Skill UI

This SDK provides comprehensive connectivity to Azure AI Search for .NET developers. It enables building sophisticated search applications, supporting full-text search, vector search, semantic understanding, and hybrid query capabilities. Developers can manage indexes, perform document CRUD operations, and implement advanced search patterns like faceted search and autocomplete.

Automates Google Maps workflows via the Rube MCP (Composio) toolkit, letting you geocode addresses, search places, fetch directions, compute route matrices, and pull place details or autocomplete data while respecting live tool schemas.

This skill enables the configuration and optimization of Windsurf's Supercomplete AI-powered code suggestions. Supercomplete provides intelligent, context-aware suggestions that significantly enhance developer productivity, going far beyond traditional autocomplete. Use this skill when setting up, customizing, or optimizing your code completion environment within the Windsurf IDE.

Guides setting up Microsoft Fluent UI Blazor components, ensuring providers/services registrations, handling icon packages, binding lists and autocomplete, plus using dialog and toast services in Blazor apps.

This workflow demonstrates the core capabilities of the Glean Client API, allowing users to build comprehensive knowledge assistants. It covers advanced full-text search with filters and facets, implements AI-powered chat for contextual Q&A, and provides autocomplete suggestions. Ideal for integrating deep search and conversational AI into enterprise applications.

This guide details how to implement a highly customized CMS field type within the Webiny framework. It covers extending DataFieldBuilder, defining complex validation logic, creating a FieldType.Factory, and proper registration using Dependency Injection (DI). Furthermore, it demonstrates module augmentation for enhancing TypeScript autocomplete in the fields registry, ensuring a complete, robust development workflow and exposing a fluent builder API.

This skill provides expert patterns for implementing Algolia search, including indexing strategies, React InstantSearch integration, and relevance tuning. It covers search API usage, typeahead functionality, autocomplete, and faceted search implementation. Use this for adding robust search functionality to web applications and optimizing search results.

Build search applications with the Azure AI Search SDK for TypeScript, covering vector, hybrid, and semantic search, index management, filtering, facets, autocomplete, and batch operations.