Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Generate editable, publication-quality SVG graphical abstracts for scientific papers using AI models with customizable charts, diagrams, and data-driven visu...
Generate editable, publication-quality SVG graphical abstracts for scientific papers using AI models with customizable charts, diagrams, and data-driven visu...
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
AI-Powered Scientific Visualization Tool - Generate editable graphical abstracts for research papers
Generate professional graphical abstracts for scientific papers using multiple AI models. This skill transforms research descriptions and data into publication-quality, editable SVG visualizations.
Multiple AI Models: Support for Claude, GPT-4o, DeepSeek, and other multimodal models Editable SVG Output: Generate vector graphics that can be edited in Inkscape, Illustrator, or any SVG editor Multiple Chart Types: Bar charts, line charts, pie charts, scatter plots, flowcharts, diagrams Data-Driven Visuals: Automatically create charts from CSV/JSON data Customizable Styles: Adjust colors, fonts, layouts to match journal requirements Publication Ready: High-quality output suitable for scientific journals
/graphical-abstract Generate a graphical abstract showing the research workflow for a CRISPR gene editing study /graphical-abstract Create a bar chart comparing the performance of three different machine learning models from this data: [data] /graphical-abstract Design a flowchart illustrating the mechanism of action of the proposed drug /graphical-abstract Generate a line chart showing temperature changes over time from the following CSV data
/graphical-abstract Create a graphical abstract showing the workflow: Sample preparation โ RNA extraction โ Sequencing โ Data analysis โ Results visualization. Use a clean, professional style with blue color scheme.
/graphical-abstract Generate a bar chart with the following data: Model A: 85% accuracy Model B: 92% accuracy Model C: 78% accuracy Title: Model Performance Comparison Y-axis: Accuracy (%) Color scheme: Professional blue gradient
/graphical-abstract Design a schematic diagram showing how the proposed inhibitor binds to the active site of the enzyme, blocking substrate access. Include labels for key components.
Generate a graphical abstract. OptionDescription--promptDescription of what to visualize--dataData file (CSV/JSON) for charts--typeChart type: bar, line, pie, scatter, flowchart, diagram--modelAI model: claude, gpt4o, deepseek (default: claude)--styleStyle: minimal, professional, colorful, journal--outputOutput SVG file path--widthCanvas width (default: 800)--heightCanvas height (default: 600)
Use predefined templates for common visualizations. OptionDescription--typeTemplate type: workflow, mechanism, comparison, timeline--promptSpecific requirements
Best for: Complex diagrams, scientific illustrations Vision capabilities: Excellent API: Anthropic Claude API
Best for: Charts, data visualization Vision capabilities: Very good API: OpenAI API
Best for: Technical diagrams, cost-effective Vision capabilities: Good API: DeepSeek API
All outputs are in SVG format which offers: Editable: Open in Inkscape, Adobe Illustrator, or any text editor Scalable: Infinite resolution without quality loss Web-ready: Can be embedded directly in websites Publication quality: Meets most journal requirements Example SVG structure: <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 800 600"> <!-- Editable elements with clear structure --> <g id="chart-area">...</g> <g id="labels">...</g> <g id="legend">...</g> </svg>
For complex visualizations, provide detailed descriptions Data files should be in CSV or JSON format SVG files can be edited after generation Different models may produce different styles Journal-specific requirements can be specified in the prompt
sci-data-extractor - Extract data from scientific papers semanticscholar-search-skill - Search academic papers pubmed-search-skill - Search biomedical literature
Workflow acceleration for inboxes, docs, calendars, planning, and execution loops.
Largest current source with strong distribution and engagement signals.