MR
Mayur Rathi
@github
⭐ 34.1k GitHub stars

Azure-Developer-Cli

Azure-Developer-Cli is an design AI skill with a core value of Design, create, review, migrate, or troubleshoot Azure Developer CLI (azd) projects using current Microsoft guidance. It helps developers solve real-world problems in the design domain, boosting efficiency, automating repetitive tasks, and optimizing workflows.

Design, create, review, migrate, or troubleshoot Azure Developer CLI (azd) projects using current Microsoft guidance. Use for azd, azure.yaml, AZD templates, Bicep or Terraform under infra, AZD enviro

Last verified on: 2026-10-06

Quick Facts

Category design
Works With GitHub Copilot, Claude
Source github/awesome-copilot
Stars ⭐ 34.1k
Last Verified 2026-10-06
Risk Level Low
mkdir -p ./skills/azure-developer-cli && curl -sfL https://raw.githubusercontent.com/github/awesome-copilot/main/skills/azure-developer-cli/SKILL.md -o ./skills/azure-developer-cli/SKILL.md

Run in terminal / PowerShell. Requires curl (Unix) or PowerShell 5+ (Windows).

Skill Content

# Azure Developer CLI best practices


Use this skill to produce maintainable, secure, environment-aware `azd` projects. Prefer repository conventions when they are already coherent, and make the smallest complete change that improves the project.


Start with repository discovery


Before editing:


1. Find `azure.yaml`, the configured `infra.path`, source projects, deployment scripts, `.gitignore`, and pipeline definitions.

2. Read `azure.yaml` before inferring services or the IaC provider.

3. Identify whether the task is to create, migrate, review, deploy, or troubleshoot.

4. Identify the active environment only when an environment-specific operation is required.

5. Read the relevant reference:

- Repository layout or `azure.yaml`: [references/project-structure.md](references/project-structure.md)

- Bicep, Terraform, parameters, outputs, or environments: [references/iac-and-environments.md](references/iac-and-environments.md)

- Secrets, hooks, CI/CD, deployment, or troubleshooting: [references/security-cicd-operations.md](references/security-cicd-operations.md)

- Product details that may have changed: [references/official-docs.md](references/official-docs.md)


Do not assume the default `infra` path, the default Bicep provider, or a single service when `azure.yaml` says otherwise.


Apply safety guardrails


- Never commit `.azure`, environment `.env` files, credentials, deployment outputs containing secrets, local Terraform state, or generated deployment artifacts.

- Never put literal secrets in `azure.yaml`, IaC parameter files, hooks, source control, command arguments that will be logged, or IaC outputs.

- Prefer managed identities and RBAC. Use Key Vault references and `azd env set-secret` when a secret is unavoidable.

- Before a command that can create, modify, or delete Azure resources, confirm the target environment, subscription, tenant, region, and expected scope.

- Treat an explicit user request to deploy, provision, destroy, or configure a pipeline as approval for that named action. Otherwise, ask before running `azd up`, `azd provision`, `azd deploy`, `azd down`, or `azd pipeline config`.

- Do not replace Bicep with Terraform, Terraform with Bicep, or an established hosting service unless the user requests that architectural change.

- Preserve resources and state owned outside the current `azd` project.


Use these defaults


| Concern | Preferred default |

| --- | --- |

| Project manifest | One `azure.yaml` at the repository root |

| Application code | `src/<service-name>` per independently deployable service |

| Infrastructure | `infra` with a thin entry point and reusable modules |

| IaC provider | Bicep unless the repository or user chooses Terraform |

| Deployment environments | Separate named environments for dev, test, staging, and production |

| Local AZD state | `.azure/<environment-name>` and excluded from source control |

| Shared environment state | AZD remote environments backed by Azure Blob Storage |

| Secrets | Managed identity/RBAC first, then Key Vault references |

| Automation scripts | Short, idempotent scripts under `scripts/azd` |

| CI authentication | Workload identity federation/OIDC where supported |

| Routine development | `azd up` for simple workflows; separate phases for controlled workflows |


Implementation workflow


1. Model the application


- Define one `services` entry for each independently deployable component.

- Keep service keys stable because they participate in resource discovery and deployment.

- Map each service to its actual `project`, `language`, and `host`.

- Keep shared infrastructure in IaC rather than inventing a fake deployable service.

- Declare dependencies with supported `azure.yaml` fields instead of relying on file order.


2. Model infrastructure


- Keep `main.bicep` or `main.tf` as the orchestration entry point.

- Split reusable or independently understandable infrastructure into modules.

- Parameterize environment-specific values; do no

🎯 Best For

  • Engineering teams doing code reviews
  • Open source maintainers
  • UI designers
  • Product designers
  • GitHub Copilot users

💡 Use Cases

  • Reviewing pull requests for security vulnerabilities
  • Checking code style consistency
  • Generating component mockups
  • Creating design system tokens

📖 How to Use This Skill

  1. 1

    Install the Skill

    Copy the install command from the Terminal tab and run it. The SKILL.md file downloads to your local skills directory.

  2. 2

    Load into Your AI Assistant

    Open GitHub Copilot or Claude and reference the skill. Paste the SKILL.md content or use the system prompt tab.

  3. 3

    Apply Azure-Developer-Cli to Your Work

    Provide context for your task — paste source material, describe your audience, or share existing work to guide the AI.

  4. 4

    Review and Refine

    Edit the AI output for accuracy, tone, and completeness. Add human insight where the AI lacks context.

❓ Frequently Asked Questions

Does this skill check for OWASP Top 10?

Security-focused review skills often include OWASP checks. Check the skill content for specific vulnerability categories covered.

Does this work with Figma?

Some design skills integrate with Figma plugins. Check the Works With section for supported tools.

Does Azure-Developer-Cli generate production-ready design specs?

It generates detailed specifications that developers can use directly. Review and adjust for your specific design system.

How do I install Azure-Developer-Cli?

Copy the install command from the Terminal tab and run it. The skill downloads to ./skills/azure-developer-cli/SKILL.md, ready to use.

Can I customize this skill for my team?

Absolutely. Edit the SKILL.md file to add team-specific instructions, examples, or workflows.

⚠️ Common Mistakes to Avoid

Blindly accepting AI suggestions

Always verify AI-generated review comments. Some suggestions may not apply to your specific codebase conventions.

Skipping usability testing

AI-generated designs should be validated with real users before development.

Not reading the full skill

Skills contain important context and edge cases beyond the quick start.

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