Skill UI

A comprehensive SDK for running Playwright end-to-end tests at scale. It leverages cloud-hosted browsers within the Azure ecosystem, allowing developers to execute reliable, large-scale automated tests. Features include integrated Azure portal reporting, seamless authentication using Microsoft Entra ID, and strong support for CI/CD pipelines.

A comprehensive SDK for running Playwright end-to-end tests at scale. It leverages cloud-hosted browsers within the Azure ecosystem, allowing developers to execute reliable, large-scale automated tests. Features include integrated Azure portal reporting, seamless authentication using Microsoft Entra ID, and strong support for CI/CD pipelines.

Automates Azure ML Deployer workflows by offering best-practice guidance, code/config generation, and validation for serving, MLOps pipelines, monitoring, and production optimization.

Automates Azure ML Deployer workflows by offering best-practice guidance, code/config generation, and validation for serving, MLOps pipelines, monitoring, and production optimization.

This SDK provides comprehensive support for automatically instrumenting Node.js applications to collect observability data. It integrates distributed tracing, metrics, and logs using the OpenTelemetry standard, allowing seamless data export and monitoring within Azure Monitor. It supports various resource types and connection methods.

This SDK provides the management plane interface for provisioning and administering Azure SQL resources (servers, databases, firewalls, etc.) using C# and .NET. It allows developers to automate the deployment lifecycle of SQL infrastructure entirely through code, integrating seamlessly with the Azure Resource Manager.

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 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 skill provides a comprehensive guide to establishing SAML 2.0 identity federation between on-premises Active Directory and Microsoft Entra ID (Azure AD). It covers the architecture, prerequisites, and practical steps (including PowerShell scripting) required to achieve seamless Single Sign-On (SSO) and centralized authentication authority for hybrid environments and third-party SaaS applications.

This comprehensive guide details how to implement Single Sign-On (SSO) for Google Workspace using the SAML 2.0 protocol. It guides administrators through connecting a third-party Identity Provider (IdP) like Okta or Azure AD to centralize authentication, enforce MFA, and manage access policies across the organization.

This guide provides a deep dive into migrating machine learning workloads, including inference services and training pipelines, from major hyperscalers (AWS, GCP, Azure) to the CoreWeave GPU cloud. It covers cost comparisons, containerization, Kubernetes YAML adaptation, and a phased deployment strategy, helping users ensure a smooth, cost-effective, and optimized transition.

This skill provides a comprehensive guide for deploying Navan's connections to major enterprise platforms, including ERP systems (NetSuite, Xero), HRIS (Workday), and Identity Providers (Okta, Azure AD). It covers best practices for expense sync, user provisioning (SCIM), and Single Sign-On (SAML/OIDC) using APIs and admin configurations, ensuring secure and accurate data flow across disparate business systems.