shopify-admin-graphql
Execute Shopify Admin API calls via GraphQL in Shopify Remix apps. Use when querying or mutating Shopify data (customers, orders, products, shop, segments, subscriptions), when writing GraphQL for the Admin API, or when handling throttling and retries.
What this skill does
# Shopify Admin GraphQL
Use this skill when adding or changing code that talks to the Shopify Admin API via GraphQL.
## When to Use
- Querying Shopify data (shop, customers, orders, products, inventory)
- Mutating Shopify data (creating/updating customers, orders, products)
- Implementing pagination for large datasets
- Handling API throttling and rate limits
- Working with metafields or other Shopify resources
## Getting the GraphQL Client
### In Remix Loaders/Actions (Recommended)
Use `authenticate.admin()` from `@shopify/shopify-app-remix`:
```typescript
import { authenticate } from "../shopify.server";
export const loader = async ({ request }: LoaderFunctionArgs) => {
const { admin } = await authenticate.admin(request);
const response = await admin.graphql(`
query GetShopDetails {
shop {
id
name
myshopifyDomain
plan {
displayName
}
}
}
`);
const { data } = await response.json();
return json({ shop: data.shop });
};
```
### With Variables
```typescript
export const action = async ({ request }: ActionFunctionArgs) => {
const { admin } = await authenticate.admin(request);
const formData = await request.formData();
const email = formData.get("email") as string;
// Validate email format to prevent query manipulation
const emailRegex = /^[^\s@]+@[^\s@]+\.[^\s@]+$/;
if (!email || !emailRegex.test(email)) {
return json({ error: "Invalid email format" }, { status: 400 });
}
// Escape quotes and wrap in quotes to treat as literal value
const sanitizedEmail = email.replace(/"/g, '\\"');
const response = await admin.graphql(`
query FindCustomerByEmail($query: String!) {
customers(first: 1, query: $query) {
edges {
node {
id
email
phone
firstName
lastName
}
}
}
}
`, {
variables: { query: `email:"${sanitizedEmail}"` }
});
const { data } = await response.json();
return json({ customer: data.customers.edges[0]?.node });
};
```
### Background Jobs / Webhooks (Offline Access)
When you don't have a request context, use offline session tokens:
```typescript
import { unauthenticated } from "../shopify.server";
export async function processWebhook(shop: string) {
const { admin } = await unauthenticated.admin(shop);
const response = await admin.graphql(`
query GetShop {
shop {
name
}
}
`);
const { data } = await response.json();
return data.shop;
}
```
## Common Query Patterns
### Shop Details
```graphql
query GetShopDetails {
shop {
id
name
email
myshopifyDomain
primaryDomain {
url
}
plan {
displayName
}
currencyCode
timezoneAbbreviation
}
}
```
### Products with Pagination
```graphql
query GetProducts($first: Int!, $after: String) {
products(first: $first, after: $after) {
pageInfo {
hasNextPage
endCursor
}
edges {
node {
id
title
handle
status
variants(first: 10) {
edges {
node {
id
title
price
sku
}
}
}
}
}
}
}
```
### Customer Lookup
```graphql
query FindCustomer($query: String!) {
customers(first: 1, query: $query) {
edges {
node {
id
email
phone
firstName
lastName
ordersCount
totalSpent
}
}
}
}
```
### Order by ID
```graphql
query GetOrder($id: ID!) {
order(id: $id) {
id
name
email
phone
totalPriceSet {
shopMoney {
amount
currencyCode
}
}
lineItems(first: 50) {
edges {
node {
title
quantity
variant {
id
sku
}
}
}
}
shippingAddress {
address1
city
country
}
}
}
```
## Handling Throttling
Shopify uses a leaky bucket algorithm for rate limiting. For bulk operations or background jobs, implement retry logic:
```typescript
interface RetryOptions {
maxRetries?: number;
initialDelay?: number;
maxDelay?: number;
}
async function executeWithRetry<T>(
admin: AdminApiContext,
query: string,
variables?: Record<string, unknown>,
options: RetryOptions = {}
): Promise<T> {
const { maxRetries = 3, initialDelay = 1000, maxDelay = 10000 } = options;
for (let attempt = 0; attempt <= maxRetries; attempt++) {
try {
const response = await admin.graphql(query, { variables });
const result = await response.json();
if (result.errors?.some((e: any) => e.extensions?.code === "THROTTLED")) {
throw new Error("THROTTLED");
}
return result.data as T;
} catch (error) {
if (attempt === maxRetries) throw error;
const delay = Math.min(initialDelay * Math.pow(2, attempt), maxDelay);
await new Promise(resolve => setTimeout(resolve, delay));
}
}
throw new Error("Max retries exceeded");
}
```
## Error Handling
```typescript
const response = await admin.graphql(query, { variables });
const { data, errors } = await response.json();
if (errors) {
// Handle GraphQL errors
console.error("GraphQL errors:", errors);
// Check for specific error types
const throttled = errors.some((e: any) =>
e.extensions?.code === "THROTTLED"
);
const notFound = errors.some((e: any) =>
e.message?.includes("not found")
);
if (throttled) {
// Retry with backoff
}
}
```
## Best Practices
1. **Use operation names** for debugging: `query GetShopDetails { ... }`
2. **Request only needed fields** to reduce response size and improve performance
3. **Use pagination** for lists - never request unbounded data
