AWS Sst Development
zxkane/aws-skills
SST v4 (Ion) expert for managing AWS resources as code with the Pulumi-backed framework.
Define, deploy, and manage cloud infrastructure as code using tools like Terraform, Pulumi, CloudFormation, and CDK, ensuring consistency, repeatability, and version control.
$ npx skills add seb1n/awesome-ai-agent-skills --skill infrastructure-as-code -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install seb1n/awesome-ai-agent-skills infrastructure-as-code --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/seb1n/awesome-ai-agent-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/devops-and-infrastructure/infrastructure-as-code .claude/skills/infrastructure-as-code && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "infrastructure-as-code" agent skill from https://github.com/seb1n/awesome-ai-agent-skills/tree/main/devops-and-infrastructure/infrastructure-as-code into .claude/skills/infrastructure-as-code/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "infrastructure-as-code", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/seb1n/awesome-ai-agent-skills/tree/main/devops-and-infrastructure/infrastructure-as-codeType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add seb1n/awesome-ai-agent-skills --skill infrastructure-as-code -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install seb1n/awesome-ai-agent-skills infrastructure-as-code --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/seb1n/awesome-ai-agent-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/devops-and-infrastructure/infrastructure-as-code .agents/skills/infrastructure-as-code && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "infrastructure-as-code" agent skill from https://github.com/seb1n/awesome-ai-agent-skills/tree/main/devops-and-infrastructure/infrastructure-as-code into .agents/skills/infrastructure-as-code/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "infrastructure-as-code", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add seb1n/awesome-ai-agent-skills --skill infrastructure-as-code -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install seb1n/awesome-ai-agent-skills infrastructure-as-code --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/seb1n/awesome-ai-agent-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/devops-and-infrastructure/infrastructure-as-code .cursor/skills/infrastructure-as-code && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "infrastructure-as-code" agent skill from https://github.com/seb1n/awesome-ai-agent-skills/tree/main/devops-and-infrastructure/infrastructure-as-code into .cursor/skills/infrastructure-as-code/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "infrastructure-as-code", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/seb1n/awesome-ai-agent-skills.git --path devops-and-infrastructure/infrastructure-as-code--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add seb1n/awesome-ai-agent-skills --skill infrastructure-as-code -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install seb1n/awesome-ai-agent-skills infrastructure-as-code --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/seb1n/awesome-ai-agent-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/devops-and-infrastructure/infrastructure-as-code .gemini/skills/infrastructure-as-code && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "infrastructure-as-code" agent skill from https://github.com/seb1n/awesome-ai-agent-skills/tree/main/devops-and-infrastructure/infrastructure-as-code into .gemini/skills/infrastructure-as-code/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "infrastructure-as-code", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install seb1n/awesome-ai-agent-skills infrastructure-as-codeInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add seb1n/awesome-ai-agent-skills --skill infrastructure-as-code -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/seb1n/awesome-ai-agent-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/devops-and-infrastructure/infrastructure-as-code .github/skills/infrastructure-as-code && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "infrastructure-as-code" agent skill from https://github.com/seb1n/awesome-ai-agent-skills/tree/main/devops-and-infrastructure/infrastructure-as-code into .github/skills/infrastructure-as-code/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "infrastructure-as-code", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add seb1n/awesome-ai-agent-skills --skill infrastructure-as-code -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install seb1n/awesome-ai-agent-skills infrastructure-as-code --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/seb1n/awesome-ai-agent-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/devops-and-infrastructure/infrastructure-as-code .opencode/skills/infrastructure-as-code && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "infrastructure-as-code" agent skill from https://github.com/seb1n/awesome-ai-agent-skills/tree/main/devops-and-infrastructure/infrastructure-as-code into .opencode/skills/infrastructure-as-code/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "infrastructure-as-code", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
infrastructure-as-codeDefine, deploy, and manage cloud infrastructure as code using tools like Terraform, Pulumi, CloudFormation, and CDK, ensuring consistency, repeatability, and version control.
