graphical-abstract-wizard
Generate graphical abstract layout recommendations based on paper abstracts
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/aipoch-ai/graphical-abstract-wizardGraphical Abstract Wizard
This Skill analyzes academic paper abstracts and generates graphical abstract layout recommendations, including element suggestions, visual arrangements, and AI art prompts for Midjourney and DALL-E.
Usage
python scripts/main.py --abstract "Your paper abstract text here"
Or from stdin:
cat abstract.txt | python scripts/main.py
Parameters
| Parameter | Type | Required | Description |
|---|---|---|---|
--abstract / -a | string | Yes* | The paper abstract text to analyze |
--style / -s | string | No | Visual style preference (scientific/minimal/colorful/sketch) |
--format / -f | string | No | Output format (json/markdown/text), default: markdown |
--output / -o | string | No | Output file path (default: stdout) |
*Required if not providing input via stdin
Examples
Example 1: Basic Usage
python scripts/main.py -a "We propose a novel deep learning approach for protein structure prediction that combines transformer architectures with geometric constraints. Our method achieves state-of-the-art accuracy on CASP14 benchmarks."
Example 2: With Style Preference
python scripts/main.py -a "abstract.txt" -s scientific -o layout.md
Example 3: JSON Output for Integration
python scripts/main.py -a "$(cat abstract.txt)" -f json > result.json
Output Format
The Skill produces a structured analysis including:
1. Key Concepts Extracted
- Core research topic
- Methods/techniques used
- Key findings/results
- Implications
2. Visual Element Recommendations
- Recommended icons/symbols
- Color palette suggestions
- Layout structure
3. AI Art Prompts
- Midjourney Prompt: Optimized for Midjourney v6
- DALL-E Prompt: Optimized for DALL-E 3
4. Layout Blueprint
- Grid-based layout suggestion
- Element positioning
- Flow direction
Example Output
# Graphical Abstract Recommendation
## Abstract Summary
**Topic**: Deep learning protein structure prediction
**Method**: Transformer + Geometric constraints
**Result**: State-of-the-art CASP14 accuracy
## Key Concepts
- ๐งฌ Protein structures
- ๐ค Neural networks
- ๐ Accuracy metrics
## Visual Elements
| Element | Symbol | Position | Color |
|---------|--------|----------|-------|
| Core Concept | Brain + DNA | Center | Blue |
| Method | Neural Network | Left | Purple |
| Result | Trophy/Chart | Right | Gold |
## Layout Suggestion
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ โ [Title/Concept] โ โ ๐งฌ๐ค โ โโโโโโโโโโโโฌโโโโโโโโโโโฌโโโโโโโโโโโโค โ Input โ Process โ Output โ โ ๐ฅ โ โ๏ธ โ ๐ โ โโโโโโโโโโโโดโโโโโโโโโโโดโโโโโโโโโโโโ
## AI Art Prompts
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-aipoch-ai-graphical-abstract-wizard": {
"enabled": true,
"auto_update": true
}
}
}Tags
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