Automate ActiveCampaign tasks via Rube MCP (Composio): manage contacts, tags, list subscriptions, automation enrollment, and tasks. Always search tools first for current schemas.
日本語の概要は準備中です。原文の説明を表示しています。
Shopify store command center. Orders, inventory, fulfillment, analytics, and store health. Works with any Shopify store via Admin API.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Before executing, load available context:
Preferences: Read ${CLAUDE_PLUGIN_DATA_DIR:-$HOME/.claude/plugins/data/ops-ops-marketplace}/preferences.json
timezone — display all timestamps correctlyshopify_store_url, shopify_admin_token — check userConfig keys before env varsDaemon health: Read ${CLAUDE_PLUGIN_DATA_DIR}/daemon-health.json
action_needed is not null → surface it before running any store operationsSecrets: Resolve Shopify credentials via userConfig → env vars → Doppler (see Phase 1 below)
| Endpoint | Method | Description |
|---|---|---|
/admin/api/2024-10/shop.json | GET | Store info and plan |
/admin/api/2024-10/orders.json?status=any&limit=50 | GET | Recent orders |
/admin/api/2024-10/products.json?limit=250 | GET | Product catalog |
/admin/api/2024-10/customers.json?limit=50 | GET | Customer list |
/admin/api/2024-10/themes.json | GET | Theme list |
/admin/api/2024-10/variants/${ID}.json | PUT | Update variant price |
Auth header: X-Shopify-Access-Token: ${SHOPIFY_TOKEN}
| Endpoint | Method | Description |
|---|---|---|
https://api.shipbob.com/1.0/shipment?Status=Processing&PageSize=20 | GET | Pending shipments |
Auth header: Authorization: Bearer ${SHIPBOB_TOKEN}
If CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS=1 is set, use Agent Teams when probing store data in parallel. This enables:
Team setup (only when flag is enabled):
TeamCreate("ecom-team")
Agent(team_name="ecom-team", name="orders-scanner", prompt="Fetch recent orders, compute revenue for today/7d/30d")
Agent(team_name="ecom-team", name="inventory-scanner", prompt="Fetch all products, flag low stock and out-of-stock items")
Agent(team_name="ecom-team", name="fulfillment-scanner", prompt="Fetch unfulfilled orders and ShipBob shipment status")
Agent(team_name="ecom-team", name="analytics-scanner", prompt="Compute revenue analytics, AOV, and top products for 30d")
If the flag is NOT set, use standard fire-and-forget subagents.
Resolve Shopify credentials in this order:
# 1. Plugin userConfig
SHOPIFY_STORE="${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: ${SHOPIFY_TOKEN}"
| Input | Action |
|---|---|
| (empty) | Show store summary |
| orders, order | Orders dashboard |
| inventory, stock, inv | Inventory levels |
| fulfillment, fulfill, shipbob, shipping | Fulfillment status |
| health, check, status | Store health check |
| products, product, catalog | Products manager |
| customers, customer, crm | Customer stats |
| analytics, revenue, stats, metrics | Analytics dashboard |
| setup, configure, init, token | Setup flow |
Fetch recent orders and compute revenue:
TODAY=$(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] $[total] [status] / [fulfillment] [age]
...
──────────────────────────────────────────────────────
Actions:
a) View order details for #[id]
b) Mark order as fulfilled
c) Export orders CSV
d) Filter by status (unfulfilled/refunded/paid)
──────────────────────────────────────────────────────
Use AskUserQuestion for action selection.
Fetch all products and variant inventory:
# Get all products with variants
curl -s -H "$SHOPIFY_AUTH" \
"${SHOPIFY_BASE}/products.json?limit=250&fields=id,title,status,variants" | \
jq '[.products[] | {
id: .id,
title: .title,
status: .status,
variants: [.variants[] | {
id: .id,
title: .title,
sku: .sku,
inventory_quantity: .inventory_quantity,
inventory_policy: .inventory_policy
}]
}]'
Flag low stock (inventory_quantity < 10) and out-of-stock (inventory_quantity <= 0).