Infrastructure As Code is an agent skill from seb1n/awesome-ai-agent-skills. Define, deploy, and manage cloud infrastructure as code using tools like Terraform, Pulumi, CloudFormation, and CDK, ensuring consistency, repeatability, and version control. Use when the user requests infrastructure as code or provides relevant inputs for this workflow.
Its SKILL.md is about 3.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in DevOps & Cloud, covering Infrastructure as code. It works with Pulumi, Terraform, AWS CloudFormation and Amazon Web Services. The repository describes itself as: 103 ready-to-use AI agent skills for Claude Code, OpenAI Codex, Gemini CLI, Cursor, GitHub Copilot, Windsurf, and other Agent Skills-compatible tools. Complete SKILL.md… The licence is MIT.
6 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 75865a5. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
terraformpulumiFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Infrastructure As Code loads about 3.3k tokens when it runs. Until then it costs about 74 tokens; SKILL.md has 902 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from seb1n/awesome-ai-agent-skills at commit 75865a5, republished under its MIT licence (© seb1n). 902 words, ~3,252 tokens.
.claude/skills/infrastructure-as-code/SKILL.md (or your agent's skills folder).This skill enables the agent to design, generate, and manage infrastructure as code (IaC) for cloud environments. The agent can produce configurations for Terraform, Pulumi, AWS CloudFormation, and AWS CDK, implementing the full plan/apply workflow with proper state management, modular design, and drift detection. IaC ensures that infrastructure is versioned alongside application code, enabling reproducible deployments, peer review of infrastructure changes, and automated provisioning across environments.
Gather Infrastructure Requirements: The agent collects details about the desired infrastructure including the cloud provider (AWS, GCP, Azure), the resources needed (compute, storage, networking, databases), sizing and performance requirements, security constraints, and target environments (dev, staging, production). The agent identifies dependencies between resources to determine the correct provisioning order.
Select IaC Tool and Initialize Project: Based on team expertise and project constraints, the agent recommends an IaC tool. Terraform is preferred for multi-cloud and provider-agnostic setups, Pulumi for teams that prefer general-purpose programming languages, and CloudFormation or CDK for AWS-native organizations. The agent initializes the project structure with separate directories for modules, environments, and shared configuration.
Generate Infrastructure Code with Modules: The agent produces well-structured IaC code using reusable modules. Networking (VPC, subnets, security groups), compute (EC2, ECS, Lambda), and data (RDS, S3, DynamoDB) are separated into independent modules with clearly defined inputs and outputs. Variables are parameterized so the same module can be reused across environments with different sizing.
Configure State Management: The agent sets up remote state storage (e.g., S3 + DynamoDB for Terraform, Pulumi Cloud for Pulumi) with state locking to prevent concurrent modifications. State files contain sensitive data and are never committed to version control. The agent configures state encryption at rest and strict access controls on the state backend.
Execute Plan and Apply: The agent runs the plan step (terraform plan, pulumi preview) to generate a detailed diff of proposed changes, then presents the plan for user review before applying. The agent verifies that no unexpected resources are being destroyed or recreated. Only after explicit approval does the agent execute the apply step to provision infrastructure.
Detect and Remediate Drift: The agent periodically runs drift detection (terraform plan, pulumi refresh) to compare actual infrastructure state against the declared configuration. Any out-of-band changes made via the console or CLI are flagged and either reconciled back to the IaC definition or explicitly imported into state. This ensures the IaC code remains the single source of truth.
Provide the agent with your cloud provider, the resources to provision, sizing requirements, and any constraints such as compliance standards or cost budgets.
