shifting-perspectivelisted

Analyze discourse structure using InfraNodus optimize_text_structure tool and shift perspective based on diversity score. Use when a conversation, text, URL, or YouTube video would benefit from additional viewpoints, when the user feels stuck in one frame of thinking, when research needs broadening, when analyzing any text for structural balance, or when the user asks to "shift perspective", "broaden the view", "what am I missing", "analyze the structure", "check for bias", "develop this further", or "give me a different angle". Also trigger when the user provides a text or URL and asks for critical analysis, development suggestions, or wants to understand what perspectives are underrepresented. Works hand-in-hand with cognitive-variability skill for state-based interventions after structural diagnosis.
infranodus/skills · ★ 118 · Testing & QA · score 76

Install: claude install-skill infranodus/skills

# 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 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: - **diversity_score**: BIASED, FOCUSED, DIVERSIFIED, or DISPERSED - **Main advi