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.

Requirements

This skill depends on the InfraNodus MCP server — specifically the optimize_text_structure tool (and, for the interventions below, generate_content_gaps, develop_latent_topics, develop_conceptual_bridges). Check that these tools are available before starting.

If the InfraNodus server is installed but not signed in (its tools are missing or return an authentication error), tell the user to run /mcp in Claude Code, select InfraNodus and sign in, then continue.

If the InfraNodus MCP server is not available, tell the user plainly (e.g. "The InfraNodus MCP server is not connected, so I can't compute the diversity score; here is a qualitative read instead") and fall back to a manual diagnosis: read the text, list its 3–5 main topic clusters, judge whether one cluster dominates (BIASED), a few are tightly linked (FOCUSED), several are balanced (DIVERSIFIED), or many are disconnected (DISPERSED), and apply the matching intervention below without the graph metrics. Do not fabricate scores, clusters, or gaps that the tool did not return.

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: