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Prepare azd-based Azure projects for deployment: generates azure.yaml, infrastructure (Bicep/Terraform), and Dockerfiles for the Azure Developer CLI (azd) workflow. USE ONLY when the user explicitly wants to use azd as the deployment tool, or the project already has an azure.yaml file. DO NOT USE FOR: non-azd deployments, Python App Service code-only deploys (use python-appservice-deploy), or cross-cloud migration (use azure-cloud-migrate). WHEN: prepare app for azd, create azure.yaml, set up azd infrastructure, modernize app for Azure with azd, deploy with azd, function app, timer trigger, service bus trigger, event-driven function, managed identity, generate Bicep, generate Terraform, create and deploy to Azure.

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

This session only. Nothing lands on disk.

referencesservicescosmos-dbREADME.md

≈379 tokens on demand. Your agent reads this file only when SKILL.md points to it.

Azure Cosmos DB

Globally distributed, multi-model database for low-latency data at scale.

When to Use

  • Global distribution requirements
  • Multi-model data (document, graph, key-value)
  • Variable and unpredictable throughput
  • Low-latency reads/writes at scale
  • Flexible schema requirements

Required Supporting Resources

Resource Purpose
None required Cosmos DB is fully managed
Key Vault Store connection strings (recommended)

Capacity Modes

Mode Use Case Billing
Serverless Variable/low traffic, dev/test Per request
Provisioned Predictable workloads Per RU/s
Autoscale Variable but predictable peaks Per max RU/s

Consistency Levels

Level Latency Consistency
Strong Highest Linearizable
Bounded Staleness High Bounded
Session Medium Session-scoped
Consistent Prefix Low Prefix ordering
Eventual Lowest Eventually consistent

Recommendation: Use Session for most applications.

Environment Variables

Variable Value
COSMOS_CONNECTION_STRING Primary connection string (Key Vault reference)
COSMOS_ENDPOINT Account endpoint URL
COSMOS_DATABASE Database name

References

Source: SKILL.md on GitHub

1 alert8d4 checks · Risk SAFE
  • Gen Agent Trust Hub8d

    The azure-prepare skill provides a comprehensive environment for preparing Azure applications for deployment. It focuses on generating infrastructure-as-code and deployment configuration while strictly enforcing security best practices like managed identity usage and secret management via Key Vault. No malicious patterns or security risks were identified.

  • Socket8d

    5 alerts: gptAnomaly, gptSecurity

  • Snyk8d

    Risk: LOW · No issues

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    68/196 files flagged

Signed by skilld at 7995851. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub yesterday.

Activeupdated 3 weeks ago
metadata
{
  "author": "Microsoft",
  "version": "0.0.0-placeholder"
}
  • Infrastructure
  • azure
  • bicep
  • terraform
  • deployment
  • docker
  • functions
  • app-service

README badge

README badge for microsoft/github-copilot-for-azure/azure-prepare

Prepares Azure applications for deployment by generating infrastructure templates (Bicep or Terraform), azure.yaml configuration, and Dockerfiles. Covers new app creation, modernization, and hosting on App Service, Container Apps, or Functions—but excludes Python App Service deployments, copilot SDK apps, and cross-cloud migrations which have dedicated skills.

Generated from the current SKILL.md.

Does this skill handle Python App Service deployments?
No. Use the python-appservice-deploy skill instead for Python code-only App Service deploys.
Can I use this skill for cross-cloud migration?
No. This skill is for Azure-native preparation. Use azure-cloud-migrate for migrations from AWS, GCP, or other clouds.
Does this skill support Copilot SDK apps?
No. Use azure-hosted-copilot-sdk for apps with @github/copilot-sdk or CopilotClient.
What infrastructure templates does this skill support?
Azure Developer CLI (azd), Bicep, Terraform, and Azure CLI. The skill creates infrastructure code, Dockerfiles, and configuration files—actual deployment execution is handled by the azure-deploy skill.
Does this skill delete existing project files?
No. When adding features to existing projects, it modifies files rather than deletes them. It never removes the project or workspace directory itself.

Generated from the current SKILL.md. These answers refresh after source changes.