What problem does it solve? Analysts building rhizomatic concept maps often mistake important topics, section headings, or frequently mentioned elements for genuine nodes. This Skill provides a rigorous validation procedure to determine whether a proposed node is truly a concentration of relations and tensions, preventing thematic categories from polluting the map's architecture. ## Core Features & Use Cases - Relational Validation Sequence: Evaluates candidates through elements, relations, tensions, concentration, dynamic, transformation, and distinct function before granting node status. - Classification Taxonomy: Assigns each candidate a status (Strong Node, Plausible Node, Ambiguous Node, Thematic Cluster, Element-Centered Section, Relation Without Node, or Insufficient) with severity, confidence, and recommendation levels. - Counterfactual Tests: Applies removal, absorption, redistribution, merger, boundary, and relational tests to confirm whether a concentration survives without its topic label. - Use Case: When mapping a book's conceptual architecture, use this Skill to test whether a chapter titled "AI and Education" is a real node (concentrating tensions between evaluation, attribution, and AI-mediated outputs) or merely a thematic cluster. ## Quick Start Ask the AI to validate whether a proposed node in your text is a genuine relational concentration using the node-validation procedure.