Example prompt:
Create Terraform configuration for an AWS environment with:
- VPC with public and private subnets across 2 AZs
- An EC2 bastion host in the public subnet
- An RDS PostgreSQL instance in the private subnet
- Security groups allowing SSH to bastion and app-to-database traffic onlymain.tf:
terraform {
required_version = ">= 1.5"
required_providers {
aws = {
source = "hashicorp/aws"
version = "~> 5.0"
}
}
backend "s3" {
bucket = "my-terraform-state"
key = "prod/terraform.tfstate"
region = "us-east-1"
dynamodb_table = "terraform-locks"
encrypt = true
}
}
provider "aws" {
region = var.aws_region
}
module "vpc" {
source = "terraform-aws-modules/vpc/aws"
version = "5.1.0"
name = "${var.project}-vpc"
cidr = "10.0.0.0/16"
azs = ["${var.aws_region}a", "${var.aws_region}b"]
public_subnets = ["10.0.1.0/24", "10.0.2.0/24"]
private_subnets = ["10.0.10.0/24", "10.0.20.0/24"]
enable_nat_gateway = true
single_nat_gateway = true
enable_dns_hostnames = true
tags = var.common_tags
}
resource "aws_security_group" "bastion" {
name_prefix = "${var.project}-bastion-"
vpc_id = module.vpc.vpc_id
ingress {
from_port = 22
to_port = 22
protocol = "tcp"
cidr_blocks = [var.allowed_ssh_cidr]
}
egress {
from_port = 0
to_port = 0
protocol = "-1"
cidr_blocks = ["0.0.0.0/0"]
}
tags = merge(var.common_tags, { Name = "${var.project}-bastion-sg" })
}
resource "aws_instance" "bastion" {
ami = data.aws_ami.amazon_linux.id
instance_type = "t3.micro"
subnet_id = module.vpc.public_subnets[0]
vpc_security_group_ids = [aws_security_group.bastion.id]
key_name = var.key_pair_name
associate_public_ip_address = true
tags = merge(var.common_tags, { Name = "${var.project}-bastion" })
}
resource "aws_security_group" "rds" {
name_prefix = "${var.project}-rds-"
vpc_id = module.vpc.vpc_id
ingress {
from_port = 5432
to_port = 5432
protocol = "tcp"
security_groups = [aws_security_group.bastion.id]
}
tags = merge(var.common_tags, { Name = "${var.project}-rds-sg" })
}
resource "aws_db_instance" "postgres" {
identifier = "${var.project}-db"
engine = "postgres"
engine_version = "16.1"
instance_class = var.db_instance_class
allocated_storage = 20
max_allocated_storage = 100
storage_encrypted = true
db_name = var.db_name
username = var.db_username
password = var.db_password
db_subnet_group_name = module.vpc.database_subnet_group_name
vpc_security_group_ids = [aws_security_group.rds.id]
skip_final_snapshot = false
final_snapshot_identifier = "${var.project}-db-final"
backup_retention_period = 7
multi_az = var.environment == "production"
tags = var.common_tags
}
data "aws_ami" "amazon_linux" {
most_recent = true
owners = ["amazon"]
filter {
name = "name"
values = ["al2023-ami-*-x86_64"]
}
}
output "bastion_public_ip" {
value = aws_instance.bastion.public_ip
}
output "rds_endpoint" {
value = aws_db_instance.postgres.endpoint
}variables.tf:
variable "aws_region" { default = "us-east-1" }
variable "project" { default = "myproject" }
variable "environment" { default = "production" }
variable "allowed_ssh_cidr" { description = "CIDR block allowed to SSH to bastion" }
variable "key_pair_name" { description = "EC2 key pair name" }
variable "db_instance_class" { default = "db.t3.medium" }
variable "db_name" { default = "appdb" }
variable "db_username" { default = "appuser" }
variable "db_password" { sensitive = true }
variable "common_tags" {
type = map(string)
default = { ManagedBy = "terraform", Project = "myproject" }
}import * as pulumi from "@pulumi/pulumi";
import * as aws from "@pulumi/aws";
import * as apigateway from "@pulumi/aws-apigateway";
