Retail: Product Catalog Cleanup with Claude Code: API Runtime Pattern
A production playbook for product catalog cleanup in retail operations using Claude Code: api runtime pattern, 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
Package the product catalog cleanup instructions as a skill, send product feeds, images, descriptions, taxonomy rules, and exception lists as run-scoped inputs, execute with Claude Code, poll terminal status, and consume argo.result.v1 instead of parsing a transcript.
Tradeoffs and failure modes
The API boundary forces the workflow to define inputs, terminal states, and result shape before customers depend on it. 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.
Run request
POST /api/skills/<skill_id>/run
provider=claude-code
workflow=retail-product-catalog-cleanup
inputs[]=@./input-pack.zip
result_schema=argo.result.v1
Run this on Argo