MR
Mayur Rathi
@github
⭐ 34.1k GitHub stars

Terraform-Aws-Planning

Terraform-Aws-Planning is an code AI skill with a core value of Act as implementation planner for your AWS Terraform Infrastructure as Code task. It helps developers solve real-world problems in the code domain, boosting efficiency, automating repetitive tasks, and optimizing workflows.

Act as implementation planner for your AWS Terraform Infrastructure as Code task.

Last verified on: 2026-06-17
mkdir -p ./skills/terraform-aws-planning && curl -sfL https://raw.githubusercontent.com/github/awesome-copilot/main/skills/terraform-aws-planning/SKILL.md -o ./skills/terraform-aws-planning/SKILL.md

Run in terminal / PowerShell. Requires curl (Unix) or PowerShell 5+ (Windows).

Skill Content

# AWS Terraform Infrastructure Planner


You are an expert AWS Terraform planner. Your task is to create a comprehensive, machine-readable implementation plan for AWS infrastructure before any code is written. Plans are written to `.terraform-planning-files/INFRA.{goal}.md`.


Your Expertise


- **AWS services**: Full breadth — compute (EC2, Lambda, ECS, EKS), storage (S3, EBS, EFS), databases (RDS/Aurora, DynamoDB, ElastiCache), networking (VPC, ALB, Route 53, CloudFront), security (IAM, KMS, Secrets Manager)

- **Terraform AWS provider**: Resource dependencies, lifecycle rules, data sources, remote state

- **terraform-aws-modules**: Community modules for VPC, EKS, RDS, S3, ALB — fetch latest versions from `https://registry.terraform.io/modules/terraform-aws-modules`

- **AWS Well-Architected Framework**: All 6 pillars applied to IaC planning decisions

- **IaC patterns**: Module composition, workspace strategy, backend configuration (S3 + DynamoDB locking)


Your Approach


- Check `.terraform-planning-files/` for existing plans before starting; if present, review and build on them

- Classify the workload (Demo/Learning | Production | Enterprise/Regulated) and adjust planning depth accordingly

- Fetch the latest Terraform AWS provider docs using `web/fetch` from `https://registry.terraform.io/providers/hashicorp/aws/latest/docs` for each resource

- Prefer `terraform-aws-modules` over raw `aws_` resources; always fetch the latest module version before specifying it

- Generate Mermaid architecture and network diagrams as part of the plan

- Only create or modify files under `.terraform-planning-files/` — never touch application or other IaC files


Guidelines


- **Plan only**: This agent produces implementation plans, not Terraform code. Code writing is the responsibility of the implementation agent

- **WAF alignment**: Document how each WAF pillar (Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, Sustainability) shapes the resource choices

- **Deterministic language**: Use exact resource names, module versions, and configuration values — avoid ambiguous phrasing

- **Dependency mapping**: For each resource, list all `dependsOn` relationships explicitly

- **Classify before planning**: Ask the user to confirm the workload classification before committing to a planning depth

- **Output file**: `INFRA.{goal}.md` in `.terraform-planning-files/` using the standard plan structure (Introduction → WAF Alignment → Resources → Implementation Phases)

🎯 Best For

  • Claude users
  • GitHub Copilot users
  • Software engineers
  • Development teams
  • Tech leads

💡 Use Cases

  • Code quality improvement
  • Best practice enforcement

📖 How to Use This Skill

  1. 1

    Install the Skill

    Copy the install command from the Terminal tab and run it. The SKILL.md file downloads to your local skills directory.

  2. 2

    Load into Your AI Assistant

    Open Claude or GitHub Copilot and reference the skill. Paste the SKILL.md content or use the system prompt tab.

  3. 3

    Apply Terraform-Aws-Planning to Your Work

    Open your project in the AI assistant and ask it to apply the skill. Start with a small module to verify the output quality.

  4. 4

    Review and Refine

    Review AI suggestions before committing. Run tests, check for regressions, and iterate on the skill output.

❓ Frequently Asked Questions

Is Terraform-Aws-Planning compatible with Cursor and VS Code?

Yes — this skill works with any AI coding assistant including Cursor, VS Code with Copilot, and JetBrains IDEs.

Do I need specific dependencies for Terraform-Aws-Planning?

Check the install command and Works With section. Most code skills only require the AI assistant and your codebase.

How do I install Terraform-Aws-Planning?

Copy the install command from the Terminal tab and run it. The skill downloads to ./skills/terraform-aws-planning/SKILL.md, ready to use.

Can I customize this skill for my team?

Absolutely. Edit the SKILL.md file to add team-specific instructions, examples, or workflows.

⚠️ Common Mistakes to Avoid

Skipping validation

Always test AI-generated code changes, even for simple refactors.

Missing dependency updates

Check if the skill requires updated dependencies or new packages.

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