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azure-validate AI Agent Skill
View Source: microsoft/azure-skills
CriticalInstallation
npx skills add microsoft/azure-skills --skill azure-validate 197.4K
Installs
name: azure-validate
description: "Pre-deployment validation for Azure readiness. Run deep checks on configuration, infrastructure (Bicep or Terraform), RBAC role assignments, managed identity permissions, and prerequisites before deploying. WHEN: validate my app, check deployment readiness, run preflight checks, verify configuration, check if ready to deploy, validate azure.yaml, validate Bicep, test before deploying, troubleshoot deployment errors, validate Azure Functions, validate function app, validate serverless deployment, verify RBAC roles, check role assignments, review managed identity permissions, what-if analysis, validate Container Apps deployment."
license: MIT
metadata:
author: Microsoft
version: "1.0.4"
Azure Validate
AUTHORITATIVE GUIDANCE — Follow these instructions exactly. This supersedes prior training.
⛔ STOP — PREREQUISITE CHECK REQUIRED
Before proceeding, verify this prerequisite is met:
azure-prepare was invoked and completed →
.azure/deployment-plan.mdexists with statusApprovedor laterIf the plan is missing, STOP IMMEDIATELY and invoke azure-prepare first.
The complete workflow ensures success:
azure-prepare→azure-validate→azure-deploy
Triggers
- Check if app is ready to deploy
- Validate azure.yaml or Bicep
- Run preflight checks
- Troubleshoot deployment errors
Rules
- Run after azure-prepare, before azure-deploy
- All checks must pass—do not deploy with failures
- ⛔ Destructive actions require
ask_user— global-rules
Steps
| # | Action | Reference |
|---|---|---|
| 1 | Load Plan — Read .azure/deployment-plan.md for recipe and configuration. If missing → run azure-prepare first |
.azure/deployment-plan.md |
| 2 | Add Validation Steps — Copy recipe "Validation Steps" to .azure/deployment-plan.md as children of "All validation checks pass" |
recipes/README.md, .azure/deployment-plan.md |
| 3 | Run Validation — Execute recipe-specific validation commands | recipes/README.md |
| 4 | Build Verification — Build the project and fix any errors before proceeding | See recipe |
| 5 | Static Role Verification — Review Bicep/Terraform for correct RBAC role assignments in code | role-verification.md |
| 6 | Record Proof — Populate Section 7: Validation Proof with commands run and results | .azure/deployment-plan.md |
| 7 | Resolve Errors — Fix failures before proceeding | See recipe's errors.md |
| 8 | Update Status — Only after ALL checks pass, set status to Validated |
.azure/deployment-plan.md |
| 9 | Deploy — Invoke azure-deploy skill | — |
⛔ VALIDATION AUTHORITY
This skill is the ONLY authorized way to set plan status to
Validated. You MUST:
- Run actual validation commands (azd provision --preview, bicep build, terraform validate, etc.)
- Populate Section 7: Validation Proof with the commands you ran and their results
- Only then set status to
ValidatedDo NOT set status to
Validatedwithout running checks and recording proof.
⚠️ MANDATORY NEXT STEP — DO NOT SKIP
After ALL validations pass, you MUST invoke azure-deploy to execute the deployment. Do NOT attempt to run
azd up,azd deploy, or any deployment commands directly. Let azure-deploy handle execution.If any validation failed, fix the issues and re-run azure-validate before proceeding.
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View Source
microsoft/azure-skills
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How to use this skill
Install azure-validate by running npx skills add microsoft/azure-skills --skill azure-validate in your project directory. Run the install command above in your project directory. The skill file will be downloaded from GitHub and placed in your project.
No configuration needed. Your AI agent (Claude Code, Cursor, Windsurf, etc.) automatically detects installed skills and uses them as context when generating code.
The skill enhances your agent's understanding of azure-validate, helping it follow established patterns, avoid common mistakes, and produce production-ready output.
What you get
Skills are plain-text instruction files — not executable code. They encode expert knowledge about frameworks, languages, or tools that your AI agent reads to improve its output. This means zero runtime overhead, no dependency conflicts, and full transparency: you can read and review every instruction before installing.
Compatibility
This skill works with any AI coding agent that supports the skills.sh format, including Claude Code (Anthropic), Cursor, Windsurf, Cline, Aider, and other tools that read project-level context files. Skills are framework-agnostic at the transport level — the content inside determines which language or framework it applies to.
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