Create Azure Agent

Follow the create-azure-agent skill workflow to generate Azure AI Foundry deployment wrappers for an existing agent skill.

Inputs

• $ARGUMENTS — optional path to the skill directory to deploy. Omit to start with discovery.

Steps

1. If $ARGUMENTS provides a skill directory, resolve and validate the path
2. Follow the create-azure-agent phased workflow: confirm the target skill, gather Azure configuration (subscription, resource group, region, naming preferences), then run scaffold_azure_agent.py to generate Bicep templates and the Python Azure AI Projects SDK deployment wrapper
3. Summarize generated files in the skill's azure_deployment/ directory
4. Instruct on reviewing .bicep parameters and running az deployment group create

Output

azure_deployment/azure_agent.py (Azure AI Projects SDK orchestration script) and azure_deployment/main.bicep (Cosmos DB, AI Search, and Foundry Project infrastructure).

Edge Cases

• If $ARGUMENTS is empty: ask for the target skill directory before proceeding
• If Azure credentials are not configured: instruct user to run az login first
• Azure AI Foundry enforces a 128-tool limit — scaffold generates a focused worker agent
• Offer to run /agent-scaffolders:audit-plugin to validate the skill before deploying