OPS ► ECOM — Shopify Store Command Center skill

OPS ► ECOM — Shopify Store Command Center

Load ops-rules before acting. Public repo (no personal data). Outbound: one draft → one approval → one send. If AskUserQuestion / Workflow are missing, follow Rule 10 in ops-rules (Hermes: numbered options / two-turn Telegram card; delegate_task).

Runtime Context

Before executing, load available context:

1. Preferences: Read ${CLAUDE_PLUGIN_DATA_DIR:-$HOME/.claude/plugins/data/ops-ops-marketplace}/preferences.json

   • timezone — display all timestamps correctly
   • shopify_store_url, shopify_admin_token — check userConfig keys before env vars
   • ecom.shopify.sales_channels — optional last probe cache (publications + agentic/Shop gaps)
   • ecom.shopify.agentic_storefronts — optional operator-declared enablement map (channel → status)

2. Daemon health: Read ${CLAUDE_PLUGIN_DATA_DIR}/daemon-health.json

   • If action_needed is not null → surface it before running any store operations

3. Secrets: Resolve Shopify credentials via userConfig → env vars → Doppler (see Phase 1 below)

Agent Teams support

If CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS=1 is set, use Agent Teams when probing store data in parallel. This enables:

• Agents share context and can coordinate mid-flight
• You can steer priorities in real-time
• Agents report progress as they complete

Team setup (only when flag is enabled):

TeamCreate("ecom-team")
Agent(team_name="ecom-team", name="orders-scanner", prompt="Fetch recent orders, compute revenue for today/7d/30d")
Agent(team_name="ecom-team", name="inventory-scanner", prompt="Fetch all products, flag low stock and out-of-stock items")
Agent(team_name="ecom-team", name="fulfillment-scanner", prompt="Fetch unfulfilled orders and ShipBob shipment status")
Agent(team_name="ecom-team", name="analytics-scanner", prompt="Compute revenue analytics, AOV, and top products for 30d")

If the flag is NOT set, use standard fire-and-forget subagents.

Phase 1 — Resolve credentials

Resolve Shopify credentials in this order:

# 1. Plugin userConfig
SHOPIFY_STORE="${user_config.shopify_store_url}"
SHOPIFY_TOKEN="${user_config.shopify_admin_token}"
SHIPBOB_TOKEN="${user_config.shipbob_access_token}"

# 2. Environment variables (override userConfig if set)
[ -n "$SHOPIFY_STORE_URL" ] && SHOPIFY_STORE="$SHOPIFY_STORE_URL"
[ -n "$SHOPIFY_ACCESS_TOKEN" ] && SHOPIFY_TOKEN="$SHOPIFY_ACCESS_TOKEN"
[ -n "$SHIPBOB_ACCESS_TOKEN" ] && SHIPBOB_TOKEN="$SHIPBOB_ACCESS_TOKEN"

# 3. Doppler fallback
if [ -z "$SHOPIFY_TOKEN" ] && command -v doppler &>/dev/null; then
  SHOPIFY_TOKEN=$(doppler secrets get SHOPIFY_ACCESS_TOKEN --plain 2>/dev/null)
fi
if [ -z "$SHOPIFY_STORE" ] && command -v doppler &>/dev/null; then
  SHOPIFY_STORE=$(doppler secrets get SHOPIFY_STORE_URL --plain 2>/dev/null)
fi
if [ -z "$SHIPBOB_TOKEN" ] && command -v doppler &>/dev/null; then
  SHIPBOB_TOKEN=$(doppler secrets get SHIPBOB_ACCESS_TOKEN --plain 2>/dev/null)
fi

If $SHOPIFY_STORE or $SHOPIFY_TOKEN is still empty after all resolution steps, route to setup flow below.

