Detect evidence-backed ecommerce KPI anomalies and turn them into deduplicated human workorders. Use when a store operator needs to compare the latest product metrics with a historical baseline, find conversion, add-to-cart, refund, ROAS, or stock-cover problems, assign an owner role, and produce a review queue without changing the store automatically.
date + store_id + sku.as_of date. When omitted, the newest date in the CSV is used.summary.json: run counts, gate status, and data-quality findings.workorders.csv: prioritized evidence and owner queues.This skill never logs in to a commerce platform, changes price, adjusts advertising, contacts a customer, or creates a purchase order. It only reads an exported metric table and writes local review artifacts. A human owner must verify source data and approve every business action.
CODEBLOCK0
See README.md and references/operations-playbook.md for field definitions, recovery, and acceptance checks.
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