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azure-architecture-autopilot

Designs Azure infrastructure from natural language and renders interactive architecture diagrams.

Updated Sep 10, 2026
Search Tags:#architecture#deployment#rag#azure#infrastructure#diagram#bicep
One-click install
npx skills add https://github.com/serpro-workshop-fortaleza/datacorp-sifap-modernization-team-kit --skill azure-architecture-autopilot-serpro-workshop-fortaleza
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: azure-architecture-autopilot
Source: https://github.com/serpro-workshop-fortaleza/datacorp-sifap-modernization-team-kit/tree/main/.github/skills/azure-architecture-autopilot
Command: npx skills add https://github.com/serpro-workshop-fortaleza/datacorp-sifap-modernization-team-kit --skill azure-architecture-autopilot-serpro-workshop-fortaleza

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve? Designing Azure infrastructure requires deep knowledge of service configurations, networking patterns, and constantly changing API versions. This Skill guides you through a structured design-diagram-review-deploy workflow, turning natural language requests into validated Azure architectures with interactive diagrams, while verifying dynamic facts like API versions, SKUs, and model availability against Microsoft Docs. ## Core Features & Use Cases - Two Workflow Paths: Design new infrastructure from scratch (Path A) or scan and analyze existing Azure resources in a resource group, then iterate with modifications (Path B). - Offline Diagram Engine: Bundled Python scripts render interactive HTML architecture diagrams with over 605 official Azure icons, no installation or internet connection required. - Phased Pipeline with Guardrails: Enforces ordered phases (advisor, Bicep generation, code review, what-if analysis, deployment) and never generates infrastructure code before a confirmed diagram. - Use Case: Ask to design a RAG architecture on Azure. The Skill interviews you about requirements, verifies model availability in your target region, produces an interactive diagram of Foundry, AI Search, ADLS Gen2, and Key Vault with Private Endpoints, then generates and reviews Bicep templates. ## Quick Start Ask the assistant to design a RAG architecture on Azure with private networking and draw an interactive diagram of the result.

Frequently Asked Questions about azure-architecture-autopilot

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I design an Azure architecture from a natural language description?▼

Describe the workload you want, such as a RAG chatbot or data platform, and the Skill runs an interactive advisor phase that confirms services, SKUs, and regions. It then renders an interactive HTML diagram before generating any infrastructure code.

How to generate a diagram of existing Azure resources in a resource group?▼

Use the analyze path by asking to scan a resource group such as rg-sifap. The scanner phase inventories existing resources, infers relationships between them, and renders an interactive diagram you can then modify through conversation.

Does the diagram engine require internet access or pip install?▼

No. The bundled Python scripts in scripts/ render interactive HTML diagrams fully offline using over 605 embedded official Azure icons. PNG export additionally requires Node.js with puppeteer, but HTML output works without it.

Can this Skill deploy the generated Bicep templates to Azure?▼

Yes, but only after passing code review and a mandatory what-if analysis that simulates changes without deploying. Actual deployment requires your explicit approval and needs the Azure CLI and Bicep tools installed and discoverable on the machine.

Why does the Skill verify API versions and model availability in Microsoft Docs?▼

Azure API versions, SKUs, regional availability, and model deployments change frequently, and stale values cause deployment failures. The Skill fetches current facts from Microsoft Docs instead of relying on static knowledge before generating Bicep.

What are the limitations of the Bicep output in this kit context?▼

The kit's infrastructure standard is Terraform with the Azure provider, so generated Bicep is reference-only and out of scope for deliverables. Any adopted architecture must be converted to Terraform in infra/ with the mandatory project, environment, and owner tags.

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