Set base URLs:

SHOPIFY_BASE="https://${SHOPIFY_STORE}/admin/api/2024-10"
SHOPIFY_GQL="https://${SHOPIFY_STORE}/admin/api/2024-10/graphql.json"
SHOPIFY_AUTH="X-Shopify-Access-Token: ${SHOPIFY_TOKEN}"

---

Phase 2 — Route by $ARGUMENTS

Input	Action
(empty)	Show store summary
orders, order	Orders dashboard
inventory, stock, inv	Inventory levels
fulfillment, fulfill, shipbob, shipping	Fulfillment status
health, check, status	Store health check
products, product, catalog	Products manager
customers, customer, crm	Customer stats
analytics, revenue, stats, metrics	Analytics dashboard
channels, publications, sales-channels	Sales channel inventory (publications + gaps)
agentic, agentic-storefronts, ai-channels	Agentic storefront health
shop, shop-channel, shop-campaigns	Shop channel + Shop Campaigns readiness
setup, configure, init, token	Setup flow

---

ORDERS

Fetch recent orders and compute revenue:

TODAY=$(date -u +"%Y-%m-%dT00:00:00Z")
WEEK_AGO=$(date -u -v-7d +"%Y-%m-%dT00:00:00Z" 2>/dev/null || date -u -d "7 days ago" +"%Y-%m-%dT00:00:00Z")
MONTH_AGO=$(date -u -v-30d +"%Y-%m-%dT00:00:00Z" 2>/dev/null || date -u -d "30 days ago" +"%Y-%m-%dT00:00:00Z")

# Recent orders (last 50)
curl -s -H "$SHOPIFY_AUTH" \
  "${SHOPIFY_BASE}/orders.json?status=any&limit=50&order=created_at+desc" | \
  jq '{
    total: .orders | length,
    today: [.orders[] | select(.created_at >= "'"$TODAY"'")],
    orders: [.orders[:10] | .[] | {
      id: .order_number,
      name: .name,
      status: .financial_status,
      fulfillment: .fulfillment_status,
      total: .total_price,
      currency: .currency,
      customer: (.customer.first_name + " " + .customer.last_name),
      created: .created_at
    }]
  }'

Render:

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
 OPS ► ECOM ► ORDERS — [store] — [timestamp]
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

REVENUE
  Today    [N orders]   $[amount]
  7 days   [N orders]   $[amount]
  30 days  [N orders]   $[amount]

RECENT ORDERS
  #[id]  [customer]  $[total]  [status] / [fulfillment]  [age]
  ...

──────────────────────────────────────────────────────
 Actions:
 a) View order details for #[id]
 b) Mark order as fulfilled
 c) Export orders CSV
 d) Filter by status (unfulfilled/refunded/paid)
──────────────────────────────────────────────────────

Use AskUserQuestion for action selection.

---

INVENTORY

Fetch all products and variant inventory:

# Get all products with variants
curl -s -H "$SHOPIFY_AUTH" \
  "${SHOPIFY_BASE}/products.json?limit=250&fields=id,title,status,variants" | \
  jq '[.products[] | {
    id: .id,
    title: .title,
    status: .status,
    variants: [.variants[] | {
      id: .id,
      title: .title,
      sku: .sku,
      inventory_quantity: .inventory_quantity,
      inventory_policy: .inventory_policy
    }]
  }]'

Flag low stock (inventory_quantity < 10) and out-of-stock (inventory_quantity <= 0).

Render:

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
 OPS ► ECOM ► INVENTORY — [store] — [timestamp]
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

OUT OF STOCK
  [product] — [variant] — SKU: [sku]

LOW STOCK (< 10 units)
  [product] — [variant] — [N] units — SKU: [sku]

ALL PRODUCTS
  [product]
    [variant]  [N] units  SKU: [sku]
  ...

──────────────────────────────────────────────────────
 Actions:
 a) Update inventory for [product]
 b) Export inventory CSV
 c) Set reorder alerts
──────────────────────────────────────────────────────

Use AskUserQuestion for action selection.

