Generated banner for Processing S3 Uploads With Step Functions
Generated logo for Processing S3 Uploads With Step Functions

Processing S3 Uploads With Step Functions

AWSOfficialPublished by AWS

  • Skill
  • Workflow
  • Cloud and DevOps
  • Apache-2.0
  • Low risk
  • Has scripts

From the author

Deploy an event-driven workflow that routes S3 uploads to either Lambda or Fargate via Step Functions based on file size. Uses EventBridge to trigger a Step Functions state machine when objects are uploaded to S3. Small files are processed by Lambda, large files by a Fargate task. Includes VPC, ECR repository, ECS cluster, and scoped IAM roles. Trigger keywords: Step Functions, Fargate, Lambda, S3 event, EventBridge, ECS, ECR, file processing, workflow orchestration, serverless.
— the description by AWS

AutoGineer summary

Written by AutoGineer from the skill’s own files, not by the author

This skill provides a structured procedure to deploy an event-driven architecture on AWS. It uses Amazon S3, EventBridge, and AWS Step Functions to orchestrate file processing. The workflow automatically routes incoming files to either an AWS Lambda function for small files (≤ 6 MB) or an Amazon ECS Fargate task for larger files, optimizing compute costs and performance. The deployment includes necessary networking, IAM roles, ECR repositories, and monitoring configurations.

What it does

  • Sets up an S3 bucket with EventBridge notifications for object creation.
  • Deploys a Step Functions state machine to route processing based on file size.
  • Configures an AWS Lambda function for lightweight file processing.
  • Configures an ECS Fargate cluster and task definition for heavy-duty processing.
  • Establishes secure IAM roles and VPC networking for the infrastructure.
  • Implements monitoring with CloudWatch logs, encryption, and a Dead Letter Queue.

When to use it

  • When you need to process S3 uploads with different compute requirements based on file size.
  • When you want a serverless, event-driven architecture for file handling.
  • When you need to orchestrate complex workflows involving both Lambda and Fargate.
  • When you want to optimize costs by offloading large file processing to Fargate.

Advantages

  • Cost-effective compute selection based on workload size.
  • Fully event-driven and serverless architecture.
  • Includes security best practices like scoped IAM roles and egress filtering.
  • Provides built-in monitoring and failure handling via Dead Letter Queues.

Usage examples

“Deploy the S3 file processing workflow in us-east-1.”
The agent will prompt for the bucket name, ECR repository name, and state machine name, then execute the multi-step deployment of AWS resources.
“Set up the S3 to Step Functions pipeline.”
The agent will guide you through verifying dependencies, creating the VPC infrastructure, building the container image, and configuring the state machine.

Install

  1. Download the skill as a ZIP:

    https://autogineer.com/agent-skills/aws/processing-s3-uploads-with-step-functions/download
  2. Unzip it into the cross-client skills folder of your project:

    mkdir -p .agents/skills && unzip processing-s3-uploads-with-step-functions.zip -d .agents/skills

Documentation by AWS

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

  1. AWS CLI v2 — Installed and configured. Verify with aws sts get-caller-identity.

  2. Python 3.12 — For the Lambda function runtime.

  3. 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} and aws 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/Dockerfile and scripts/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-configuration if region is us-east-1

  • You MUST enable EventBridge notifications on the bucket: aws s3api put-bucket-notification-configuration --bucket {bucket_name} --notification-configuration '{"EventBridgeConfiguration": {}}' --region {region}

  • You MUST enable default encryption on the bucket: aws s3api put-bucket-encryption --bucket {bucket_name} --server-side-encryption-configuration '{"Rules":[{"ApplyServerSideEncryptionByDefault":{"SSEAlgorithm":"aws:kms"}}]}' --region {region}

Step 10: Create the Step Functions State Machine

Constraints:

  • The state machine definition is in scripts/statemachine.asl.json

  • You MUST create a working copy and replace all placeholders:

    sed -e 's|${LambdaFunction}|arn:aws:lambda:{region}:{account_id}:function:sfn-file-processor|g' \
        -e 's|${Cluster}|arn:aws:ecs:{region}:{account_id}:cluster/sfn-cluster|g' \
        -e 's|${TaskDefinition}|{task_definition_arn}|g' \
        -e 's|${Subnet1}|{subnet1_id}|g' \
        -e 's|${Subnet2}|{subnet2_id}|g' \
        -e 's|${SecurityGroup}|{sg_id}|g' \
        scripts/statemachine.asl.json > /tmp/statemachine.asl.json
  • You MUST create the state machine with:

    aws stepfunctions create-state-machine \
        --name {state_machine_name} \
        --definition file:///tmp/statemachine.asl.json \
        --role-arn arn:aws:iam::{account_id}:role/sfn-state-machine-role \
        --type STANDARD \
        --region {region}
  • You MUST capture the stateMachineArn from the response

