---
name: yogsoth-ai/disagreement-mapping
source: https://app.decimal.ai/s/yogsoth-ai-disagreement-mapping@1/SKILL.md
source_sha256: c1dff549d2ec
---

# 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

1. **Collect** — Run `judgment-collection` to gather positions and reasoning from all perspectives
2. **Cluster** — Run `cluster-analysis` to identify natural groupings of similar positions
3. **Extract** — Run `argument-extraction` for each cluster to surface core arguments
4. **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)

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## 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. |

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