const config = new pulumi.Config();
const stage = pulumi.getStack();
// DynamoDB table for the API
const table = new aws.dynamodb.Table("items-table", {
attributes: [{ name: "id", type: "S" }],
hashKey: "id",
billingMode: "PAY_PER_REQUEST",
tags: { Environment: stage, ManagedBy: "pulumi" },
});
// Lambda function for API handlers
const lambdaRole = new aws.iam.Role("api-lambda-role", {
assumeRolePolicy: JSON.stringify({
Version: "2012-10-17",
Statement: [{
Action: "sts:AssumeRole",
Effect: "Allow",
Principal: { Service: "lambda.amazonaws.com" },
}],
}),
});
new aws.iam.RolePolicyAttachment("lambda-basic", {
role: lambdaRole.name,
policyArn: aws.iam.ManagedPolicies.AWSLambdaBasicExecutionRole,
});
new aws.iam.RolePolicyAttachment("lambda-dynamodb", {
role: lambdaRole.name,
policyArn: aws.iam.ManagedPolicies.AmazonDynamoDBFullAccess,
});
const handler = new aws.lambda.Function("api-handler", {
runtime: aws.lambda.Runtime.NodeJS20dX,
handler: "index.handler",
code: new pulumi.asset.AssetArchive({
".": new pulumi.asset.FileArchive("./lambda"),
}),
role: lambdaRole.arn,
environment: {
variables: {
TABLE_NAME: table.name,
STAGE: stage,
},
},
memorySize: 256,
timeout: 30,
tags: { Environment: stage, ManagedBy: "pulumi" },
});
// API Gateway REST API
const api = new apigateway.RestAPI("items-api", {
routes: [
{ path: "/items", method: "GET", eventHandler: handler },
{ path: "/items", method: "POST", eventHandler: handler },
{ path: "/items/{id}", method: "GET", eventHandler: handler },
{ path: "/items/{id}", method: "DELETE", eventHandler: handler },
],
stageName: stage,
});
export const apiUrl = api.url;
export const tableName = table.name;sensitive in Terraform or use Pulumi's secret encryption. Never hardcode secrets in IaC files. Integrate with AWS Secrets Manager or HashiCorp Vault for runtime secret injection.terraform force-unlock (with the lock ID) only after confirming no other apply is running. Pulumi provides pulumi cancel for the same scenario.terraform plan regularly to detect drift and either revert the manual change or import it with terraform import. Avoid manual changes to IaC-managed resources.aws_security_group_rule resources.required_providers and upgrade deliberately with a tested plan/apply cycle.terraform_remote_state data sources to share outputs.© seb1n, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in devops-and-infrastructure/infrastructure-as-code of seb1n/awesome-ai-agent-skills.
Open the folder on GitHubat commit 75865a5
Infrastructure As Code next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Infrastructure As Code this skillseb1n/awesome-ai-agent-skills | 206 | — | ~3.3k | Automated safety check: Pass | MIT | |
| AWS Sst Developmentzxkane/aws-skills | 367 | — | ~2.7k | Automated safety check: Warn | MIT | |
| AWS Cloud Advisortech-leads-club/agent-skills | 7k | — | ~2.1k | Automated safety check: Pass | CC-BY-4.0 | |
| Audit Infrastructure As Codecyberful/cyberful | 134 | — | ~649 | Automated safety check: Pass | AGPL-3.0 | |
| AWS Architecture Diagramawslabs/agent-plugins | 912 | — | ~3.8k | Automated safety check: Notes | Apache-2.0 | |
| Document Serviceawslabs/agent-plugins | 912 | — | ~4.4k | Automated safety check: Pass | Apache-2.0 |
zxkane/aws-skills
SST v4 (Ion) expert for managing AWS resources as code with the Pulumi-backed framework.
tech-leads-club/agent-skills
Answers AWS architecture, security and service-selection questions by searching AWS documentation through MCP tools first, then adapting advice to your stack and team.
