Azure Architecture Autopilot
github/awesome-copilot
Designs Azure infrastructure from a natural-language description, or diagrams an existing resource group, then refines the design through conversation and deploys it with Bicep.
Generate deployment-ready Bicep templates and PowerShell scripts from an approved Draw.io Azure architecture diagram.
The automated check flagged lines worth reading first. See the safety section below.
$ npx skills add Azure/AZVerify --skill azv-diagram-to-bicep -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Azure/AZVerify azv-diagram-to-bicep --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/Azure/AZVerify.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.github/skills/azv-diagram-to-bicep .claude/skills/azv-diagram-to-bicep && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "azv-diagram-to-bicep" agent skill from https://github.com/Azure/AZVerify/tree/main/.github/skills/azv-diagram-to-bicep into .claude/skills/azv-diagram-to-bicep/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azv-diagram-to-bicep", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/Azure/AZVerify/tree/main/.github/skills/azv-diagram-to-bicepType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add Azure/AZVerify --skill azv-diagram-to-bicep -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Azure/AZVerify azv-diagram-to-bicep --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Azure/AZVerify.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.github/skills/azv-diagram-to-bicep .agents/skills/azv-diagram-to-bicep && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "azv-diagram-to-bicep" agent skill from https://github.com/Azure/AZVerify/tree/main/.github/skills/azv-diagram-to-bicep into .agents/skills/azv-diagram-to-bicep/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azv-diagram-to-bicep", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Azure/AZVerify --skill azv-diagram-to-bicep -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Azure/AZVerify azv-diagram-to-bicep --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Azure/AZVerify.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.github/skills/azv-diagram-to-bicep .cursor/skills/azv-diagram-to-bicep && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "azv-diagram-to-bicep" agent skill from https://github.com/Azure/AZVerify/tree/main/.github/skills/azv-diagram-to-bicep into .cursor/skills/azv-diagram-to-bicep/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azv-diagram-to-bicep", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/Azure/AZVerify.git --path .github/skills/azv-diagram-to-bicep--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add Azure/AZVerify --skill azv-diagram-to-bicep -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Azure/AZVerify azv-diagram-to-bicep --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Azure/AZVerify.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.github/skills/azv-diagram-to-bicep .gemini/skills/azv-diagram-to-bicep && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "azv-diagram-to-bicep" agent skill from https://github.com/Azure/AZVerify/tree/main/.github/skills/azv-diagram-to-bicep into .gemini/skills/azv-diagram-to-bicep/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azv-diagram-to-bicep", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install Azure/AZVerify azv-diagram-to-bicepInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add Azure/AZVerify --skill azv-diagram-to-bicep -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Azure/AZVerify.git skills-src && mkdir -p .github/skills && cp -r skills-src/.github/skills/azv-diagram-to-bicep .github/skills/azv-diagram-to-bicep && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "azv-diagram-to-bicep" agent skill from https://github.com/Azure/AZVerify/tree/main/.github/skills/azv-diagram-to-bicep into .github/skills/azv-diagram-to-bicep/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azv-diagram-to-bicep", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Azure/AZVerify --skill azv-diagram-to-bicep -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Azure/AZVerify azv-diagram-to-bicep --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Azure/AZVerify.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.github/skills/azv-diagram-to-bicep .opencode/skills/azv-diagram-to-bicep && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "azv-diagram-to-bicep" agent skill from https://github.com/Azure/AZVerify/tree/main/.github/skills/azv-diagram-to-bicep into .opencode/skills/azv-diagram-to-bicep/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azv-diagram-to-bicep", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
azv-diagram-to-bicepGenerate deployment-ready Bicep templates and PowerShell scripts from an approved Draw.io Azure architecture diagram.
Azv Diagram To Bicep is an agent skill from Azure/AZVerify, published by the product's own GitHub organization. Generate deployment-ready Bicep templates and PowerShell scripts from an approved Draw.io Azure architecture diagram. Parses the diagram, generates a user-editable .bicepparam file with descriptive comments, validates against Azure constraints, and outputs modular Bicep with deployment scripts.
Its SKILL.md is about 3.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in DevOps & Cloud, covering Infrastructure as code, Diagrams and Cloud architecture. It works with Bicep, Microsoft Azure, draw.io and GitHub. The licence is MIT.
