Skill UI

This SDK allows developers to build persistent, sophisticated AI agents directly on Azure AI Foundry. It supports complex conversational workflows by integrating external functions (tools), enabling code execution, web search, and maintaining conversation history through dedicated thread management. Ideal for developing enterprise-grade, production-ready AI applications.

This guide details how to use the Azure AI Projects SDK to programmatically define and deploy sophisticated, container-based hosted agents. It covers essential steps including setting up prerequisites, managing container images, specifying resource limits (CPU/memory), and integrating various tools like code interpreters, enabling robust AI agent deployment in Azure AI Foundry.

Automatically produces API client code, configuration, and best-practice guidance for third-party integrations, SDK generation, webhooks, and OAuth flows whenever an API client generator request is detected.

Automatically produces API client code, configuration, and best-practice guidance for third-party integrations, SDK generation, webhooks, and OAuth flows whenever an API client generator request is detected.

Master modern API documentation using OpenAPI 3.1, AsyncAPI, and advanced AI tools. This skill facilitates the creation of world-class, interactive developer portals, robust SDK generation, and comprehensive API specifications. It ensures documentation is always accurate, actionable, and significantly improves the overall developer experience (DX), reducing time-to-integration.

Automates API health checking guidance by activating when you mention api health checker, offering best practices, integration patterns, code samples, and validation for third-party APIs, webhooks, and SDK workflows.

Automates guidance for caching API responses within integrations, offering best-practice patterns, webhook and SDK support, and production-ready validation when users ask about api response cacher.

This module provides production-ready TypeScript patterns for interacting with the Apollo.io REST API. It implements critical best practices including type-safe client setup (using Zod), custom error handling, exponential backoff retry logic, asynchronous pagination, and rate-aware bulk processing. Use this when building reliable, scalable, and robust integrations with Apollo data.

Auto-activating Async API Caller skill guides integrations using best practices, webhook patterns, SDK generation, and OAuth flows whenever requests mention async api caller or related triggers.

Auto-activating Async API Caller skill guides integrations using best practices, webhook patterns, SDK generation, and OAuth flows whenever requests mention async api caller or related triggers.

A comprehensive, low-level Software Development Kit (SDK) for building and managing stateful AI Agents within the Azure AI ecosystem using .NET. This SDK provides core clients for managing agent lifecycles, persistent conversation threads, message history, complex run execution, tool/function calling, and integrating file search through vector stores. It is essential for developing enterprise-grade, multi-turn conversational AI applications.

A comprehensive, low-level Software Development Kit (SDK) for building and managing stateful AI Agents within the Azure AI ecosystem using .NET. This SDK provides core clients for managing agent lifecycles, persistent conversation threads, message history, complex run execution, tool/function calling, and integrating file search through vector stores. It is essential for developing enterprise-grade, multi-turn conversational AI applications.