cyberful/cyberful
Audit infrastructure-as-code artifacts for unsafe defaults, policy gaps, privilege exposure, control drift, and deployment-impact evidence.
awslabs/agent-plugins
Generate validated AWS architecture diagrams as draw.io XML using official AWS4 icon libraries.
awslabs/agent-plugins
This skill should be used when the user asks to "analyze this codebase", "document this service", "generate technical docs", "I inherited this code", "help me understand this system", "create docs…
hardw00t/ai-security-arsenal
Infrastructure-as-Code security scanning router for Terraform, CloudFormation, Kubernetes manifests, Helm, ARM/Bicep.
seb1n/awesome-ai-agent-skills
Plan, execute, document, and retest authorized security assessments of AI agents and multi-agent workflows using safe adversarial cases, synthetic identities, canaries, and evidence-based findings.
seb1n/awesome-ai-agent-skills
Build a preliminary, evidence-based EU AI Act readiness assessment across AI-system inventory, territorial scope, operator roles, prohibited-practice screening, risk classification, transparency…
seb1n/awesome-ai-agent-skills
Design and verify auditable human oversight, approval gates, escalation paths, and safe state transitions for AI agent workflows.
seb1n/awesome-ai-agent-skills
Design, implement, harden, and verify Model Context Protocol (MCP) servers with precise tool contracts, least-privilege authorization, safe transports, structured errors, and interoperability tests.
seb1n/awesome-ai-agent-skills
Inspect, extract, OCR, create, merge, split, reorder, rotate, annotate, fill, redact, compress, secure, and verify PDF documents while preserving source files and visual fidelity.
seb1n/awesome-ai-agent-skills
Audit agent skills, plugins, prompts, manifests, scripts, dependencies, and bundled assets for provenance, prompt-injection, permission, execution, exfiltration, persistence, and update risk.
Categories
Define, deploy, and manage cloud infrastructure as code using tools like Terraform, Pulumi, CloudFormation, and CDK, ensuring consistency, repeatability, and version control. Infrastructure As Code is an agent skill from seb1n/awesome-ai-agent-skills. Define, deploy, and manage cloud infrastructure as code using tools like Terraform, Pulumi, CloudFormation, and CDK, ensuring consistency, repeatability, and version control.
Infrastructure As Code fits situations like: the user requests infrastructure as code; provides relevant inputs for this workflow.
Run `npx skills add seb1n/awesome-ai-agent-skills --skill infrastructure-as-code -a claude-code`. Or copy the skill folder (devops-and-infrastructure/infrastructure-as-code in seb1n/awesome-ai-agent-skills) into .claude/skills/infrastructure-as-code in your project. Claude Code loads it when a task matches its description.
Run `npx skills add seb1n/awesome-ai-agent-skills --skill infrastructure-as-code -a codex`. Or copy the skill folder (devops-and-infrastructure/infrastructure-as-code in seb1n/awesome-ai-agent-skills) into .agents/skills/infrastructure-as-code in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add seb1n/awesome-ai-agent-skills --skill infrastructure-as-code -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/infrastructure-as-code, .gemini/skills/infrastructure-as-code, .github/skills/infrastructure-as-code and .opencode/skills/infrastructure-as-code in your project.
Going by SKILL.md and its folder, Infrastructure As Code needs the command-line tools its instructions call (terraform and pulumi).
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Infrastructure As Code is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 3.3k tokens (SKILL.md is roughly 13k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Infrastructure As Code: AWS Sst Development (zxkane/aws-skills, 367 stars), AWS Cloud Advisor (tech-leads-club/agent-skills, 7k stars), Audit Infrastructure As Code (cyberful/cyberful, 134 stars) and AWS Architecture Diagram (awslabs/agent-plugins, 912 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
seb1n (a GitHub user) maintains it in seb1n/awesome-ai-agent-skills, which has 206 GitHub stars. The repository holds 92 skills in this directory. The repository was last updated on August 9, 2026.
Source: seb1n/awesome-ai-agent-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.