Azure Enterprise Infra Planner
MicrosoftOfficialCreated by Microsoft
- Skill
- Workflow
- Cloud and DevOps
- MIT
- No issues found
AutoGineer summary
Written by AutoGineer from the skill’s own files, not by the author
This skill guides users through a 7-phase pipeline to design and deploy Azure infrastructure. It processes workload descriptions to generate Bicep or Terraform code, supporting both greenfield deployments and additive updates to existing environments. The process includes research, planning, user approval, and automated validation using security and syntax checks before deployment.
What it does
- Extracts insights from workload descriptions to inform infrastructure planning.
- Researches Azure best practices and service-specific documentation.
- Generates infrastructure plans and corresponding Bicep or Terraform code.
- Validates generated IaC using syntax checks and security scanning tools.
- Supports additive deployments for existing environments without modifying referenced resources.
- Manages multi-resource topologies including networking, identity, and compliance configurations.
When to use it
- When planning Azure infrastructure from a workload or architecture description.
- When designing hub-spoke networks, landing zones, or multi-region topologies.
- When setting up networking components like VNets, firewalls, and private endpoints.
- When generating subscription-scope or multi-resource-group infrastructure code.
Advantages
- Follows a structured, gated pipeline to ensure plan approval and code validation.
- Integrates security scanning and syntax validation into the generation workflow.
- Provides support for referencing existing resources to avoid accidental recreation.
- Utilizes specific Azure schema data to ensure accurate resource definitions.
Usage examples
- “Plan Azure infrastructure for a hub-spoke network with firewalls.”
- The agent initiates the 7-phase pipeline, researching networking best practices and generating the corresponding IaC for the requested topology.
- “Architect an Azure landing zone.”
- The agent guides the user through requirements extraction and resource planning, resulting in a structured infrastructure plan and Bicep or Terraform files.
Install
Download the skill as a ZIP:
https://autogineer.com/agent-skills/microsoft/azure-enterprise-infra-planner/downloadUnzip it into the cross-client skills folder of your project:
mkdir -p .agents/skills && unzip azure-enterprise-infra-planner.zip -d .agents/skills
Documentation by Microsoft
Azure Enterprise Infra Planner
When to Use This Skill
Activate this skill when user wants to:
Plan enterprise Azure infrastructure from a workload or architecture description
Architect a landing zone, hub-spoke network, or multi-region topology
Design networking infrastructure: VNets, subnets, firewalls, private endpoints, VPN gateways
Plan identity, RBAC, and compliance-driven infrastructure
Generate Bicep or Terraform for subscription-scope or multi-resource-group deployments
Plan disaster recovery, failover, or cross-region high-availability topologies
Quick Reference
| Property | Details |
|---|---|
| MCP tools | insights_get, get_azure_bestpractices_get, wellarchitectedframework_serviceguide_get, microsoft_docs_fetch, microsoft_docs_search, bicepschema_get |
| CLI commands | az deployment group create, az bicep build, az resource list, terraform init, terraform plan, terraform validate, terraform apply, checkov |
| Output schema | schema.md |
| Key references | workflow.md, waf-checklist.md, resources/, constraints/ |
Workflow (Start Here)
Follow the step-by-step instructions in workflow.md to execute the 7 phases of infrastructure planning and provisioning.
Architecture
The skill runs a 7-phase, gated pipeline. Input is triaged into one of two flows:
Greenfield — only new requirements; run the phases straight through.
Referenced (brownfield) — the user supplies something that already exists (a live resource / resource group / subscription, IaC or an infra plan, or a requirements doc). The same phases run, plus referenced-workload.md: existing resources are inventoried and referenced (never recreated), the new workload is wired into them, and Phase 7 deploys additively (incremental only — never modifying or destroying the referenced resources).
Every phase advances only after its gate passes. Phase 5 requires explicit user approval; Phase 6 is a
hardened, self-verifying gate — the generated IaC must be secure-by-default, pass local validation
(az bicep build / terraform validate) with zero errors, pass a checkov security scan with no
unresolved high/critical findings, and the skill must show the command output and emit a completion
self-check before advancing; Phase 7 requires an explicit, risk-acknowledged deploy confirmation.
