how to use s3 in layers extension lambda

Sure, you can use AWS Lambda Layers to add extensions or dependencies to your function code. To send data to an S3 bucket, you can use the AWS SDK for your preferred programming language (e.g. boto3 for Python, aws-sdk for Node.js) in your Lambda function code.

Here are the general steps to achieve this:

1. Create a new S3 bucket or use an existing one.
2. Create a new Lambda layer that includes the AWS SDK for your preferred programming language and any other dependencies that you need.
3. Attach the layer to your Lambda function.
4. Write your Lambda function code to use the AWS SDK to send data to the S3 bucket.

Here's an example of how you can use the AWS SDK for Python (boto3) in a Lambda function to send a file to an S3 bucket:

import boto3

s3 = boto3.client('s3')

def lambda_handler(event, context):
    # read data from event or other sources
    # ...
    
    # send data to S3 bucket
    s3.put_object(Bucket='my-bucket', Key='my-file.txt', Body=data)
    
    # return response or do other operations
    # ...

Remember to grant the necessary permissions to your Lambda function to access the S3 bucket. You can use an IAM role with the necessary permissions and attach it to your Lambda function.

Sorry the question isnt clear..

Adding layers just puts an overlay on the Lambda function. Just use the layer the same way you would normally. Think of a layer as a symlink. You can have a MAX of 5 layers