azure-architecture-autopilot

>

INSTALLATION
npx skills add https://github.com/github/awesome-copilot --skill azure-architecture-autopilot
Run in your project or agent environment. Adjust flags if your CLI version differs.

SKILL.md

$2b

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_fetch or web_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"

  ]

})

Phase Transition Rules

  • Each Phase reads and follows the instructions in its corresponding references/*.md file
  • When transitioning between Phases, always inform the user about the next step
  • Do not skip Phases (especially the what-if between Phase 3 → Phase 4)
  • 🚨 Required condition for Phase 1 → Phase 2 transition: 01_arch_diagram_draft.html must have been generated using the embedded diagram engine and shown to the user. Do not proceed to Bicep generation without a diagram. Completing spec collection alone does not mean Phase 1 is done — Phase 1 includes diagram generation + user confirmation.
  • Modification request after deployment → return to Phase 1, not Phase 0 (Delta Confirmation Rule)

Service Coverage & Fallback

Optimized Services

Microsoft Foundry, Azure OpenAI, AI Search, ADLS Gen2, Key Vault, Microsoft Fabric, Azure Data Factory, VNet/Private Endpoint, AML/AI Hub

Other Azure Services

All supported — MS Docs are automatically consulted to generate at the same quality standard.

Do not send messages that cause user anxiety such as "out of scope" or "best-effort".

Stable vs Dynamic Information Handling

Category

Handling Method

Examples

Stable

Reference files first

isHnsEnabled: true, PE triple set

Dynamic

Always fetch MS Docs

API version, model availability, SKU, region

Quick Reference

File

Role

references/phase0-scanner.md

Existing resource scan + relationship inference + diagram

references/phase1-advisor.md

Interactive architecture design + fact checking

references/bicep-generator.md

Bicep code generation rules

references/bicep-reviewer.md

Code review checklist

references/phase4-deployer.md

validate → what-if → deploy

references/service-gotchas.md

Required properties, PE mappings

references/azure-dynamic-sources.md

MS Docs URL registry

references/azure-common-patterns.md

PE/security/naming patterns

references/ai-data.md

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