flowchart TD
IN([Input]) --> TRIAGE{Existing infra<br/>referenced?}
TRIAGE -- "No (greenfield)" --> P1
TRIAGE -- "Yes (referenced)" --> RW[/referenced-workload.md:<br/>inventory + assign roles<br/>reference, never recreate/]
RW --> P1
subgraph PIPE [7-phase gated pipeline]
direction TB
P1[Phase 1 · Extract insights] --> P2[Phase 2 · Research best practices]
P2 --> P3[Phase 3 · Research resources]
P3 --> P4[Phase 4 · Generate plan]
P4 --> P5{Phase 5 · Verify<br/>user approves?}
P5 -- "no" --> P4
P5 -- "approved" --> P6[Phase 6 · Generate IaC]
P6 --> VAL{Validate<br/>az bicep build /<br/>terraform validate}
VAL -- "errors" --> P6
VAL -- "clean" --> P7{Phase 7 · Deploy<br/>risk-ack confirm?}
end
P7 -- "greenfield" --> DEP[az deployment / terraform apply]
P7 -- "referenced" --> DEPADD[Additive deploy · incremental only<br/>what-if preview · no destroy of<br/>referenced resources]
DEP --> OUT([Deployed])
DEPADD --> OUT
classDef gate fill:#fff3cd,stroke:#d39e00,color:#000;
classDef ref fill:#e2f0d9,stroke:#548235,color:#000;
class P5,VAL,P7,TRIAGE gate;
class RW,DEPADD ref;Artifacts (written under <project-root>/): .azure/insights.json (Phase 1),
.azure/infrastructure-plan.json (Phase 4, status draft→approved→deployed), and
infra/main.bicep + infra/modules/* or infra/main.tf + infra/modules/** (Phase 6).
MCP Tools
| Tool | Purpose |
|---|---|
insights_get | Retrieve insights about the user's existing Azure environment to guide planning decisions |
get_azure_bestpractices_get | Azure best practices for code generation, operations, and deployment |
wellarchitectedframework_serviceguide_get | WAF service guide for a specific Azure service |
microsoft_docs_search | Search Microsoft Learn for relevant documentation chunks |
microsoft_docs_fetch | Fetch full content of a Microsoft Learn page by URL |
bicepschema_get | Bicep schema definition for any Azure resource type (latest API version) |
Error Handling
| Error | Cause | Fix |
|---|---|---|
| MCP tool error or not available | Tool call timeout, connection error, or tool doesn't exist | Retry once; fall back to reference files and notify user if unresolved |
| Plan approval missing | meta.status is not approved | Stop and prompt user for approval before IaC generation or deployment |
| IaC validation failure | az bicep build or terraform validate returns errors | Fix the generated code and re-validate; notify user if unresolved |
| Pairing constraint violation | Incompatible SKU or resource combination | Fix in plan before proceeding to IaC generation |
| Infra plan or IaC files not found | Files written to wrong location or not created | Verify files exist at <project-root>/.azure/ and <project-root>/infra/; if missing, re-create the files by following workflow.md exactly |
Files
- ATTRIBUTION.mdAdded by AutoGineer1022 B
- LICENSELicence file added by AutoGineer1.1 KiB
- SKILL.md6.2 KiB
- references/bicep-generation.md5.1 KiB
- references/constraints/README.md1.2 KiB
- references/constraints/ai-ml.md3.2 KiB
- references/constraints/compute-apps.md7.8 KiB
- references/constraints/compute-infra.md4.5 KiB
- references/constraints/data-analytics.md6.3 KiB
- references/constraints/data-relational.md4.9 KiB
- references/constraints/messaging.md2.5 KiB
- references/constraints/monitoring.md1.7 KiB
- references/constraints/networking-connectivity.md6.1 KiB
- references/constraints/networking-core.md7.0 KiB
- references/constraints/networking-traffic.md4.6 KiB
- references/constraints/security.md2.4 KiB
- references/deployment.md3.7 KiB
- references/pairing-checks.md3.7 KiB
- references/phases/1-extract-insights.md2.6 KiB
- references/phases/2-research-best-practices.md2.8 KiB
- references/phases/3-research-resources.md3.3 KiB
- references/phases/4-generate-plan.md792 B
- references/phases/5-verify.md814 B
- references/phases/6-generate-iac.md2.5 KiB
- references/phases/7-deploy.md1.3 KiB
- references/referenced-workload.md7.3 KiB
- references/resources/README.md1.6 KiB
- references/resources/ai-ml.md2.1 KiB
- references/resources/compute-apps.md4.0 KiB
- references/resources/compute-infra.md2.8 KiB
- references/resources/data-analytics.md3.0 KiB
- references/resources/data-relational.md2.6 KiB
- references/resources/messaging.md2.0 KiB
- references/resources/monitoring.md1.5 KiB
- references/resources/networking-connectivity.md3.6 KiB
- references/resources/networking-core.md4.3 KiB
- references/resources/networking-traffic.md2.6 KiB
- references/resources/security.md1.5 KiB
- references/schema.md3.8 KiB
- references/terraform-generation.md4.4 KiB
- references/verification.md2.6 KiB
- references/waf-checklist.md1.9 KiB
- references/workflow.md4.9 KiB
references/bicep-generation.md
Bicep Generation
Generate Bicep IaC files from the approved infrastructure plan.
