Skill UI

This comprehensive SDK provides tools for building enterprise-grade AI agents integrated across the Microsoft 365 ecosystem, including Teams and Copilot Studio. It supports advanced features such as Express hosting, structured routing, streaming responses via Azure OpenAI, and direct client integration, enabling developers to build sophisticated business automation solutions.

This guide details the process of building Model Context Protocol (MCP) servers. These servers are crucial for enabling Large Language Models (LLMs) to interact with external APIs and services, facilitating complex, real-world task completion. It provides comprehensive coverage on architectural planning, choosing appropriate languages (Python, TypeScript, C#), and selecting transport mechanisms (HTTP, stdio) for robust integration within enterprise ecosystems like Azure and Foundry.

This SDK provides Azure Functions extensions for handling Microsoft Entra ID custom authentication events within a .NET environment. Developers can intercept key stages of the authentication lifecycle, such as token issuance, attribute collection, and OTP sending. Use cases include enriching access tokens with custom claims, fetching external user data to populate profiles, and customizing the sign-up user experience.

This comprehensive guide covers the entire MLOps lifecycle, specializing in building robust, scalable, and production-grade Machine Learning systems. Expertise includes orchestrating complex ML pipelines using Kubeflow, Airflow, Prefect, and cloud-native services (AWS SageMaker, Azure ML, GCP Vertex AI). It covers experiment tracking (MLflow, W&B), model versioning, model registries, infrastructure as code (Terraform), and container deployment using Kubernetes. Ideal for engineers tasked with moving ML models from research to reliable, managed production environments.

This skill provides a comprehensive decision framework and set of patterns for architects designing cloud-agnostic applications across major providers like AWS, Azure, and GCP. It details service comparisons (Compute, Storage, DB), multi-cloud patterns (e.g., Best-of-Breed, DR), cost optimization strategies, and structured migration plans, ensuring robust and resilient enterprise deployments.

A comprehensive guide to implementing secure secrets management practices for Continuous Integration/Continuous Deployment (CI/CD) pipelines. It covers using industry-leading tools like HashiCorp Vault, AWS Secrets Manager, Azure Key Vault, and GCP Secret Manager to securely store, retrieve, and automatically rotate credentials (API keys, database passwords, TLS certificates) without hardcoding them into source code. Includes best practices for least-privilege access and audit logging.

This comprehensive toolkit provides end-to-end DevOps automation capabilities. It scaffolds CI/CD pipelines (GitHub Actions, CircleCI), generates robust Infrastructure as Code (IaC) modules using Terraform for major clouds (AWS, GCP, Azure), and manages complex Kubernetes deployments (Blue/Green, Rolling). Ideal for automating infrastructure setup, application deployment, and drift management in multi-cloud environments.

This comprehensive guide outlines the best practices and structured methodology for developing specialized skills for AI coding agents. It provides detailed instructions on integrating Azure SDKs and Microsoft Foundry services, covering crucial topics like secure authentication patterns (DefaultAzureCredential), modular workflow design, and maintaining concise, effective knowledge context for optimal agent performance.

A comprehensive collection of production-ready, reusable Terraform modules designed for standardized infrastructure provisioning across major cloud platforms: AWS, Azure, and GCP. This library enforces Infrastructure as Code (IaC) best practices, allowing users to build, test, and deploy multi-cloud compatible components efficiently and reliably.

This deep dive guides users through migrating complex GPU workloads, such as deep learning training pipelines, from major hyperscalers (AWS, GCP, Azure) or other cloud platforms to Vast.ai. It covers critical steps including cost comparison analysis, adapting Docker images for new environments, securely handling cloud credentials via environment variables, and implementing robust validation and rollback procedures to ensure a smooth transition.

This skill facilitates the configuration and management of Single Sign-On (SSO) for Windsurf enterprise deployments. It supports industry-standard protocols like SAML 2.0 and OIDC/OAuth 2.0, allowing seamless identity integration with major providers such as Okta, Azure AD, and Google Workspace. Essential for administrators implementing centralized, secure enterprise authentication.

This script provides a comprehensive security assessment of Microsoft Entra ID (Azure AD) identity configurations. It audits for risky authentication policies, overly permissive role assignments, stale accounts, conditional access gaps, and guest user risks using PowerShell and Graph API. Ideal for compliance audits, security posture review, and post-merger security assessments.