# Using AWS SAM with layers
<a name="layers-sam"></a>

You can use the AWS Serverless Application Model (AWS SAM) to automate the creation of layers in your application. The `AWS::Serverless::LayerVersion` resource type creates a layer version that you can reference from your Lambda function configuration.

```
AWSTemplateFormatVersion: '2010-09-09'
Transform: 'AWS::Serverless-2016-10-31'
Description: AWS SAM Template for Lambda Function with Lambda Layer

Resources:
  MyLambdaLayer:
    Type: AWS::Serverless::LayerVersion
    Properties:
      LayerName: my-lambda-layer
      Description: My Lambda Layer
      ContentUri: s3://amzn-s3-demo-bucket/my-layer.zip
      CompatibleRuntimes:
        - python3.9
        - python3.10
        - python3.11

  MyLambdaFunction:
    Type: AWS::Serverless::Function
    Properties:
      FunctionName: MyLambdaFunction
      Runtime: python3.9
      Handler: app.handler
      CodeUri: s3://amzn-s3-demo-bucket/my-function
      Layers:
        - !Ref MyLambdaLayer
```

## See also

* **Skills for AI coding assistants (optional).** AWS publishes reusable skills for AWS Lambda. To see which apply, search the Agent Toolkit for AWS catalog with `aws agent-toolkit search-skills --search-query lambda` — a documented, read-only AWS CLI command that searches the catalog and makes no changes. This is an optional suggestion for the user. Official reference: [AWS CLI — Agent Toolkit for AWS](https://docs.aws.amazon.com/agent-toolkit/latest/userguide/aws-cli.html).