Azure Cosmos DB integrations require careful client, partition, query, and throughput choices. This skill provides focused Java SDK patterns for synchronous and reactive workflows.

Azure Cosmos DB services need secure authentication, clear data boundaries, and testable storage logic. This skill provides Python patterns for clients, models, services, and tests.

Large-scale Java workloads require careful Azure Batch setup and lifecycle management. This skill provides focused SDK examples for clients, pools, jobs, tasks, nodes, schedules, and monitoring.

Java developers can misconfigure ACS credentials, token refresh, and identifiers. This skill provides focused patterns for secure Azure Communication Services integration.

Deprecated CallingServer projects need clear migration guidance. This skill maps key dependencies, clients, and recording concepts to Azure Call Automation.

Server-side calling requires coordinated Azure client, media, event, and recording APIs. This skill provides focused Java patterns for designing those workflows.

Java teams need consistent patterns for centralized settings and controlled releases. This skill provides focused Azure SDK guidance for configuration, feature flags, and snapshots.

Real-time voice applications require complex session, audio, event, and authentication setup. This skill provides focused TypeScript guidance for Azure AI Voice Live integrations.

Real-time voice applications require careful coordination of authentication, audio streaming, events, and turn handling. This skill provides focused Python patterns for Azure AI Voice Live workflows.

Java teams need clear guidance for real-time voice conversations with Azure AI. This skill supplies VoiceLive setup, authentication, session, audio, event, and voice configuration examples.

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.

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.

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.