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Academic Figure Generation (Grade A)Security-tested data-ai skill for Claude AI. Grade A. Generates publication-quality academic figures (framework diagrams, pipeline illustrations, system architectures, method overviews) from a paper's

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Daniel NikulshynReviewed by Daniel Nikulshyn·Updated July 2026

Overview

Academic Figure Generation (Grade A) is a security-tested data-ai skill for Claude AI that generates publication-quality academic figures from a paper's method text and target caption. It uses a local PaperBanana multi-agent pipeline, which consists of a Retriever, Planner, Stylist, Visualizer, and Critic. The tool provides a thin CLI wrapper around PaperBanana, allowing users to generate figures by feeding in method text and captions. The process involves a one-time setup where users clone the PaperBanana repository, configure the model and API keys, and then follow a workflow to generate figures. This workflow includes gathering inputs such as method text and figure captions, generating candidate figures, presenting and iterating on the results, and exporting the final PNGs. The tool is designed for creating various types of academic figures, including framework diagrams, pipeline illustrations, system architectures, and method overviews. It supports different image models and API keys, allowing users to choose between options like Gemini and OpenRouter. One of the key features of Academic Figure Generation is its ability to produce high-quality figures that meet the standards of academic publications. The tool also allows for refinements such as color scheme, layout, label text, and font size adjustments. However, the tool requires a certain level of technical expertise, as users need to configure the model and API keys and use the command-line interface to generate figures. The tool can be used in various academic settings, such as research papers, conference presentations, and journal articles. The generated figures can be customized to fit the style guidelines of different venues, including color palette, fonts, labels, and whitespace.

Key features

  • Multi-agent pipeline for figure generation
  • Support for different image models and API keys
  • Command-line interface for generating figures
  • Customizable figure styles

Pricing

Model
Free
Category
Skills
Rating
No reviews yet

Use cases

Research Paper Figures

Generate publication-quality figures for research papers, including framework diagrams, pipeline illustrations, and system architectures.

Conference Presentations

Create high-quality figures for conference presentations, including method overviews and comparison diagrams.

Journal Articles

Produce customized figures for journal articles, adhering to specific style guidelines and formatting requirements.

Pros & Cons

Pros

  • Generates publication-quality academic figures
  • Supports various image models and API keys
  • Allows for refinements such as color scheme and layout adjustments
  • Can be used for different types of academic figures

Cons

  • Requires technical expertise for setup and use
  • Limited to users with access to API keys for image models

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Q&A

Is the tool customizable?

Yes, the tool allows for refinements such as color scheme and layout adjustments, and supports different image models and API keys.

Asked by Tariq Aziz · May 7, 2026

What types of figures can be generated?

The tool can generate publication-quality academic figures, including framework diagrams, pipeline illustrations, system architectures, and method overviews.

Asked by Tobias Hartmann · Apr 26, 2026

What is required to use the tool?

The tool requires technical expertise for setup and use, as well as access to API keys for image models.

Asked by Bianca Ferreira · Apr 23, 2026

What is the setup process?

The setup process involves cloning the PaperBanana repository, configuring the model and API keys, and then following a workflow to generate figures.

Asked by Mia Andersen · Apr 11, 2026

Ask a question

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