Official agent skill

Avm Tf Documentation

by Azure in Azure/terraform-azurerm-avm-ptn-alz

A skill your agent uses for AVM Terraform generated README content, header.md, footer.md, examples documentation, terraform-docs inputs, and Avm.Authoring documentation checks.

OfficialMITAuto-check passedDevOps & Cloud

Install Avm Tf Documentation

skills CLI

$ npx skills add Azure/terraform-azurerm-avm-ptn-alz --skill avm-tf-documentation -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install Azure/terraform-azurerm-avm-ptn-alz avm-tf-documentation --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/Azure/terraform-azurerm-avm-ptn-alz.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.github/skills/avm-tf-documentation .claude/skills/avm-tf-documentation && rm -rf skills-src

Use ~/.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/

Paste into Claude Code

Install the "avm-tf-documentation" agent skill from https://github.com/Azure/terraform-azurerm-avm-ptn-alz/tree/main/.github/skills/avm-tf-documentation into .claude/skills/avm-tf-documentation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "avm-tf-documentation", 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

$skill-installer install https://github.com/Azure/terraform-azurerm-avm-ptn-alz/tree/main/.github/skills/avm-tf-documentation

Type 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.

skills CLI

$ npx skills add Azure/terraform-azurerm-avm-ptn-alz --skill avm-tf-documentation -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install Azure/terraform-azurerm-avm-ptn-alz avm-tf-documentation --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/Azure/terraform-azurerm-avm-ptn-alz.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.github/skills/avm-tf-documentation .agents/skills/avm-tf-documentation && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "avm-tf-documentation" agent skill from https://github.com/Azure/terraform-azurerm-avm-ptn-alz/tree/main/.github/skills/avm-tf-documentation into .agents/skills/avm-tf-documentation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "avm-tf-documentation", 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.

skills CLI

$ npx skills add Azure/terraform-azurerm-avm-ptn-alz --skill avm-tf-documentation -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install Azure/terraform-azurerm-avm-ptn-alz avm-tf-documentation --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/Azure/terraform-azurerm-avm-ptn-alz.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.github/skills/avm-tf-documentation .cursor/skills/avm-tf-documentation && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "avm-tf-documentation" agent skill from https://github.com/Azure/terraform-azurerm-avm-ptn-alz/tree/main/.github/skills/avm-tf-documentation into .cursor/skills/avm-tf-documentation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "avm-tf-documentation", 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

$ gemini skills install https://github.com/Azure/terraform-azurerm-avm-ptn-alz.git --path .github/skills/avm-tf-documentation

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add Azure/terraform-azurerm-avm-ptn-alz --skill avm-tf-documentation -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install Azure/terraform-azurerm-avm-ptn-alz avm-tf-documentation --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/Azure/terraform-azurerm-avm-ptn-alz.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.github/skills/avm-tf-documentation .gemini/skills/avm-tf-documentation && rm -rf skills-src

Use ~/.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/

Paste into Gemini CLI

Install the "avm-tf-documentation" agent skill from https://github.com/Azure/terraform-azurerm-avm-ptn-alz/tree/main/.github/skills/avm-tf-documentation into .gemini/skills/avm-tf-documentation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "avm-tf-documentation", 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.

GitHub CLI

$ gh skill install Azure/terraform-azurerm-avm-ptn-alz avm-tf-documentation

Installs 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).

skills CLI

$ npx skills add Azure/terraform-azurerm-avm-ptn-alz --skill avm-tf-documentation -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/Azure/terraform-azurerm-avm-ptn-alz.git skills-src && mkdir -p .github/skills && cp -r skills-src/.github/skills/avm-tf-documentation .github/skills/avm-tf-documentation && rm -rf skills-src

Use ~/.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/

Paste into GitHub Copilot

Install the "avm-tf-documentation" agent skill from https://github.com/Azure/terraform-azurerm-avm-ptn-alz/tree/main/.github/skills/avm-tf-documentation into .github/skills/avm-tf-documentation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "avm-tf-documentation", 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.

