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Azure App Insights .NET SDK

azure-mgmt-applicationinsights-dotnet

sickn33/agentic-awesome-skills

Manage Azure Application Insights resources with the .NET Resource Manager SDK, including components, API keys, workbooks, and availability tests for application performance monitoring.

Azure Arize AI Observability SDK

azure-mgmt-arizeaiobservabilityeval-dotnet

sickn33/agentic-awesome-skills

Provides a .NET Azure Resource Manager SDK for creating, reading, updating, and deleting Arize AI Observability and Evaluation organizations on Azure, including Marketplace and SSO configuration.

Azure Bot Service Management SDK

azure-mgmt-botservice-dotnet

sickn33/agentic-awesome-skills

This .NET SDK enables management plane operations for Azure Bot Service resources. It allows developers to create, configure, and manage bots across channels like Teams, DirectLine, and Slack. The library supports provisioning bot resources, setting up connection settings, and handling channel configurations via Azure Resource Manager. It includes authentication methods and workflows for bot lifecycle management.

Azure Bot Service Python SDK

azure-mgmt-botservice-py

sickn33/agentic-awesome-skills

This Python SDK enables developers to manage Azure Bot Service resources programmatically. It supports creating, updating, and deleting bots, configuring channels like Microsoft Teams and Web Chat, and managing OAuth connections. Ideal for automating bot lifecycle management and integrating conversational AI into enterprise applications using Azure infrastructure.

Azure Fabric Resource Manager .NET

azure-mgmt-fabric-dotnet

sickn33/agentic-awesome-skills

Management-plane .NET SDK for provisioning Microsoft Fabric capacities through Azure Resource Manager. Covers auth, create, scale SKU, suspend/resume, list, delete and name availability checks.

Azure Fabric Management SDK

azure-mgmt-fabric-py

sickn33/agentic-awesome-skills

Python SDK for managing Microsoft Fabric capacities and resources on Azure, including create, update, suspend, resume, delete, and list capacities.

Azure MongoDB Atlas SDK

azure-mgmt-mongodbatlas-dotnet

sickn33/agentic-awesome-skills

Manage MongoDB Atlas Organizations as Azure ARM resources with unified billing through Azure Marketplace. Provides .NET SDK for provisioning, listing, and updating Atlas organizations via Azure Resource Manager.

Azure Weights & Biases SDK

azure-mgmt-weightsandbiases-dotnet

sickn33/agentic-awesome-skills

Deploy and manage Weights & Biases ML experiment tracking instances on Azure Marketplace using the .NET Resource Manager SDK, including SSO and observability configuration.

Azure Playwright Testing SDK

azure-microsoft-playwright-testing-ts

sickn33/agentic-awesome-skills

This SDK enables running Playwright tests at scale using cloud-hosted browsers integrated with Azure portal reporting. It supports TypeScript configuration, Microsoft Entra ID authentication, and CI/CD integration for GitHub Actions and Azure Pipelines. Ideal for enterprise testing workflows requiring managed browser infrastructure and centralized reporting.

Azure Monitor Audit Configuration

azure-monitor-audit

sickn33/agentic-awesome-skills

Configure Azure Monitor, Activity Logs, and Log Analytics for auditing and compliance. Set up diagnostic settings, log archiving, and centralized logging to meet security and regulatory requirements.

Azure Monitor Log Ingestion

azure-monitor-ingestion-java

sickn33/agentic-awesome-skills

This skill provides a Java SDK client library for sending custom logs to Azure Monitor via Data Collection Rules (DCR) and Data Collection Endpoints (DCE). It covers installation, client creation, synchronous and asynchronous uploads, error handling, and best practices for ingestion.

Azure Monitor Ingestion SDK Python

azure-monitor-ingestion-py

sickn33/agentic-awesome-skills

This Python SDK enables developers to send custom logs to Azure Monitor Log Analytics workspaces using the Logs Ingestion API. It supports authentication via DefaultAzureCredential, handles async/sync uploads, manages batching, and includes error handling for partial failures. Ideal for cloud observability and log management workflows.

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