aws
π―Skillfrom lobbi-docs/claude
Manages AWS cloud services, enabling infrastructure provisioning, deployment, and integration across EC2, EKS, S3, Lambda, and IAM.
Installation
npx skills add https://github.com/lobbi-docs/claude --skill awsSkill Details
AWS cloud services including EC2, EKS, S3, Lambda, RDS, and IAM. Activate for AWS infrastructure, cloud deployment, and Amazon Web Services integration.
Overview
# AWS Skill
Provides comprehensive AWS cloud capabilities for the Golden Armada AI Agent Fleet Platform.
When to Use This Skill
Activate this skill when working with:
- AWS infrastructure provisioning
- EKS cluster management
- S3 storage operations
- Lambda functions
- IAM and security
AWS CLI Quick Reference
Configuration
\\\`bash
# Configure credentials
aws configure
# Check identity
aws sts get-caller-identity
# Set profile
export AWS_PROFILE=production
aws s3 ls --profile production
\\\`
EC2
\\\`bash
# List instances
aws ec2 describe-instances --query 'Reservations[].Instances[].[InstanceId,State.Name,Tags[?Key==Name].Value]'
# Start/Stop
aws ec2 start-instances --instance-ids i-1234567890
aws ec2 stop-instances --instance-ids i-1234567890
# Create instance
aws ec2 run-instances \
--image-id ami-12345678 \
--instance-type t3.medium \
--key-name my-key \
--security-group-ids sg-12345678 \
--subnet-id subnet-12345678 \
--tag-specifications 'ResourceType=instance,Tags=[{Key=Name,Value=my-instance}]'
\\\`
EKS
\\\`bash
# List clusters
aws eks list-clusters
# Update kubeconfig
aws eks update-kubeconfig --name golden-armada-cluster --region us-west-2
# Describe cluster
aws eks describe-cluster --name golden-armada-cluster
# Create cluster (with eksctl)
eksctl create cluster \
--name golden-armada-cluster \
--region us-west-2 \
--nodegroup-name workers \
--node-type t3.medium \
--nodes 3 \
--managed
\\\`
S3
\\\`bash
# List buckets
aws s3 ls
# List objects
aws s3 ls s3://bucket-name/
# Copy files
aws s3 cp file.txt s3://bucket-name/
aws s3 cp s3://bucket-name/file.txt .
aws s3 sync ./local-dir s3://bucket-name/prefix/
# Presigned URL
aws s3 presign s3://bucket-name/file.txt --expires-in 3600
\\\`
Lambda
\\\`bash
# List functions
aws lambda list-functions
# Invoke function
aws lambda invoke \
--function-name my-function \
--payload '{"key": "value"}' \
response.json
# Update function code
aws lambda update-function-code \
--function-name my-function \
--zip-file fileb://function.zip
# View logs
aws logs filter-log-events \
--log-group-name /aws/lambda/my-function \
--start-time $(date -d '1 hour ago' +%s000)
\\\`
RDS
\\\`bash
# List instances
aws rds describe-db-instances
# Create snapshot
aws rds create-db-snapshot \
--db-instance-identifier golden-armada-db \
--db-snapshot-identifier snapshot-$(date +%Y%m%d)
# Modify instance
aws rds modify-db-instance \
--db-instance-identifier golden-armada-db \
--db-instance-class db.t3.large \
--apply-immediately
\\\`
IAM
\\\`bash
# List users
aws iam list-users
# Create role
aws iam create-role \
--role-name agent-role \
--assume-role-policy-document file://trust-policy.json
# Attach policy
aws iam attach-role-policy \
--role-name agent-role \
--policy-arn arn:aws:iam::aws:policy/AmazonS3ReadOnlyAccess
\\\`
Boto3 Python SDK
\\\`python
import boto3
# S3 operations
s3 = boto3.client('s3')
# Upload file
s3.upload_file('local.txt', 'bucket-name', 'remote.txt')
# Download file
s3.download_file('bucket-name', 'remote.txt', 'local.txt')
# List objects
response = s3.list_objects_v2(Bucket='bucket-name', Prefix='prefix/')
for obj in response.get('Contents', []):
print(obj['Key'])
# EC2 operations
ec2 = boto3.resource('ec2')
# Get all running instances
instances = ec2.instances.filter(
Filters=[{'Name': 'instance-state-name', 'Values': ['running']}]
)
for instance in instances:
print(f"{instance.id}: {instance.instance_type}")
# Lambda invocation
lambda_client = boto3.client('lambda')
response = lambda_client.invoke(
FunctionName='my-function',
InvocationType='RequestResponse',
Payload=json.dumps({'key': 'value'})
)
result = json.loads(response['Payload'].read())
\\\`
Terraform AWS Resources
\\\`hcl
# VPC
resource "aws_vpc" "main" {
cidr_block = "10.0.0.0/16"
enable_dns_hostnames = true
enable_dns_support = true
tags = {
Name = "golden-armada-vpc"
}
}
# EKS Cluster
resource "aws_eks_cluster" "main" {
name = "golden-armada-cluster"
role_arn = aws_iam_role.cluster.arn
version = "1.28"
vpc_config {
subnet_ids = aws_subnet.private[*].id
}
}
# RDS Instance
resource "aws_db_instance" "main" {
identifier = "golden-armada-db"
engine = "postgres"
engine_version = "15"
instance_class = "db.t3.medium"
allocated_storage = 20
db_name = "golden_armada"
username = var.db_username
password = var.db_password
vpc_security_group_ids = [aws_security_group.db.id]
db_subnet_group_name = aws_db_subnet_group.main.name
skip_final_snapshot = true
}
\\\`
Best Practices
- Use IAM Roles instead of access keys
- Enable CloudTrail for audit logging
- Tag all resources for cost tracking
- Use VPC for network isolation
- Enable encryption at rest and in transit
- Implement least privilege IAM policies
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