Skill UI

Provision production-grade Vertex AI ADK Agent Engine infrastructure with Terraform, covering Agent Engine runtime, code execution sandbox, Memory Bank, VPC Service Controls, and secure IAM setup for multi-agent deployments.

Argocd App Deployer is an auto-activating assistant for advanced DevOps operators working with Argo CD deployments. Mention “argocd app deployer” or request deployment best practices to get step-by-step recommendations, production-ready configs, validation, and guidance spanning Kubernetes, Terraform, Helm, monitoring, and IaC patterns.

Argocd App Deployer is an auto-activating assistant for advanced DevOps operators working with Argo CD deployments. Mention “argocd app deployer” or request deployment best practices to get step-by-step recommendations, production-ready configs, validation, and guidance spanning Kubernetes, Terraform, Helm, monitoring, and IaC patterns.

Provides canonical AWS serverless patterns covering Lambda handlers, DynamoDB single-table modeling, CDK infrastructure, and S3 event processing along with anti-patterns and a checklist for production-ready deployments.

This skill provides comprehensive guidance and established patterns for developing applications on Amazon Web Services (AWS). It focuses specifically on implementing robust infrastructure automation and adhering to best-practice cloud architecture patterns, ensuring scalable, secure, and resilient cloud deployments. Use this when building enterprise-grade systems requiring modern cloud development methodologies.

This skill provides comprehensive guidance and established patterns for developing applications on Amazon Web Services (AWS). It focuses specifically on implementing robust infrastructure automation and adhering to best-practice cloud architecture patterns, ensuring scalable, secure, and resilient cloud deployments. Use this when building enterprise-grade systems requiring modern cloud development methodologies.

This is a high-level SDK for .NET that provides comprehensive client access to Azure AI Foundry services. It enables developers to manage complex AI workflows, including creating and managing conversational agents, handling data connections, uploading datasets, managing model deployments, and setting up search indexes within an Azure AI project structure. Ideal for integrating advanced AI capabilities into enterprise applications.

The Azure AI Projects SDK enables developers to build and manage sophisticated, end-to-end AI applications directly on Microsoft Foundry. It provides comprehensive client operations for managing agents, datasets, model deployments, and indexes. Key features include integrating diverse tools (like code interpreters and file search) and handling complex conversational flows, making it ideal for building production-grade AI workflows.

The Azure AI Projects SDK enables developers to build and manage sophisticated, end-to-end AI applications directly on Microsoft Foundry. It provides comprehensive client operations for managing agents, datasets, model deployments, and indexes. Key features include integrating diverse tools (like code interpreters and file search) and handling complex conversational flows, making it ideal for building production-grade AI workflows.

This comprehensive library provides robust and flexible authentication methods for Java applications interacting with Azure services. It supports multiple credential types, such as DefaultAzureCredential, Managed Identity, Client Secrets, and Azure CLI credentials. This ensures secure and reliable connectivity across diverse environments, including local development, CI/CD pipelines, and production cloud deployments.

This comprehensive library provides robust and flexible authentication methods for Java applications interacting with Azure services. It supports multiple credential types, such as DefaultAzureCredential, Managed Identity, Client Secrets, and Azure CLI credentials. This ensures secure and reliable connectivity across diverse environments, including local development, CI/CD pipelines, and production cloud deployments.

A comprehensive SDK providing robust authentication credentials for Python applications interacting with Azure services. It simplifies secure access by supporting multiple credential types, including Managed Identity, Service Principal, and Azure CLI. Features like DefaultAzureCredential allow seamless authentication across local environments, CI/CD pipelines, and various Azure cloud deployments.