cluster-analysis

Research

Identify natural opinion clusters from collected judgments and characterize each cluster.

QUICK START

How to use this skill

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

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Cluster Analysis

Identify natural groupings of similar positions within the collected judgments. Characterize each cluster by its central position, shared reasoning patterns, and distinguishing features.

Execution

Spawn a subagent that analyzes the judgments for similarity patterns, groups them into coherent clusters, and provides characterization of each cluster.

Why Subagent

Clustering requires holistic analysis of all judgments simultaneously
Characterization is a bounded analytical task
Output structure is standardized

HARD-GATE

Output MUST contain: at least 2 clusters (if genuine disagreement exists), each with cluster_id, position_summary, member_count, and characterization. If all judgments agree, output 1 cluster with a note.

Available SOPs

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

SOP	When to use
spawn-agent	Spawn a customized CC subagent with full MCP tool access. Used by SOPs that declare execution: subagent.