通过1Password CLI,将保存的密码和API密钥用于命令及配置模板,完成安装、认证、秘密值读取,并通过环境变量向命令传递凭据。
- 安装并配置1Password CLI
- 使用已保存的API密钥运行命令
- 向配置模板填入秘密值
Read and update Shopify store data through GraphQL, an API format for requesting specific fields, using curl. The skill covers products, orders, customers, inventory adjustments, custom fields, and bulk data exports, with checks for API errors.
中文简介正在准备中。当前显示英语简介。
Query Shopify Admin/Storefront GraphQL APIs via curl.
安装前可以查看交给 AI 代理的指令内容。
Work with Shopify stores directly through curl: list products, manage inventory, pull orders, update customers, read metafields. No SDK, no app framework — just the GraphQL endpoint and a custom-app access token.
The REST Admin API is legacy since 2024-04 and only receives security fixes. Use GraphQL Admin for all admin work. Use Storefront GraphQL for read-only customer-facing queries (products, collections, cart).
shpat_.${HERMES_HOME:-~/.hermes}/.env:
SHOPIFY_ACCESS_TOKEN=shpat_xxxxxxxxxxxxxxxxxxxx
SHOPIFY_STORE_DOMAIN=my-store.myshopify.com
SHOPIFY_API_VERSION=2026-01
Heads up: As of January 1, 2026, new "legacy custom apps" created in the Shopify admin are gone. New setups should use the Dev Dashboard (
shopify.dev/docs/apps/build/dev-dashboard). Existing admin-created apps keep working. If the user's shop has no existing custom app and it's after 2026-01-01, direct them to Dev Dashboard instead of the admin flow.
Common scopes by task:
read_products, write_productsread_inventory, write_inventory, read_locationsread_orders, write_orders (30 most recent without read_all_orders)read_customers, write_customersread_draft_orders, write_draft_ordersread_fulfillments, write_fulfillmentshttps://$SHOPIFY_STORE_DOMAIN/admin/api/$SHOPIFY_API_VERSION/graphql.jsonX-Shopify-Access-Token: $SHOPIFY_ACCESS_TOKEN (NOT Authorization: Bearer)POST, always Content-Type: application/json, body is {"query": "...", "variables": {...}}errors array and per-field userErrors. Always check both.gid://shopify/Product/10079467700516, gid://shopify/Variant/..., gid://shopify/Order/.... Pass these verbatim — don't strip the prefix.extensions.cost with requestedQueryCost, actualQueryCost, throttleStatus.{currentlyAvailable, maximumAvailable, restoreRate}. Back off when currentlyAvailable drops below your next query's cost. Standard shops = 100 points bucket, 50/s restore; Plus = 1000/100.Base curl pattern (reusable):
shop_gql() {
local query="$1"
local variables="${2:-{}}"
curl -sS -X POST \
"https://${SHOPIFY_STORE_DOMAIN}/admin/api/${SHOPIFY_API_VERSION:-2026-01}/graphql.json" \
-H "Content-Type: application/json" \
-H "X-Shopify-Access-Token: ${SHOPIFY_ACCESS_TOKEN}" \
--data "$(jq -nc --arg q "$query" --argjson v "$variables" '{query: $q, variables: $v}')"
}
Pipe through jq for readable output. -sS keeps errors visible but hides the progress bar.
shop_gql '{ shop { name myshopifyDomain primaryDomain { url } currencyCode plan { displayName } } }' | jq
shop_gql '{ publicApiVersions { handle supported } }' | jq '.data.publicApiVersions[] | select(.supported)'
shop_gql '
query($q: String!) {
products(first: 20, query: $q) {
edges { node { id title handle status totalInventory variants(first: 5) { edges { node { id sku price inventoryQuantity } } } } }
pageInfo { hasNextPage endCursor }
}
}' '{"q":"hoodie status:active"}' | jq
Query syntax supports title:, sku:, vendor:, product_type:, status:active, tag:, created_at:>2025-01-01. Full grammar: https://shopify.dev/docs/api/usage/search-syntax
shop_gql '
query($cursor: String) {
products(first: 100, after: $cursor) {
edges { cursor node { id handle } }
pageInfo { hasNextPage endCursor }
}
}' '{"cursor":null}'
# subsequent calls: pass the previous endCursor
shop_gql '
query($id: ID!) {
product(id: $id) {
id title handle descriptionHtml tags status
variants(first: 20) { edges { node { id sku price compareAtPrice inventoryQuantity selectedOptions { name value } } } }