Render:
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
OPS ► ECOM ► INVENTORY — [store] — [timestamp]
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
OUT OF STOCK
[product] — [variant] — SKU: [sku]
LOW STOCK (< 10 units)
[product] — [variant] — [N] units — SKU: [sku]
ALL PRODUCTS
[product]
[variant] [N] units SKU: [sku]
...
──────────────────────────────────────────────────────
Actions:
a) Update inventory for [product]
b) Export inventory CSV
c) Set reorder alerts
──────────────────────────────────────────────────────
Use AskUserQuestion for action selection.
Fetch unfulfilled orders and ShipBob status (if token available):
# Unfulfilled orders
curl -s -H "$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.).
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" \
"${SHOPIFY_BASE}/shop.json" | \
jq '.shop | {name: .name, domain: .domain, country: .country_name, plan: .plan_display_name, currency: .currency, timezone: .timezone}'
Render:
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
OPS ► ECOM ► HEALTH — [store] — [timestamp]
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
STORE
Name: [name]
Plan: [plan]
Currency: [currency]
Timezone: [tz]
API CONNECTIVITY [OK / FAIL]
ACTIVE THEME [theme name]
PRODUCT COUNT [N] active
ORDERS (24h) [N] orders
ISSUES
[any warnings from health check]
──────────────────────────────────────────────────────
Actions:
a) Check theme assets for errors
b) Run full SEO audit
c) View API rate limit status
──────────────────────────────────────────────────────
Use AskUserQuestion for action selection.
List, search, and manage products:
# All products
curl -s -H "$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.
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.
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.
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:
command -v shopify succeeds: shopify auth login --store <store>.myshopify.com (opens browser OAuth), then generate tokenadmin.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_analyticsNo 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.
When called with no arguments, show a compact store overview:
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
──────────────────────────────────────────────────────
/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 setup — configure credentials
──────────────────────────────────────────────────────
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Automate ActiveCampaign tasks via Rube MCP (Composio): manage contacts, tags, list subscriptions, automation enrollment, and tasks. Always search tools first for current schemas.
日本語の概要は準備中です。原文の説明を表示しています。
Analytics your AI agent can actually use. Track, analyze, run A/B experiments, and optimize across all your projects via CLI. Includes a growth playbook so your agent knows HOW to grow, not just what to track.
日本語の概要は準備中です。原文の説明を表示しています。
Teaches when to recall from long-term memory before acting and when to save durable decisions, corrections and failures afterwards. Use when a memory tool or MCP memory server is connected but the agent is not using it consistently, when the user complains that the assistant forgets preferences, conventions or past decisions between sessions, or when setting up persistent memory for a project. Works with any memory backend: a folder of Markdown files, a local MCP server, or a managed service.
日本語の概要は準備中です。原文の説明を表示しています。
Audit local AI coding-agent sessions with agenttrace for cost, tokens, tool failures, latency, anomalies, health, diffs, and CI gates.
日本語の概要は準備中です。原文の説明を表示しています。
Audit whether a website can be found, crawled, and cited by AI answer engines such as ChatGPT Search, Perplexity, Google AI Overviews, and Microsoft Copilot. Use when someone asks why their brand is missing from AI answers, whether AI crawlers can read their site, how to get cited by ChatGPT or Perplexity, or asks for a GEO or AEO (generative / answer engine optimization) review. Produces a citation baseline across buyer-intent prompts, a crawler-access check, a citability review of named pages, and a ranked fix list. Not for keyword rank tracking, paid search, or pages behind a login.
日本語の概要は準備中です。原文の説明を表示しています。
Automate Airtable tasks via Rube MCP (Composio): records, bases, tables, fields, views. Always search tools first for current schemas.
日本語の概要は準備中です。原文の説明を表示しています。