Prepare Azure applications for deployment with infrastructure-as-code, configuration, and containerization.
Automate repetitive workflows and reduce manual effort
Example: Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
Example: Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example: Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Time estimate: 15-45 minutes depending on use case complexity
Prerequisites
Submit your Claude Code skill and start earning
epx add microsoft/GitHub-Copilot-for-Azure --skill azure-prepareCompatible with
Supported agents
Generates Bicep or Terraform infrastructure code, azure.yaml configuration, and Dockerfiles based on application type and requirements
Follows mandatory plan-first workflow: analyze workspace, gather requirements, select deployment recipe (AZD, AZCLI, Bicep, or Terraform), design architecture, and get user approval before code generation
Supports creation, modernization, and up
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionazure-prepareExecute the skills CLI command in your project's root directory to begin installation:
epx add microsoft/GitHub-Copilot-for-Azure --skill azure-prepareFetches azure-prepare from microsoft/GitHub-Copilot-for-Azure and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
.cursor/skills/azure-prepare
Restart Cursor to activate azure-prepare. Access via /azure-preparein your agent's command palette.
Learn more:View source on GitHubSkills CLI docsAbout CursorWhat are agent skills?
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
azure-cloud-migrate
microsoft/GitHub-Copilot-for-Azure · Cloud · same repo
azure-rbac
microsoft/GitHub-Copilot-for-Azure · Cloud · same repo
azure-diagrams
eraserlabs/eraser-io · Cloud · tag: azure
azure-ai
microsoft/azure-skills · Cloud · tag: azure
azure-aigateway
microsoft/azure-skills · Cloud · tag: azure
modal
K-Dense Inc./modal · devops · tag: cloud
azure-prepare has been reliable in day-to-day use. Documentation quality is above average for community skills.
Useful defaults in azure-prepare — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Solid pick for teams standardizing on skills: azure-prepare is focused, and the summary matches what you get after install.
I recommend azure-prepare for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
We added azure-prepare from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
azure-prepare reduced setup friction for our internal harness; good balance of opinion and flexibility.
azure-prepare fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
We added azure-prepare from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
I recommend azure-prepare for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Solid pick for teams standardizing on skills: azure-prepare is focused, and the summary matches what you get after install.
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