shopify-admin-skills

Master skill collection for Shopify store operators. Provides access to all merchandising, marketing, support, and operations capabilities.

Edit the theme's robots.txt.liquid to explicitly allow AI crawlers (GPTBot, ClaudeBot, PerplexityBot, Google-Extended, OAI-SearchBot, Amazonbot) so AI assistants are permitted to read the catalog.

Rewrite thin product descriptions into structured, fact-rich copy (materials, fit, use-cases, the words shoppers actually type) so AI agents have something concrete to quote and match.

Generate and set descriptive alt text on product images so AI agents (which can't 'see' pixels) can understand and recommend what each product looks like.

Generate and publish an /llms.txt guide (brand summary, flagship products, key policies, contact) via a theme template so AI assistants get a curated, machine-readable map of the store.

Define and populate agentic-commerce metafields (material, attributes, key features, specs, sizing) so AI agents can filter and match products to specific shopper requirements.

Inject an Organization JSON-LD block (name, logo, sameAs social links, contactPoint) into the theme so AI agents can verify the store is a real, trusted brand and link it to its public identity.

Ensure shipping, returns, refund, privacy, and terms policies exist as clean machine-readable text so AI agents can answer shopper questions and close the sale without escalating.

Backfill the structured product/variant fields that power Product JSON-LD — barcode (GTIN), SKU, vendor, product type, weight — so AI agents can quote exact, in-stock items instead of guessing.

Assign every product a Shopify Standard Product Taxonomy category so AI agents can map a shopper's intent to the right category and surface the store's products.

Score how findable, readable, and recommendable the store's catalog is to AI shopping agents — then route each gap to the agentic skill that fixes it.

Read-only: identifies products with high single-purchase rates that could benefit from cross-sell pairing based on category and price affinity.

Read-only: calculates the true ROI of each discount code and automatic discount by comparing incremental revenue against discount cost.

Read-only: mines order history to find product pairs and triplets frequently purchased together, generating cross-sell and bundle recommendations.

Read-only: extracts gift messages, gift recipients, and gift flags from order custom attributes and notes for fulfillment teams to print on packing slips.

Read-only: identifies orders 7–14 days post-fulfillment that are eligible for a post-purchase survey campaign, excluding refunded or cancelled orders.

Identifies customers with disputed or charged-back orders and tags their customer record for proactive review on future orders.

Read-only: scores customers by churn probability based on purchase recency, frequency decay, and expected repurchase intervals.

Read-only: estimates customer acquisition cost (CAC) per traffic source by joining order count per landing site / referrer with configurable ad spend.

Read-only: scans the customer database for malformed emails, role accounts, disposable domains, and bounce-suspect patterns to protect sender reputation.

Read-only: scores every customer on Recency, Frequency, and Monetary value to segment them into actionable groups (Champions, Loyal, At-Risk, Lost).

Adds and/or removes tags across a filtered set of customers — supports query-based selection, explicit ID lists, and union/replace tag modes.

Merges duplicate customer records: invokes Shopify's native customer merge API where supported, otherwise consolidates the loser record's tags and notes into the winner via customerUpdate.

Read-only: exports a complete chronological history for a single customer — orders, refunds, returns, addresses, notes, tags, marketing consent, and lifetime spend — as one consolidated CSV.

Identify orders at risk of generating WISMO support tickets: shipped orders with stale tracking, and unfulfilled orders past their SLA window.

Read-only: tracks total discount dollars given over configurable time buckets (week/month/quarter), broken down by discount type and code.

Read-only: calculates total outstanding gift card balance as a financial liability, broken down by issue cohort and remaining balance band.

Read-only: reconciles Shopify Payments payouts against the order transactions that funded them and flags amount discrepancies.

Read-only: calculates true net profit per order and per product by factoring in COGS, shipping costs, transaction fees, discounts, refunds, and taxes.

Read-only: for stores with subscription products, calculates MRR, ARR, active subscriber count, and rolling churn rate from subscription contracts.

Read-only: for native bundle products and metafield-defined bundles, verifies every component variant has sufficient stock to fulfill the bundle's effective availability.

Read-only: compares delivery times and shipping costs across carriers used in fulfillments to inform carrier mix and contract decisions.

Read-only: walks every delivery profile and zone to verify each has at least one valid shipping rate, surfacing zones with no rates or only manual rates.

Bulk-creates a batch of unique discount codes for campaigns, giveaways, or partner distributions — each code is its own DiscountCodeBasic with single-use limit by default.

Read-only: parses each order's landing site and referrer URL to break down orders, revenue, and AOV by traffic source — direct, organic, paid, social, email, or referral domain.

Identifies top-spending customers (top N% by lifetime value or order frequency) and exports a VIP candidate list; optionally tags qualified customers as VIPs.

Read-only: identifies products and variants that are missing inventoryItem.unitCost so margin and inventory valuation reports stay accurate.

Removes stale compareAtPrice values where current price >= compareAtPrice (no real discount) or compareAtPrice has been set for over a configurable age threshold.

Read-only: forecasts demand per SKU using sales velocity and seasonality, then calculates reorder points and suggested purchase order quantities.

Read-only: categorizes inventory into aging buckets (0-30, 31-60, 61-90, 90+ days) based on time since last sale or receipt.