research-visualizer

To visualize a research trajectory, run the research-visualizer skill on an Agent-Native Research Artifact (ARA) directory to parse exploration trees and metadata, generating an interactive HTML file. This provides a clear, step-by-step view of the AI research process.

An ARA exploration tree is a structured research artifact that maps the steps taken by an AI agent during its research process. The visualizer parses this data to render a human-readable narrative showing the trajectory from problem framing to final results.

Visualizing an ARA file does not alter the original research data because the skill provides a read-only consumer view. It parses the exploration tree and associated metadata to generate an interactive HTML representation while keeping the source artifacts unaltered.

The research-visualizer requires parsing and processing ARA files that include exploration trees and associated metadata to function correctly. Generating the user-friendly HTML representation depends on having this complete research trajectory data available in the input directory.

Yes, the research-visualizer depends on the ara-commons module to parse Agent-Native Research Artifacts and generate interactive HTML files. This dependency is required to process the exploration trees and render the step-by-step research visualization.