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/azure-app-onboard

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End-to-end orchestrator: from a business idea, app idea, or existing app to running Azure deployment with cost estimates and pre-deploy approval. Analyzes your app, auto-detects the right Azure services, scaffolds infrastructure code, and deploys — tailored to your app, not a template. Handles moving existing apps to Azure without rewriting or with minimal changes. WHEN: bring your app to Azure, plan my app, cost to run, is my code ready to deploy, deploy my app to the cloud, deploy all my services, what Azure services do I need, plan my Azure deployment, deploy my new app to Azure, one-click deploy, I have an app and want it on Azure, migrate my app to Azure, help me get started, build an app, no code yet, starter project. DO NOT USE FOR: use azd for deployment(use azure-deploy), optimizing existing costs (use cost-optimization), code readiness checks only (use azure-app-onboard-prereq).

Use this Skill: https://skilld.dev/gh/microsoft/github-copilot-for-azure/azure-app-onboard

This session only. Nothing lands on disk.

preparereferencesvalidation-rubric.md

≈588 tokens on demand. Your agent reads this file only when SKILL.md points to it.

Validation Rubric

Run all 4 dimensions before writing prepare-plan.json. All must pass — a failure in any dimension triggers the Error Handling procedures.

Dimensions

Dimension Pass Criteria
Goal Alignment Every context.json.intent field reflected in service/SKU choice. No orphaned services (every service maps to a component or supporting role). overrides[] honored.
WAF Alignment Cost: SKU matches budget; alternatives document cost tradeoffs. Reliability: Production plans include zone-redundant SKUs, GRS storage. Security: Managed identity + Key Vault; private endpoints where budget allows. Ops: Log Analytics + App Insights included. Performance: SKU right-sized to scale — no over/under-provisioning. See Azure WAF Service Guides for per-service alignment.
Dependency Completeness Every service has its dependencies present (Container Apps → Log Analytics; SQL → Key Vault for connection strings; App Service → App Insights for monitoring; all services → Managed Identity for auth). Cross-service references consistent (App Insights → Log Analytics workspace).
Deployment Viability SKUs exist in target region (validated by quota/region check). No policy-blocked resources. Resource names conform to Azure naming rules. Quota sufficient or flagged with remediation. No conflicting configs (free-tier SKU with paid-only features).

Applying

  • During plan creation (steps 3–7): Use Goal Alignment and WAF Alignment as selection criteria. Use Dependency Completeness as cross-check after mapping.
  • Before writing (step 10): Run all 4 as validation pass. Deployment Viability catches issues that surface after quota/naming.
  • On failure: Fix inline via the Error Handling procedures. Document tradeoffs (e.g., WAF Reliability vs cost-optimized budget) in assumptions[].

References

Source: SKILL.md on GitHub

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  • Gen Agent Trust Hub22d

    This skill includes some security considerations such as the processing of untrusted project files to generate deployment scripts and the dynamic generation of infrastructure code. While these warrant review, they are used within the skill's intended functionality to automate Azure onboarding. See detailed analysis for context.

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    Risk: LOW · No issues

Signed by skilld at cda1f27. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub yesterday.

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metadata
{
  "author": "Microsoft",
  "version": "0.0.0-placeholder"
}

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