Skill UI

This guide provides detailed instructions for migrating code from the legacy `google-search-results` package to the modern `serpapi` client library. It covers major API changes, including structural updates in Python and Node.js, transitioning from callback-based or class-based calls to modern, promise/async-await structures. Use this when upgrading dependencies or updating search logic.

This guide provides a minimal, working example of connecting to a Shopify store using the GraphQL Admin API. It demonstrates how to initialize the API client, authenticate the connection, and execute a query to retrieve product and variant details. Ideal for developers starting a new e-commerce integration, testing API connectivity, or learning basic Shopify data retrieval patterns.

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 details how to build modern, custom headless storefronts using Shopify's Storefront API and Cart API. It covers key functionalities like product querying, cart management (adding/updating lines), and initiating the checkout flow. Designed for developers building client-facing e-commerce experiences, it emphasizes the use of public access tokens for decoupled, highly customizable online stores.

This guide demonstrates how to set up a complete development environment entirely within a web browser using the WebContainer API. It covers mounting a virtual file system, installing Node.js dependencies via npm, and starting a local dev server (like Express) without needing a dedicated backend server. It is ideal for learning WebContainers, building browser-based IDEs, or prototyping Node.js applications client-side.

This guide details how to install and configure the WebContainer API, enabling client-side Node.js execution directly in the browser. It also provides instructions for integrating the StackBlitz SDK, which is used for embedding highly interactive code editors into web applications. The guide covers necessary dependency installations, code examples, and crucial HTTP header configuration (COOP/COEP) required for cross-origin isolation and secure operation.

A comprehensive guide and implementation demonstrating how to handle API rate limits when interacting with AI services like Together AI. It details the token bucket algorithm for client-side throttling and provides robust retry mechanisms (exponential backoff) to manage 429 (Rate Limit Exceeded) and 5xx server errors, ensuring stable, high-throughput batch processing.

A comprehensive guide to implementing production-ready patterns for interacting with the Together AI API. This includes a singleton client for seamless OpenAI-compatible integration, robust error wrappers with retry logic, and a fluent request builder. It covers best practices for LLM inference, model setup, and handling diverse response types (chat, embedding, fine-tuning).

A comprehensive guide to implementing production-ready patterns for the Webflow SDK. Covers essential architectural patterns such as singleton client management, robust typed error handling (including specific HTTP status codes like 401, 403, 429), efficient pagination helpers, rate limit monitoring via raw response access, and multi-tenant client factory setup. Essential for building scalable, enterprise-grade Webflow integrations.

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.

This module provides multiple standardized abstractions for interacting with the OpenSearch API. It includes dedicated abstractions for clients, factories, and operational contexts, allowing developers to implement robust, scalable, and type-safe interactions with OpenSearch within the webiny ecosystem. Use these patterns to ensure consistent data access regardless of the specific usage pattern.

This guide details how to integrate Auth0 as an external Identity Provider (IDP) for Webiny, replacing the default Cognito authentication. It involves creating an API config class to map Auth0's JWT claims to Webiny identities and implementing a React extension component. Users must set environment variables (AUTH0_ISSUER, AUTH0_CLIENT_ID) and register the necessary extensions for successful OIDC authentication flow.