Build scalable infrastructure as code with Terraform, managing AWS, Azure, GCP, and on-premise resources through declarative configuration, remote state, and automated provisioning.
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Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionterraform-infrastructureExecute the skills CLI command in your project's root directory to begin installation:
Fetches terraform-infrastructure from aj-geddes/useful-ai-prompts and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate terraform-infrastructure. Access via /terraform-infrastructure in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
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Build scalable infrastructure as code with Terraform, managing AWS, Azure, GCP, and on-premise resources through declarative configuration, remote state, and automated provisioning.
Minimal working example:
# terraform/main.tf
terraform {
required_version = ">= 1.0"
required_providers {
aws = {
source = "hashicorp/aws"
version = "~> 5.0"
}
}
# Remote state configuration
backend "s3" {
bucket = "terraform-state-prod"
key = "prod/terraform.tfstate"
region = "us-east-1"
encrypt = true
dynamodb_table = "terraform-locks"
}
}
provider "aws" {
region = var.aws_region
default_tags {
// ... (see reference guides for full implementation)
Detailed implementations in the references/ directory:
| Guide | Contents |
|---|---|
| AWS Infrastructure Module | AWS Infrastructure Module |
| Variables and Outputs | Variables and Outputs |
| Terraform Deployment Script | Terraform Deployment Script |
Prerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
aj-geddes/useful-ai-prompts
aj-geddes/useful-ai-prompts
aj-geddes/useful-ai-prompts
aj-geddes/useful-ai-prompts
aj-geddes/useful-ai-prompts
aj-geddes/useful-ai-prompts
terraform-infrastructure fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Solid pick for teams standardizing on skills: terraform-infrastructure is focused, and the summary matches what you get after install.
terraform-infrastructure has been reliable in day-to-day use. Documentation quality is above average for community skills.
Useful defaults in terraform-infrastructure — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
I recommend terraform-infrastructure for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Keeps context tight: terraform-infrastructure is the kind of skill you can hand to a new teammate without a long onboarding doc.
terraform-infrastructure is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
terraform-infrastructure has been reliable in day-to-day use. Documentation quality is above average for community skills.
We added terraform-infrastructure from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Solid pick for teams standardizing on skills: terraform-infrastructure is focused, and the summary matches what you get after install.
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