Real-time voice applications require coordinated authentication, audio streaming, event handling, and session configuration. This skill provides practical .NET guidance for Azure AI Voice Live workflows.

Manual image inspection limits scale. This skill guides Azure AI Vision workflows for captions, OCR, objects, people, and smart crops.

Java image analysis requires careful SDK setup and feature selection. This skill provides practical patterns for Azure AI Vision clients, requests, and results.

Azure Translation projects need correct TypeScript client patterns for text and documents. This skill provides examples for authentication, translation, detection, transliteration, batching, and status checks.

Applications need reliable multilingual text processing. This skill guides Python implementations with Azure AI Translator for translation, detection, transliteration, and dictionary operations.

Batch document translation requires correct Azure Blob Storage URLs, credentials, formats, and job tracking. This skill provides Python SDK patterns for jobs, single documents, status checks, glossaries, and async clients.

Speech transcription projects require correct Azure client setup and workflow choices. This skill provides Python examples for batch and real-time transcription, authentication, diarization, and language selection.

Building reliable NLP workflows requires correct SDK setup and operation selection. This skill provides practical Python patterns for Azure AI Language text analysis.

Azure AI Foundry project workflows can require many SDK operations and resource types. This skill provides focused TypeScript guidance for agents, tools, datasets, indexes, and deployments.

Microsoft Foundry applications require coordinated setup for clients, agents, tools, threads, data, and evaluations. This skill provides focused Python patterns using the Azure AI Projects SDK.

Managing Azure AI Foundry resources from Java requires accurate SDK patterns. This skill provides focused examples for authentication, clients, indexes, connections, evaluations, and error handling.

.NET developers need reliable patterns for Azure AI Foundry project operations. This skill provides focused SDK guidance for agents, datasets, indexes, deployments, evaluations, connections, and authentication.

Building Azure OpenAI features in .NET requires correct clients, authentication, and service-specific SDK patterns. This skill provides focused C# guidance for chat, embeddings, media, RAG, tools, and production practices.

Managing Azure Machine Learning resources requires precise SDK v2 patterns across authentication, assets, compute, jobs, and pipelines. This skill provides practical Python examples for common Azure ML workflows.

Java developers need reliable patterns for extracting structured data from documents. This skill provides Azure SDK examples for analysis, custom models, classification, and administration.

Document extraction workflows require precise Azure REST SDK patterns and asynchronous operation handling. This skill provides practical TypeScript guidance for analysis, classification, and custom models.

Document extraction in .NET requires correct Azure models, authentication, and result handling. This skill provides focused C# workflows for analysis, classification, and custom model management.

Documents and media are difficult to convert into consistent, searchable data. This skill guides Python workflows using Azure AI Content Understanding analyzers and structured results.

Unsafe user content can expose applications to policy and trust risks. This skill guides TypeScript integrations for Azure text, image, and blocklist moderation.

Applications need consistent controls for harmful text and images. This skill guides Python developers through Azure Content Safety analysis, severity handling, and blocklists.