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baoyu-cover-image

image generationcover imagearticle visualshand-drawn stylecontent creationvisual designbaoyumarketing assets
⭐ 21.7kπŸ•’ 2026-06-13Source β†—

Install this skill

npx skills add jimliu/baoyu-skills

Works across Claude Code, Cursor, Codex, Copilot & Antigravity

The baoyu-cover-image skill automates the creation of thematic header visuals for written content. It processes markdown files or raw text inputs to synthesize imagery that matches the specific mood of your writing. Instead of requiring manual design software, the tool analyzes keywords and document structure to select an appropriate visual styleβ€”ranging from hand-drawn sketches and technical blueprints to cinematic dark-mode aesthetics. It generates files within structured local directories, appending timestamps to prevent overwrites, and handles bilingual title rendering. By bridging the gap between content analysis and graphic output, it ensures your documents possess a consistent, professional, and visually relevant appearance without leaving your command-line workflow or agent interface.

When to Use This Skill

  • β€’Generating blog post banners directly from markdown source files
  • β€’Creating branded social media images for technical tutorials
  • β€’Visualizing system design documents with architectural blueprint styles
  • β€’Producing consistent headers for educational slide decks or handouts

How to Invoke This Skill

Example prompts that trigger this skill in Claude Code, Cursor, or Antigravity:

  • β€œGenerate a cover image for my article at path/to/file.md
  • β€œCreate a blueprint style header for this text
  • β€œMake a 16:9 cover image for the markdown file about system design
  • β€œRun cover generation for the following draft content
  • β€œCreate a minimal visual for my productivity article

Pro Tips

  • πŸ’‘Experiment with `--style` options: Don't stick to the default; try `blueprint`, `warm`, `dark-atmospheric`, or `minimal` to see which best matches your article's mood and topic.
  • πŸ’‘Leverage `--aspect` ratios: Use `2.35:1` for a cinematic feel on a landing page, `1:1` for optimal social media presentation, or `16:9` for general widescreen use to maximize visual impact.
  • πŸ’‘For maximum control, provide clear, concise descriptions of your desired image if using direct text input, or ensure your markdown article has a well-defined title and introduction for best auto-style selection.

What this skill does

  • β€’Automatic style selection based on semantic content analysis
  • β€’Support for 20 distinct visual styles including pixel-art, chalkboard, and blueprint
  • β€’Configurable aspect ratios including 2.35:1, 16:9, and 1:1
  • β€’Multi-language title text support for global content
  • β€’Local file management with auto-generated slug-based directories

When not to use it

  • βœ•When you require complex, custom branding or specific corporate logo placement
  • βœ•For projects demanding photographic realism or high-fidelity human portraiture

Example workflow

  1. Specify the target markdown file path in the command
  2. Allow the tool to analyze text topics and keywords
  3. Override the automatic style if a specific look like 'retro' or 'minimal' is preferred
  4. Set the desired aspect ratio for the target platform
  5. Review the generated png file inside the newly created cover-image directory

Prerequisites

  • –A local markdown file or prepared text content
  • –Write permissions in the current directory

Pitfalls & limitations

  • !Overwriting existing files if the slug-based directory already exists without unique naming
  • !The system might misinterpret ambiguous topics, requiring manual style overrides
  • !Source file naming convention is strict and requires following the tool's pattern

FAQ

Can I choose my own aspect ratio?
Yes, use the --aspect flag followed by your preferred ratio, such as 1:1 for social media or 16:9 for widescreen.
What happens if I don't specify a style?
The tool automatically selects the most relevant style based on the content analysis of your article.
How can I remove text from the generated image?
Include the --no-title flag to generate a visual-only image without any overlaid title text.
Does the tool support non-English languages?
Yes, you can use the --lang flag to specify the desired language code for the title rendering.

How it compares

Unlike generic image generators that require iterative prompting, this tool automates style selection and directory management, making it optimized for developer documentation and article workflows.