metafields(first: 20) { edges { node { namespace key type value } } }
}
}' '{"id":"gid://shopify/Product/10079467700516"}' | jq
shop_gql '
mutation($input: ProductCreateInput!) {
productCreate(product: $input) {
product { id handle }
userErrors { field message }
}
}' '{"input":{"title":"Test Hoodie","status":"DRAFT","vendor":"Hermes","productType":"Apparel","tags":["test"]}}'
Variants now have their own mutations in recent versions:
# Add variants after creating the product
shop_gql '
mutation($productId: ID!, $variants: [ProductVariantsBulkInput!]!) {
productVariantsBulkCreate(productId: $productId, variants: $variants) {
productVariants { id sku price }
userErrors { field message }
}
}' '{"productId":"gid://shopify/Product/...","variants":[{"optionValues":[{"optionName":"Size","name":"M"}],"price":"49.00","inventoryItem":{"sku":"HD-M","tracked":true}}]}'
shop_gql '
mutation($productId: ID!, $variants: [ProductVariantsBulkInput!]!) {
productVariantsBulkUpdate(productId: $productId, variants: $variants) {
productVariants { id sku price }
userErrors { field message }
}
}' '{"productId":"gid://shopify/Product/...","variants":[{"id":"gid://shopify/ProductVariant/...","price":"55.00"}]}'
read_all_orders)shop_gql '
{
orders(first: 20, reverse: true, query: "financial_status:paid") {
edges { node {
id name createdAt displayFinancialStatus displayFulfillmentStatus
totalPriceSet { shopMoney { amount currencyCode } }
customer { id displayName email }
lineItems(first: 10) { edges { node { title quantity sku } } }
} }
}
}' | jq
Useful order query filters: financial_status:paid|pending|refunded, fulfillment_status:unfulfilled|fulfilled, created_at:>2025-01-01, tag:gift, email:foo@example.com.
shop_gql '
query($id: ID!) {
order(id: $id) {
id name email
shippingAddress { name address1 address2 city province country zip phone }
lineItems(first: 50) { edges { node { title quantity variant { sku } originalUnitPriceSet { shopMoney { amount currencyCode } } } } }
transactions { id kind status amountSet { shopMoney { amount currencyCode } } }
}
}' '{"id":"gid://shopify/Order/...."}' | jq
# Search
shop_gql '
{
customers(first: 10, query: "email:*@example.com") {
edges { node { id email displayName numberOfOrders amountSpent { amount currencyCode } } }
}
}'
# Create
shop_gql '
mutation($input: CustomerInput!) {
customerCreate(input: $input) {
customer { id email }
userErrors { field message }
}
}' '{"input":{"email":"test@example.com","firstName":"Test","lastName":"User","tags":["api-created"]}}'
Inventory lives on inventory items tied to variants, quantities tracked per location.
# Get inventory for a variant across all locations
shop_gql '
query($id: ID!) {
productVariant(id: $id) {
id sku
inventoryItem {
id tracked
inventoryLevels(first: 10) {
edges { node { location { id name } quantities(names: ["available","on_hand","committed"]) { name quantity } } }
}
}
}
}' '{"id":"gid://shopify/ProductVariant/..."}'
Adjust stock (delta) — uses inventoryAdjustQuantities:
shop_gql '
mutation($input: InventoryAdjustQuantitiesInput!) {
inventoryAdjustQuantities(input: $input) {
inventoryAdjustmentGroup { reason changes { name delta } }
userErrors { field message }
}
}' '{
"input": {
"reason": "correction",
"name": "available",
"changes": [{"delta": 5, "inventoryItemId": "gid://shopify/InventoryItem/...", "locationId": "gid://shopify/Location/..."}]
}
}'
Set absolute stock (not delta) — inventorySetQuantities:
shop_gql '
mutation($input: InventorySetQuantitiesInput!) {
inventorySetQuantities(input: $input) {
inventoryAdjustmentGroup { id }
userErrors { field message }
}
}' '{"input":{"reason":"correction","name":"available","ignoreCompareQuantity":true,"quantities":[{"inventoryItemId":"gid://shopify/InventoryItem/...","locationId":"gid://shopify/Location/...","quantity":100}]}}'
Metafields attach custom data to resources (products, customers, orders, shop).
