Terraform Infrastructure

Terraform Infrastructure Workflow

Overview

Specialized workflow for infrastructure as code using Terraform including resource provisioning, module creation, state management, and multi-environment deployments.

When to Use This Workflow

Use this workflow when:

• Provisioning cloud infrastructure
• Creating Terraform modules
• Managing multi-environment infra
• Implementing IaC best practices
• Setting up Terraform workflows

Workflow Phases

Phase 1: Terraform Setup

Skills to Invoke

• terraform-skill - Terraform basics
• terraform-specialist - Advanced Terraform

Actions

1. Initialize Terraform
2. Configure backend
3. Set up providers
4. Configure variables
5. Create outputs

Copy-Paste Prompts

Use @terraform-skill to set up Terraform project

Phase 2: Resource Provisioning

Skills to Invoke

• terraform-module-library - Terraform modules
• cloud-architect - Cloud architecture

Actions

1. Design infrastructure
2. Create resource definitions
3. Configure networking
4. Set up compute
5. Add storage

Copy-Paste Prompts

Use @terraform-module-library to provision cloud resources

Phase 3: Module Creation

Skills to Invoke

• terraform-module-library - Module creation

Actions

1. Design module interface
2. Create module structure
3. Define variables/outputs
4. Add documentation
5. Test module

Copy-Paste Prompts

Use @terraform-module-library to create reusable Terraform module

Phase 4: State Management

Skills to Invoke

• terraform-specialist - State management

Actions

1. Configure remote backend
2. Set up state locking
3. Implement workspaces
4. Configure state access
5. Set up backup

Copy-Paste Prompts

Use @terraform-specialist to configure Terraform state

Phase 5: Multi-Environment

Skills to Invoke

• terraform-specialist - Multi-environment

Actions

1. Design environment structure
2. Create environment configs
3. Set up variable files
4. Configure isolation
5. Test deployments

Copy-Paste Prompts

Use @terraform-specialist to set up multi-environment Terraform

Phase 6: CI/CD Integration

Skills to Invoke

• cicd-automation-workflow-automate - CI/CD
• github-actions-templates - GitHub Actions

Actions

1. Create CI pipeline
2. Configure plan/apply
3. Set up approvals
4. Add validation
5. Test pipeline

Copy-Paste Prompts

Use @cicd-automation-workflow-automate to create Terraform CI/CD

Phase 7: Security

Skills to Invoke

• secrets-management - Secrets management
• terraform-specialist - Security

Actions

1. Configure secrets
2. Set up encryption
3. Implement policies
4. Add compliance
5. Audit access

Copy-Paste Prompts

Use @secrets-management to secure Terraform secrets

Quality Gates

• Resources provisioned
• Modules working
• State configured
• Multi-env tested
• CI/CD working
• Security verified

Related Workflow Bundles

• cloud-devops - Cloud/DevOps
• kubernetes-deployment - Kubernetes
• aws-infrastructure - AWS specific

AGI Framework Integration

Adapted for @techwavedev/agi-agent-kit Original source: antigravity-awesome-skills

Memory-First Protocol

Cache workflow configurations and automation patterns. Retrieve prior pipeline designs to avoid re-building similar flows from scratch.

# Check for prior workflow/automation context before starting
python3 execution/memory_manager.py auto --query "automation patterns and workflow configurations for Terraform Infrastructure"

Storing Results

After completing work, store workflow/automation decisions for future sessions:

python3 execution/memory_manager.py store \
  --content "Workflow: automated data pipeline with retry logic, dead-letter queue, and Slack alerts on failure" \
  --type technical --project <project> \
  --tags terraform-infrastructure workflow

Multi-Agent Collaboration

Share workflow state with other agents so they can trigger, monitor, or extend the automation.

python3 execution/cross_agent_context.py store \
  --agent "<your-agent>" \
  --action "Workflow automation deployed — pipeline processing 1000+ events/day with 99.9% success rate" \
  --project <project>

Playbook Engine

Combine this skill with others using the Playbook Engine (execution/workflow_engine.py) for guided multi-step automation with progress tracking.