azure-ai-foundry-starter

Creates Azure DevOps CI/CD pipelines from the template YAML files. This skill creates pipelines for agent creation, testing, and deployment automation using the ready-to-use pipeline definitions.

Orchestrates complete Azure AI Foundry deployment to Azure DevOps. Coordinates repository-setup, service-connection-setup, environment-setup, pipeline-setup, and deployment-validation skills. Use when deploying the complete Azure AI Foundry starter template end-to-end.

Cleans up Azure DevOps resources (repositories, service connections, variable groups, pipelines) and resets configuration files. Use when you need to remove Azure DevOps artifacts after testing or to prepare for a fresh deployment of the Azure AI Foundry Starter template.

Safely deletes all Azure resources created by the Azure AI Foundry starter template including resource groups, AI Services, AI Foundry Projects, Service Principal, federated credentials, and RBAC assignments. Use when tearing down environments or starting fresh.

Validates the complete Azure AI Foundry deployment by checking repositories, service connections, variable groups, environments, pipelines, and optionally running the first agent deployment. This skill provides comprehensive verification of the deployment setup.

Creates Azure DevOps variable groups and environments for dev, test, and production. This skill configures environment-specific variables and approval gates required for CI/CD pipelines.

Manages federated credentials for Azure DevOps service connections using Workload Identity Federation. Retrieves actual issuer/subject from service connections and creates/updates federated credentials on Service Principals.

Orchestrates creation of all Azure resources for Azure AI Foundry multi-environment deployment. Coordinates resource-groups, service-principal, and ai-foundry-resources skills. Use when setting up a complete Azure AI Foundry infrastructure from scratch across dev, test, and prod environments.

Creates Azure Service Principal with Entra ID App Registration configured for workload identity federation. Grants RBAC permissions across multiple environments. Use when setting up CI/CD authentication for Azure DevOps pipelines or automated deployments requiring federated credentials.

Creates Azure AI Foundry resources including AI Services (kind AIServices) and AI Foundry Projects for multi-environment deployments. Configures RBAC permissions for Service Principals. Use when provisioning Azure AI Services and AI Foundry Projects for development, testing, or production environments.

Creates Azure DevOps service connections with Workload Identity Federation (no secrets!) and configures federated credentials for the Service Principal. This skill sets up secure authentication between Azure DevOps and Azure using OpenID Connect.

Resets starter-config.json to its default template state with automatic backup. Use when you need to clear all configuration values and start fresh, when the config file becomes corrupted, after testing/cleanup, or to prepare for a new deployment of the Azure AI Foundry Starter template.

Manages centralized configuration for Azure AI Foundry starter deployment including organization names, resource names, project names, and all other customizable values. Use this skill first to set up configuration, or when you need to retrieve/update deployment settings.

Creates Azure Resource Groups for multi-environment deployments (dev, test, prod). Use when you need to create or manage Azure resource groups with proper tagging and environment organization for Azure AI Foundry projects.

Creates custom GitHub Copilot agents (.github/agents/*.agent.md) that define specialized personas, responsibilities, and tool orchestration. Use when you need agents for testing, documentation, security, or deployment. Teaches separation of concerns - agents define WHO/WHAT/WHY, skills define HOW.

Monitors Azure DevOps pipeline execution status, retrieves logs, parses errors, and determines success/failure. Polls pipeline runs until completion and provides detailed error analysis. Use for automated pipeline monitoring and debugging.

Triggers and runs Azure DevOps pipelines via Azure DevOps CLI. Queues pipelines with parameters, monitors initial start status, and returns run ID for tracking. Use when you need to execute ADO pipelines programmatically.

Creates Azure DevOps repository and pushes the ready-to-use Azure AI Foundry template application code. This skill handles git initialization, repository creation via Azure DevOps CLI, and pushing the template code with proper authentication.

Validates the Azure AI Foundry starter deployment environment prerequisites including tool versions, authentication status, connectivity, and resource availability. Use this when setting up or troubleshooting deployment environment, checking prerequisites, or validating configuration before starting deployment.