| name | graphical-abstract-wizard |
| description | Generate graphical abstract layout recommendations based on paper abstracts |
| version | 1.0.0 |
| category | Visual |
| tags | ["academic","ai-art","research"] |
| author | AIPOCH |
| license | MIT |
| status | Draft |
| risk_level | Medium |
| skill_type | Tool/Script |
| owner | AIPOCH |
| reviewer | |
| last_updated | 2026-02-06 |
Graphical 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