---

FULFILLMENT

Fetch unfulfilled orders and ShipBob status (if token available):

# Unfulfilled orders
curl -s -H "$SHOPIFY_AUTH" \
  "${SHOPIFY_BASE}/orders.json?fulfillment_status=unfulfilled&status=open&limit=50" | \
  jq '[.orders[] | {
    id: .order_number,
    name: .name,
    customer: (.customer.first_name + " " + .customer.last_name),
    total: .total_price,
    created: .created_at,
    items: [.line_items[] | {title: .title, qty: .quantity}]
  }]'

# Shipments with tracking (fulfilled)
curl -s -H "$SHOPIFY_AUTH" \
  "${SHOPIFY_BASE}/orders.json?fulfillment_status=fulfilled&status=any&limit=20&order=updated_at+desc" | \
  jq '[.orders[] | .fulfillments[] | {
    order: .order_id,
    tracking_number: .tracking_number,
    tracking_url: .tracking_url,
    shipment_status: .shipment_status,
    carrier: .tracking_company,
    updated: .updated_at
  }]'

If $SHIPBOB_TOKEN is set, also query ShipBob:

# ShipBob pending shipments
curl -s -H "Authorization: Bearer ${SHIPBOB_TOKEN}" \
  "https://api.shipbob.com/1.0/shipment?Status=Processing&PageSize=20" | \
  jq '[.[] | {
    id: .id,
    status: .status,
    order_id: .reference_id,
    tracking: .tracking_number,
    created: .created_date
  }]'

Render fulfillment dashboard with pending/in-transit/delivered counts.

Use AskUserQuestion for action selection (mark fulfilled, update tracking, etc.).

---

HEALTH

Run the health check script, then augment with API checks:

${CLAUDE_PLUGIN_ROOT}/bin/ops-ecom-health 2>/dev/null || echo '{"error":"health script unavailable"}'

Also check:

# Active theme
curl -s -H "$SHOPIFY_AUTH" \
  "${SHOPIFY_BASE}/themes.json" | \
  jq '[.themes[] | select(.role == "main") | {id: .id, name: .name, updated: .updated_at}]'

# Store info
curl -s -H "$SHOPIFY_AUTH" \
  "${SHOPIFY_BASE}/shop.json" | \
  jq '.shop | {name: .name, domain: .domain, country: .country_name, plan: .plan_display_name, currency: .currency, timezone: .timezone}'

Render:

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
 OPS ► ECOM ► HEALTH — [store] — [timestamp]
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

STORE
  Name:      [name]
  Plan:      [plan]
  Currency:  [currency]
  Timezone:  [tz]

API CONNECTIVITY  [OK / FAIL]
ACTIVE THEME      [theme name]
PRODUCT COUNT     [N] active
ORDERS (24h)      [N] orders

ISSUES
  [any warnings from health check]

──────────────────────────────────────────────────────
 Actions:
 a) Check theme assets for errors
 b) Run full SEO audit
 c) View API rate limit status
──────────────────────────────────────────────────────

Use AskUserQuestion for action selection.

---

PRODUCTS

List, search, and manage products:

# All products
curl -s -H "$SHOPIFY_AUTH" \
  "${SHOPIFY_BASE}/products.json?limit=250&order=updated_at+desc" | \
  jq '[.products[] | {
    id: .id,
    title: .title,
    status: .status,
    handle: .handle,
    price: (.variants[0].price // "N/A"),
    inventory: ([.variants[].inventory_quantity] | add // 0),
    variants: (.variants | length),
    updated: .updated_at
  }]'

If $ARGUMENTS contains a search term (e.g., products shoes), filter by title.

For price updates, use:

# Update variant price
curl -s -X PUT -H "$SHOPIFY_AUTH" -H "Content-Type: application/json" \
  "${SHOPIFY_BASE}/variants/${VARIANT_ID}.json" \
  -d '{"variant":{"id":'${VARIANT_ID}',"price":"'${NEW_PRICE}'"}}'

Use AskUserQuestion before making any product updates. Show before/after prices.