# Read
shop_gql '
query($id: ID!) {
product(id: $id) {
metafields(first: 10, namespace: "custom") {
edges { node { key type value } }
}
}
}' '{"id":"gid://shopify/Product/..."}'
# Write (works for any owner type)
shop_gql '
mutation($metafields: [MetafieldsSetInput!]!) {
metafieldsSet(metafields: $metafields) {
metafields { id key namespace }
userErrors { field message code }
}
}' '{"metafields":[{"ownerId":"gid://shopify/Product/...","namespace":"custom","key":"care_instructions","type":"multi_line_text_field","value":"Wash cold. Tumble dry low."}]}'
Different endpoint, different token, used for customer-facing apps/hydrogen-style headless setups. Headers differ:
https://$SHOPIFY_STORE_DOMAIN/api/$SHOPIFY_API_VERSION/graphql.jsonX-Shopify-Storefront-Access-Token: <public token> — embeddable in browserShopify-Storefront-Private-Token: <private token> — server-onlycurl -sS -X POST \
"https://${SHOPIFY_STORE_DOMAIN}/api/${SHOPIFY_API_VERSION:-2026-01}/graphql.json" \
-H "Content-Type: application/json" \
-H "X-Shopify-Storefront-Access-Token: ${SHOPIFY_STOREFRONT_TOKEN}" \
-d '{"query":"{ shop { name } products(first: 5) { edges { node { id title handle } } } }"}' | jq
For dumps larger than rate limits allow (full product catalog, all orders for a year):
# 1. Start bulk query
shop_gql '
mutation {
bulkOperationRunQuery(query: """
{ products { edges { node { id title handle variants { edges { node { sku price } } } } } } }
""") {
bulkOperation { id status }
userErrors { field message }
}
}'
# 2. Poll status
shop_gql '{ currentBulkOperation { id status errorCode objectCount fileSize url partialDataUrl } }'
# 3. When status=COMPLETED, download the JSONL file
curl -sS "$URL" > products.jsonl
Each JSONL line is a node, and nested connections are emitted as separate lines with __parentId. Reassemble client-side if needed.
Subscribe to events so you don't have to poll:
shop_gql '
mutation($topic: WebhookSubscriptionTopic!, $sub: WebhookSubscriptionInput!) {
webhookSubscriptionCreate(topic: $topic, webhookSubscription: $sub) {
webhookSubscription { id topic endpoint { __typename ... on WebhookHttpEndpoint { callbackUrl } } }
userErrors { field message }
}
}' '{"topic":"ORDERS_CREATE","sub":{"callbackUrl":"https://example.com/webhook","format":"JSON"}}'
Verify incoming webhook HMAC using the app's client secret (not the access token):
echo -n "$REQUEST_BODY" | openssl dgst -sha256 -hmac "$APP_SECRET" -binary | base64
# Compare to X-Shopify-Hmac-Sha256 header
/admin/api/.../products.json. Use GraphQL.shpat_. Storefront public tokens with shpua_. If you have one and the wrong header, every request returns 401 without a useful error body.{"errors":[{"message":"Access denied for ..."}]}. Re-configure Admin API scopes on the app, then reinstall to regenerate the token.userErrors is empty != success. Also check data.<mutation>.<resource> is non-null. Some failures populate neither — inspect the whole response.gid://shopify/Product/<numeric>.products(first: 250) with deep nesting can cost 1000+ points and throttle immediately on a standard-plan shop. Start narrow, read extensions.cost, adjust.products(first: N, reverse: true) sorts by id DESC, not created_at. Use sortKey: CREATED_AT, reverse: true for "newest first."read_all_orders for historical data. Without it, orders(...) silently caps at the 60-day window. You won't get an error, just fewer results than expected. For Shopify Plus merchants with many orders, request this scope via the app's protected-data settings."49.00" not 49.0. Don't jq tonumber blindly if you care about zero-padding.shopMoney (store's currency) AND presentmentMoney (customer's). Pick one consistently.Mutations in Shopify are real — they create products, charge refunds, cancel orders, ship fulfillments. Before running productDelete, orderCancel, refundCreate, or any bulk mutation: state clearly what the change is, on which shop, and confirm with the user. There is no staging clone of production data unless the user has a separate dev store.
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通过1Password CLI,将保存的密码和API密钥用于命令及配置模板,完成安装、认证、秘密值读取,并通过环境变量向命令传递凭据。
创建用公式联动利润表、资产负债表和现金流量表的 Excel 模型,分阶段填入历史实际数据与预测假设,比较不同情景,并检查三张报表之间的一致性。
Adapt existing PyTorch training scripts to use multiple GPUs or machines with limited code changes. The skill guides configuration, launch commands, mixed precision, which uses lower-precision numbers, and DeepSpeed or FSDP settings for distributing training work and memory.
中文简介正在准备中。当前显示英语简介。
Configure Hermes to run AI models through Actual Computer on your own hardware. Set up either the hosted relay or a local connection, select models, verify responses, and troubleshoot request errors or empty output.
中文简介正在准备中。当前显示英语简介。
扮演不擅长技术、容易不满的用户测试应用,发现难懂的操作和导致放弃使用的障碍。将实际可改进的问题与个人抱怨分开,整理截图、修复建议和任务单。
从中立立场解决两个智能体分别修改代码产生的Git冲突,对照双方差异和意图,记录每处冲突的取舍理由,并通过构建或测试验证合并结果。