azure-verified-modules
by hashicorpazure-verified-modules is a guide for creating or reviewing Azure Terraform modules against Azure Verified Modules (AVM) requirements. Use it to align module structure, variables, outputs, testing, and documentation for certification-ready code generation.
This skill scores 78/100, which means it is a solid directory listing candidate for users working on Azure Terraform modules. The repository provides a substantial, non-placeholder requirements guide with clear trigger language for AVM certification work, so an agent can understand when to use it and what standards to follow with less guesswork than a generic prompt. It is useful enough to install, though users should expect it to function more as a standards/reference skill than a scripted automation workflow.
- Clear use case: 'Use when creating or reviewing Azure modules that need AVM certification' gives an explicit trigger for agents.
- Substantial operational content: 16k+ body length, many headings, and multiple constraint/workflow sections suggest real procedural guidance rather than a stub.
- Trustworthy signal set: valid frontmatter, no placeholders, and repo-linked references to Azure Verified Modules requirements support install confidence.
- No install command, scripts, or companion resources are present, so adoption depends on reading and applying the written requirements manually.
- The skill appears compliance/documentation-oriented rather than execution-oriented, so it may offer limited direct leverage for automated code generation beyond rule-following.
Overview of azure-verified-modules skill
What this skill is for
The azure-verified-modules skill helps you create or review Azure Terraform modules against Azure Verified Modules (AVM) requirements. It is most useful when you need a module to qualify for certification, align with AVM conventions, or pass a compliance-minded review before release.
Who should use it
Use this azure-verified-modules skill if you are authoring a new Azure module, refactoring an existing one for AVM alignment, or generating module code that must follow a stricter standard than a generic Terraform prompt. It is especially relevant for module maintainers, platform teams, and code generation workflows.
What it optimizes for
The skill is not just a style guide. It is a rule-driven checklist for module structure, provider expectations, variables, outputs, testing, documentation, and change management. That makes azure-verified-modules more valuable when the main risk is missing a requirement, not inventing new architecture.
When it is a strong fit
Choose azure-verified-modules when you want fewer surprises during certification review and need the generated module to be easier to validate against AVM requirements. It is a good fit for a deliberate, spec-based build process; it is a weaker fit for exploratory prototypes or loosely defined Terraform experiments.
How to Use azure-verified-modules skill
Install and enable it
Use the azure-verified-modules install flow in your skills environment, then point the agent at the skill path in hashicorp/agent-skills. If your setup supports direct install commands, the repo path is terraform/code-generation/skills/azure-verified-modules. The key is to ensure the agent loads this skill before code generation or review starts.
Start from the right inputs
The skill works best when you give it the module type, Azure resource target, expected AVM scope, and any existing repository constraints. A weak prompt is: “Generate an Azure Terraform module.” A stronger prompt is: “Create an AVM-aligned Terraform module for Azure Storage Account with provider constraints, documented variables, required outputs, and test-ready structure.”
Read the files that matter first
For azure-verified-modules usage, start with SKILL.md, then inspect any linked module references in the same repository. The most important early job is to extract the requirements before writing code. If you are comparing this skill against a repo skim, focus first on the sections for module cross-referencing, provider requirements, code style, variables, outputs, testing, and documentation.
Work in a compliance-first order
A practical workflow is: define the module boundary, map AVM requirements, draft the Terraform interface, then validate outputs and docs before polishing implementation details. This reduces rework because AVM gaps usually show up in missing contract details, not in resource creation syntax. For azure-verified-modules for Code Generation, ask the model to produce code plus a requirement checklist, so you can verify coverage immediately.
azure-verified-modules skill FAQ
Is this better than a normal prompt?
Yes, if your goal is AVM-compliant output rather than a quick Terraform draft. A normal prompt may produce working code, but azure-verified-modules adds the requirement lens that helps prevent avoidable certification misses.
Do I need to be an AVM expert first?
No. The skill is useful precisely because it organizes the requirements you need to follow. Beginners can use it, but they should provide a clear module goal and expect to iterate after the first pass.
When should I not use it?
Do not use it for throwaway proofs of concept, intentionally nonstandard module designs, or Azure work that will never be evaluated against AVM criteria. In those cases, the skill may add process overhead without enough payoff.
What should I expect from the output?
Expect stricter, more reviewable module guidance, not magical completeness. The best azure-verified-modules guide output is one that highlights missing requirements early and gives you a clean path to compliance.
How to Improve azure-verified-modules skill
Give the skill a module brief, not a vague goal
Better inputs include the Azure service, module category, required inputs, expected outputs, and any constraints on naming or versioning. For example: “Build an AVM-aligned module for Azure Key Vault, include required tags, expose resource IDs and names, and keep variables minimal but complete.”
Ask for a requirement map before implementation
A strong way to improve azure-verified-modules usage is to request a checklist or gap analysis before full code generation. That helps you catch missing documentation, provider setup, or output requirements before they spread through the implementation.
Watch for the common failure modes
The most common issues are incomplete module boundaries, weak output design, and omission of documentation or test expectations. If the first pass looks plausible but not certifiable, ask the model to compare the draft against AVM requirements and list only the missing items.
Iterate with review-ready constraints
To get better results, ask for the final module plus a short compliance note: what was satisfied, what remains manual, and what assumptions were made. That makes the azure-verified-modules skill more useful as a build-and-review tool, not just a code writer, and it improves the odds that the next revision is close to publishable.