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Aws Vpc

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BagelHole
aws-vpc

Design and implement VPCs and networking. Configure subnets, route tables, and security groups. Use when setting up AWS network infrastructure.

Overview

PublisherBagelHole
RepositoryDevOps-Security-Agent-Skills
Skill nameaws-vpc
Stars
1.1K
Forks
161
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by BagelHole on GitHub. Read the source before you install it.

Installation

Install the Aws Vpc AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/BagelHole/DevOps-Security-Agent-Skills/tree/main/infrastructure/cloud-aws/aws-vpc
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/BagelHole/DevOps-Security-Agent-Skills.git /tmp/DevOps-Security-Agent-Skills
mkdir -p .claude/skills
cp -r /tmp/DevOps-Security-Agent-Skills/infrastructure/cloud-aws/aws-vpc .claude/skills/aws-vpc
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Aws Vpc in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Aws Vpc on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Aws Vpc is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

AWS VPC

Design and manage Virtual Private Cloud networking for production AWS environments with proper subnet isolation, routing, and security.

When to Use This Skill

  • Building a new VPC for production, staging, or development
  • Setting up public/private subnet architecture across multiple AZs
  • Configuring NAT Gateways for private subnet internet access
  • Creating security groups and NACLs for network segmentation
  • Setting up VPC peering or Transit Gateway for multi-VPC connectivity
  • Implementing VPC endpoints for private access to AWS services
  • Troubleshooting connectivity issues between resources

Prerequisites

  • AWS CLI v2 installed and configured
  • IAM permissions: ec2:* (or scoped to VPC-related actions)
  • CIDR range planning completed (avoid overlaps with on-premises or other VPCs)
  • For VPC peering: access to both VPCs (same or different accounts)

Network Architecture

VPC (10.0.0.0/16) - 65,536 IPs
├── Public Subnets (internet-facing via IGW)
│   ├── 10.0.1.0/24 (us-east-1a) - 256 IPs - ALBs, NAT GW, bastion
│   ├── 10.0.2.0/24 (us-east-1b) - 256 IPs
│   └── 10.0.3.0/24 (us-east-1c) - 256 IPs
├── Private Subnets (app tier, NAT GW for outbound)
│   ├── 10.0.11.0/24 (us-east-1a) - 256 IPs - ECS, EC2, Lambda
│   ├── 10.0.12.0/24 (us-east-1b) - 256 IPs
│   └── 10.0.13.0/24 (us-east-1c) - 256 IPs
├── Data Subnets (isolated, no internet)
│   ├── 10.0.21.0/24 (us-east-1a) - 256 IPs - RDS, ElastiCache
│   ├── 10.0.22.0/24 (us-east-1b) - 256 IPs
│   └── 10.0.23.0/24 (us-east-1c) - 256 IPs
├── Internet Gateway
├── NAT Gateways (one per AZ for HA)
├── Route Tables (public, private, data)
└── VPC Flow Logs → CloudWatch / S3

Create a VPC with CLI

bash
# Create the VPC
VPC_ID=$(aws ec2 create-vpc \
  --cidr-block 10.0.0.0/16 \
  --tag-specifications 'ResourceType=vpc,Tags=[{Key=Name,Value=production-vpc},{Key=Environment,Value=production}]' \
  --query 'Vpc.VpcId' --output text)

# Enable DNS support and hostnames
aws ec2 modify-vpc-attribute --vpc-id $VPC_ID --enable-dns-support '{"Value":true}'
aws ec2 modify-vpc-attribute --vpc-id $VPC_ID --enable-dns-hostnames '{"Value":true}'

# Create public subnets
PUB_SUB_A=$(aws ec2 create-subnet \
  --vpc-id $VPC_ID \
  --cidr-block 10.0.1.0/24 \
  --availability-zone us-east-1a \
  --tag-specifications 'ResourceType=subnet,Tags=[{Key=Name,Value=public-a},{Key=Tier,Value=public}]' \
  --query 'Subnet.SubnetId' --output text)