skills CLI

$ npx skills add Azure/terraform-azurerm-avm-ptn-alz --skill avm-tf-documentation -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install Azure/terraform-azurerm-avm-ptn-alz avm-tf-documentation --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/Azure/terraform-azurerm-avm-ptn-alz.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.github/skills/avm-tf-documentation .opencode/skills/avm-tf-documentation && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "avm-tf-documentation" agent skill from https://github.com/Azure/terraform-azurerm-avm-ptn-alz/tree/main/.github/skills/avm-tf-documentation into .opencode/skills/avm-tf-documentation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "avm-tf-documentation", 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.

Facts

Skill name: avm-tf-documentation
GitHub stars: 135
Token cost: ~1.1k tokens
SKILL.md length: 460 words
Files: 1
Skills in repo: 13
Repo updated: Oct 6, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

A skill your agent uses for AVM Terraform generated README content, header.md, footer.md, examples documentation, terraform-docs inputs, and Avm.Authoring documentation checks.

Works in 4 steps: change the Terraform source or authored… → run avm docs or avm pre-commit; → inspect the generated diff; and → …
AVM Terraform generated README content
SKILL.md covers Source files, Authoring rules, Generate documentation and Descriptions, plus 1 more section
Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Avm Tf Documentation is an agent skill from Azure/terraform-azurerm-avm-ptn-alz, published by the product's own GitHub organization. Use for AVM Terraform generated README content, header.md, footer.md, examples documentation, terraform-docs inputs, and Avm.Authoring documentation checks.

Its SKILL.md is about 1.1k 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 and Technical documentation. It works with Terraform and Microsoft Azure. The repository describes itself as: Terraform Azure Verified Pattern Module for Azure Landing Zone Management Groups and Policy. The licence is MIT.

When your agent uses it

AVM Terraform generated README content
Examples documentation
Terraform-docs inputs
Avm.Authoring documentation checks

Example prompts

“/avm-tf-documentation”

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

change the Terraform source or authored header/footer that owns the content;
run avm docs or avm pre-commit;
inspect the generated diff; and
commit the source and generated output together.

What it can do on your machine

Read from SKILL.md and the folder at commit e2a318c. It shows what the files ask for, not the result of running them.

Tool permissions
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.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are powershell and hcl).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Avm Tf Documentation loads about 1.1k tokens when it runs. Until then it costs about 45 tokens; SKILL.md has 460 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~45
When it runs · the whole SKILL.md, loaded when a task matches: ~1.1k

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.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated 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.

SKILL.md

The full file from Azure/terraform-azurerm-avm-ptn-alz at commit e2a318c, republished under its MIT licence (© Azure). 460 words, ~1,144 tokens.

Download SKILL.mdSave it as .claude/skills/avm-tf-documentation/SKILL.md (or your agent's skills folder).

name: avm-tf-documentation
description: Use for AVM Terraform generated README content, _header.md, _footer.md, examples documentation, terraform-docs inputs, and Avm.Authoring documentation checks.

AVM Terraform Documentation

AVM Terraform README.md files are generated. Never edit them directly.

Documentation for every new resource-deploying module MUST describe an AzAPI-first implementation. Authored and generated snippets use AzAPI for all control-plane and ordinary supporting resources and MUST NOT present AzureRM as a convenience alternative.

Source files

For the root module, every submodule, and every documented example:

_header.md contains authored content before the generated Terraform tables.
Terraform sources provide requirements, providers, resources, modules, inputs, and outputs.
_footer.md contains authored content after the generated tables, including the required data-collection notice where applicable.
README.md is the generated result committed to Git.

Submodules are full AVM modules and need their own _header.md, _footer.md, and generated README.md.

