Latest Agent Skills

Create Pydantic models following the multi-model pattern with Base, Create, Update, Response, and InDB variants for clean API contracts in Python applications using Pydantic v2.

Publish events to Azure Event Grid using CloudEvents or EventGridEvent schemas, with support for sync and async clients, namespace topics, and DefaultAzureCredential authentication.

Build production-grade Azure Cosmos DB NoSQL services with Python/FastAPI, including client setup with dual authentication, service layer CRUD operations, partition key strategies, parameterized queries, and TDD patterns.

Build event-driven applications using the Azure Event Grid SDK for Java, including publishing and receiving events with EventGridEvent, CloudEvent, and custom schemas.

Build enterprise agents for Microsoft 365, Teams, and Copilot Studio using the Microsoft.Agents SDK with ASP.NET Core hosting, agent routing, and MSAL-based authentication.

List, find, and show Azure resources across subscriptions or resource groups using Azure Resource Graph queries.

Authenticate to Azure services from Rust using Microsoft Entra ID credentials, including managed identity, service principal, and local development tools.

Send and receive events from Azure Event Hubs in Rust, with support for batch sending, partition consumption, and configurable start positions.

Create FastAPI routers with CRUD operations, authentication dependencies, and proper response models following established patterns.

Manage secrets, cryptographic keys, and certificates in Azure Key Vault using the Python SDK.

Authenticate to Azure services from Python using Microsoft Entra ID with DefaultAzureCredential, managed identity, service principals, and token caching.

Ingest and process high-throughput event streams using Azure Event Hubs SDK for Python, with support for producers, consumers, and checkpointing.

Authenticate Java applications with Azure services using Microsoft Entra ID, supporting credential types for local development, managed identities, service principals, and CI/CD pipelines.

Build real-time streaming applications with the Azure Event Hubs SDK for Java, including sending and receiving events, batch processing, and production-ready event processors.

Assess and migrate cross-cloud workloads to Azure with reports and code conversion. Supports Lambda to Functions, Beanstalk/Heroku/App Engine to App Service, Fargate/Kubernetes/Cloud Run/Spring Boot to Container Apps.

Provides CRUD operations for Azure Cosmos DB NoSQL API from Rust, including document management, container operations, and globally distributed data access.

Perform CRUD operations, run queries, and manage containers on Azure Cosmos DB NoSQL API using the Python SDK.

Provides code examples and guidance for using the Azure Cosmos DB SDK for Java, including setup, authentication, CRUD operations, and querying.

Walks users from a bare AKS cluster to a running AI model deployment, covering cluster verification, controller install, GPU assessment, provider setup, and first deployment.

Build multichannel agents for Microsoft 365, Teams, and Copilot Studio using the Microsoft Agents SDK with aiohttp hosting, AgentApplication routing, streaming responses, and MSAL-based authentication.

Manage Azure Machine Learning resources including workspaces, jobs, models, data, compute, and pipelines using the SDK v2 for Python.

Deploy, evaluate, fine-tune, and manage Microsoft Foundry agents end-to-end using Azure Developer CLI and MCP tools.

Assess and improve the reliability posture of Azure Functions and App Service applications by scanning for zone redundancy, ZRS storage, health probes, and multi-region failover, then driving staged remediation with user confirmation.

Debug and troubleshoot Azure production issues using AppLens, Azure Monitor, resource health, and systematic diagnosis flows for services like App Service, Functions, AKS, Container Apps, and Messaging.

Plan, create, and configure production-ready Azure Kubernetes Service (AKS) clusters, covering Day-0 decisions, SKU selection, networking, security, and operations.

Run Azure compliance and security audits using azqr and Key Vault expiration checks, covering best-practice assessment, resource review, and security posture validation.

Diagnose and resolve issues with Azure Event Hubs and Service Bus SDKs, including connection failures, authentication errors, message processing problems, and SDK configuration.

Configure Azure API Management as an AI Gateway to govern AI models, MCP tools, and agents with policies for caching, rate limiting, content safety, and cost control.

Run pre-deployment validation checks for Azure readiness, including configuration, infrastructure (Bicep or Terraform), RBAC role assignments, and managed identity permissions.