PUB_SUB_B=$(aws ec2 create-subnet \
  --vpc-id $VPC_ID \
  --cidr-block 10.0.2.0/24 \
  --availability-zone us-east-1b \
  --tag-specifications 'ResourceType=subnet,Tags=[{Key=Name,Value=public-b},{Key=Tier,Value=public}]' \
  --query 'Subnet.SubnetId' --output text)

# Enable auto-assign public IP on public subnets
aws ec2 modify-subnet-attribute --subnet-id $PUB_SUB_A --map-public-ip-on-launch
aws ec2 modify-subnet-attribute --subnet-id $PUB_SUB_B --map-public-ip-on-launch

# Create private subnets
PRIV_SUB_A=$(aws ec2 create-subnet \
  --vpc-id $VPC_ID \
  --cidr-block 10.0.11.0/24 \
  --availability-zone us-east-1a \
  --tag-specifications 'ResourceType=subnet,Tags=[{Key=Name,Value=private-a},{Key=Tier,Value=private}]' \
  --query 'Subnet.SubnetId' --output text)

PRIV_SUB_B=$(aws ec2 create-subnet \
  --vpc-id $VPC_ID \
  --cidr-block 10.0.12.0/24 \
  --availability-zone us-east-1b \
  --tag-specifications 'ResourceType=subnet,Tags=[{Key=Name,Value=private-b},{Key=Tier,Value=private}]' \
  --query 'Subnet.SubnetId' --output text)

# Create data subnets (isolated)
DATA_SUB_A=$(aws ec2 create-subnet \
  --vpc-id $VPC_ID \
  --cidr-block 10.0.21.0/24 \
  --availability-zone us-east-1a \
  --tag-specifications 'ResourceType=subnet,Tags=[{Key=Name,Value=data-a},{Key=Tier,Value=data}]' \
  --query 'Subnet.SubnetId' --output text)

DATA_SUB_B=$(aws ec2 create-subnet \
  --vpc-id $VPC_ID \
  --cidr-block 10.0.22.0/24 \
  --availability-zone us-east-1b \
  --tag-specifications 'ResourceType=subnet,Tags=[{Key=Name,Value=data-b},{Key=Tier,Value=data}]' \
  --query 'Subnet.SubnetId' --output text)

Internet Gateway and NAT Gateway

bash
# Create and attach Internet Gateway
IGW_ID=$(aws ec2 create-internet-gateway \
  --tag-specifications 'ResourceType=internet-gateway,Tags=[{Key=Name,Value=production-igw}]' \
  --query 'InternetGateway.InternetGatewayId' --output text)
aws ec2 attach-internet-gateway --vpc-id $VPC_ID --internet-gateway-id $IGW_ID

# Create public route table
PUB_RT=$(aws ec2 create-route-table \
  --vpc-id $VPC_ID \
  --tag-specifications 'ResourceType=route-table,Tags=[{Key=Name,Value=public-rt}]' \
  --query 'RouteTable.RouteTableId' --output text)
aws ec2 create-route --route-table-id $PUB_RT --destination-cidr-block 0.0.0.0/0 --gateway-id $IGW_ID
aws ec2 associate-route-table --route-table-id $PUB_RT --subnet-id $PUB_SUB_A
aws ec2 associate-route-table --route-table-id $PUB_RT --subnet-id $PUB_SUB_B

# Allocate Elastic IPs for NAT Gateways (one per AZ for HA)
EIP_A=$(aws ec2 allocate-address --domain vpc --query 'AllocationId' --output text)
EIP_B=$(aws ec2 allocate-address --domain vpc --query 'AllocationId' --output text)

# Create NAT Gateways in public subnets
NAT_A=$(aws ec2 create-nat-gateway \
  --subnet-id $PUB_SUB_A \
  --allocation-id $EIP_A \
  --tag-specifications 'ResourceType=natgateway,Tags=[{Key=Name,Value=nat-a}]' \
  --query 'NatGateway.NatGatewayId' --output text)

