Skill UI

Design and manage AWS Virtual Private Cloud (VPC) networking infrastructure for production environments. This skill covers subnet isolation, routing tables, security groups, and network segmentation. It includes configuring Internet Gateways, NAT Gateways, and VPC peering for multi-AZ architectures. Use AWS CLI to create VPCs, subnets, and gateways securely. Essential for DevOps engineers setting up secure cloud network foundations.

AWT provides AI coding tools with visual perception and interaction capabilities for web applications. It executes declarative YAML test scenarios using Playwright, featuring visual matching via OpenCV and OCR without relying on stable DOM selectors. Supports platform auto-detection for frameworks like React and Vue, includes structured failure diagnosis, and maintains a learning database for failure patterns. Ideal for end-to-end testing workflows requiring visual assertions and AI-assisted debugging.

A comprehensive solution for deploying multi-service, containerized applications (frontend + backend) to Azure Container Apps. This utility uses the Azure Developer CLI (azd) to manage the entire lifecycle, ensuring idempotent infrastructure provisioning, remote builds, managed identity integration, and robust environment configuration across development, staging, and production environments.

Low-level .NET SDK for creating and managing persistent AI agents with threads, messages, runs, and tools. Supports function calling, file search, vector stores, and streaming responses.

Low-level Java SDK for creating and managing persistent Azure AI agents with threads, messages, runs, and tools. Covers installation, authentication, core workflow, best practices, and error handling.

Build Java applications with Azure AI Anomaly Detector SDK for univariate and multivariate time-series anomaly detection, streaming detection, change point detection, model training, and batch inference.

Python SDK for Azure AI Content Understanding service. Enables multimodal content extraction from documents, images, audio, and video files. Supports prebuilt analyzers for RAG and custom field extraction for automated workflows. Ideal for developers building AI-driven applications.

Build document analysis applications using the Azure AI Document Intelligence SDK for Java, covering client creation, prebuilt models, layout extraction, receipt analysis, and custom model training.

High-level .NET SDK for Azure AI Foundry projects. Manage agents, connections, datasets, deployments, evaluations, and indexes in C# applications.

Azure AI Projects SDK for Java provides high-level APIs for managing Azure AI Foundry projects, including connections, datasets, indexes, and evaluations. It simplifies integration with Azure AI services through a fluent Java client builder.

Build AI applications on Microsoft Foundry using the azure-ai-projects SDK. Covers installation, authentication, client operations, agent creation with tools, versioned agents, thread and message flow, connections, deployments, datasets, indexes, evaluations, and async usage.

High-level TypeScript SDK for Azure AI Foundry projects, enabling management of agents, connections, deployments, datasets, indexes, and evaluations with integrated OpenAI client support.