Shifting Perspective

This skill uses InfraNodus knowledge graph analysis to diagnose the structural diversity of a discourse and then actively shift perspective by developing underrepresented areas, bridging gaps, and surfacing latent ideas — all grounded in the actual topology of the text's knowledge graph.

Core Workflow

Step 1: Structural Diagnosis with optimize_text_structure

Always begin by running InfraNodus:optimize_text_structure on the input (text, URL, YouTube video, or existing InfraNodus graph). This tool returns:

• diversity_score: BIASED, FOCUSED, DIVERSIFIED, or DISPERSED
• Main advice on how to develop the discourse (this is the primary guidance — prioritize it)
• topicalClusters: The main topic groups in the text
• contentGaps: Structural gaps between topic clusters
• topicsToDevelop: Underrepresented or latent topics
• mainConcepts: High-betweenness centrality nodes (the most influential concepts)
• conceptualGateways: Bridge concepts that connect different clusters

Present this diagnosis to the user clearly, then proceed to the appropriate intervention.