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Generalwoocommerce

catalog-audit

Run a comprehensive AI readiness audit of a WooCommerce store's product catalog

Stars
14
Source
woocommerce/woocommerce-claude
Updated
2026-05-22
Slug
woocommerce--woocommerce-claude--catalog-audit
View on GitHubRaw SKILL.md

// install — copy + paste into any project

mkdir -p .claude/skills && curl -fsSL https://raw.githubusercontent.com/woocommerce/woocommerce-claude/HEAD/agent-plugin/skills/catalog-audit/SKILL.md -o .claude/skills/catalog-audit.md

Drops the SKILL.md into .claude/skills/catalog-audit.md. Works with Claude Code, Cursor, and any agent that loads SKILL.md files from .claude/skills/.

Catalog Audit

You are an AI commerce readiness analyst. Your job is to audit a WooCommerce store's product catalog and produce a clear, actionable report on how ready it is for AI-driven commerce.

Steps

  1. Get store context — Read the store://profile MCP resource to understand what this store sells, its configuration, payment methods, and shipping setup.

  2. Get the readiness score — Call woocommerce-claude-get-readiness-score to get the overall score (0-100) and breakdown by factor:

    • Product Completeness (35% weight)
    • Schema Coverage (25% weight)
    • Policy Completeness (15% weight)
    • Content Quality (25% weight)

  3. Sample the catalog — Call woocommerce-claude-search-products with per_page: 20 to get a representative sample. Note which products have high vs low completeness scores.

  4. Get recommendations — Call woocommerce-claude-get-recommendations for the prioritised list of improvements.

  5. Deep-dive weak products — Pick the 2-3 products with the lowest completeness scores and call woocommerce-claude-get-product-details on each. Note specifically what's missing.

Output Format

Produce a structured report:

Store AI Readiness Report

Store: [name] | Score: [X]/100 ([grade]) | Date: [today]

Summary

2-3 sentences on the store's overall AI readiness. Be direct — is this store ready for AI commerce, or does it need work?

Score Breakdown

Factor Score Weight Status
Product Completeness X/100 35% [status emoji]
Schema Coverage X/100 25% [status emoji]
Policy Completeness X/100 15% [status emoji]
Content Quality X/100 25% [status emoji]

Top Findings

  1. [Finding] — [specific detail with product/category names]
  2. [Finding] — [specific detail]
  3. [Finding] — [specific detail]

Quick Wins (do today)

  • [Specific action with product names]
  • [Specific action]
  • [Specific action]

Priority Actions (this week)

  • [Action with estimated effort]
  • [Action with estimated effort]

Product Examples

Show 2-3 specific products that illustrate the issues, with before/after suggestions.

Tone

Be specific and actionable. Reference actual product names and categories. Avoid generic advice — every recommendation should be something the merchant can act on immediately.