NAT_B=$(aws ec2 create-nat-gateway \
  --subnet-id $PUB_SUB_B \
  --allocation-id $EIP_B \
  --tag-specifications 'ResourceType=natgateway,Tags=[{Key=Name,Value=nat-b}]' \
  --query 'NatGateway.NatGatewayId' --output text)

# Wait for NAT Gateways
aws ec2 wait nat-gateway-available --nat-gateway-ids $NAT_A $NAT_B

# Create private route tables (one per AZ for HA NAT)
PRIV_RT_A=$(aws ec2 create-route-table \
  --vpc-id $VPC_ID \
  --tag-specifications 'ResourceType=route-table,Tags=[{Key=Name,Value=private-rt-a}]' \
  --query 'RouteTable.RouteTableId' --output text)
aws ec2 create-route --route-table-id $PRIV_RT_A --destination-cidr-block 0.0.0.0/0 --nat-gateway-id $NAT_A
aws ec2 associate-route-table --route-table-id $PRIV_RT_A --subnet-id $PRIV_SUB_A

PRIV_RT_B=$(aws ec2 create-route-table \
  --vpc-id $VPC_ID \
  --tag-specifications 'ResourceType=route-table,Tags=[{Key=Name,Value=private-rt-b}]' \
  --query 'RouteTable.RouteTableId' --output text)
aws ec2 create-route --route-table-id $PRIV_RT_B --destination-cidr-block 0.0.0.0/0 --nat-gateway-id $NAT_B
aws ec2 associate-route-table --route-table-id $PRIV_RT_B --subnet-id $PRIV_SUB_B

Security Groups

bash
# ALB security group (public-facing)
ALB_SG=$(aws ec2 create-security-group \
  --group-name alb-sg \
  --description "Application Load Balancer" \
  --vpc-id $VPC_ID \
  --query 'GroupId' --output text)
aws ec2 authorize-security-group-ingress --group-id $ALB_SG --protocol tcp --port 443 --cidr 0.0.0.0/0
aws ec2 authorize-security-group-ingress --group-id $ALB_SG --protocol tcp --port 80 --cidr 0.0.0.0/0

# Application security group (only from ALB)
APP_SG=$(aws ec2 create-security-group \
  --group-name app-sg \
  --description "Application tier" \
  --vpc-id $VPC_ID \
  --query 'GroupId' --output text)
aws ec2 authorize-security-group-ingress \
  --group-id $APP_SG \
  --protocol tcp \
  --port 8080 \
  --source-group $ALB_SG

# Database security group (only from app tier)
DB_SG=$(aws ec2 create-security-group \
  --group-name db-sg \
  --description "Database tier" \
  --vpc-id $VPC_ID \
  --query 'GroupId' --output text)
aws ec2 authorize-security-group-ingress \
  --group-id $DB_SG \
  --protocol tcp \
  --port 5432 \
  --source-group $APP_SG

# List all security groups in the VPC
aws ec2 describe-security-groups \
  --filters "Name=vpc-id,Values=$VPC_ID" \
  --query "SecurityGroups[].{Name:GroupName,ID:GroupId,Description:Description}" \
  --output table

VPC Endpoints (Private Access to AWS Services)

bash
# Gateway endpoint for S3 (free, route-table based)
aws ec2 create-vpc-endpoint \
  --vpc-id $VPC_ID \
  --service-name com.amazonaws.us-east-1.s3 \
  --route-table-ids $PRIV_RT_A $PRIV_RT_B \
  --tag-specifications 'ResourceType=vpc-endpoint,Tags=[{Key=Name,Value=s3-endpoint}]'

# Gateway endpoint for DynamoDB (free)
aws ec2 create-vpc-endpoint \
  --vpc-id $VPC_ID \
  --service-name com.amazonaws.us-east-1.dynamodb \
  --route-table-ids $PRIV_RT_A $PRIV_RT_B

