disagreement-mapping

Research

Map disagreement structure by collecting judgments, clustering opinions, extracting arguments per cluster, and visualizing fault lines.

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Source SKILL.md: https://github.com/yogsoth-ai/de-anthropocentric-research-engine/blob/HEAD/skills/disagreement-mapping/SKILL.md

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Disagreement Mapping

Map the structure of disagreement rather than forcing convergence. Collect diverse judgments, identify natural clusters of opinion, extract the core arguments supporting each cluster, and produce a visual map of the disagreement topology.

Stages

Collect — Run judgment-collection to gather positions and reasoning from all perspectives
Cluster — Run cluster-analysis to identify natural groupings of similar positions
Extract — Run argument-extraction for each cluster to surface core arguments
Visualize — Run disagreement-visualization to produce the disagreement map

Available SOPs

SOP	Role in Tactic
judgment-collection	Gather positions with reasoning from all perspectives
cluster-analysis	Identify natural opinion clusters and characterize them
argument-extraction	Extract and steel-man core arguments for each cluster
disagreement-visualization	Produce structured map of clusters, arguments, and fault lines

Execution Guidance

Collect BOTH positions AND reasoning (not just ratings)
Clustering should be based on reasoning similarity, not just position proximity
Each cluster's arguments should be steel-manned (strongest possible version)
Visualization should show: cluster sizes, key arguments, fault lines between clusters
Identify whether disagreements are empirical, value-based, or definitional

Minimum Yield

Disagreement clusters (identified clusters with characterization)
Core arguments per cluster (core arguments per cluster, steel-manned)
Visualization (disagreement map showing topology and fault lines)

Available SOPs

Optional, no fixed order; the final leaf is always a sop.

SOP	When to use
argument-extraction	Extract and steel-man the core arguments supporting a given opinion cluster.
cluster-analysis	Identify natural opinion clusters from collected judgments and characterize each cluster.
disagreement-visualization	Produce a structured disagreement map showing clusters, arguments, and fault lines.
judgment-collection	Collect independent judgments from all perspectives on a given question.