retailer-availability-scanning-feasibility

Validates live stock and price data via proxy-backed Java HTTP requests.

Updated May 15, 2026
One-click install
npx skills add https://github.com/Pear-Commerce/pear-ai-skills --skill retailer-availability-scanning-feasibility
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: retailer-availability-scanning-feasibility
Source: https://github.com/Pear-Commerce/pear-ai-skills/tree/main/skills/retailer-availability-scanning-feasibility
Command: npx skills add https://github.com/Pear-Commerce/pear-ai-skills --skill retailer-availability-scanning-feasibility

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

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.

Frequently Asked Questions about retailer-availability-scanning-feasibility

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I validate retailer inventory data through a proxy before writing production code?

To validate retailer inventory data through a proxy, you perform feasibility probes against live store endpoints using a JurlProxyFallback proxy ladder, rejecting cached or demo data to ensure production compatibility.

How does retailer stock scanning map to standardized in-store and ship-to-home statuses?

Retailer stock scanning maps discovered availability signals to standardized IN_STORE and SHIP_TO_HOME statuses, explicitly documenting limitations such as store-dependent inventory or online-only availability.

Can I use Java HTTP requests to test production feasibility for retailer availability scanning?

Yes, you can use proxy-backed Java HTTP requests to test production feasibility by probing specific store and item identifiers against live retailer endpoints to confirm real-time stock and price data.

What is the best way to transition proven retailer availability routes into production availability updater classes?

To transition proven retailer availability routes into production, follow explicit graduation guidance steps to build UPCRetailerZipAvailabilityRecomputer and BatchAvailabilityUpdater classes, using checklists to avoid integration pitfalls.

Why should I reject local-only data when testing retailer price and stock scanning routes?

You must reject local-only data when testing retailer scanning routes because it cannot run in the datacenter environment, and production availability updater classes require live store-specific stock and price signals.

Do I need a proxy ladder to test online ecommerce availability for grocery retailer integrations?

Yes, you need a proxy ladder like JurlProxyFallback to test online ecommerce availability, ensuring the retailer's PDP or inventory API returns live store-specific stock and price data for production environments.