create-azure-agentlisted

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