Generates rich technical documentation pages with dark-mode Mermaid diagrams, source code citations, and first-principles depth.

Generates a Node.js build script that converts VitePress/GFM markdown to Azure DevOps Wiki format, handling Mermaid syntax, front matter, and links.

Assesses and automates upgrades of Azure workloads between plans, tiers, or SKUs, and modernizes Azure SDK for Java dependencies in source code.

Provides reference information and CLI commands for Azure Storage services including Blob, File Shares, Queue, Table, and Data Lake, along with guidance on access tiers, redundancy options, and SDK usage.

Generate infrastructure code (Bicep/Terraform), azure.yaml, and Dockerfiles for Azure deployment, with a mandatory planning workflow.

Routes Azure VM and Virtual Machine Scale Set (VMSS) requests to the right workflow for recommendation, creation, troubleshooting, capacity reservation, and essential machine management.

Conducts multi-turn iterative deep research on specific topics within a codebase, tracing actual code paths and grounding every claim in evidence.

Generates four audience-tailored onboarding guides in an onboarding/ folder — Contributor, Staff Engineer, Executive, and Product Manager. Use when the user wants onboarding documentation for a codebase.

Check and manage Azure quotas and service limits across resource providers and regions for deployment planning and capacity validation.

Execute Azure deployments for already-prepared applications using azd up, azd deploy, terraform apply, and az deployment commands with built-in error recovery and verification.

Packages generated wiki Markdown into a VitePress static site with dark theme, dark-mode Mermaid diagrams with click-to-zoom, and production build output.

Analyzes git commit history and generates structured changelogs categorized by change type.

Analyzes code repositories and generates hierarchical documentation structures with onboarding guides.

Generates AGENTS.md files for repository folders to provide coding agents with project-specific context including build commands, testing instructions, code style, project structure, and operational boundaries, only where AGENTS.md is missing.

Execute KQL queries and manage Azure Data Explorer resources for fast, scalable big data analytics on log, telemetry, and time series data.

Generates llms.txt and llms-full.txt files that provide LLM-friendly access to wiki documentation, following the llms.txt specification.

Finds the least-privilege Azure RBAC role for an identity, generates CLI commands and Bicep code to assign it, and provides guidance on permissions needed to grant roles.

Query Azure costs, forecast spending, and identify optimization opportunities to reduce waste.

Integrate with Azure AI services including Search, Speech, OpenAI, and Document Intelligence for search, transcription, OCR, and text-to-speech tasks.

Instrument browser/web apps with the Application Insights JavaScript SDK for Real User Monitoring (RUM), including page views, clicks, AJAX/fetch dependencies, exceptions, custom events, and GenAI agent traces correlated to backend OpenTelemetry traces.

Answers questions about a code repository by analyzing source files, providing evidence-based explanations with inline citations.

Design well-architected, production-grade cloud systems following Azure Architecture Center best practices, including design principles, architecture styles, cloud design patterns, and technology choice frameworks.

Review UI implementations against design quality standards and design system compliance, or create distinctive, production-grade frontend interfaces from scratch.

Transform raw notes, error logs, voice dictation, or screenshots into structured GitHub-flavored markdown issue reports.

Generate AI-powered podcast-style audio narratives from text using Azure OpenAI's GPT Realtime Mini model via WebSocket, with full-stack implementation from React frontend to Python FastAPI backend.

Implements a continual learning loop for AI coding agents using hooks, two-tier memory (global and local), and automatic pattern detection to persist and apply learnings across sessions.

Query official Microsoft documentation to understand concepts, find tutorials, configuration options, limits, quotas, and best practices for Azure, .NET, M365, Windows, Power Platform, and other Microsoft technologies.

Create and manage OAuth2-capable identities for AI agents using Microsoft Graph beta API.

Provides a structured guide for creating effective skills for AI coding agents, with emphasis on Azure SDKs and Microsoft Foundry services.

Guides the creation of high-quality MCP servers that enable LLMs to interact with external services through well-designed tools, covering planning, implementation, testing, and evaluation across multiple programming languages.

Build applications that programmatically interact with GitHub Copilot using the Copilot SDK, supporting session management, custom tools, streaming, hooks, MCP servers, and deployment across Node.js, Python, Go, and .NET.