# Interface endpoint for Secrets Manager (ENI-based, has hourly cost)
aws ec2 create-vpc-endpoint \
  --vpc-id $VPC_ID \
  --vpc-endpoint-type Interface \
  --service-name com.amazonaws.us-east-1.secretsmanager \
  --subnet-ids $PRIV_SUB_A $PRIV_SUB_B \
  --security-group-ids $APP_SG \
  --private-dns-enabled \
  --tag-specifications 'ResourceType=vpc-endpoint,Tags=[{Key=Name,Value=secretsmanager-endpoint}]'

VPC Flow Logs

bash
# Enable VPC flow logs to CloudWatch
aws ec2 create-flow-log \
  --resource-type VPC \
  --resource-ids $VPC_ID \
  --traffic-type ALL \
  --log-destination-type cloud-watch-logs \
  --log-group-name /vpc/production-flow-logs \
  --deliver-logs-permission-arn arn:aws:iam::123456789012:role/VPCFlowLogRole \
  --max-aggregation-interval 60 \
  --tag-specifications 'ResourceType=vpc-flow-log,Tags=[{Key=Name,Value=production-flow-log}]'

# Enable VPC flow logs to S3 (cheaper for long-term storage)
aws ec2 create-flow-log \
  --resource-type VPC \
  --resource-ids $VPC_ID \
  --traffic-type ALL \
  --log-destination-type s3 \
  --log-destination arn:aws:s3:::my-flow-logs-bucket/vpc-logs/ \
  --max-aggregation-interval 60

VPC Peering

bash
# Request peering connection
PEERING_ID=$(aws ec2 create-vpc-peering-connection \
  --vpc-id vpc-requester \
  --peer-vpc-id vpc-accepter \
  --peer-owner-id 987654321098 \
  --peer-region us-west-2 \
  --tag-specifications 'ResourceType=vpc-peering-connection,Tags=[{Key=Name,Value=prod-to-shared}]' \
  --query 'VpcPeeringConnection.VpcPeeringConnectionId' --output text)

# Accept peering (from the accepter account/region)
aws ec2 accept-vpc-peering-connection --vpc-peering-connection-id $PEERING_ID

# Add routes in both VPCs
aws ec2 create-route --route-table-id rtb-requester --destination-cidr-block 10.1.0.0/16 --vpc-peering-connection-id $PEERING_ID
aws ec2 create-route --route-table-id rtb-accepter --destination-cidr-block 10.0.0.0/16 --vpc-peering-connection-id $PEERING_ID

Terraform VPC Module

hcl
resource "aws_vpc" "main" {
  cidr_block           = "10.0.0.0/16"
  enable_dns_support   = true
  enable_dns_hostnames = true

  tags = {
    Name        = "production-vpc"
    Environment = "production"
  }
}

resource "aws_subnet" "public" {
  count                   = 3
  vpc_id                  = aws_vpc.main.id
  cidr_block              = cidrsubnet(aws_vpc.main.cidr_block, 8, count.index + 1)
  availability_zone       = data.aws_availability_zones.available.names[count.index]
  map_public_ip_on_launch = true

  tags = {
    Name = "public-${data.aws_availability_zones.available.names[count.index]}"
    Tier = "public"
  }
}

resource "aws_subnet" "private" {
  count             = 3
  vpc_id            = aws_vpc.main.id
  cidr_block        = cidrsubnet(aws_vpc.main.cidr_block, 8, count.index + 11)
  availability_zone = data.aws_availability_zones.available.names[count.index]

  tags = {
    Name = "private-${data.aws_availability_zones.available.names[count.index]}"
    Tier = "private"
  }
}

resource "aws_subnet" "data" {
  count             = 3
  vpc_id            = aws_vpc.main.id
  cidr_block        = cidrsubnet(aws_vpc.main.cidr_block, 8, count.index + 21)
  availability_zone = data.aws_availability_zones.available.names[count.index]