Authoring rules

Explain purpose, important behavior, prerequisites, and supported scenarios in _header.md.
Put interface semantics in variable descriptions so generated input tables stay useful.
Document every variable field, especially resource_types, retry, timeouts, and ignore_body_changes.
For ignore_body_changes, state that paths are body-relative dot notation, ignored configuration is not sent to Azure, and changes take effect only after apply.
Ensure provider snippets include Azure/azapi. Include hashicorp/azurerm only for an exact permitted data-plane/non-ARM operation.
In examples, E2E instructions, Terraform tests, fixtures, and setup or teardown snippets, use AzAPI for direct Azure dependencies not supplied by the module under test.
For every permitted azurerm_* resource or data-source block, independently document the exact block, the specific unsupported data-plane/non-ARM operation, why no applicable AzAPI resource or action can implement it, the upstream AzAPI issue or pull request, and that the block must be replaced when support ships. One documented block does not authorize another.
Preserve legitimate published AVM module source addresses ending in /azurerm; that suffix is a legacy Registry namespace, not an AzureRM provider requirement.
Prefer working examples over duplicated implementation prose.
Keep headings and links stable for Terraform Registry rendering.
Do not explain internal review decisions or migration history in the README unless consumers need that information.

Show full SKILL.md (143 more words)Show less

Generate documentation

Use Avm.Authoring from PowerShell 7.4 or later:

pwsh

Import-Module Avm.Authoring
avm docs

avm pre-commit also regenerates documentation:

pwsh

avm pre-commit

Review and commit the generated README changes. After the worktree is clean, avm pr-check verifies documentation as part of the full PR gauntlet:

pwsh

avm pr-check

Do not run terraform-docs directly unless debugging the authoring implementation. Do not use ./avm, avm.ps1, Make, Porch, or a container.

Descriptions

Descriptions must be precise enough for a consumer to use the input or output without reading the implementation:

hcl

variable "parent_id" {
  type        = string
  nullable    = false
  description = "The fully-qualified ARM resource ID of the existing parent scope into which the resource will be deployed."
}

output "resource_id" {
  value       = azapi_resource.this.id
  description = "The resource ID of the deployed resource."
}

Use heredocs for structured object documentation. Keep defaults and constraints synchronized with the actual type:

hcl

variable "ignore_body_changes" {
  type = object({
    example_widgets = optional(list(string), [])
  })
  default  = {}
  nullable = false
  description = <<DESCRIPTION
Body-relative paths to ignore for each AzAPI resource. Paths use dot notation
and changes take effect only after apply. Configuration for an ignored path is
not sent to Azure until the path is removed.

- `example_widgets` - Paths ignored on the widget resource.
DESCRIPTION
}

Failure handling

If a generated README is stale:

change the Terraform source or authored header/footer that owns the content;
run avm docs or avm pre-commit;
inspect the generated diff; and
commit the source and generated output together.

Do not patch the generated table to make a check pass.

Files

Just SKILL.md in .github/skills/avm-tf-documentation of Azure/terraform-azurerm-avm-ptn-alz.

Open the folder on GitHubat commit e2a318c

Compare with similar skills

Avm Tf Documentation 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.

Avm Tf Documentation compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Avm Tf Documentation this skillAzure/terraform-azurerm-avm-ptn-alz	135	—	~1.1k	Automated safety check: Pass	MIT	2 days ago
Terravision Cloud Diagramspatrickchugh/terravision	1.6k	—	~5.6k	Automated safety check: Notes	AGPL-3.0-only	yesterday
TerrasharkLukasNiessen/terrashark	714	—	~843	Automated safety check: Pass	MIT	5 days ago
Provider Verificationmondoohq/mql	411	—	~3.7k	Automated safety check: Pass	Custom licence	today
Tirith MigrateStackGuardian/tirith	170	—	~1.7k	Automated safety check: Pass	Apache-2.0	yesterday
Terraform Azurerm Set Diff Analyzergithub/awesome-copilot	40k	1 repos	~547	Automated safety check: Pass	MIT	today

