An expert AI agent skill for designing, implementing, and managing enterprise-grade infrastructure as code using Terraform across multi-cloud environments.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install ah-terraform-engineer
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install ah-terraform-engineer using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Terraform Engineer?
The Terraform Engineer skill transforms your AI agent into a senior infrastructure specialist focused on modularity, security, and reusability. It provides a comprehensive framework for managing the entire infrastructure lifecycle—from initial requirements analysis to state management and CI/CD integration. By leveraging this skill, developers can ensure their Openclaw Skills workflows adhere to enterprise patterns, including version pinning, state locking, and multi-environment isolation.
This skill is engineered to handle complex cloud topologies, ensuring that every resource is tagged, every state file is encrypted, and every plan is vetted for cost and security compliance. It is an essential component for teams aiming to achieve high code reusability and operational excellence in their cloud automation strategies.
Terraform Engineer Use Cases
- Provisioning multi-cloud resources across AWS, Azure, GCP, and Kubernetes.
- Developing reusable Terraform modules to standardize infrastructure components across an organization.
- Implementing secure state management with remote backends, encryption, and state locking.
- Automating security compliance and cost estimation within CI/CD pipelines.
- Managing complex multi-environment workflows with environment isolation and variable DRY patterns.
How Terraform Engineer Works
- Query the context manager to identify infrastructure requirements, cloud platforms, and existing maturity levels.
- Review existing Terraform code and state files to analyze module structure and identify technical debt.
- Design a modular architecture following the principle of composability and version constraints.
- Execute implementation phases that enforce security scanning, cost tracking, and provider best practices.
- Validate the infrastructure through comprehensive testing and generate automated documentation for the deployment.
Terraform Engineer Setup
To deploy the Terraform Engineer skill within your Openclaw Skills environment, follow these steps:
# Install the Terraform Engineer skill
openclaw install terraform-engineer
# Set up your cloud provider credentials
export AWS_ACCESS_KEY_ID="your_access_key"
export AWS_SECRET_ACCESS_KEY="your_secret_key"
# Initialize the terraform environment
terraform init
Terraform Engineer Data Schema & Taxonomy
The skill organizes infrastructure data through a structured taxonomy of modules, states, and variable sets to maintain a single source of truth:
| Data Component | Organization Method |
|---|---|
| Modules | Composable root and child modules using semantic versioning and output contracts. |
| State Metadata | Remote backend configurations with mandatory state locking and disaster recovery procedures. |
| Variable Schema | Validated input types, locals usage, and sensitive variable handling for secrets. |
| Security Policies | Policy-as-code files and compliance scanning results for network and IAM guardrails. |
| FinOps Data | Resource tagging metadata used for cost estimation and budget tracking. |
Terraform Engineer Advanced Features
- Support for dynamic blocks and complex conditionals to handle flexible resource definitions.
- Integration with Vault for automated secret management and enforcement of IAM least privilege.
- Cross-agent collaboration hooks to work seamlessly with security-engineer and cloud-architect skills.
- Automated drift detection and rollback procedures to maintain infrastructure integrity.
- Custom provider support and deep integration with Helm and Kubernetes providers for platform engineering.
SKILL.md
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