cluster-analysis

name	cluster-analysis
description	Identify natural opinion clusters from collected judgments and characterize each cluster.
execution	subagent
prompt	./prompt.md
input	judgments[]
dependencies	{"sops":["spawn-agent"]}

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.