disagreement-mapping
Skill2 starsChanged 6 months agoApache-2.0View on GitHub
Map disagreement structure by collecting judgments, clustering opinions, extracting arguments per cluster, and visualizing fault lines.
In this repository119 other files it gives its agents.
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The file
Files
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-collectionto gather positions and reasoning from all perspectives - Cluster — Run
cluster-analysisto identify natural groupings of similar positions - Extract — Run
argument-extractionfor each cluster to surface core arguments - Visualize — Run
disagreement-visualizationto 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)
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