What Azure resources does this skill create?

The skill generates Bicep templates to provision Cosmos DB, Azure AI Search, and the necessary Azure AI Foundry Project infrastructure.

Do I need the Azure CLI installed to use this skill?

Yes, you should have the Azure CLI installed and be authenticated via 'az login' before running the deployment workflow.

Can I customize the resource names and regions?

Yes, the phased workflow gathers your configuration preferences, including subscription ID, resource group, region, and naming conventions.

Is there a limit to how many tools my agent can have?

Azure AI Foundry enforces a 128-tool limit per agent. This scaffolder focuses on creating worker agents that operate within these technical constraints.

Azure Agent Scaffolder

Name: Azure Agent Scaffolder
Author: richfrem

byrichfrem

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Cloud Infrastructure

Deploys existing agent skills to Azure AI Foundry by generating automated Bicep templates and Python orchestration scripts.

The Azure Agent Scaffolder is designed to bridge the gap between local agent development and production cloud environments. By analyzing an existing agent skill, it automates the creation of a comprehensive deployment package including Bicep templates for infrastructure-as-code and Python wrappers using the Azure AI Projects SDK. This skill manages the complexity of provisioning Cosmos DB, AI Search, and Azure AI Foundry projects, ensuring that developers can migrate their agentic workflows to the Azure ecosystem with consistency and architectural best practices.

Key Features

01Pre-deployment skill validation via integrated auditing

02Interactive Azure configuration discovery for subscriptions and regions

03Cloud resource provisioning for Cosmos DB and AI Search

042 GitHub stars

05Python Azure AI Projects SDK orchestration scripts

06Automated Bicep template generation for Azure infrastructure

Use Cases

01Deploying a local Claude Code skill to a production-hosted Azure environment

02Transitioning experimental agents into scalable Azure AI Foundry applications

03Generating standard Infrastructure-as-Code for enterprise AI agent projects

Key Features

01Pre-deployment skill validation via integrated auditing

02Interactive Azure configuration discovery for subscriptions and regions

03Cloud resource provisioning for Cosmos DB and AI Search

042 GitHub stars

05Python Azure AI Projects SDK orchestration scripts

06Automated Bicep template generation for Azure infrastructure

Use Cases

01Deploying a local Claude Code skill to a production-hosted Azure environment

02Transitioning experimental agents into scalable Azure AI Foundry applications

03Generating standard Infrastructure-as-Code for enterprise AI agent projects