Auto-activating skill for Frontend Development. Triggers on: image optimization helper, image optimization helper Part of the Frontend Development skill category.

coverage-report-analyzer

25
from ComeOnOliver/skillshub

Coverage Report Analyzer - Auto-activating skill for Test Automation. Triggers on: coverage report analyzer, coverage report analyzer Part of the Test Automation skill category.

consul-service-discovery

25
from ComeOnOliver/skillshub

Consul Service Discovery - Auto-activating skill for DevOps Advanced. Triggers on: consul service discovery, consul service discovery Part of the DevOps Advanced skill category.

gpt-image-1-5

25
from ComeOnOliver/skillshub

Generate and edit images using OpenAI's GPT Image 1.5 model. Use when the user asks to generate, create, edit, modify, change, alter, or update images. Also use when user references an existing image file and asks to modify it in any way (e.g., "modify this image", "change the background", "replace X with Y"). Supports text-to-image generation and image editing with optional mask. DO NOT read the image file first - use this skill directly with the --input-image parameter.

azure-image-builder

25
from ComeOnOliver/skillshub

Build Azure managed images and Azure Compute Gallery images with Packer. Use when creating custom images for Azure VMs.

pytest-coverage

25
from ComeOnOliver/skillshub

Run pytest tests with coverage, discover lines missing coverage, and increase coverage to 100%.

java-add-graalvm-native-image-support

25
from ComeOnOliver/skillshub

GraalVM Native Image expert that adds native image support to Java applications, builds the project, analyzes build errors, applies fixes, and iterates until successful compilation using Oracle best practices.

image-manipulation-image-magick

25
from ComeOnOliver/skillshub

Process and manipulate images using ImageMagick. Supports resizing, format conversion, batch processing, and retrieving image metadata. Use when working with images, creating thumbnails, resizing wallpapers, or performing batch image operations.

github-wayback-recovery

25
from ComeOnOliver/skillshub

Recover deleted GitHub content using the Wayback Machine and Archive.org APIs. Use when repositories, files, issues, PRs, or wiki pages have been deleted from GitHub but may persist in web archives. Covers CDX API queries, URL patterns, and systematic recovery workflows.

github-commit-recovery

25
from ComeOnOliver/skillshub

Recover deleted commits from GitHub using REST API, web interface, and git fetch. Use when you have commit SHAs and need to retrieve actual commit content, diffs, or patches. Includes techniques for accessing "deleted" commits that remain on GitHub servers.