6 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit d6a2b92. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
azFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use az, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Azv Diagram To Bicep loads about 3.1k tokens when it runs. Until then it costs about 79 tokens; SKILL.md has 1,080 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found patterns that need a careful read before installing.
y or hold them for a combined response. Do not wait for user confirmation — the `.bicepparam` file is the user-editableAutomated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from Azure/AZVerify at commit d6a2b92, republished under its MIT licence (© Azure). 1,080 words, ~3,061 tokens.
.claude/skills/azv-diagram-to-bicep/SKILL.md (or your agent's skills folder).Generate Bicep templates and PowerShell deployment scripts from a Draw.io Azure architecture diagram.
Input: A Draw.io diagram file (.drawio or .drawio.xml) in the workspace. The user can specify the file path, or the skill will look for .drawio files in the workspace.
Tools required: File system tools (read/write files), Bicep MCP server (for best-practice validation)
Reference files:
.github/skills/shared/azure-resource-model.md — Shared resource metadata model definition.github/skills/shared/azure-stencil-mapping.json — Azure resource type to Draw.io stencil mapping (used for reverse-lookup: image path → resource type).github/skills/shared/azure-resource-configs.md — Per-resource-type configuration schemas and auto-detection rules.github/skills/shared/data/azure-property-paths.json — Azure Property Retrieval Mapping (MCP tools, CLI fallbacks, ARM JSON paths, defaults).github/skills/shared/azure-deployment-verification.md — Pre-deployment verification rules (MUST run before presenting results)Shared procedures (MUST follow):
.github/skills/shared/bicep-best-practices.md — Bicep generation rules, defaults, and security settings (MUST read before generating Bicep).github/skills/shared/version-currency.md — Version verification rules (MUST verify before generating code).github/skills/shared/procedures/diagram-parsing.md — Diagram-to-resource-model parsing procedureIdentify the Draw.io diagram to process.
If the user specifies a file path:
.drawio or .drawio.xml fileIf no file is specified:
.drawio filesFollow the procedure in .github/skills/shared/procedures/diagram-parsing.md to parse the Draw.io XML into a structured resource model.
Display the parsed resource model as a table with columns: #, Resource, Type, Container, plus any connections.
Before generating new files, check if infrastructure already exists:
<diagram-name>.bicepparam in the same directory as the Draw.io fileGenerate and write each file to disk immediately as it is produced — do not accumulate file contents in memory or hold them for a combined response. Do not wait for user confirmation — the .bicepparam file is the user-editable configuration, and the user can modify it and redeploy at any time.
Critical — response verbosity rule: After writing each file, emit only a single confirmation line (e.g., ✓ Written: modules/networking.bicep). Do not echo file contents back into the response. This prevents hitting response length limits on complex diagrams.
Use the schemas defined in .github/skills/shared/azure-resource-configs.md for per-resource defaults and the rules in .github/skills/shared/bicep-best-practices.md for Bicep structure.
Output structure:
<solution-folder>/
├── main.bicep # Entry point — orchestrates all modules
├── <diagram-name>.bicepparam # User-editable parameter values with comments
└── modules/
├── networking.bicep # VNets, subnets, NSGs, peerings, private endpoints
├── compute.bicep # VMs, App Services, Container Apps
└── data.bicep # SQL, Cosmos DB, Storage, Key VaultBicep generation rules:
main.bicep:
targetScope = 'resourceGroup'@description() decorators explaining each setting@allowed() where a fixed set of values applies (e.g., environment names)@secure() (passwords, keys, connection strings)name field on module blocksModule files (networking.bicep, compute.bicep, data.bicep):
parent: property for child resources (e.g., subnets under VNet) — never / in nameexisting resource blocks when referencing a parent not declared in the same filefoo.id) instead of resourceId()httpsOnly: true, minimumTlsVersion: '1.2', publicNetworkAccess: 'Disabled' where private endpoints existarray/object where appropriate<diagram-name>.bicepparam:
using 'main.bicep'readEnvironmentVariable() for sensitive values (passwords, keys)Parameter naming: Use camelCase, descriptive names (e.g., vmSize, appServicePlanSkuName, vnetAddressPrefix)
File write order (write and confirm each before moving to the next):
modules/networking.bicep (if networking resources exist)modules/compute.bicep (if compute resources exist)modules/data.bicep (if data resources exist)modules/identity.bicep, modules/monitoring.bicep)main.bicep<diagram-name>.bicepparamBicepparam comment guidelines:
using 'main.bicep'
// Azure region for all resources. Options: eastus, westeurope, westus2, northeurope
param location = 'eastus'
// VNet address space. /16 gives room for many subnets; /24 limits to ~251 hosts total.
param vnetAddressPrefixes = ['10.0.0.0/16']
// VM size — controls CPU, memory, cost.
