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Define and deploy Azure infrastructure with ARM templates and Bicep, languages for describing cloud resources in files. Get guidance on reusable modules, resource dependencies, environment parameters, and previewing deployment changes before applying them.

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• Defining Azure networks and virtual machines in code
• Sharing modules across development and production
• Previewing infrastructure changes with What-If

Guide an authorized Android security assessment from app inventory and APK acquisition to decompilation, embedded secret checks, exposed component review, runtime inspection, and network traffic analysis. The skill provides documentation and examples rather than bundled executable helpers.

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• Inventory Android apps within an authorized scope
• Check APKs for embedded secrets and internal URLs
• Review exposed components and Firebase configuration

Create container-based hosted agents in Azure AI Foundry using Python and the Azure AI Projects SDK. Follow examples for resource settings, authentication, version management, and checks needed before treating a deployment as healthy.

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• Creating a hosted agent from a custom container image
• Configuring CPU, memory, and environment variables
• Listing and deleting agent versions

Build persistent agents on Azure AI Foundry with the Microsoft Agent Framework Python SDK. Connect functions, search, and MCP tools, preserve conversation context, stream responses, and return data in a defined structure.

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• Building an agent that preserves conversation context
• Connecting Python functions and hosted search tools
• Displaying responses as they arrive

Plan and coordinate authorized penetration tests across multiple stages, from reconnaissance to access, privilege escalation, movement between systems, and impact assessment. Assign specialist skills, revise blocked paths, and maintain evidence and progress records for the final report.

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• Plan a penetration test across multiple stages
• Assess how far a vulnerability could lead
• Replan from existing credentials or system access

Compare software binaries before and after a security patch to identify the underlying flaw. Guide creation of a proof of concept, a small vulnerability demonstration, and compare its behavior across patched and unpatched versions.

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• Investigating a known CVE without a public proof of concept
• Analyzing Windows Patch Tuesday changes
• Checking Linux LTS branches for missing fixes

Design machine learning workflows from data preparation through training, validation, deployment, and monitoring. Use templates and guidance to connect stages, track versions and experiments, handle failures, and plan gradual releases with rollback options.

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• Designing an end-to-end machine learning pipeline
• Building reproducible training workflows
• Comparing models before production deployment

Review cloud spending across AWS, Azure, GCP, and OCI. Guides resource sizing, discount commitments, storage policies, cost allocation tags, and budget alerts to identify waste and establish ongoing cost management while considering performance and reliability.

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• Finding oversized or idle cloud resources
• Comparing pricing models for steady workloads
• Reviewing storage tiers and retention policies

Manage API keys, passwords, and certificates used in CI/CD, the automated process for testing and deploying software. Connect secret stores, plan credential rotation, restrict access, and prevent sensitive values from appearing in logs.

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• Moving API keys and passwords out of source code
• Connecting CI/CD pipelines to secret stores
• Planning automated or manual credential rotation

Build reusable Terraform modules for AWS, Azure, GCP, and OCI. Organize cloud infrastructure as code with documented inputs, validation, usage examples, provider version constraints, and Terratest tests for consistent provisioning.

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• Create reusable cloud infrastructure modules
• Standardize Terraform conventions across a team
• Connect network and database modules

Plan and configure connections between on-premises data centers and AWS, Azure, GCP, or OCI using VPNs or dedicated links. Cover routing, redundant connections, security controls, monitoring, troubleshooting, and connection costs.

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• Connect an on-premises data center to the cloud
• Plan connectivity for a gradual cloud migration
• Design redundant links and automatic failover

Plan systems across AWS, Azure, GCP, and OCI by comparing services and architecture patterns. Helps guide service selection, disaster recovery, migration planning, and cost decisions while considering ways to reduce dependence on a single provider.

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• Planning a system across multiple cloud providers
• Designing disaster recovery in another cloud
• Comparing cloud services for a workload

Create agent skills for Microsoft technologies by researching official documentation and code samples. Package essential knowledge and examples locally, with instructions for looking up detailed or version-specific information through Microsoft Learn tools or the mslearn CLI.

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• Create an agent skill for Azure tasks
• Package .NET library usage into a skill
• Organize framework conventions and code examples

Prepare and publish Windows apps to the Microsoft Store using msstore. Covers account credentials, application packaging, submission tracking, beta testing groups, gradual releases, and automated publishing through CI/CD pipelines.

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• Set up credentials for Microsoft Store publishing
• Package and submit a Windows app
• Check submission status and update listing metadata

Integrate Microsoft Graph SDK into .NET, TypeScript/JavaScript, or Python applications to access Microsoft 365 data. Covers authentication, permissions, paginated results, incremental synchronization, change notifications, and retries when requests hit service limits.

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• Building apps that access Microsoft 365 mail and calendars
• Integrating Teams, OneDrive, and SharePoint data
• Synchronizing only data changed since the previous run

Find explanations, tutorials, configuration guidance, and code examples in official documentation for Microsoft technologies. Choose documentation sources for Azure, .NET, VS Code, GitHub, Aspire, and Agent Framework based on where the relevant material is published.

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• Find official explanations and setup instructions
• Look up code examples for a specific language
• Research VS Code settings or extension APIs

Build, update, explain, or review Microsoft Agent Framework applications in .NET or Python. The skill guides agent and workflow design using current official documentation and supports migration from Semantic Kernel or AutoGen.

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• Build an agent application in .NET or Python
• Review agent and workflow design
• Migrate from Semantic Kernel or AutoGen

Create a Power Apps Code App starter project with React and TypeScript. Set up development tools, authentication, connector examples, and deployment scripts, with documentation covering local development and Power Platform configuration.

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• Start a Power Apps Code App project
• Build a sample that retrieves Office 365 Users profiles
• Document local development and deployment steps

Check Microsoft API usage against official documentation and code samples. Find methods, parameters, and packages for Azure SDKs, .NET libraries, and Microsoft APIs, then compare implementations to investigate errors or outdated patterns.

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• Verify methods and parameters before writing code
• Find official code samples for authentication or uploads
• Investigate missing methods and type errors

Generate an MCP server, a service exposing tools to AI agents, and a Power Platform custom connector for Copilot Studio. Outputs include connector definitions, authentication settings, request handling, individual tools, and deployment configuration.

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• Connect a Copilot Studio agent to an external API
• Create tools for customer search and analysis
• Generate connector files and authentication settings

Turn existing Azure infrastructure into Terraform code using Azure Verified Modules, reusable infrastructure components. Discover resources, document dependencies, derive import addresses from module source, and check plans for unwanted changes to the live environment.

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• Bring existing Azure resources under Terraform management
• Generate code for a subscription or resource group
• Document resource dependencies and architecture

Plan and explain Lakehouse solutions in Microsoft Fabric, a place to manage tables and files together. Understand data organization, links to data without copying, access controls, and table maintenance options for designing and improving a solution.

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• Writing an introduction to Fabric Lakehouse
• Planning how to organize tables and files
• Reviewing data links and access controls

Create an agent user in Microsoft Entra ID so an AI agent can access services requiring a user identity. Covers validating the parent agent identity, creating the account, assigning a manager and licenses, and troubleshooting setup errors.

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• Create a user identity linked to an existing agent identity
• Prepare an agent account for a mailbox and Teams
• Assign a manager for organizational chart visibility

Turn written descriptions of processes, systems, and ideas into editable Excalidraw diagrams. Create flowcharts, mind maps, relationship diagrams, and architecture diagrams, then receive an .excalidraw file to open and refine.

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• Visualizing business procedures as flowcharts
• Explaining system components and connections
• Organizing brainstorming ideas into mind maps