Step 11: Create the EventBridge Rule

Constraints:

  • You MUST create the EventBridge rule to trigger on S3 object creation:

    aws events put-rule \
        --name s3-to-stepfunctions \
        --event-pattern '{
          "source": ["aws.s3"],
          "detail-type": ["Object Created"],
          "detail": {
            "bucket": {
              "name": ["{bucket_name}"]
            }
          }
        }' \
        --region {region}
  • You MUST add the state machine as a target:

    aws events put-targets \
        --rule s3-to-stepfunctions \
        --targets '[{
          "Id": "StepFunctionsTarget",
          "Arn": "{state_machine_arn}",
          "RoleArn": "arn:aws:iam::{account_id}:role/sfn-eventbridge-role"
        }]' \
        --region {region}
Step 12: Configure Monitoring

Constraints:

  • You MUST create a Dead Letter Queue for failed EventBridge invocations: aws sqs create-queue --queue-name s3-to-stepfunctions-dlq --region {region}

  • You MUST update the EventBridge target to attach the DLQ:

    aws events put-targets \
        --rule s3-to-stepfunctions \
        --targets '[{
          "Id": "StepFunctionsTarget",
          "Arn": "{state_machine_arn}",
          "RoleArn": "arn:aws:iam::{account_id}:role/sfn-eventbridge-role",
          "DeadLetterConfig": {
            "Arn": "arn:aws:sqs:{region}:{account_id}:s3-to-stepfunctions-dlq"
          }
        }]' \
        --region {region}
  • You MUST create a CloudWatch alarm for Step Functions execution failures: aws cloudwatch put-metric-alarm --alarm-name sfn-execution-failures --metric-name ExecutionsFailed --namespace AWS/States --statistic Sum --period 300 --threshold 1 --comparison-operator GreaterThanOrEqualToThreshold --evaluation-periods 1 --dimensions Name=StateMachineArn,Value={state_machine_arn} --region {region}

Step 13: Validate

Constraints:

  • You MUST test with a small file (< 6 MB) to verify Lambda processing:

    echo 'test data' > /tmp/small-file.txt
    aws s3 cp /tmp/small-file.txt s3://{bucket_name}/small-file.txt --region {region}
  • You MUST wait 15 seconds then check the Step Functions execution: aws stepfunctions list-executions --state-machine-arn {state_machine_arn} --region {region}

  • You MUST verify the execution succeeded and routed to Lambda

  • You MUST provide a summary of all created resources including: VPC ID, subnet IDs, security group ID, ECR repo URI, ECS cluster ARN, task definition ARN, Lambda function ARN, state machine ARN, bucket name, and EventBridge rule name

Troubleshooting

EventBridge rule not triggering
  • Verify EventBridge notifications are enabled on the bucket: aws s3api get-bucket-notification-configuration --bucket {bucket_name}

  • Verify the rule exists: aws events describe-rule --name s3-to-stepfunctions --region {region}

  • Check that the target has the correct state machine ARN and role

Step Functions execution fails at Fargate task
  • Verify the container image exists in ECR: aws ecr describe-images --repository-name {ecr_repo_name} --region {region}

  • Check that the subnets have internet access (route table with IGW)

  • Verify the security group allows outbound traffic

  • Check CloudWatch Logs at /StepFunctionFargateTask

Lambda invocation fails
  • Check CloudWatch Logs: aws logs tail /aws/lambda/sfn-file-processor --region {region}

  • Verify the Step Functions role has lambda:InvokeFunction permission

IAM PassRole errors
  • The Step Functions role must have iam:PassRole for both the ECS execution role and task role ARNs

Fargate task stuck in PROVISIONING
  • Verify the subnets have auto-assign public IP enabled

  • Verify the internet gateway is attached and route table has 0.0.0.0/0 route

Security Considerations

  • Fargate tasks with public IPs are exposed to the internet. Revoke the default allow-all egress rule and configure scoped egress: aws ec2 revoke-security-group-egress --group-id {sg_id} --ip-permissions IpProtocol=-1,IpRanges='[{CidrIp=0.0.0.0/0}]' then add aws ec2 authorize-security-group-egress --group-id {sg_id} --protocol tcp --port 443 --cidr 0.0.0.0/0 and aws ec2 authorize-security-group-egress --group-id {sg_id} --protocol udp --port 53 --cidr 0.0.0.0/0. For production, consider using VPC endpoints for S3 and CloudWatch Logs instead of internet-routed traffic.