Important: All Bicep files must be created under
<project-root>/infra/. Never place.bicepfiles in the project root or in.azure/.
File Structure
Generate files under <project-root>/infra/:
infra/
├── main.bicep # Orchestrator — deploys all modules
├── main.bicepparam # Parameter values
└── modules/
├── storage.bicep # One module per resource or logical group
├── compute.bicep
├── networking.bicep
└── monitoring.bicepGeneration Steps
Create
infra/directory — create<project-root>/infra/and<project-root>/infra/modules/directories. All files in subsequent steps go here.Read plan — load
<project-root>/.azure/infrastructure-plan.json, verifymeta.status === "approved"Fetch Bicep schemas — for each resource in the plan, use a sub-agent to call
bicepschema_getwithresource-typeset to the ARM type from the relevant resources/ category file (e.g.,Microsoft.ContainerService/managedClusters). Instruct the sub-agent: "Return the full property structure for {ARM type}: required properties, allowed values, child resources. ≤500 tokens." Use this output — not training data — to generate correct resource definitions.
The schema tool returns only the schema for the exact type requested. Sub-resource types (e.g.,
Microsoft.Network/virtualNetworks/subnets) return a smaller, focused schema but miss parent-level properties (e.g., VNetencryptionlives on the parent, not the subnet sub-resource). Strategy:
Start with sub-resource types when validating child resources — smaller responses (~25KB vs ~95KB), easier to summarize
Fetch the parent type separately when you need parent-level properties (encryption, tags, SKU) — delegate to a sub-agent with specific property extraction instructions to manage the large response
Generate modules — group resources by category; one
.bicepfile per group underinfra/modules/. Use the schema from step 3 for property names, allowed values, and required fields.Generate main.bicep — write
infra/main.bicepthat imports all modules and passes parametersGenerate parameters — create
infra/main.bicepparamwith environment-specific values
Bicep Conventions
Use
@description()decorators on all parametersUse
@secure()for secrets and connection stringsChoose
targetScopeinmain.bicepbased on the deployment plan:For single resource group deployments, set
targetScope = 'resourceGroup'and deploy withaz deployment group create.For subscription-scope deployments (for example, resources across multiple resource groups or subscription-level resources), set
targetScope = 'subscription'and deploy withaz deployment sub create.
Use
existingkeyword for referencing pre-existing resourcesOutput resource IDs and endpoints needed by other resources
Use
dependsOnonly when implicit dependencies are insufficient
Parameter File Format
using './main.bicep'
param location = 'eastus'
param environmentName = 'prod'
param workloadName = 'datapipeline'Multi-Environment
For multi-environment plans, generate one parameter file per environment:
infra/
├── main.bicep
├── main.dev.bicepparam
├── main.staging.bicepparam
└── main.prod.bicepparamValidation Before Deployment
Run az bicep build --file infra/main.bicep to validate syntax before deploying.
Correctness Checklist (must pass az bicep build with zero errors)
Generate against these rules, then run az bicep build and fix in-place until clean. These are the
failures that most often break validation:
No undeclared symbols. Every
param,var,resource, andmodulesymbol you reference is declared in the same file. Cross-file values flow only throughmoduleparams andoutputs.Cross-module outputs (BCP053). When one module consumes
moduleX.outputs.Y, that module MUST declareoutput Y .... Verify every consumed output exists on the producing module.existingreferences are complete. Referenced resources use theexistingkeyword with the correct type,name(andscope/parentwhere required); never emit a newresourcefor them.Required properties present. Use the schema fetched in step 3 — include every required property and use only allowed enum values and a valid, real
@apiVersionfor each type.Types match. Parameter/variable types match their usage; no string passed where an object/int is expected; array vs. single-object usage is consistent.
main.bicepparammatchesmain.bicep. Everyparamassigned in.bicepparamexists inmain.bicep; every required (non-defaulted) param is assigned;usingpoints at./main.bicep.targetScopematches the deploy command and anyresourceGroup()/subscription()usage.No secrets in output. Never
outputa secret; mark secret params@secure().
If az bicep build is unavailable, self-review every item above before presenting.
Requirements and compatibility
Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta
“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.
Security
No issues found by our static scan· No issues found
A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.
Attribution and licence
- Created by
- Microsoft
- Publisher
- Microsoft (Official)
- Source
- microsoft/skills · .github/plugins/azure-skills/skills/azure-enterprise-infra-planner · commit 0696600
- Licence
- MIT License (redistribution allowed)
- LICENSE (added by AutoGineer from .github/plugins/azure-skills/LICENSE)
- ATTRIBUTION.md (written by AutoGineer)
- Synced
- Also distributed in
- microsoft/azure-skills
AutoGineer is not affiliated with or endorsed by Microsoft or Microsoft.
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