Architecture-first Microsoft-cloud AI design for new applications, platform-managed agents, or AI capabilities in existing systems. Use when discovery, a functional/technical specification, editable draw.io views, AI token and platform-consumption estimates,…
microsoft/frontier-agentic-cobuild-rvas
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Skills in this repository
Showing 15 of 15 collected skills.
Research a customer's business, industry, and publicly stated priorities on the web when the team needs AI opportunity ideas. Propose internal and external ideas by complexity and prepare a selected idea's unapproved brief for AI Agent Creator.
Route gh-aw workflow design/create/debug/upgrade requests to the right prompts.
Audit plugin guidance, setup commands, documentation, and bundled resources for current facts, broken references, and contradictions. Report verified findings and apply confirmed fixes.
Create branded architecture, architecture delta, IT current-state, flowchart, sequence, state machine, ER/data model, timeline, swimlane, quadrant, radar/spider, polar chart (polar/radial lollipop), loop/flywheel, nested, tree, org chart, layer stack,…
Build Microsoft Foundry IQ knowledge bases (preview) — multi-source, permission-aware grounding with agentic retrieval (query decomposition + parallel search + reranking); expose to agents via MCP. Use for AI Grounding knowledge-base lessons.
Curate intent-based Microsoft Foundry Toolboxes (preview) — one MCP-compatible endpoint bundling MCP, Web Search, Azure AI Search, Code Interpreter, File Search, OpenAPI, A2A, Browser Automation, and Computer Use tools. Use when a scenario needs a toolbox…
Create, edit, or troubleshoot Azure-first architecture diagrams as editable draw.io files, with AWS and multicloud topology support and identity, API, and CI/CD flow diagrams. Use for architecture visualization, network boundaries, interaction flows, or…
Build, deploy, and manage Microsoft Foundry hosted (containerized) agents — Responses + Invocations protocols, agent.yaml, azd ai agent, per-agent Entra identity, dedicated endpoints, ACR. Use for optional hosted-agent paths in scenario deployment lessons.
Discover, deploy, and manage Microsoft Foundry models; preset vs customized deployments; capacity discovery across regions; quota; PTU vs PAYG; RAI policy. Use for scenario model selection.
Trace, monitor, and evaluate Microsoft Foundry agents — OpenTelemetry GenAI traces in Application Insights (KQL), eval↔trace correlation, azd ai agent monitor, dataset curation from prod traces, built-in quality + safety/RAI evaluators, batch evals,…
Provision Microsoft Foundry resources and projects; wire connections (key / OAuth / managed identity / agent identity); standard vs private-network infra. Use for scenario setup and provisioning.
Multi-agent orchestration in Microsoft Foundry — declarative workflow vs A2A tool call vs Connected Agents pattern; Microsoft Agent Framework (MAF) patterns including Magentic manager/planner. Use when adapting a scenario to multi-agent orchestration.
Create Excalidraw diagram JSON files that make visual arguments. Use when the user wants to visualize workflows, architectures, or concepts.
Deploy, evaluate, fine-tune, and manage Foundry agents end-to-end: Docker build, ACR push, hosted/prompt agent create, container start, batch eval, continuous eval, prompt optimizer, Agent Optimizer scaffold, agent.yaml, dataset curation from traces, model…