Skill UI

This SDK pattern provides comprehensive integration patterns for RemoFirst, a global HR, EOR, and payroll platform. It enables developers to manage global employment needs, process payroll cycles, and ensure compliance across multiple international jurisdictions by interacting with core API endpoints. Use this when building systems for international workforce management.

A comprehensive core workflow for managing the full e-commerce lifecycle within Shopify. It utilizes the GraphQL Admin API to query order data, process fulfillments (including tracking), create draft orders, and search/manage customer records efficiently. Ideal for building robust order management systems and complex e-commerce integrations.

This comprehensive guide provides production-ready patterns for the WebContainer API, essential for building sophisticated online IDEs and code playgrounds. It covers key functionalities such as singleton WebContainer management, robust file system CRUD operations, process lifecycle management, jsh terminal emulation, and embedding projects using the StackBlitz SDK. Ideal for developers creating collaborative development environments.

A comprehensive reference architecture for building scalable, cost-effective, and robust AI services. This system manages the full AI lifecycle, including intelligent model routing (for quality/cost trade-offs), response caching (using Redis), asynchronous batch processing, and fine-tuning pipeline management via Together AI's OpenAI-compatible API. Ideal for enterprise applications requiring high availability across multiple open-source models.

This guide demonstrates the fundamental CRUD (Create, Read, Update, Query) operations within Veeva Vault using Python. It leverages the Veeva REST API and incorporates VQL (Vault Query Language) for advanced metadata querying. This skill is essential for developers integrating document management systems in the life sciences sector.

This guide details how to perform authentication and data operations with the Veeva Vault platform using its REST API. It covers obtaining session IDs via username/password or OAuth 2.0, and executing complex queries using VQL (Veeva Query Language). Ideal for developers integrating document management systems in the life sciences sector.

A comprehensive guide for the Veeva Vault local development loop. It details how to interact with the platform using REST APIs, advanced VQL queries for data retrieval, and the VAPIL Java SDK. Ideal for developers implementing solutions involving document management, clinical operations, and CRM processes within the Veeva ecosystem.

This guide provides fundamental security and technical guidance for integrating with Veeva Vault. It covers REST API authentication (OAuth 2.0, session-based), executing VQL queries, and utilizing the VAPIL Java SDK. It is an essential resource for developers working with Veeva Vault for clinical operations, document management, and CRM systems.

This catalog provides a comprehensive set of abstractions, types, and utilities for building robust administrative interfaces within the Webiny Content Management System (CMS). It covers core functionalities such as content entry editing, bulk actions, GraphQL client interactions, and structured data modeling. Developers should import specific named abstractions to ensure correct interfaces and types when extending the CMS.

A comprehensive catalog of API abstractions designed for building headless Content Management Systems (CMS). It provides core functionality for content entries, models, and groups, encompassing event handlers, use cases, and advanced integrations with search engines like OpenSearch and GraphQL.

This catalog provides comprehensive abstractions and use cases for robust file and asset management. It covers the entire file lifecycle, including asset delivery, single and batch file creation, file deletion, and event handlers (e.g., post-creation, post-deletion hooks). Developers can use these components to build reliable, structured file management systems.

This comprehensive API provides a structured set of abstractions for managing the entire lifecycle of tenants within a multi-tenant application. It includes dedicated use cases (e.g., CreateTenantUseCase, DeleteTenantUseCase), repositories for data persistence, and extensive event handlers (Before/After hooks) to hook into critical moments like creation, update, and deletion. It is essential for building robust, scalable, and event-driven multi-tenant systems.