rfm-segmentation

Installation
SKILL.md

RFM Segmentation

1. Purpose and guarantees

Item Requirement
Primary purpose Run production-grade person-level RFM (Recency / Frequency / Monetary) segmentation on ThinkingData AE/TE data.
Data source Use real project metadata and ae-cli; never invent event/property names.
Population integrity Never silently change the analysis population.
Default unit One row = one real person/customer, unless the user explicitly requests another business entity.
Operationalization AE tag and user-cluster creation are opt-in and require explicit confirmation.
Final result Render a deterministic user-facing business result using the mandatory output contract.

2. Core principles

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rfm-segmentation — thinkingaiagenticengine/scenario-skills