Source & trust

⭐ 22k starsπŸ•’ Updated 2026-06-13
πŸ“„ Full skill instructions β€” original source: jimliu/baoyu-skills
# Cover Image Generator

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

## Usage

# 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 blueprint
/baoyu-cover-image path/to/article.md --style warm
/baoyu-cover-image path/to/article.md --style dark-atmospheric

# 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) |
| --aspect <ratio> | Aspect ratio: 2.35:1 (cinematic, default), 16:9 (widescreen), 1:1 (social) |
| --lang <code> | Output language for title text (en, zh, ja, etc.) |
| --no-title | Generate cover without title text (visual only) |

## Style Gallery

| Style | Description |
|-------|-------------|
| elegant (Default) | Refined, sophisticated, understated |
| flat-doodle | Bold outlines, pastel colors, cute rounded shapes |
| blueprint | Technical schematics, engineering precision |
| bold-editorial | Magazine cover impact, dramatic typography |
| chalkboard | Black chalkboard, colorful chalk drawings |
| dark-atmospheric | Cinematic dark mode, glowing accents |
| editorial-infographic | Magazine explainer, visual storytelling |
| fantasy-animation | Ghibli/Disney inspired, whimsical charm |
| intuition-machine | Technical briefing, bilingual labels |
| minimal | Ultra-clean, zen-like, focused |
| nature | Organic, calm, earthy |
| notion | Clean SaaS dashboard, productivity styling |
| pixel-art | Retro 8-bit, nostalgic gaming aesthetic |
| playful | Fun, creative, whimsical |
| retro | Halftone dots, vintage badges, classic |
| sketch-notes | Hand-drawn, educational, warm |
| vector-illustration | Flat vector, black outlines, retro colors |
| vintage | Aged paper, historical, expedition style |
| warm | Friendly, approachable, human-centered |
| watercolor | Soft hand-painted, natural warmth |

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 |
|----------------|----------------|
| Architecture, system design, engineering | blueprint |
| Product launch, keynote, marketing, brand | bold-editorial |
| Education, classroom, tutorial, teaching | chalkboard |
| Entertainment, creative, premium, cinematic | dark-atmospheric |
| Technology explainer, science, research | editorial-infographic |
| Storytelling, children, fantasy, magical | fantasy-animation |
| Technical docs, academic, bilingual | intuition-machine |
| Personal story, emotion, growth, life | warm |
| Simple, zen, focus, essential | minimal |
| Fun, easy, beginner, casual | playful |
| Nature, eco, wellness, health, organic | nature |
| Pop culture, 80s/90s nostalgia, badges | retro |
| Product, SaaS, dashboard, productivity | notion |
| Productivity, workflow, app, tools, cute | flat-doodle |
| Gaming, retro tech, developer, 8-bit | pixel-art |
| Educational, tutorial, knowledge sharing | sketch-notes |
| Creative proposals, brand, toy-like | vector-illustration |
| History, exploration, heritage, biography | vintage |
| Lifestyle, travel, food, personal | watercolor |
| Business, professional, strategy, analysis | elegant |

## File Management

### Output Directory

Each session creates an independent directory named by content slug:

cover-image/{topic-slug}/
β”œβ”€β”€ source-{slug}.{ext} # Source files (text, images, etc.)
β”œβ”€β”€ prompts/
β”‚ └── cover.md
└── cover.png


**Slug Generation**:
1. Extract main topic from content (2-4 words, kebab-case)
2. Example: "The Future of AI" β†’ future-of-ai

### Conflict Resolution

If cover-image/{topic-slug}/ already exists:
- Append timestamp: {topic-slug}-YYYYMMDD-HHMMSS
- Example: ai-future exists β†’ ai-future-20260118-143052

### Source Files

Copy all sources with naming source-{slug}.{ext}:
- source-article.md (main text content)
- source-logo.png (image from conversation)

Multiple sources supported: text, images, files from conversation.

## Workflow

### Step 1: Analyze Content

1. **Save source content** (if not already a file):
- If user provides a file path: use as-is
- If user pastes content: save to source.md in target directory

2. **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

3. **Language detection**:
- Detect **source language** from content
- Detect **user language** from conversation context
- Note if source_language β‰  user_language (will ask in Step 3)

### Step 2: Determine Options

1. **Style selection**:
- If --style specified, use that style
- Otherwise, scan content for style signals and auto-select 3 candidates
- Default to elegant if no clear signals

2. **Aspect ratio**:
- If --aspect specified, use that ratio
- Otherwise, prepare options: 2.35:1 (cinematic), 16:9 (widescreen), 1:1 (social)

### Step 3: Confirm Options

**Purpose**: Let user confirm all options in a single step before generation.

**IMPORTANT**: Present ALL options in a single confirmation step using AskUserQuestion. Do NOT interrupt workflow with multiple separate confirmations.

