What happens if I don't have R or Python installed?

If no local environment is detected, the skill will generate the complete script and save it to your directory with instructions on how to run it later.

Which programming languages does the skill use to generate figures?

The skill primarily uses R and Python, leveraging specialized packages like ggplot2, metafor, and lifelines to create publication-quality visuals.

Does it follow specific journal formatting for captions?

Yes, it follows a strict five-part structure including a bold title, descriptive body, alphabetical abbreviations, statistical notes, and sequential numbering.

Can it read data from an image I upload?

Yes, it uses Claude's multimodal vision capabilities to extract structured data, point estimates, and statistical notes from uploaded scientific images.

Scientific Figure Visual Engine

Name: Scientific Figure Visual Engine
Author: olaTechie

byolaTechie

0•

Data Science & ML

Interprets, generates, and captions publication-quality scientific figures for quantitative academic research.

The Visual Engine skill transforms how researchers manage academic imagery by providing a comprehensive toolkit for figure analysis and creation. It leverages Claude's multimodal vision to extract structured data from complex scientific plots—such as Forest plots, Kaplan-Meier curves, and PRISMA diagrams—while offering automated generation of new visuals using specialized R and Python code templates. Designed for high-impact manuscript preparation, the skill also automates the creation of five-part, journal-standard captions to ensure every figure is standalone and submission-ready.

Key Features

01Automatic detection of local R and Python execution environments

02Multimodal interpretation of 9+ scientific plot types including Forest and Funnel plots

030 GitHub stars

04Structured data extraction from Kaplan-Meier, Dose-Response, and Cost-Effectiveness planes

05Standardized 5-part caption writing (Title, Body, Abbreviations, Stats, Numbering)

06Automated figure generation using R (ggplot2, metafor) and Python (matplotlib, lifelines)

Use Cases

01Generating publication-ready PRISMA flow diagrams and Forest plots from raw study data

02Extracting specific statistical metrics and point estimates from existing published figures

03Standardizing all figure captions and abbreviations across a complete academic manuscript

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add olatechie/scientific-paper-writer visual

For use in Claude.ai and ChatGPT

Key Features

01Automatic detection of local R and Python execution environments

02Multimodal interpretation of 9+ scientific plot types including Forest and Funnel plots

030 GitHub stars

04Structured data extraction from Kaplan-Meier, Dose-Response, and Cost-Effectiveness planes

05Standardized 5-part caption writing (Title, Body, Abbreviations, Stats, Numbering)

06Automated figure generation using R (ggplot2, metafor) and Python (matplotlib, lifelines)

Use Cases

01Generating publication-ready PRISMA flow diagrams and Forest plots from raw study data

02Extracting specific statistical metrics and point estimates from existing published figures

03Standardizing all figure captions and abbreviations across a complete academic manuscript