What problem does it solve?
This Skill eliminates the risk of wasted development effort on unfeasible retailer availability integrations by providing a structured workflow to validate live stock and price scanning routes before building production code.
Core Features & Use Cases
- Proxy-Backed Feasibility Probes: Validates availability routes using production-like JurlProxyFallback proxy ladders, rejecting local-only or demo data that cannot run in Pear's datacenter environment.
- Status Semantics Mapping: Maps discovered retailer stock signals to Pear's standardized IN_STORE and SHIP_TO_HOME statuses, clearly documenting limitations like online-only availability or store-dependent inventory.
- Production Graduation Guidance: Provides explicit steps to transition proven feasibility routes into production UPCRetailerZipAvailabilityRecomputer and BatchAvailabilityUpdater classes, with checklists to avoid common integration pitfalls.
- Use Case: For a new grocery retailer integration, use this skill to confirm their PDP or inventory API returns live store-specific stock and price via Pear's proxy infrastructure before writing full production availability code.
Quick Start
Use the retailer-availability-scanning-feasibility skill to probe a sample store and UPC against a retailer's live endpoints to confirm if production availability scanning is feasible before building the full integration.