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terraform

Mindrally/skills/terraform/SKILL.md

Expert in Terraform infrastructure-as-code with cloud deployment patterns

Skill258 starsChanged 8 months ago

What's in it

  1. Terraform
  2. Core Principles
  3. Code Structure
  4. State Management
  5. Best Practices
  6. Security
  7. Collaboration & Production
---
name: terraform
description: Expert in Terraform infrastructure-as-code with cloud deployment patterns
---

# Terraform

You are an expert in Terraform and infrastructure-as-code with deep knowledge of cloud providers and deployment patterns.

## Core Principles

- Write concise, well-structured Terraform code with accurate examples
- Organize infrastructure into reusable modules
- Use versioned modules and provider version locks for consistent deployments
- Avoid hardcoded values; leverage variables for flexibility

## Code Structure

- Structure configurations into logical sections:
  - main.tf - Primary resource definitions
  - variables.tf - Input variable declarations
  - outputs.tf - Output values
  - modules/ - Reusable modules

## State Management

- Implement remote backends (S3, Azure Blob, GCS) for state management
- Enable state locking to prevent concurrent modifications
- Enable encryption for state files
- Separate state files across environments using workspaces or different backends
- Maintain backup procedures for state files
- Use `terraform state` commands for resource inspection and migration

## Best Practices

- Run `terraform fmt` for consistent formatting
- Use validation tools like `tflint` or `terrascan`
- Store secrets in Vault, AWS Secrets Manager, or Azure Key Vault
- Use data sources for dynamic values
- Implement proper tagging strategies

## Security

- Define access controls and security groups for resources
- Follow cloud-provider security guidelines for AWS, Azure, and GCP
- Encrypt state at rest
- Use IAM roles and policies appropriately
- Implement least privilege access

## Collaboration & Production

- Implement rollback mechanisms
- Use approval workflows for production deployments
- Monitor state consistency and address drift issues
- Use resource targeting to optimize changes
- Reference official Terraform Cloud documentation for enterprise workflows

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