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.

Moderating text and images consistently requires careful SDK setup and policy handling. This skill provides Java patterns for Azure AI Content Safety analysis and blocklist management.

Time-series monitoring requires reliable patterns for detecting unusual behavior. This skill provides Java examples for Azure AI client setup, analysis, training, inference, and model management.

Persistent agent workflows require coordinated clients, threads, messages, runs, and cleanup. This skill provides Java patterns for configuring and managing those Azure resources.

Persistent agent workflows require coordinated threads, messages, runs, tools, and cleanup. This skill provides focused .NET patterns for implementing those workflows with Azure AI Agents.

Azure Container Apps deployments often require coordinated infrastructure, builds, identities, and configuration. This skill provides focused azd and Bicep patterns for repeatable deployments.

AWS work requires clear architecture and deployment choices. This skill guides cloud development, infrastructure automation, and AWS pattern selection.

AWS serverless systems require careful choices across compute, APIs, storage, messaging, deployment, and performance. This skill provides practical patterns for designing and reviewing production-focused architectures.

AWS misconfigurations can expose identities, data, and networks without clear prioritization. This skill guides read-only checks and organizes findings by security domain and remediation urgency.