---

CUSTOMERS

Fetch customer stats:

# Customer count and recent
curl -s -H "$SHOPIFY_AUTH" \
  "${SHOPIFY_BASE}/customers.json?limit=50&order=created_at+desc" | \
  jq '{
    total_shown: (.customers | length),
    recent: [.customers[:10] | .[] | {
      id: .id,
      name: (.first_name + " " + .last_name),
      email: .email,
      orders: .orders_count,
      total_spent: .total_spent,
      currency: .currency,
      created: .created_at
    }]
  }'

# Top customers by spend
curl -s -H "$SHOPIFY_AUTH" \
  "${SHOPIFY_BASE}/customers.json?limit=10&order=total_spent+desc" | \
  jq '[.customers[] | {name: (.first_name + " " + .last_name), orders: .orders_count, spent: .total_spent}]'

Render customer overview with LTV stats and top spenders.

---

ANALYTICS

Pull revenue and order data for dashboard:

TODAY=$(date -u +"%Y-%m-%dT00:00:00Z")
WEEK_AGO=$(date -u -v-7d +"%Y-%m-%dT00:00:00Z" 2>/dev/null || date -u -d "7 days ago" +"%Y-%m-%dT00:00:00Z")
MONTH_AGO=$(date -u -v-30d +"%Y-%m-%dT00:00:00Z" 2>/dev/null || date -u -d "30 days ago" +"%Y-%m-%dT00:00:00Z")

# Orders for revenue calculation
curl -s -H "$SHOPIFY_AUTH" \
  "${SHOPIFY_BASE}/orders.json?status=any&financial_status=paid&created_at_min=${MONTH_AGO}&limit=250" | \
  jq '{
    month_orders: (.orders | length),
    month_revenue: ([.orders[].total_price | tonumber] | add // 0),
    week_orders: ([.orders[] | select(.created_at >= "'"$WEEK_AGO"'")] | length),
    week_revenue: ([.orders[] | select(.created_at >= "'"$WEEK_AGO"'") | .total_price | tonumber] | add // 0),
    today_orders: ([.orders[] | select(.created_at >= "'"$TODAY"'")] | length),
    today_revenue: ([.orders[] | select(.created_at >= "'"$TODAY"'") | .total_price | tonumber] | add // 0),
    avg_order_value: ([.orders[].total_price | tonumber] | (add // 0) / (length // 1)),
    top_products: ([.orders[].line_items[] | {title: .title, qty: .quantity}] | group_by(.title) | map({title: .[0].title, total_qty: map(.qty) | add}) | sort_by(-.total_qty)[:5])
  }'

Render:

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
 OPS ► ECOM ► ANALYTICS — [store] — [timestamp]
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

REVENUE
  Today    $[amount]  ([N] orders)
  7 days   $[amount]  ([N] orders)
  30 days  $[amount]  ([N] orders)

AVERAGES
  AOV (30d)  $[amount]

TOP PRODUCTS (30d)
  1. [product]  [N] sold
  2. [product]  [N] sold
  ...

──────────────────────────────────────────────────────
 Actions:
 a) Export revenue report (CSV)
 b) View by product breakdown
 c) Compare to previous period
──────────────────────────────────────────────────────

Use AskUserQuestion for action selection.

---

---

CHANNELS

List publications / sales channels from Shopify Admin GraphQL. Prefer live API; fall back to ecom.shopify.sales_channels cache if API fails.

# GraphQL publications (use store's configured API version when set; default 2024-10+)
curl -s -X POST -H "$SHOPIFY_AUTH" -H "Content-Type: application/json" \
  "$SHOPIFY_GQL" \
  -d '{"query":"{ publications(first: 50) { nodes { id name autoPublish app { title handle } } } channels(first: 50) { nodes { name handle app { title handle } } } }"}' | \
  jq '{
    publications: [.data.publications.nodes[]? | {id, name, autoPublish, app: .app.title}],
    channels: [.data.channels.nodes[]? | {name, handle, app: .app.title}]
  }'

Also merge operator prefs when present:

jq -r '.ecom.shopify.sales_channels // empty' "$PREFS_PATH" 2>/dev/null

Render:

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
 OPS ► ECOM ► CHANNELS — [store] — [timestamp]
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

PUBLICATIONS / CHANNELS (live)
  [name]  handle=[…]  app=[…]  autoPublish=[true|false]
  ...

