SuperAPI AI Directory

store-map

Office & productivity

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Updated 11-03 10:03

About this skill

Store Map

Purpose

Assemble the store side of the readiness equation: profile + what is physically confirmed on site.

When to use

After pack-ingest in every run.

Inputs

Store master export (format, cluster, fixtures); receiving confirmations; task-system export; current shelf-price extract.

Steps

  1. Build store.json: store_id, format, cluster, fixtures[], received_assets[], completed_tasks[].
  2. Build shelf-prices.json from the POS/price extract - current shelf price per SKU.
  3. Keep export identities as citations.

Output

store.json + shelf-prices.json.

Grounding requirements

Fixtures and confirmations come from records, never assumptions ("it always has an end-cap" is not a record).

Constraints

  • Mapping only; the readiness verdict belongs to the engine.

Escalation / uncertainty

Missing store profile blocks readiness (#6) - ask store ops for the profile.