---
name: yogsoth-ai/cluster-analysis
source: https://app.decimal.ai/s/yogsoth-ai-cluster-analysis@1/SKILL.md
source_sha256: 30d2d63d1307
---

# 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.

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## 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. |

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