retailer-integration-feasibility

Validate retailer integration feasibility for Pear Commerce's api.pearcommerce.com platform.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill eliminates the guesswork and wasted effort of building retailer integrations for Pear Commerce without first validating that core onboarding surfaces (store import, UPC resolution, availability scanning) are technically feasible, reducing failed implementation attempts and accelerating production rollout.

Core Features & Use Cases

  • End-to-End Feasibility Coordination: Orchestrates probes for all three core retailer onboarding surfaces, delegating to focused skills for surface-specific testing.
  • Proxy-Backed Java Probe Generation: Creates production-runnable @Script feasibility tests using JurlProxyFallback and Chrome discovery, ensuring routes work in Pear's datacenter environment, not just local setups.
  • Production Transition & Tracking: Routes proven feasible routes to production integration classes, manages feasibility PRs, and updates the retailer onboarding spreadsheet with route status, proxy requirements, and caveats.
  • Use Case: When your team needs to add a new grocery or retail partner to Pear's platform, use this skill to systematically test if store data can be imported, if UPCs can be resolved to retailer item IDs, and if stock/price availability can be fetched, before writing any production code.

Quick Start

Use the retailer-integration-feasibility skill to evaluate a new retailer URL and generate Java @Script probes that validate store import, UPC resolution, and availability scanning routes for Pear Commerce integration.

Frequently Asked Questions about retailer-integration-feasibility

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

FAQPage Schema
How do I test retailer integration feasibility for store import and UPC resolution before writing production code?

Retailer integration feasibility testing validates store import, UPC resolution, and availability scanning routes by generating proxy-backed Java @Script probes using JurlProxyFallback and Chrome discovery before production code is written.

What is UPC resolution and availability scanning in the context of retailer onboarding?

UPC resolution maps UPCs and product names to retailer item IDs and PDP URLs, while availability scanning checks store-level inventory and online ecommerce stock and price data for new retailer onboarding integrations.

How do I validate if a new grocery or retail partner's API routes work in my datacenter environment?

You validate availability scanning and UPC resolution routes by generating proxy-backed Java @Script probes using JurlProxyFallback and Chrome discovery, ensuring the routes function correctly in the datacenter environment before production integration development.

Can I use proxy-backed Java probes to test retailer stock and price checks before committing to a full build?

Yes, proxy-backed Java @Script feasibility probes test store-level inventory and online ecommerce stock and price checks using JurlProxyFallback and Chrome discovery, confirming route viability before committing to a full production build.

What are the limitations of using JavaScript probes for retailer integration feasibility testing?

JavaScript probes for retailer integration feasibility testing are limited to testing store import, UPC resolution, and availability scanning routes, requiring proxy fallbacks like JurlProxyFallback and Chrome discovery to ensure datacenter environment compatibility.