KNOWN GAPS (prefs / docs — not always in API list)
  Agentic Storefronts app     [present|missing|unknown]
  ChatGPT / OpenAI channel    [present|missing|unknown]
  Google AI Mode / Gemini     [present|missing|unknown]
  Shop channel                [present|missing|unknown]
  Microsoft Copilot           [present|missing|unknown]

──────────────────────────────────────────────────────
 Actions:
 a) Re-probe GraphQL publications
 b) Open agentic health  (/ops:ecom agentic)
 c) Open Shop readiness  (/ops:ecom shop)
──────────────────────────────────────────────────────

Guardrails: publication names vary by locale; match case-insensitively. Do not invent channels. Unknown → unknown. Write-back of probe cache only with operator OK.

---

AGENTIC

Agentic storefront health: which AI commerce surfaces are enabled and whether products are published to them.

# Reuse CHANNELS probe; optional prefs:
jq -r '.ecom.shopify.agentic_storefronts // empty' "$PREFS_PATH" 2>/dev/null
jq -r '.marketing.projects // {} | to_entries[]? | select(.value.agentic_storefronts != null) | {project: .key, agentic: .value.agentic_storefronts}' "$PREFS_PATH" 2>/dev/null

Render:

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
 OPS ► ECOM ► AGENTIC — [store] — [timestamp]
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

AI / AGENTIC SURFACES
  Microsoft Copilot     [on|off|unknown]  channel=[name|—]
  ChatGPT / OpenAI      [on|off|unknown]
  Google AI Mode        [on|off|unknown]
  (other detected)      ...

PRODUCT COVERAGE
  Sampled: [N] products  published_to_agentic: [M]  unknown: [K]

DOCS
  https://help.shopify.com/en/manual/online-sales-channels/agentic-storefronts

──────────────────────────────────────────────────────
 Actions:
 a) Re-probe publications
 b) List channels  (/ops:ecom channels)
 c) Shop readiness (/ops:ecom shop)
──────────────────────────────────────────────────────

Guardrails: Read-only. Never install apps or publish products without explicit operator confirmation (Rule 5). If API cannot list agentic apps, say so — do not claim disabled.

---

SHOP

Shop sales channel + Shop Campaigns readiness (pay-per-sale on Shop and expanded surfaces).

# Detect Shop from publications/channels (name/handle contains shop; avoid false positives)
jq -r '
  .ecom.shopify.shop // empty,
  (.marketing.projects // {} | to_entries[]? | select(.value.shop_campaigns != null) | {project: .key, shop_campaigns: .value.shop_campaigns})
' "$PREFS_PATH" 2>/dev/null

Render:

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
 OPS ► ECOM ► SHOP — [store] — [timestamp]
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

SHOP CHANNEL
  Publication:  [present|missing|unknown]
  Products:     [sample published count or unknown]

SHOP CAMPAIGNS (prefs + admin)
  Configured in prefs:  [yes|no]
  Status:               [not_configured|stage_only|active|unknown]
  Budget approval:      [required|granted|n/a]

DOCS
  https://help.shopify.com/en/manual/online-sales-channels/shop/shop-campaigns
  https://www.shopify.com/shop-campaigns

──────────────────────────────────────────────────────
 NEVER LEAK MONEY: never create or raise Shop Campaigns
 budgets without explicit owner approval (Rule 5).
──────────────────────────────────────────────────────

SETUP FLOW

Before asking the user for anything, auto-discover store URLs and tokens. Run ALL of these scans in a single batch:

# 1. Env vars
printenv SHOPIFY_ACCESS_TOKEN SHOPIFY_ADMIN_TOKEN SHOPIFY_STORE_URL SHOPIFY_ADMIN_API_ACCESS_TOKEN 2>/dev/null

