literature-graph-builder

This Skill constructs interactive literature graphs by parsing structured JSON artifacts from your deep-read notes into nodes and edges. It validates the graph relationships, enabling you to visualize connections between papers, methods, and topics.

A literature graph maps academic research connections by representing papers, methods, topics, and datasets as interactive nodes. It helps literature review workflows by validating edges with source-backed evidence and embedding figures, making the research landscape easier to understand.

Edge validation ensures that relationships between graph nodes have supporting evidence from your literature notes. During graph construction, the Skill checks node and edge metadata, including source-backed evidence and figure integration, to maintain graph accuracy.

Yes, structured JSON artifacts are required to construct and validate literature graphs. The Skill applies JSON schema validation to process node and edge metadata, ensuring accurate graph rendering from your deep-read notes.

Yes, you can embed figures into the interactive literature graph and provide source locators. The Skill handles node and edge metadata integration, allowing figures to be directly mapped alongside papers and methods within the academic research visualization.

Graph construction relies entirely on structured JSON artifacts, meaning unstructured notes cannot be directly processed without prior formatting. Additionally, edge validation depends on the source-backed evidence present in your input data to accurately map the research landscape.