Azure Validate

OrganizationPopular

microsoft

azure-validate

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.

Overview

Publisher	microsoft
Repository	`azure-skills`
Skill name	`azure-validate`
Stars	1.5K
Forks	246
Bundled files	21
License	MIT
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
21 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by microsoft on GitHub. Read the source before you install it.

Installation

Install the Azure Validate AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/microsoft/azure-skills.git /tmp/azure-skills
mkdir -p .claude/skills
cp -r /tmp/azure-skills/skills/azure-validate .claude/skills/azure-validate

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Azure Validate in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Azure Validate on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Azure Validate is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Azure Validate

AUTHORITATIVE GUIDANCE — Follow these instructions exactly unless they contradict security policies given to you.

⛔ STOP — PREREQUISITE CHECK REQUIRED

Before proceeding, verify this prerequisite is met:

azure-prepare was invoked and completed → .azure/deployment-plan.md exists with status Approved or later

If 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

Run the workflow script and follow its instructions. It walks you through each validation step one at a time, recording progress in .azure/validate-status.json. Use references/scripts/workflow.ps1 on Windows or references/scripts/workflow.sh on macOS/Linux.

Start by calling the script without the completed-step argument:

bash
pwsh references/scripts/workflow.ps1 -WorkspacePath <workspace-path>
# macOS/Linux: bash references/scripts/workflow.sh --workspace-path <workspace-path>

Each run prints the next action and the value to pass next. Perform the action, then re-run with that value (-CompletedStep <value> for pwsh, --completed-step <value> for bash). Repeat until it reports the azure-validate workflow is complete.

The steps reference recipe details in references/recipes/README.md and role checks in references/role-verification.md.

⛔ VALIDATION AUTHORITY

This skill is the officially verified way to set plan status to Validated. You MUST follow the script's instructions to completion before setting status to Validated. Do NOT set status to Validated without doing so.

⚠️ NEXT STEP — DEPENDS ON USER INTENT

After ALL validations pass, check whether the user asked to deploy:

If the user explicitly requested deployment, you MUST invoke azure-deploy to execute it. Do NOT run azd up, azd deploy, or any deployment commands directly — let azure-deploy handle execution.

If the user only asked to validate or prepare (not deploy), STOP after recording proof and setting status to Validated. Report the validation results and do NOT invoke azure-deploy.

If any validation failed, fix the issues and re-run azure-validate before proceeding.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Azure Validate AI skill do?

Why use Azure Validate on TypingMind?

Because you install it once and use it with any model. Azure Validate is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Azure Validate in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/microsoft/azure-skills/tree/main/skills/azure-validate. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Azure Validate?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Azure Validate?

As many as you like. As long as a model supports skills, you can use Azure Validate with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Azure Validate AI skill free?

Yes. It is published on GitHub by microsoft under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Azure Validate

Triggers

Rules

Steps

Bundled files

Frequently asked questions

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