# 2. Shell profiles
grep -h 'SHOPIFY\|myshopify' ~/.zshrc ~/.bashrc ~/.zprofile ~/.envrc 2>/dev/null | grep -v '^#'

# 3. Doppler — ALL projects, not just default
for proj in $(doppler projects --json 2>/dev/null | jq -r '.[].slug'); do
  doppler secrets --project "$proj" --config prd --json 2>/dev/null | \
    jq -r --arg proj "$proj" 'to_entries[] | select(.key | test("SHOPIFY|STORE"; "i")) | "\(.key)=\(.value.computed) (doppler:\($proj)/prd)"'
done

# 4. Dashlane — URLs reveal store identity
dcli password shopify --output json 2>/dev/null | jq -r '.[].url // empty' | grep -oE '[a-z0-9-]+\.myshopify\.com' | sort -u

# 5. Keychain
security find-generic-password -s "shopify-admin-token" -w 2>/dev/null
security find-generic-password -s "shopify-access-token" -w 2>/dev/null

# 6. Chrome history — reveals store URLs from admin sessions
sqlite3 ~/Library/Application\ Support/Google/Chrome/Default/History \
  "SELECT DISTINCT url FROM urls WHERE url LIKE '%myshopify.com/admin%' OR url LIKE '%admin.shopify.com/store/%' ORDER BY last_visit_time DESC LIMIT 10" 2>/dev/null | \
  grep -oE '[a-z0-9-]+\.myshopify\.com|admin\.shopify\.com/store/[a-z0-9-]+' | sort -u

# 7. Project .env files
grep -rhE 'myshopify\.com|SHOPIFY_STORE|SHOPIFY.*TOKEN' ~/Projects/*/.env* 2>/dev/null | grep -v '^#' | head -5

# 8. Existing prefs + userConfig
jq -r '.ecom.shopify // empty' "$PREFS_PATH" 2>/dev/null

Token acquisition — automate before asking. If store URL found but no token:

1. Doppler deep scan — check ALL projects/configs (dev, staging, prd)
2. Shopify CLI — if command -v shopify succeeds: shopify auth login --store <store>.myshopify.com (opens browser OAuth), then generate token
3. Browser automation — if Kapture/Playwright available, navigate to admin.shopify.com/store/<slug>/settings/apps/development and automate app creation with scopes: read_orders,write_orders,read_products,write_products,read_customers,read_inventory,write_inventory,read_fulfillments,write_fulfillments,read_analytics
4. Manual fallback — only if all automated approaches fail:

No automated path for <store>.myshopify.com.
  1. Go to https://admin.shopify.com/store/<slug>/settings/apps/development
  2. Create an app → Configure → grant scopes → Install → copy token
  Token starts with "shpat_"

Multi-store: If multiple stores discovered, process each independently. Present all found stores with their token status before asking for input.

Store credentials via: userConfig (preferred) → Doppler → env vars. ShipBob optional — check SHIPBOB_ACCESS_TOKEN in same scan.

Verify connectivity after acquisition:

curl -s -H "X-Shopify-Access-Token: ${PROVIDED_TOKEN}" \
  "https://${PROVIDED_STORE}/admin/api/2024-10/shop.json" | \
  jq '.shop | {name, domain, plan: .plan_display_name}'

If the connectivity check returns valid shop data, confirm success. If it fails with 401/403, explain the token is invalid and re-prompt.

