Skill UI

A comprehensive guide to production-ready patterns for the Shopify API SDK. Covers advanced topics like typed GraphQL clients, multi-tenant architecture, cursor-based pagination, bulk operations, and robust error handling. Use this when developing scalable and maintainable e-commerce integrations for Shopify.

This guide provides comprehensive steps for upgrading Shopify API versions (quarterly releases) and migrating your application from the legacy REST Admin API to the modern GraphQL Admin API. It details how to check supported versions, identify breaking changes (like ProductInput splits), and update configurations, ensuring your codebase remains current with Shopify's evolving API standards.

A comprehensive guide to registering, handling, and managing Shopify webhooks and events for e-commerce applications. Learn how to use GraphQL to subscribe to critical topics (orders, products, etc.), implement robust HMAC verification, and, crucially, configure mandatory GDPR compliance handlers required for successful Shopify App Store submission. Covers event handler patterns and API management.

This skill provides comprehensive API access to manage all aspects of a Webflow project. It covers site operations (publishing, listing), page metadata (SEO, Open Graph), handling form submissions, and full e-commerce functionality (products, SKUs, inventory, orders). Use this when automating site deployments, extracting form data, or managing product catalogs programmatically via the Data API v2.

This utility provides key abstractions for integrating with the webiny administration API using GraphQL. It serves as a centralized catalog, guiding developers on how to correctly import and utilize pre-defined GraphQL client structures. By enforcing standardized interfaces and types, it ensures type safety and consistent data interaction patterns across the application's administrative features, streamlining data fetching in complex admin contexts.

A collection of core helper classes and abstractions designed for building robust and type-safe GraphQL APIs. These utilities standardize common response patterns (e.g., success, list, error, not found, unauthorized) and provide tools to define custom GraphQL schemas. Utilizing these abstractions ensures consistency, improves developer experience, and simplifies comprehensive error management across your backend services.

This pattern provides a robust method for extending and customizing existing GraphQL APIs. Developers can implement `GraphQLSchemaFactory` to add custom root queries and mutations, injecting complex business logic and use cases directly into the API layer. It fully supports per-resolver dependency injection (DI), ensuring that every resolver has access to critical request-scoped context, such as identity and tenancy, making it ideal for building modular, enterprise-grade backend services.

This skill provides a robust mechanism for extending an existing API gateway by adding custom, non-GraphQL HTTP endpoints (GET, POST, PUT, etc.). Developers can implement the Route.Interface and register it using the <Api.Route> component. It supports full Dependency Injection (DI), providing framework-agnostic Request and Reply objects, making it ideal for integrating complex business logic directly into the API structure.

A comprehensive guide for building robust GraphQL APIs using Golang. Covers critical best practices including advanced schema design (nullability, pagination, mutations), optimizing resolvers, and preventing N+1 database queries using DataLoaders. Ideal for engineers building high-performance, production-grade backend services.

Utilize the OpenAlex API to conduct comprehensive academic research. This tool provides deep metadata, including open citation graphs, institutional affiliations, and detailed funding information, going beyond basic preprint searching. Ideal for academic researchers needing robust, open-access publication data.

This skill fetches and compares live pricing for various Azure services, such as Virtual Machines, Storage, and SQL Databases. It utilizes the Azure Retail Prices API to allow users to check costs in specific geographic regions or compare the same service across multiple regions, helping them find the most cost-effective deployment option.

A comprehensive playbook for API reconnaissance and documentation review. Use this skill early in the testing process to enumerate all reachable endpoints, extract schemas, identify hidden versions (e.g., v1, v2, mobile), and discover undocumented parameters or fields across REST, GraphQL, and mobile APIs. Essential for mapping the full attack surface before deeper exploitation.