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Azure Architecture Autopilot

Designs, diagrams, reviews and deploys Azure infrastructure from plain-language requests.

Source Download skill
Repository
github/awesome-copilot
Stars
40,703
Licence
MIT
Files
12 files

What it does

This skill guides an AI agent through designing Azure cloud infrastructure from a plain-language request, or analysing resources already in an Azure subscription. It produces an interactive HTML architecture diagram (using bundled Python scripts), lets you refine it through conversation, generates Bicep infrastructure-as-code templates, reviews them, and then runs validate, what-if and deploy steps. Each stage is described in separate reference files the agent follows.

Great for

  • Engineers who need an Azure reference architecture for a RAG, AI or data platform and want a diagram plus starter Bicep
  • Teams that want to inventory and visualise an existing resource group before changing it
  • People who want deployment to go through validate and what-if checks before anything is created

Skip it if

  • Production deployments without a human reviewing the Bicep and what-if output, because the agent executes Azure CLI commands that create or change billable resources
  • Anyone without an Azure subscription and the Azure CLI, since scanning and deploying depend on them

Try asking

  • “Set up a RAG architecture on Azure with AI Search and Azure OpenAI”
  • “Analyze my current Azure infrastructure in resource group rg-prod and draw a diagram”
  • “Reduce costs on my existing Foundry setup”
  • “Generate Bicep for a secure data platform with ADLS Gen2 and private endpoints”
Step-by-step guide: how to use Azure Architecture AutopilotInstall, first run, examples, tips and FAQs

Install in 3 steps

  1. 1

    Download the skill

    The ZIP contains the 12 original files, the MIT licence and an attribution note.

    azure-architecture-autopilot.zip
  2. 2

    Add it to your agent

    Claude Code (all projects)

    mkdir -p ~/.claude/skills && unzip azure-architecture-autopilot.zip -d ~/.claude/skills/

    Claude Code / Agent SDK (this project only)

    mkdir -p .claude/skills && unzip azure-architecture-autopilot.zip -d .claude/skills/

    Claude apps (web/desktop): Settings → Capabilities → Skills → Upload skill, and choose the ZIP.

  3. 3

    Ask for the task

    No special command needed — the agent reads the skill's description and loads it when your request matches. Try one of the prompts above.

Get better results

  • Review the generated Bicep and the what-if output before approving any deploy step, since the agent can create billable resources.
  • Give a specific scope such as a resource group name or service list to keep scans and designs focused.
  • Confirm the subscription and region when asked so deployments land where you intend.

What's inside

  • references/ai-data.md
  • references/architecture-guidance-sources.md
  • references/azure-common-patterns.md
  • references/azure-dynamic-sources.md
  • references/bicep-generator.md
  • references/bicep-reviewer.md
  • references/phase0-scanner.md
  • references/phase1-advisor.md
  • references/phase4-deployer.md
  • references/service-gotchas.md
  • scripts/cli.py
  • SKILL.md

Redistributed unmodified from github/awesome-copilot under the MIT licence. The assessment was drafted with AI from the skill's files on 2026-10-29. Skills can instruct your agent to run code — read SKILL.md and any scripts before installing.