azure-architecture-autopilot
Helps your agent design Azure infrastructure using natural language. It can analyze existing resources, create architecture diagrams, and assist with deployment.
What it does
This tool helps you design or analyze Microsoft cloud infrastructure (Azure). You can describe what you need in plain language, and it will create a diagram and the code to set it up.
When to use it
- ✓I want to create a new setup in Azure.
- ✓I have an existing setup and want a diagram of it.
- ✓I want to make changes to my current setup.
Example of what to ask your AI
“Create an infrastructure for an e-commerce website with a database and authentication.”
Want more? Open the sections below.
How to use
The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.
Skill link
Ready-to-paste message
How it works
You describe what you want in natural language. The tool understands your request, creates a visual diagram of the architecture, and if you wish, generates the code to configure everything in Azure.
Installation
Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.
In the terminal (Claude Code, Codex, Cursor), in your project folder:
npx skills add github/awesome-copilot --skill azure-architecture-autopilotOr download just the file:
curl -L https://raw.githubusercontent.com/github/awesome-copilot/main/skills/azure-architecture-autopilot/SKILL.md -o SKILL.mdTechnical content (original SKILL.md)
Original text by the author, straight from GitHub.
Azure Architecture Builder
A pipeline that designs Azure infrastructure using natural language, or analyzes existing resources to visualize architecture and proceed through modification and deployment.
The diagram engine is embedded within the skill (scripts/ folder).
No pip install needed — it directly uses the bundled Python scripts
to generate interactive HTML diagrams with 605+ official Azure icons.
Ready to use immediately without network access or package installation.
Automatic User Language Detection
🚨 Detect the language of the user's first message and provide all subsequent responses in that language. This is the highest-priority principle.
- If the user writes in Korean → respond in Korean
- If the user writes in English → respond in English (ask_user, progress updates, reports, Bicep comments — all in English)
- The instructions and examples in this document are written in English, and all user-facing output must match the user's language
⚠️ Do not copy examples from this document verbatim to the user. Use only the structure as reference, and adapt text to the user's language.
Tool Usage Guide (GHCP Environment)
| Feature | Tool Name | Notes |
|---|---|---|
| Fetch URL content | web_fetch |
For MS Docs lookups, etc. |
| Web search | web_search |
URL discovery |
| Ask user | ask_user |
choices must be a string array |
| Sub-agents | task |
explore/task/general-purpose |
| Shell command execution | powershell |
Windows PowerShell |
All sub-agents (explore/task/general-purpose) cannot use
web_fetchorweb_search. Fact-checking that requires MS Docs lookups must be performed directly by the main agent.
External Tool Path Discovery
az, python, bicep, etc. are often not on PATH.
Discover once before starting a Phase and cache the result. Do not re-discover every time.
⚠️ Do not use
Get-Command python— risk of Windows Store alias. Direct filesystem discovery ($env:LOCALAPPDATA\Programs\Python) takes priority.
az CLI path:
$azCmd = $null
if (Get-Command az -ErrorAction SilentlyContinue) { $azCmd = 'az' }
if (-not $azCmd) {
$azExe = Get-ChildItem -Path "$env:ProgramFiles\Microsoft SDKs\Azure\CLI2\wbin", "$env:LOCALAPPDATA\Programs\Azure CLI\wbin" -Filter "az.cmd" -ErrorAction SilentlyContinue | Select-Object -First 1 -ExpandProperty FullName
if ($azExe) { $azCmd = $azExe }
}
Python path + embedded diagram engine: refer to the diagram generation section in references/phase1-advisor.md.
Progress Updates Required
Use blockquote + emoji + bold format:
> **⏳ [Action]** — [Reason]
> **✅ [Complete]** — [Result]
> **⚠️ [Warning]** — [Details]
> **❌ [Failed]** — [Cause]
Parallel Preload Principle
While waiting for user input via ask_user, preload information needed for the next step in parallel.
| ask_user Question | Preload Simultaneously |
|---|---|
| Project name / scan scope | Reference files, MS Docs, Python path discovery, diagram module path verification |
| Model/SKU selection | MS Docs for next question choices |
| Architecture confirmation | az account show/list, az group list |
| Subscription selection | az group list |
Path Branching — Automatically Determined by User Request
Path A: New Design (New Build)
Trigger: "create", "set up", "deploy", "build", etc.
Phase 1 (references/phase1-advisor.md) — Interactive architecture design + diagram
↓
Phase 2 (references/bicep-generator.md) — Bicep code generation
↓
Phase 3 (references/bicep-reviewer.md) — Code review + compilation verification
↓
Phase 4 (references/phase4-deployer.md) — validate → what-if → deploy
Path B: Existing Analysis + Modification (Analyze & Modify)
Trigger: "analyze", "current resources", "scan", "draw a diagram", "show my infrastructure", etc.
Phase 0 (references/phase0-scanner.md) — Existing resource scan + diagram
↓
Modification conversation — "What would you like to change here?" (natural language modification request → follow-up questions)
↓
Phase 1 (references/phase1-advisor.md) — Confirm modifications + update diagram
↓
Phase 2~4 — Same as above
When Path Determination Is Ambiguous
Ask the user directly:
ask_user({
question: "What would you like to do?",
choices: [
"Design a new Azure architecture (Recommended)",
"Analyze + modify existing Azure resources"
]
})
…
FAQ
Do I need to install anything to use it?
No, the tool comes with everything it needs and works without internet access or additional installation.
Does it only work in English?
No, it detects the language you use and responds in the same language. If you speak English, it will respond in English.
Which Azure services does it understand?
It understands common Azure services and can also consult official documentation to understand other services you mention.
Details
Original description by the author
Design Azure infrastructure using natural language, or analyze existing Azure resources to auto-generate architecture diagrams, refine them through conversation, and deploy with Bicep. When to use this skill: - "Create X on Azure", "Set up a RAG architecture" (new design) - "Analyze my current Azure infrastructure", "Draw a diagram for rg-xxx" (existing analysis) - "Foundry is slow", "I want to re
repo: github/awesome-copilot
Popularity
- GitHub stars
- 40k
- Ranking position
- #5021
- License
- MIT
- Updated
- 10/15/2026
Comments
- …
More skills from this repository
acquire-codebase-knowledge
Helps your agent understand and document an existing code project. It's useful for onboarding new people or getting an overview of the architecture.
github/awesome-copilot
acreadiness-assess
Enables your agent to assess a project's readiness for AI and generate a report. It's useful for understanding how well a project is prepared to use AI tools.
github/awesome-copilot
acreadiness-generate-instructions
Helps your agent create instructions for AI tools based on an assessment. It's useful for improving how AI interacts with code and closing identified gaps.
github/awesome-copilot
acreadiness-policy
Enables your agent to help define or apply policies for AI project assessment. It's useful for standardizing how projects are evaluated and ensuring compliance.
github/awesome-copilot
Similar skills
bun-runtime
Has your agent use Bun to run, organize, and test code. It helps choose Bun over other tools and migrate existing projects.
affaan-m/ECC
database-migrations
Helps your agent make safe changes to databases. It ensures changes can be undone and minimizes downtime.
affaan-m/ECC
deployment-patterns
Sets up deployment and CI/CD workflows, containerization, and rollback strategies to ensure safe releases.
affaan-m/ECC