Skill UI

This API provides key-value store abstractions, enabling developers to manage persistent or temporary data within their web services. It offers two distinct scopes: a global (non-tenant-scoped) store and a tenant-scoped store. This is essential for applications requiring structured data management, such as application settings, caching mechanisms, or session data, while maintaining clear data isolation.

This API module provides comprehensive tools and abstractions for managing scheduled actions within the webiny ecosystem. It covers the entire lifecycle of asynchronous tasks, including scheduling actions for future execution, retrieving details, listing existing tasks, executing them immediately, and canceling them. Key components include dedicated Use Cases and a core SchedulerService, enabling robust background processing and reliable task management for enterprise applications.

This module provides comprehensive API abstractions and use cases for managing multi-tenant systems. It covers the entire tenant lifecycle, including creation, installation, enabling, disabling, retrieval by ID, and model extension. Developers can use these structured patterns to ensure robust, scalable, and maintainable multi-tenancy implementation within their services.

Provides a standardized and robust skeleton for developing full-stack extensions that integrate both a backend API service and a frontend Admin UI. This pattern enforces clear separation of concerns, utilizing shared domain layers for data consistency while ensuring that API and Admin code are correctly registered using specific entry points. Ideal for complex applications requiring unified management interfaces and robust backend logic.

A robust application framework for Go, built on the uber-go/dig container. It provides advanced features essential for long-running services, including structured dependency injection, explicit lifecycle hooks (OnStart/OnStop), modular composition, and signal-aware graceful shutdown handling. Ideal for building robust daemons, HTTP servers, and background workers.

This assistant guides users through managing Azure resources entirely via the command line using the Azure CLI (`az`). It identifies the correct commands, prompts for missing required parameters (like resource groups or locations), constructs the full command sequence, executes the action, and diagnoses any output errors to ensure successful deployment and configuration of services across Compute, Networking, and other Azure domains.