**Determine which questions to ask**:

| Question | When to Ask |
|----------|-------------|
| Style | Always (required) |
| Aspect ratio | Always (offer common options) |
| Language | Only if source_language β‰  user_language |

**Present options** (use AskUserQuestion with all applicable questions):

**Question 1 (Style)** - always:
- Style A (recommended): [style name] - [brief description]
- Style B: [style name] - [brief description]
- Style C: [style name] - [brief description]
- Custom: Provide custom style reference

**Question 2 (Aspect)** - always:
- 2.35:1 Cinematic (Recommended) - ultra-wide, dramatic
- 16:9 Widescreen - standard video/presentation
- 1:1 Square - social media optimized

**Question 3 (Language)** - only if source β‰  user language:
- [Source language] (matches content)
- [User language] (your preference)

**Language handling**:
- If source language = user language: Just inform user (e.g., "Title will be in Chinese")
- If different: Ask which language to use for title text

### Step 4: 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 5: Create Prompt File

Save prompt to prompts/cover.md with confirmed options.

**All prompts are written in the user's confirmed language preference.**

**Prompt Format**:

Cover theme: [topic in 2-3 words]
Style: [selected style name]
Aspect ratio: [confirmed aspect ratio]

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

Visual composition:
- Main visual: [description matching style]
- Layout: [positioning based on title inclusion and aspect ratio]
- 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 6: 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, output path, and confirmed aspect ratio.

### Step 7: Output Summary

Cover Image Generated!

Topic: [topic]
Style: [style name]
Aspect: [aspect ratio]
Title: [cover title] (or "No title - visual only")
Language: [confirmed language]
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 uses user's confirmed language preference
- Aspect ratio: 2.35:1 for cinematic/dramatic, 16:9 for widescreen, 1:1 for social media

## Extension Support

Custom styles and configurations via EXTEND.md.

**Check paths** (priority order):
1. .baoyu-skills/baoyu-cover-image/EXTEND.md (project)
2. ~/.baoyu-skills/baoyu-cover-image/EXTEND.md (user)

If found, load before Step 1. Extension content overrides defaults.

How to Use This Skill Unit

Option A: Project-Specific (Recommended)

  1. Click "Download" above
  2. In your project, create the directory: .agent/skills/baoyu-cover-image/
  3. Save the file as SKILL.md
  4. The agent will automatically discover the skill based on its description.

Option B: Global Installation (All Agents)

Save the file to these locations to make it available across all projects:

  • Claude Code: ~/.claude/skills/jimliu/baoyu-skills/baoyu-cover-image/SKILL.md
  • Cursor: ~/.cursor/skills/jimliu/baoyu-skills/baoyu-cover-image/SKILL.md
  • Antigravity: ~/.gemini/antigravity/skills/jimliu/baoyu-skills/baoyu-cover-image/SKILL.md

πŸš€ Install with CLI:
npx skills add jimliu/baoyu-skills

Read the Master Guide: Mastering Agent Skills β†’

Recommended Rules

View more rules β†’

Recommended Workflows

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Take It Further

Maximize your productivity with these powerful resources

πŸ“‹

Define Your Standards

Set up coding standards to ensure this workflow produces consistent, high-quality results.

Browse Rules Library
πŸ“–

Master Workflows

Learn how to create custom workflows, use Turbo Mode, and build your automation library.

Complete Guide

How to use this Skill in Claude Code & Cursor

For Claude Code (CLI)

To use this skill in Claude Code, copy the rule content into your project's custom instructions or follow our Add-Skill CLI guide. This ensures Claude follows your standards during every code generation.

For Cursor & Windsurf

For Cursor or Windsurf, individual skills are best used in the "Rules for AI" section. This specific unit helps the agent avoid creative & visual issues, leading to cleaner, more efficient code.

Why the skill format matters: the standardized Agent Skills format lets your AI agent load detailed instructions only when they are relevant, keeping your prompt clean while improving results.

Source & attribution

This skill is categorized under Creative & Visual and is published by Jim Liu, maintained in jimliu/baoyu-skills.

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