Retail: Product Catalog Cleanup with Claude Code: Result JSON Schema
A production playbook for product catalog cleanup in retail operations using Claude Code: result json schema, run-scoped inputs, logs, typed results, and artifacts.
Audience: Retail and marketplace catalog teams
The problem
Retail and marketplace catalog teams need product catalog cleanup to run repeatedly against product feeds, images, descriptions, taxonomy rules, and exception lists. In retail operations, the pain is not one good answer; it is repeatability, auditability, exception handling, and evidence that survives handoff.
Implementation path
Define the outer result contract once, let the product catalog cleanup skill own body.data, and reject terminal output that does not match the expected schema.
Tradeoffs and failure modes
Schema enforcement adds upfront design work, but removes prompt parsing from the product surface. For product catalog cleanup, the practical test is whether a second run can be debugged, retried, and consumed by a product without reading the raw agent transcript.
Result shape
{
"schema_version": "argo.result.v1",
"summary": "product catalog cleanup completed",
"body": { "type": "retail_product_catalog_cleanup", "data": {}, "exceptions": [] },
"artifacts": []
}
Run this on Argo