Paper 2 Web

What it does

This skill transforms academic papers into functional web applications, allowing AI agents to generate code that renders research findings interactively. It bridges the gap between static documentation and dynamic software by extracting data and logic from scholarly texts.

When to use it

• You need to visualize complex datasets described in a PDF without manually writing extraction scripts.
• You want to prototype an educational tool based on a specific algorithm explained in a research article.
• You are building a dashboard that needs to display metrics found in industry whitepapers or technical reports.

Key capabilities

• Converts raw text from academic papers into executable web code.
• Extracts and structures data points for immediate visualization.
• Generates frontend interfaces to present research conclusions interactively.

Example prompts

"Turn this PDF on neural network architectures into a working web app." "Create a dashboard that visualizes the climate data findings in this paper." "Generate a web interface that simulates the economic model described in this research article."

Tips & gotchas

Ensure the source document is clearly accessible to the agent, as it must parse the text accurately to build the application. Complex papers with heavy mathematical notation may require additional context to render correctly in the generated code.