What problem does it solve? Managing the full lifecycle of Microsoft Foundry agents and models requires juggling azd commands, MCP tools, RBAC roles, quotas, and evaluation pipelines. This Skill orchestrates those workflows end-to-end so developers can scaffold, deploy, evaluate, and fine-tune Foundry resources without memorizing each tool's syntax. ## Core Features & Use Cases - Agent Lifecycle Management: Scaffold, provision, deploy, invoke, schedule, and troubleshoot hosted and prompt agents through azd and Foundry MCP tools, with CI/CD pipeline setup. - Evaluation & Optimization: Run batch and continuous evaluations, curate datasets from production traces, optimize prompts, and run Agent Optimizer jobs on Python hosted agents. - Model Operations: Deploy models with preset, customized, or capacity-discovery routing, and fine-tune models using SFT, DPO, or RFT with grader calibration. - Use Case: A developer creates a new hosted agent with the quick-start workflow, deploys it to a Foundry project, runs batch evaluations against a trace-derived dataset, then fine-tunes the underlying model with DPO once quality regressions appear. ## Quick Start Ask the assistant to create and deploy a new hosted Foundry agent end-to-end using the azd quick-start workflow.