- Skill ID
- aws/agent-toolkit-for-aws/processing-s3-uploads-with-step-functions
- Publisher
- aws
- Repository
- agent-toolkit-for-aws
- Installs
- 0
- Files
- 12
- Synced
- Sep 23, 2026
Open any RiverX project, open the Skills panel in the chat, and search for this identifier. The files are fetched from the source repository at install time.
aws/agent-toolkit-for-aws/processing-s3-uploads-with-step-functionsInstalls these files- SKILL.md
- references/ecs-task-definition.md
- references/iam-roles.md
- scripts/Dockerfile
- scripts/ecs-trust-policy.json
- scripts/eventbridge-trust-policy.json
- scripts/fargate_processor.py
- scripts/lambda-trust-policy.json
- scripts/lambda_function.py
- scripts/requirements.txt
- scripts/statemachine.asl.json
- scripts/stepfunctions-trust-policy.json
What this skill tells the agent
Step Functions Workflow: Route S3 Uploads to Lambda or Fargate
Overview
This skill deploys an event-driven workflow using AWS CLI. When a file is uploaded to an S3 bucket, EventBridge triggers a Step Functions state machine. The state machine checks the file size and routes processing to either a Lambda function (files ≤ 6 MB) or a Fargate task (files > 6 MB).
The architecture includes:
- An S3 bucket with EventBridge notifications enabled
- An EventBridge rule that triggers Step Functions on S3 object creation
- A Step Functions state machine with a Choice state for routing
- A Lambda function for processing small files
- An ECS Fargate task for processing large files
- A VPC with two subnets, internet gateway, and security group
- An ECR repository for the Fargate container image
- Scoped IAM roles for Lambda, Step Functions, and ECS tasks
Use this skill when:
- You need to process S3 uploads with different compute based on file size
- You want a serverless workflow that can handle both small and large files
- You need Step Functions orchestration with Lambda and Fargate
Do not use this skill when:
- All files are small enough for Lambda (use S3 → Lambda directly)
- You need real-time streaming (use Kinesis)
- You don't need file-size-based routing
Prerequisites
- AWS CLI v2 — Installed and configured. Verify with
aws sts get-caller-identity. - Python 3.12 — For the Lambda function runtime.
- Docker — For building and pushing the Fargate container image.
Parameters
- bucket_name (required): Name for the S3 bucket (globally unique, lowercase, 3-63 characters)
- region (required): AWS region for all resources
- ecr_repo_name (required): Name for the ECR repository
- state_machine_name (required): Name for the Step Functions state machine
- kms_key_arn (optional): ARN of a KMS key for CloudWatch Logs encryption. If not provided, create one with
aws kms create-key --description "Key for CloudWatch Logs encryption" --region {region}
Constraints for parameter acquisition:
- You MUST ask for all required parameters upfront in a single prompt
- You MUST support multiple input methods (direct input, file path, URL)
- You MUST confirm successful acquisition of all parameters before proceeding
- You MUST validate that bucket_name follows S3 naming rules
Procedures
Step 0: Verify Dependencies
Constraints:
- You MUST verify the following tools are available: aws-cli, python3 (3.12+), docker
- You MUST inform the user about any missing tools with a clear message
- You MUST ask if the user wants to proceed despite missing tools
- You MUST respect the customer's decision to abort at any point
- You MUST explain to the customer what step is being executed, why, and which tool is being called
Step 1: Retrieve AWS Account ID
Constraints:
- You MUST retrieve the account ID with:
aws sts get-caller-identity --query 'Account' --output text - You MUST store the result as {account_id} for use in all subsequent steps
- You MUST abort if credentials are not configured
Step 2: Get the Default VPC and Networking
Constraints:
- You MUST retrieve the default VPC ID with:
aws ec2 describe-vpcs --filters Name=isDefault,Values=true --query 'Vpcs[0].VpcId' --output text --region {region} - If no default VPC exists, inform the user they must create one with
aws ec2 create-default-vpc --region {region}or provide a VPC ID manually - You MUST retrieve two subnet IDs from the default VPC:
aws ec2 describe-subnets --filters Name=vpc-id,Values={vpc_id} --query 'Subnets[0:2].SubnetId' --output text --region {region} - You MUST create a security group in the default VPC:
aws ec2 create-security-group --group-name fargate-sg --description "Security group for Fargate tasks" --vpc-id {vpc_id} --region {region} - You MUST configure security group egress rules to allow only HTTPS and DNS outbound. First revoke the default allow-all egress rule:
aws ec2 revoke-security-group-egress --group-id {sg_id} --ip-permissions IpProtocol=-1,IpRanges='[{CidrIp=0.0.0.0/0}]' --region {region}Then add scoped rules:aws ec2 authorize-security-group-egress --group-id {sg_id} --protocol tcp --port 443 --cidr 0.0.0.0/0 --region {region}andaws ec2 authorize-security-group-egress --group-id {sg_id} --protocol udp --port 53 --cidr 0.0.0.0/0 --region {region} - You MUST recommend VPC endpoints for S3 and CloudWatch Logs for production workloads to avoid internet-routed traffic and eliminate the need for broad egress rules
- You MUST capture {vpc_id}, {subnet1_id}, {subnet2_id}, and {sg_id} for use in later steps
Step 3: Create the ECR Repository
Constraints:
- You MUST create the repository with:
aws ecr create-repository --repository-name {ecr_repo_name} --region {region} - You MUST capture the repositoryUri from the response
Step 4: Build and Push the Container Image
Constraints:
- You MUST verify Docker is installed by running
docker --version. If Docker is not installed, instruct the user to install it from https://docs.docker.com/get-docker/ and abort until it is available - You MUST authenticate Docker with ECR:
aws ecr get-login-password --region {region} | docker login --username AWS --password-stdin {account_id}.dkr.ecr.{region}.amazonaws.com - The Dockerfile and processor code are in
scripts/Dockerfileandscripts/fargate_processor.py - You MUST build and push the image from the scripts directory:
cd scripts
docker build --platform linux/amd64 -t {ecr_repo_name} .
docker tag {ecr_repo_name}:latest {account_id}.dkr.ecr.{region}.amazonaws.com/{ecr_repo_name}:latest
docker push {account_id}.dkr.ecr.{region}.amazonaws.com/{ecr_repo_name}:latest
cd ..Step 5: Create IAM Roles
Follow the detailed instructions in references/iam-roles.md to create all IAM roles (Lambda, ECS task execution, ECS task, Step Functions, and EventBridge roles).
- You MUST wait at least 10 seconds for IAM role propagation
Step 6: Create the Lambda Function
Constraints:
- The function code is in
scripts/lambda_function.py - You MUST be in the skill root directory before packaging and creating the function
- You MUST package it with:
python3 -c "import zipfile,io; z=io.BytesIO(); f=zipfile.ZipFile(z,'w'); f.writestr('lambda_function.py', open('scripts/lambda_function.py').read()); f.close(); open('/tmp/lambda_function.zip','wb').write(z.getvalue())" - You MUST create the function with:
aws lambda create-function \
--function-name sfn-file-processor \
--runtime python3.12 \
--handler lambda_function.lambda_handler \
--role arn:aws:iam::{account_id}:role/sfn-lambda-role \
--zip-file fileb:///tmp/lambda_function.zip \
--timeout 60 \
--architectures x86_64 \
--region {region}- You MUST verify the function was created with:
aws lambda get-function --function-name sfn-file-processor --region {region}
Step 7: Create the CloudWatch Log Group
Constraints:
- You MUST create the log group for Fargate:
aws logs create-log-group --log-group-name /StepFunctionFargateTask --region {region} - You MUST encrypt the log group with a KMS key:
aws logs associate-kms-key --log-group-name /StepFunctionFargateTask --kms-key-arn {kms_key_arn} --region {region}
Step 8: Create the ECS Cluster and Task Definition
Follow the detailed instructions in references/ecs-task-definition.md to create the ECS cluster and register the Fargate task definition.
- You MUST capture the task definition ARN from the response
Step 9: Create the S3 Bucket with EventBridge Notifications
Constraints:
- You MUST create the bucket with:
aws s3api create-bucket --bucket {bucket_name} --region {region} --create-bucket-configuration LocationConstraint={region} - You MUST NOT include
--create-bucket-configurationif region is us-east-1 - You MUST enable EventBridge notifications on the bucket:
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