  • Scan container images for vulnerabilities before pushing to ECR. Enable ECR image scanning with: aws ecr put-image-scanning-configuration --repository-name {ecr_repo_name} --image-scanning-configuration scanOnPush=true --region {region}

  • Use IAM roles for credentials — never hardcode access keys in container code.

  • Enable encryption at rest for the S3 bucket: aws s3api put-bucket-encryption --bucket {bucket_name} --server-side-encryption-configuration '{"Rules":[{"ApplyServerSideEncryptionByDefault":{"SSEAlgorithm":"aws:kms"}}]}'

  • Enable CloudWatch Logs encryption for Fargate container logs: aws logs associate-kms-key --log-group-name /StepFunctionFargateTask --kms-key-arn <KMS_KEY_ARN>

  • Configure a Dead Letter Queue on the EventBridge rule for failed invocations

  • Set up CloudWatch alarms on Step Functions execution failures for operational visibility

Version information

  • AWS CLI: 2.x

  • Python runtime: 3.12

  • Last validated: 2026-04-27

Additional Resources

Files

LICENSE


                                 Apache License
                           Version 2.0, January 2004
                        http://www.apache.org/licenses/

   TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION

   1. Definitions.

      "License" shall mean the terms and conditions for use, reproduction,
      and distribution as defined by Sections 1 through 9 of this document.

      "Licensor" shall mean the copyright owner or entity authorized by
      the copyright owner that is granting the License.

      "Legal Entity" shall mean the union of the acting entity and all
      other entities that control, are controlled by, or are under common
      control with that entity. For the purposes of this definition,
      "control" means (i) the power, direct or indirect, to cause the
      direction or management of such entity, whether by contract or
      otherwise, or (ii) ownership of fifty percent (50%) or more of the
      outstanding shares, or (iii) beneficial ownership of such entity.

      "You" (or "Your") shall mean an individual or Legal Entity
      exercising permissions granted by this License.

      "Source" form shall mean the preferred form for making modifications,
      including but not limited to software source code, documentation
      source, and configuration files.

      "Object" form shall mean any form resulting from mechanical
      transformation or translation of a Source form, including but
      not limited to compiled object code, generated documentation,
      and conversions to other media types.

      "Work" shall mean the work of authorship, whether in Source or
      Object form, made available under the License, as indicated by a
      copyright notice that is included in or attached to the work
      (an example is provided in the Appendix below).

      "Derivative Works" shall mean any work, whether in Source or Object
      form, that is based on (or derived from) the Work and for which the
      editorial revisions, annotations, elaborations, or other modifications
      represent, as a whole, an original work of authorship. For the purposes
      of this License, Derivative Works shall not include works that remain
      separable from, or merely link (or bind by name) to the interfaces of,
      the Work and Derivative Works thereof.

      "Contribution" shall mean any work of authorship, including
      the original version of the Work and any modifications or additions
      to that Work or Derivative Works thereof, that is intentionally
      submitted to Licensor for inclusion in the Work by the copyright owner
      or by an individual or Legal Entity authorized to submit on behalf of
      the copyright owner. For the purposes of this definition, "submitted"
      means any form of electronic, verbal, or written communication sent
      to the Licensor or its representatives, including but not limited to
      communication on electronic mailing lists, source code control systems,
      and issue tracking systems that are managed by, or on behalf of, the
      Licensor for the purpose of discussing and improving the Work, but
      excluding communication that is conspicuously marked or otherwise
      designated in writing by the copyright owner as "Not a Contribution."

      "Contributor" shall mean Licensor and any individual or Legal Entity
      on behalf of whom a Contribution has been received by Licensor and
      subsequently incorporated within the Work.

   2. Grant of Copyright License. Subject to the terms and conditions of
      this License, each Contributor hereby grants to You a perpetual,
      worldwide, non-exclusive, no-charge, royalty-free, irrevocable
      copyright license to reproduce, prepare Derivative Works of,
      publicly display, publicly perform, sublicense, and distribute the
      Work and such Derivative Works in Source or Object form.

   3. Grant of Patent License. Subject to the terms and conditions of
      this License, each Contributor hereby grants to You a perpetual,
      worldwide, non-exclusive, no-charge, royalty-free, irrevocable
      (except as stated in this section) patent license to make, have made,
      use, offer to sell, sell, import, and otherwise transfer the Work,
      where such license applies only to those patent claims licensable
      by such Contributor that are necessarily infringed by their
      Contribution(s) alone or by combination of their Contribution(s)
      with the Work to which such Contribution(s) was submitted. If You
      institute patent litigation against any entity (including a
      cross-claim or counterclaim in a lawsuit) alleging that the Work
      or a Contribution incorporated within the Work constitutes direct
      or contributory patent infringement, then any patent licenses
      granted to You under this License for that Work shall terminate
      as of the date such litigation is filed.

