Popular seller tasks

Agentic Commerce Skills & Plugins

Inspect public storefront discovery and structured-data surfaces

Open sourceAny store

Overview

This collection guides developers implementing agent commerce protocols and checkout integrations. It combines protocol references, readiness probes and project-specific coding guidance.

Who it suits

Storefront developers investigating agent-readable product data and UCP or ACP checkout integrations for a merchant-controlled website.

Who it may not suit

Merchants expecting installation to enroll their store in an AI shopping channel, or seeking guaranteed recommendations from a readiness score.

Seller use cases

  • Product information is hard for agents to interpret → inspect public discovery and structured-data surfaces → turn missing fields into a storefront engineering backlog.
  • A team considers agent checkout → compare the relevant UCP or ACP requirements → identify authentication, order, and payment work for a prototype.
  • A storefront implementation changes → rerun the applicable readiness probes → inspect which findings changed before requesting channel-specific approval.

What you can do

  • Inspect public storefront discovery and structured-data surfaces. ↗
  • Plan UCP or ACP checkout integration against current specifications. ↗
  • Map readiness findings to a focused implementation task. ↗

What you need

  • A coding agent, a project workspace and permission to inspect the target storefront.

Install

Claude Code / Cursor / Codex / Gemini / OpenClaw

npx skills add orcaqubits/agentic-commerce-skills-plugins
Installation source ↗

Permissions & data

Skills can edit files, execute scripts and fetch official documentation. Readiness probes contact the target site; hooks inspect code for exposed secrets.

Project info

Maintainer
OrcaQubits
GitHub stars at check date
40
Last commit
2026-09-14
License
MIT
Last checked
2026-10-30
GitHub ↗

Pricing at a glance

The repository provides MIT-licensed skills and checking scripts without a separate subscription listed. Hosting a checkout integration, model use, and payment processing depend on the services your implementation actually uses.

Open source

Good to know

A scanner can only evaluate the surfaces it probes. Deep checks may send POST requests, and protocol examples may need updating as specifications change; use a storefront you are authorized to inspect.

Alternatives to Agentic Commerce Skills & Plugins

Shopify’s development skills focus on Shopify APIs and storefront code instead of cross-provider agent-commerce readiness.

PayPal’s toolkit provides a sandbox-oriented payment integration workflow; it is more focused than the protocol and discovery checklist here.

Stripe AI supplies provider-specific payment development guidance and account tools for the payment portion of an integration.

Frequently asked questions

Does a readiness score mean the store is accepted by an AI channel?

No. The score summarizes the project’s checks. Each channel decides eligibility and acceptance using its own requirements, which this repository cannot grant.

Will the checks modify my store?

Some deeper probes can issue POST requests. Review the selected mode and endpoint behavior, and use a test environment when you cannot safely evaluate those requests on production.

Can I use it to replace a shopping platform integration?

The skills help plan and inspect integrations; they do not create the commercial account, platform authorization, or payment setup needed to operate one.

What should the first review produce?

A concrete list of missing discovery data and protocol implementation tasks, tied to observed responses. Treat assumptions about future channel behavior as work to verify, not completed compatibility.

Checked against the official site on 2026-10-30 · Official source ↗

Sources