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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,…
Quellsprache: Englisch
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.
Quellsprache: Englisch
Route gh-aw workflow design/create/debug/upgrade requests to the right prompts.
Quellsprache: Englisch
Audit plugin guidance, setup commands, documentation, and bundled resources for current facts, broken references, and contradictions. Report verified findings and apply confirmed fixes.
Quellsprache: Englisch
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,…
Quellsprache: Englisch
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.
Quellsprache: Englisch
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…
Quellsprache: Englisch
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…
Quellsprache: Englisch
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.
Quellsprache: Englisch
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.
Quellsprache: Englisch
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,…
Quellsprache: Englisch
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.
Quellsprache: Englisch
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.
Quellsprache: Englisch
Create Excalidraw diagram JSON files that make visual arguments. Use when the user wants to visualize workflows, architectures, or concepts.
Quellsprache: Englisch
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…
Quellsprache: Englisch
Diesen Prompt kopieren und in den verwendeten KI-Assistenten einfügen.
Follow https://skillsmp.com/skill-install/prompt.md to install Agent Skills from https://github.com/microsoft/frontier-agentic-cobuild-rvas.Die README konnte nicht geladen werden. Die Skills des Repositorys lassen sich unten weiterhin ansehen.