  tags = {
    Name = "data-${data.aws_availability_zones.available.names[count.index]}"
    Tier = "data"
  }
}

resource "aws_internet_gateway" "main" {
  vpc_id = aws_vpc.main.id
  tags   = { Name = "production-igw" }
}

resource "aws_eip" "nat" {
  count  = 2
  domain = "vpc"
  tags   = { Name = "nat-eip-${count.index}" }
}

resource "aws_nat_gateway" "main" {
  count         = 2
  allocation_id = aws_eip.nat[count.index].id
  subnet_id     = aws_subnet.public[count.index].id
  tags          = { Name = "nat-${count.index}" }
}

resource "aws_route_table" "public" {
  vpc_id = aws_vpc.main.id
  route {
    cidr_block = "0.0.0.0/0"
    gateway_id = aws_internet_gateway.main.id
  }
  tags = { Name = "public-rt" }
}

resource "aws_route_table_association" "public" {
  count          = 3
  subnet_id      = aws_subnet.public[count.index].id
  route_table_id = aws_route_table.public.id
}

resource "aws_route_table" "private" {
  count  = 2
  vpc_id = aws_vpc.main.id
  route {
    cidr_block     = "0.0.0.0/0"
    nat_gateway_id = aws_nat_gateway.main[count.index].id
  }
  tags = { Name = "private-rt-${count.index}" }
}

resource "aws_route_table_association" "private" {
  count          = 2
  subnet_id      = aws_subnet.private[count.index].id
  route_table_id = aws_route_table.private[count.index].id
}

resource "aws_vpc_endpoint" "s3" {
  vpc_id       = aws_vpc.main.id
  service_name = "com.amazonaws.${data.aws_region.current.name}.s3"
  route_table_ids = aws_route_table.private[*].id
  tags = { Name = "s3-endpoint" }
}

resource "aws_flow_log" "main" {
  vpc_id                 = aws_vpc.main.id
  traffic_type           = "ALL"
  log_destination_type   = "s3"
  log_destination        = "${aws_s3_bucket.flow_logs.arn}/vpc-logs/"
  max_aggregation_interval = 60
}

Troubleshooting

ProblemCauseFix
Cannot reach internet from private subnetNAT Gateway route missingAdd 0.0.0.0/0 route to NAT GW in private route table
Cannot reach internet from public subnetIGW not attached or route missingAttach IGW; add 0.0.0.0/0 route to IGW in public RT
EC2 cannot reach S3No VPC endpoint or NATAdd S3 gateway endpoint (free) or ensure NAT GW route
Security group rule not workingWrong direction (ingress vs egress)SG is stateful; check inbound rule on destination
NACL blocking trafficNACLs are stateless; need both directionsAdd matching inbound AND outbound rules with correct ports
VPC peering one-way onlyRoutes missing in one VPCAdd routes in BOTH VPC route tables
DNS resolution failingDNS hostnames not enabled on VPCEnable enableDnsHostnames on VPC
NAT Gateway charges highAll AZs routing through one NATDeploy NAT GW per AZ with separate route tables
Cross-AZ data transfer costsResources in different AZs communicatingCo-locate tightly coupled services in same AZ

Related Skills

Frequently asked questions

What does the Aws Vpc AI skill do?

Design and implement VPCs and networking. Configure subnets, route tables, and security groups. Use when setting up AWS network infrastructure.

Why use Aws Vpc on TypingMind?

Because you install it once and use it with any model. Aws Vpc is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Aws Vpc in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/BagelHole/DevOps-Security-Agent-Skills/tree/main/infrastructure/cloud-aws/aws-vpc. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Aws Vpc?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Aws Vpc?

As many as you like. As long as a model supports skills, you can use Aws Vpc with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Aws Vpc AI skill free?

Yes. It is published on GitHub by BagelHole under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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