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Run a comprehensive AI readiness audit of a WooCommerce store's product catalog
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Showing SKILL.md
| name | catalog-audit |
| description | Run a comprehensive AI readiness audit of a WooCommerce store's product catalog |
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.
Get store context — Read the store://profile MCP resource to understand what this store sells, its configuration, payment methods, and shipping setup.
Get the readiness score — Call woocommerce-claude-get-readiness-score to get the overall score (0-100) and breakdown by factor:
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.
Get recommendations — Call woocommerce-claude-get-recommendations for the prioritised list of improvements.
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.
Produce a structured report:
Store: [name] | Score: [X]/100 ([grade]) | Date: [today]
2-3 sentences on the store's overall AI readiness. Be direct — is this store ready for AI commerce, or does it need work?
| 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] |
Show 2-3 specific products that illustrate the issues, with before/after suggestions.
Be specific and actionable. Reference actual product names and categories. Avoid generic advice — every recommendation should be something the merchant can act on immediately.
Use when the merchant asks how to merchandise the catalogue, which products or categories deserve attention, which products are slow movers, how current stock or sale pricing affects product placement, or which product pages need practical improvements. Produces a merchant-friendly WooCommerce catalogue merchandising review using existing analytics and product tools, with aggregated data only, no customer PII, no forecasts, and no suggestions to build new tools.
Use when the merchant asks which channels, sources, media, campaigns, or devices are driving revenue, customers, or on-hold pipeline. Produces a merchant-friendly WooCommerce channel performance review using existing attribution analytics, with aggregated data only, no customer PII, no ROAS or ad-spend claims, and no suggestions to build new tools.
Use when the merchant asks whether coupons are working, which coupon codes are performing, whether discounting is eating margin, what a promotion cost, which coupons drive new customers, or which codes need attention. Produces a merchant-friendly WooCommerce coupon performance triage using existing analytics tools, with aggregated data only, no customer PII, and no suggestions to build new tools.