Agent skill

azure-enterprise-infra-planner

Quellcode ansehen: microsoft/azure-skills

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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

So verwenden Sie diesen Skill

  1. 1

    Install azure-enterprise-infra-planner by running npx skills add microsoft/azure-skills --skill azure-enterprise-infra-planner in your project directory. Führen Sie den obigen Installationsbefehl in Ihrem Projektverzeichnis aus. Die Skill-Datei wird von GitHub heruntergeladen und in Ihrem Projekt platziert.

  2. 2

    Keine Konfiguration erforderlich. Ihr KI-Agent (Claude Code, Cursor, Windsurf usw.) erkennt installierte Skills automatisch und nutzt sie als Kontext bei der Code-Generierung.

  3. 3

    Der Skill verbessert das Verständnis Ihres Agenten für azure-enterprise-infra-planner, und hilft ihm, etablierte Muster zu befolgen, häufige Fehler zu vermeiden und produktionsreifen Code zu erzeugen.

Was Sie erhalten

Skills sind Klartext-Anweisungsdateien — kein ausführbarer Code. Sie kodieren Expertenwissen über Frameworks, Sprachen oder Tools, das Ihr KI-Agent liest, um seine Ausgabe zu verbessern. Das bedeutet null Laufzeit-Overhead, keine Abhängigkeitskonflikte und volle Transparenz: Sie können jede Anweisung vor der Installation lesen und prüfen.

Kompatibilität

Dieser Skill funktioniert mit jedem KI-Coding-Agenten, der das skills.sh-Format unterstützt, einschließlich Claude Code (Anthropic), Cursor, Windsurf, Cline, Aider und anderen Tools, die projektbezogene Kontextdateien lesen. Skills sind auf Transportebene framework-agnostisch — der Inhalt bestimmt, für welche Sprache oder welches Framework er gilt.

Data sourced from the skills.sh registry and GitHub. Install counts and security audits are updated regularly.