---

STORE SUMMARY (empty $ARGUMENTS)

When called with no arguments, show a compact store overview:

Competitor activity (gather before rendering)

# Resolve PLUGIN_ROOT: directory containing the ops-ops-marketplace plugin scripts
_COMP_PLUGIN_ROOT="${CLAUDE_PLUGIN_ROOT:-$(dirname "$(dirname "$(realpath "${BASH_SOURCE[0]}" 2>/dev/null || echo "$0")")")}"
_COMP_LIB="$_COMP_PLUGIN_ROOT/scripts/lib/competitor/context.sh"
_COMP_ECOM_SIGNALS="[]"
if [[ -f "$_COMP_LIB" ]]; then
  # shellcheck source=/dev/null
  . "$_COMP_LIB"
  _COMP_ECOM_SIGNALS=$(competitor_vertical_slice ecom --window-days 7 2>/dev/null || echo "[]")
fi

Parse _COMP_ECOM_SIGNALS JSON array. If it is non-empty, append the COMPETITOR ACTIVITY section after FULFILLMENT in the store summary render. If it is [], skip the section entirely.

Render using this shape (mobile mode: plain text, no banners; desktop: with ━━━ rules):

━━━ COMPETITOR ACTIVITY (last 7d) ━━━
APP RELEASES
  • [competitor] — v[version] released this week (rating: [X.X], [N]k reviews)
PRODUCT / PRICING CHANGES
  • [competitor] — pricing page changed ([low/med/high] severity)
  • [competitor] — features page changed ([brief description from snippet])

Mapping rules (apply per event in the JSON array):

• source == "appstore" → APP RELEASES entry. Extract version, rating, and review count from snippet if present.
• source == "page-diff" and kind matches features → PRODUCT / PRICING CHANGES entry, labelled as features change.
• source == "page-diff" and kind == "pricing" → PRODUCT / PRICING CHANGES entry, labelled as pricing change with severity from severity field.

Run orders, inventory, and health checks in parallel (separate Bash calls), then render:

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
 OPS ► ECOM — [store] — [timestamp]
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

STORE         [name] ([plan])
CURRENCY      [currency]

TODAY         $[revenue]  [N] orders
7 DAYS        $[revenue]  [N] orders
30 DAYS       $[revenue]  [N] orders

INVENTORY     [N] products  |  [N] low stock  |  [N] out of stock
FULFILLMENT   [N] unfulfilled orders pending

[COMPETITOR ACTIVITY section here if non-empty — see above]

──────────────────────────────────────────────────────
 /ops:ops-ecom orders     — order management
 /ops:ops-ecom inventory  — stock levels
 /ops:ops-ecom products   — product catalog
 /ops:ops-ecom customers  — customer stats
 /ops:ops-ecom analytics  — revenue dashboard
 /ops:ops-ecom health     — store health check
 /ops:ops-ecom channels   — sales channel inventory
 /ops:ops-ecom agentic    — agentic storefront health
 /ops:ops-ecom shop       — Shop channel + Shop Campaigns readiness
 /ops:ops-ecom setup      — configure credentials
──────────────────────────────────────────────────────

Windsor.ai (optional live data)

If Windsor.ai is connected (mcp__*Windsor*__* or a windsor_api_key), use it as the live cross-channel source for the GA4 acquisition funnel (sessions → checkout → purchase) and ad-driven traffic layered over store orders. Map accounts per project via registry.json → .projects[].windsor. Prefer blended ROAS (store/analytics revenue ÷ total ad spend) over platform-reported ROAS. See docs/integrations/windsor-ai.md for the full playbook (REST + MCP modes, registry mapping, analysis mandate, and caveats). Data sanity: if Windsor returns only zeros across sources (Meta + Google spend/impressions and Instagram reach all exactly 0 over 30d while accounts are connected), treat the data as unavailable — the plan may be expired (check get_current_user → is_paid) — warn the user, and never present zeros as real metrics. scripts/windsor-data-sanity.sh automates the check.

Windsor is optional. If Windsor is not connected, returns errors, or returns the all-zero pattern, fall back to the free direct libraries: scripts/lib/ad-spend-aggregator.sh (paid), scripts/lib/ga4-data-api.sh (analytics), and scripts/lib/organic-metrics-aggregator.sh (organic + merchant). See docs/integrations/direct-channel-wiring.md. Never present zeros from a dead source as real metrics.

Additional resources

CLI detail: references/cli.md.