// Standard_B2s → 2 vCPU, 4 GB (~$30/mo) — dev/test
// Standard_D2s_v3 → 2 vCPU, 8 GB (~$70/mo) — general workloads
// Standard_D4s_v3 → 4 vCPU, 16 GB (~$140/mo) — heavier workloads
param vmSize = 'Standard_B2s'Rules for defaults:
Standard_B2s for VMs, S1 for App Service Plans, Standard_LRS for Storage)eastusAfter generating all files, run the full verification ruleset defined in .github/skills/shared/azure-deployment-verification.md. This is mandatory — do not skip or partially run verification.
Read the shared verification reference and check every applicable rule category:
@secure() decorators, public access disabled with private endpointsAlso verify:
Present results as a compact summary only — list each check category with a pass/fail status and a one-line note per issue. Do not reproduce file contents or full rule descriptions in the response. Errors must be auto-fixed by updating the already-written file on disk (re-write the affected file and confirm ✓ Fixed: <filename>). Do not present generated code that contains known errors.
Write a README.md to the output root directory (alongside main.bicep) containing:
az deployment group create and New-AzResourceGroupDeployment examples with a placeholder resource group).bicepparam to set real values, related skills (azv-bicep-whatif, azv-bicep-diagram-sync, azv-bicep-policy-check)After writing the README, present the same summary in the chat response:
## Infrastructure Code Generated
**Source diagram:** webapp-private-endpoint-vm/webapp-private-endpoint-vm.drawio
**Output directory:** webapp-private-endpoint-vm/
### Generated Files
| File | Description |
|------|-------------|
| main.bicep | Entry point — 3 module references, all params with @description |
| <diagram-name>.bicepparam | User-editable parameter values with comments |
| modules/networking.bicep | VNet, 2 subnets, private endpoint |
| modules/compute.bicep | VM, App Service + Plan |
### Customize
Edit `<diagram-name>.bicepparam` to change any deployment settings.
Each parameter has comments explaining the setting, alternatives, and cost.
### Deploy
```powershell
az deployment group create --resource-group "my-rg" --template-file main.bicep --parameters @<diagram-name>.bicepparam
---
## Important Notes
- This skill operates **independently** — it does not require sketch-to-diagram or diagram-azure-sync.
- The `.bicepparam` file is the persistent, user-editable source of truth for deployment settings. The user can open it in any editor, change values, and redeploy. Each parameter has comments explaining what it does and the consequences of changing it.
- Files are written to disk **one at a time** as they are generated — do not accumulate content in the response. Each file emits only a single `✓ Written:` confirmation line. This keeps responses within length limits for complex diagrams.
- Generated Bicep uses **secure defaults** — HTTPS only, TLS 1.2+, public access disabled where private endpoints are present.
- Bicep modules are only generated for categories that have resources (no empty module files).
- All generated Bicep MUST follow the best practices from the Bicep MCP server (`get_bicep_best_practices`). Call this tool before generating code.
- Reference `.github/skills/shared/azure-stencil-mapping.json` for icon-to-resource-type reverse lookups during diagram parsing.
- Reference `.github/skills/shared/azure-resource-configs.md` for per-resource-type configuration schemas and defaults.© Azure, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in .github/skills/azv-diagram-to-bicep of Azure/AZVerify.