4. **Handle errors gracefully** - check for both `errors` array and HTTP errors
5. **Implement retries with exponential backoff** for background jobs
6. **Use fragments** for repeated field selections across queries
7. **Prefer GraphQL over REST** for complex queries with relationships
## References
- [Shopify Admin GraphQL API](https://shopify.dev/docs/api/admin-graphql)
- [GraphQL Basics](https://shopify.dev/docs/api/usage/graphql-basics)
- [Rate Limits](https://shopify.dev/docs/api/usage/rate-limits)
- [@shopify/shopify-app-remix](https://shopify.dev/docs/api/shopify-app-remix)
Related in Backend & APIs
jfrog
IncludedInteract with the JFrog Platform via the JFrog CLI and REST/GraphQL APIs. Use this skill when the user wants to manage Artifactory repositories, upload or download artifacts, manage builds, configure permissions, manage users and groups, work with access tokens, configure JFrog CLI servers, search artifacts, manage properties, set up replication, manage JFrog Projects, run security audits or scans, look up CVE details, query exposures scan results from JFrog Advanced Security, manage release bundles and lifecycle operations, aggregate or export platform data, or perform any JFrog Platform administration task. Also use when the user mentions jf, jfrog, artifactory, xray, distribution, evidence, apptrust, onemodel, graphql, workers, mission control, curation, advanced security, exposures, or any JFrog product name.
cupynumeric-migration-readiness
IncludedPre-migration readiness assessor for porting NumPy to cuPyNumeric. Use BEFORE substantial porting work begins when the user asks whether code will scale on GPU, whether they should migrate to cuPyNumeric, which NumPy patterns transfer cleanly, what must be refactored before porting, or mentions pre-port assessment, scaling analysis, or refactor planning. Inspect the user's source code, look up NumPy usage, cross-reference the cuPyNumeric API support manifest, and distinguish distributed-scaling-friendly patterns from blockers such as unsupported APIs, scalar synchronization, host round-trips, Python/object-heavy control flow, shape/data-dependent branching, and in-place mutation hazards. Produce a verdict of READY, LIGHT REFACTOR, SIGNIFICANT REFACTOR, or NOT RECOMMENDED, with concrete refactor pointers.
alibabacloud-data-agent-skill
IncludedInvoke Alibaba Cloud Apsara Data Agent for Analytics via CLI to perform natural language-driven data analysis on enterprise databases. Data Agent for Analytics is an intelligent data analysis agent developed by Alibaba Cloud Database team for enterprise users. It automatically completes requirement analysis, data understanding, analysis insights, and report generation based on natural language descriptions. This tool supports: discovering data resources (instances/databases/tables) managed in DMS, initiating query or deep analysis sessions, real-time progress tracking, and retrieving analysis conclusions and generated reports. Use this Skill when users need to query databases, analyze data trends, generate data reports, ask questions in natural language, or mention "Data Agent", "data analysis", "database query", "SQL analysis", "data insights".
token-optimizer
IncludedReduce OpenClaw token usage and API costs through smart model routing, heartbeat optimization, budget tracking, and native 2026.2.15 features (session pruning, bootstrap size limits, cache TTL alignment). Use when token costs are high, API rate limits are being hit, or hosting multiple agents at scale. The 4 executable scripts (context_optimizer, model_router, heartbeat_optimizer, token_tracker) are local-only — no network requests, no subprocess calls, no system modifications. Reference files (PROVIDERS.md, config-patches.json) document optional multi-provider strategies that require external API keys and network access if you choose to use them. See SECURITY.md for full breakdown.
resend-cli
IncludedUse this skill when the task is specifically about operating Resend from an AI agent, terminal session, or CI job via the official resend CLI: installing/authenticating the CLI, sending/listing/updating/cancelling emails, batch sends, domains and DNS, webhooks and local listeners, inbound receiving, contacts, topics, segments, broadcasts, templates, API keys, profiles, or debugging Resend CLI/API failures. Trigger on mentions of Resend CLI, `resend`, `resend doctor`, `resend emails send`, `resend domains`, `resend webhooks listen`, `resend emails receiving`, or agent-friendly terminal automation.
alibabacloud-odps-maxframe-coding
IncludedUse this skill for MaxFrame SDK development and documentation navigation on Alibaba Cloud MaxCompute (ODPS). Helps answer MaxFrame API, concept, official example, and supported pandas API questions; create data processing programs; read/write MaxCompute tables; debug jobs (remote or local); and build custom DPE runtime images. Trigger when users mention MaxFrame, MaxCompute with MaxFrame, ODPS table processing, DPE runtime, MaxFrame docs/examples, DataFrame/Tensor operations, or GPU runtime setup. Works for both English and Chinese queries about Alibaba Cloud data processing with MaxFrame.