   4. Redistribution. You may reproduce and distribute copies of the
      Work or Derivative Works thereof in any medium, with or without
      modifications, and in Source or Object form, provided that You
      meet the following conditions:

      (a) You must give any other recipients of the Work or
          Derivative Works a copy of this License; and

      (b) You must cause any modified files to carry prominent notices
          stating that You changed the files; and

      (c) You must retain, in the Source form of any Derivative Works
          that You distribute, all copyright, patent, trademark, and
          attribution notices from the Source form of the Work,
          excluding those notices that do not pertain to any part of
          the Derivative Works; and

      (d) If the Work includes a "NOTICE" text file as part of its
          distribution, then any Derivative Works that You distribute must
          include a readable copy of the attribution notices contained
          within such NOTICE file, excluding those notices that do not
          pertain to any part of the Derivative Works, in at least one
          of the following places: within a NOTICE text file distributed
          as part of the Derivative Works; within the Source form or
          documentation, if provided along with the Derivative Works; or,
          within a display generated by the Derivative Works, if and
          wherever such third-party notices normally appear. The contents
          of the NOTICE file are for informational purposes only and
          do not modify the License. You may add Your own attribution
          notices within Derivative Works that You distribute, alongside
          or as an addendum to the NOTICE text from the Work, provided
          that such additional attribution notices cannot be construed
          as modifying the License.

      You may add Your own copyright statement to Your modifications and
      may provide additional or different license terms and conditions
      for use, reproduction, or distribution of Your modifications, or
      for any such Derivative Works as a whole, provided Your use,
      reproduction, and distribution of the Work otherwise complies with
      the conditions stated in this License.

   5. Submission of Contributions. Unless You explicitly state otherwise,
      any Contribution intentionally submitted for inclusion in the Work
      by You to the Licensor shall be under the terms and conditions of
      this License, without any additional terms or conditions.
      Notwithstanding the above, nothing herein shall supersede or modify
      the terms of any separate license agreement you may have executed
      with Licensor regarding such Contributions.

   6. Trademarks. This License does not grant permission to use the trade
      names, trademarks, service marks, or product names of the Licensor,
      except as required for reasonable and customary use in describing the
      origin of the Work and reproducing the content of the NOTICE file.

   7. Disclaimer of Warranty. Unless required by applicable law or
      agreed to in writing, Licensor provides the Work (and each
      Contributor provides its Contributions) on an "AS IS" BASIS,
      WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
      implied, including, without limitation, any warranties or conditions
      of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A
      PARTICULAR PURPOSE. You are solely responsible for determining the
      appropriateness of using or redistributing the Work and assume any
      risks associated with Your exercise of permissions under this License.

   8. Limitation of Liability. In no event and under no legal theory,
      whether in tort (including negligence), contract, or otherwise,
      unless required by applicable law (such as deliberate and grossly
      negligent acts) or agreed to in writing, shall any Contributor be
      liable to You for damages, including any direct, indirect, special,
      incidental, or consequential damages of any character arising as a
      result of this License or out of the use or inability to use the
      Work (including but not limited to damages for loss of goodwill,
      work stoppage, computer failure or malfunction, or any and all
      other commercial damages or losses), even if such Contributor
      has been advised of the possibility of such damages.

   9. Accepting Warranty or Additional Liability. While redistributing
      the Work or Derivative Works thereof, You may choose to offer,
      and charge a fee for, acceptance of support, warranty, indemnity,
      or other liability obligations and/or rights consistent with this
      License. However, in accepting such obligations, You may act only
      on Your own behalf and on Your sole responsibility, not on behalf
      of any other Contributor, and only if You agree to indemnify,
      defend, and hold each Contributor harmless for any liability
      incurred by, or claims asserted against, such Contributor by reason
      of your accepting any such warranty or additional liability.

Requirements and compatibility

Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta

“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.

Needs: Needs a command-line tool, Needs Python

Security

What our scanner noticed· Low risk

  • Instructions that use the network
  • Scripts that your agent may run

This skill includes scripts that your agent may run. Read them before you use it.

A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.

Attribution and licence

Published by
AWS
Publisher
AWS (Official)
Source
aws/agent-toolkit-for-aws · skills/specialized-skills/serverless-skills/processing-s3-uploads-with-step-functions · commit 0a218f8
Licence
Apache License 2.0 (redistribution allowed)
  • LICENSE (added by AutoGineer from LICENSE)
  • NOTICE (added by AutoGineer from NOTICE)
  • ATTRIBUTION.md (written by AutoGineer)
Synced

AutoGineer is not affiliated with or endorsed by AWS or AWS.

Download ZIP

The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download processing-s3-uploads-with-step-functions.zip