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A skill your agent uses for AVM Terraform AzAPI resources, provider constraints, ARM schemas, parent IDs, resource types, retries, timeouts, response exports, replacement triggers, and…
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Avm Tf Testing
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A skill your agent uses for AVM Terraform validation, provider-mocked unit tests, real-Azure integration tests, E2E example tests, PowerShell hooks, OIDC, policy checks, and Avm.Authoring CI behavior.
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Avm Tf Classifications
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Avm Tf Codestyle
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A skill your agent uses for AVM Terraform file layout, HCL style, variables, outputs, validation, lifecycle syntax, provider requirements, and Avm.Authoring formatting.
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Auto-check passed
Avm Tf Conftest
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A skill your agent uses whenever an AVM Terraform task involves Conftest, OPA, Rego, APRL, AVMSEC, policy findings, policy exceptions, or files under an example exceptions directory.
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Avm Tf Interfaces
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Official
A skill your agent uses for AVM Terraform diagnostic settings, role assignments, locks, managed identities, private endpoints, customer-managed keys, tags, and AzAPI control interfaces.
135 GitHub stars~1.8k tokensUpdated 2 days ago
Auto-check passed

Works with

Questions about Avm Tf Documentation

What does Avm Tf Documentation do?

A skill your agent uses for AVM Terraform generated README content, header.md, footer.md, examples documentation, terraform-docs inputs, and Avm.Authoring documentation checks. Avm Tf Documentation is an agent skill from Azure/terraform-azurerm-avm-ptn-alz, published by the product's own GitHub organization.Authoring documentation checks.

When should I use Avm Tf Documentation?

Avm Tf Documentation fits situations like: AVM Terraform generated README content; examples documentation; terraform-docs inputs; avm.Authoring documentation checks.

How do I install Avm Tf Documentation in Claude Code?

Run `npx skills add Azure/terraform-azurerm-avm-ptn-alz --skill avm-tf-documentation -a claude-code`. Or copy the skill folder (.github/skills/avm-tf-documentation in Azure/terraform-azurerm-avm-ptn-alz) into .claude/skills/avm-tf-documentation in your project. Claude Code loads it when a task matches its description.

How do I install Avm Tf Documentation in Codex?

Run `npx skills add Azure/terraform-azurerm-avm-ptn-alz --skill avm-tf-documentation -a codex`. Or copy the skill folder (.github/skills/avm-tf-documentation in Azure/terraform-azurerm-avm-ptn-alz) into .agents/skills/avm-tf-documentation in your project. Codex loads it when a task matches its description.

Can I use Avm Tf Documentation in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Azure/terraform-azurerm-avm-ptn-alz --skill avm-tf-documentation -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/avm-tf-documentation, .gemini/skills/avm-tf-documentation, .github/skills/avm-tf-documentation and .opencode/skills/avm-tf-documentation in your project.

What does Avm Tf Documentation need to run?

SKILL.md names no scripts, command-line tools or credentials: Avm Tf Documentation is instructions for the agent only.

Does Avm Tf Documentation access the network?

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.

Is Avm Tf Documentation safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Avm Tf Documentation use?

Avm Tf Documentation is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Avm Tf Documentation use?

About 1.1k tokens (SKILL.md is roughly 4.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Avm Tf Documentation?

Skills that share tags, products or a category with Avm Tf Documentation: Terravision Cloud Diagrams (patrickchugh/terravision, 1.6k stars), Terrashark (LukasNiessen/terrashark, 714 stars), Provider Verification (mondoohq/mql, 411 stars) and Tirith Migrate (StackGuardian/tirith, 170 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Avm Tf Documentation?

Azure (a GitHub organization, an official publisher) maintains it in Azure/terraform-azurerm-avm-ptn-alz, which has 135 GitHub stars. The repository holds 13 skills in this directory. The repository was last updated on October 6, 2026.

Source: Azure/terraform-azurerm-avm-ptn-alz on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Avm Tf Documentation

Facts

At a glance

What it does

When your agent uses it

Example prompts

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

AVM Terraform Documentation

Source files

Authoring rules

Generate documentation

Descriptions

Failure handling

Files

Compare with similar skills

Similar skills

More from Azure/terraform-azurerm-avm-ptn-alz

Related

Questions about Avm Tf Documentation