Open the folder on GitHubat commit d6a2b92
Azv Diagram To Bicep next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Azv Diagram To Bicep this skillAzure/AZVerify | 101 | — | ~3.1k | Automated safety check: Warn | MIT | |
| Azure Architecture Autopilotgithub/awesome-copilot | 40k | 1 repos | ~1.9k | Automated safety check: Pass | MIT | |
| Azure Well Architected Reviewgithub/awesome-copilot | 40k | — | ~2.5k | Automated safety check: Pass | MIT | |
| Azure Diagramscmb211087/azure-diagrams-skill | 150 | — | ~4k | Automated safety check: Notes | MIT | |
| Azure Bicep Skilltimothywarner-org/claude-code | 224 | — | ~2.9k | Automated safety check: Pass | MIT | |
| Apex Azure Bicep Patternsjonathan-vella/apex | 217 | — | ~2.5k | Automated safety check: Pass | MIT |
github/awesome-copilot
Designs Azure infrastructure from a natural-language description, or diagrams an existing resource group, then refines the design through conversation and deploys it with Bicep.
github/awesome-copilot
Perform an Azure Well-Architected Framework review of the current workload IaC and architecture, generating findings and GitHub issues for improvements.
cmb211087/azure-diagrams-skill
Comprehensive technical diagramming toolkit for solutions architects, presales, and developers.
timothywarner-org/claude-code
A skill your agent uses when authoring, reviewing, or refactoring Azure Bicep code.
jonathan-vella/apex
UTILITY SKILL — Reusable Azure Bicep patterns: hub-spoke, private endpoints, diagnostics, AVM composition.
awslabs/agent-plugins
Generate validated AWS architecture diagrams as draw.io XML using official AWS4 icon libraries.
Azure/AZVerify
Reverse-engineer a live Azure scope (resource group or filtered subscription) into a professional Draw.io architecture diagram following established AzVerify conventions.
Azure/AZVerify
Compare Bicep templates against a Draw.io Azure architecture diagram to detect resource-level divergence.
Azure/AZVerify
Reverse-engineer a live Azure scope (resource group or filtered subscription) into deployment-ready, modular Bicep templates with parameter files.
Azure/AZVerify
Check a Bicep template against the Azure Policy assignments in the target Azure environment to determine whether the resources would be compliant before deployment.
Azure/AZVerify
Compare Bicep templates against a live Azure environment by querying Azure directly and parsing the Bicep template.
Azure/AZVerify
Compare a Draw.io Azure architecture diagram against a live Azure environment to detect drift.
Works with
Categories
Generate deployment-ready Bicep templates and PowerShell scripts from an approved Draw.io Azure architecture diagram. Azv Diagram To Bicep is an agent skill from Azure/AZVerify, published by the product's own GitHub organization.io Azure architecture diagram.
Azv Diagram To Bicep fits situations like: tasks that involve Infrastructure as code; tasks that involve Diagrams; tasks that involve Cloud architecture.
Run `npx skills add Azure/AZVerify --skill azv-diagram-to-bicep -a claude-code`. Or copy the skill folder (.github/skills/azv-diagram-to-bicep in Azure/AZVerify) into .claude/skills/azv-diagram-to-bicep in your project. Claude Code loads it when a task matches its description.
Run `npx skills add Azure/AZVerify --skill azv-diagram-to-bicep -a codex`. Or copy the skill folder (.github/skills/azv-diagram-to-bicep in Azure/AZVerify) into .agents/skills/azv-diagram-to-bicep in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Azure/AZVerify --skill azv-diagram-to-bicep -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/azv-diagram-to-bicep, .gemini/skills/azv-diagram-to-bicep, .github/skills/azv-diagram-to-bicep and .opencode/skills/azv-diagram-to-bicep in your project.
Going by SKILL.md and its folder, Azv Diagram To Bicep needs the command-line tools its instructions call (az).
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md flagged 1 warning(s): tells the agent its actions are pre-authorized / not to stop for confirmation. Read the flagged lines before installing; the check is not a guarantee either way.
Azv Diagram To Bicep is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 3.1k tokens (SKILL.md is roughly 12k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Azv Diagram To Bicep: Azure Architecture Autopilot (github/awesome-copilot, 40k stars), Azure Well Architected Review (github/awesome-copilot, 40k stars), Azure Diagrams (cmb211087/azure-diagrams-skill, 150 stars) and Azure Bicep Skill (timothywarner-org/claude-code, 224 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Azure (a GitHub organization, an official publisher) maintains it in Azure/AZVerify, which has 101 GitHub stars. The repository holds 9 skills in this directory. The repository was last updated on August 27, 2026.
Source: Azure/AZVerify on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.