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aws-lambda — Claude Code skill: what it does, how to install

Build and deploy AWS Lambda serverless functions, attach triggers, configure layers, and manage canary releases through the AWS CLI.

Install into Claude Code · Skills CLI (Vercel) All methods and platforms ↓
npx skills add BagelHole/DevOps-Security-Agent-Skills --skill aws-lambda -a claude-code
Open on GitHub

What aws-lambda does

This skill supplies command templates and code patterns for AWS Lambda infrastructure. It guides your agent through packaging application code into zip files, creating functions via the AWS CLI, and adjusting memory, timeout, and environment variables.

Inside, you find handler implementations for API Gateway proxies and SQS consumers with partial batch failure reporting via batchItemFailures. It also covers publishing dependency bundles as Lambda Layers, configuring DynamoDB Streams, and managing traffic shifting across version aliases.

You need AWS CLI v2 configured with IAM permissions for lambda:*, iam:PassRole, logs:*, apigateway:*, and s3:* before running deployments. A local runtime like Python 3.11+ or Node.js 20+ is also necessary. Without these credentials, command execution will fail immediately.

What it helps with

  • create AWS Lambda functions with arm64 architecture using the AWS CLI
  • handle SQS message batches with partial failure reporting
  • publish and attach shared dependency packages via Lambda Layers
  • configure traffic shifting across version aliases for canary deploys

Example prompts for the agent

  • Generate a Python Lambda handler that reports partial batch failures for SQS
  • Show the AWS CLI command to publish a new Lambda Layer with common dependencies
  • How do I set up a weighted alias on AWS Lambda for canary routing?

How to install aws-lambda

1Skills CLI (Vercel)

npx skills add BagelHole/DevOps-Security-Agent-Skills --skill aws-lambda -a claude-code

2Manually: put the files in place

~/.claude/skills/aws-lambda/SKILL.md

Copy the whole skill folder; for one project use .claude/skills/aws-lambda/

Step by step, with commands for each platform: How to install skills in Claude Code: five ways

Questions about aws-lambda

How to install aws-lambda in Claude Code?

Run npx skills add BagelHole/DevOps-Security-Agent-Skills --skill aws-lambda -a claude-code. Alternatively, place the file directly at ~/.claude/skills/aws-lambda/SKILL.md.

What does the aws-lambda skill do?

It gives your coding agent prompt instructions and AWS CLI recipes to configure Lambda functions, event triggers, layers, and version aliases.

What prerequisites are required?

You need AWS CLI v2 configured with permissions like lambda:*, iam:PassRole, and s3:*, alongside Python 3.11+ or Node.js 20+ installed locally.

Source text

SKILL.md · MIT
---
name: aws-lambda
description: Build and deploy serverless functions on AWS Lambda. Configure triggers, manage permissions, and optimize performance. Use when implementing serverless applications.
license: MIT
metadata:
  author: devops-skills
  version: "1.0"
---

# AWS Lambda

Build serverless applications with AWS Lambda, covering function creation, event sources, layers, SAM templates, and cold start optimization.

## When to Use This Skill

- Building event-driven applications triggered by API Gateway, S3, SQS, or EventBridge
- Running scheduled tasks (cron) without managing servers
- Processing data streams from Kinesis or DynamoDB
- Building lightweight APIs with API Gateway or function URLs
- Implementing webhooks, Slack bots, or automation scripts
- Reducing compute costs for intermittent or bursty workloads

## Prerequisites

- AWS CLI v2 installed and configured
- IAM permissions: `lambda:*`, `iam:PassRole`, `logs:*`, `apigateway:*`, `s3:*`
- Python 3.11+, Node.js 20+, or another supported runtime installed locally
- (Optional) AWS SAM CLI for local development and deployment

## Create and Deploy a Function

```bash
# Create a deployment package
cd my-function
zip -r function.zip app.py

# Create the Lambda function
aws lambda create-function \
  --function-name my-api-handler \
  --runtime python3.12 \
  --handler app.handler \
  --role arn:aws:iam::123456789012:role/LambdaExecRole \
  --zip-file fileb://function.zip \
  --memory-size 256 \
  --timeout 30 \
  --environment 'Variables={STAGE=production,LOG_LEVEL=INFO}' \
  --architectures arm64 \
  --tracing-config Mode=Active \
  --tags '{"Team":"backend","Environment":"production"}'

# Update function code
aws lambda update-function-code \
  --function-name my-api-handler \
  --zip-file fileb://function.zip

# Update function configuration
aws lambda update-function-configuration \
  --function-name my-api-handler \
  --memory-size 512 \
  --timeout 60 \
  --environment 'Variables={STAGE=production,LOG_LEVEL=WARNING}'

# Publish a version (immutable snapshot)
aws lambda publish-version \
  --function-name my-api-handler \
  --description "v1.2.0 - added rate limiting"

# Create an alias pointing to the version
aws lambda create-alias \
  --function-name my-api-handler \
  --name live \
  --function-version 3

# Weighted alias for canary deployments (90% v3, 10% v4)
aws lambda update-alias \
  --function-name my-api-handler \
  --name live \
  --function-version 4 \
  --routing-config '{"AdditionalVersionWeights":{"3":0.9}}'
```

## Function Code Examples

```python
# app.py - API Gateway handler with structured logging
import json
import logging
import os

logger = logging.getLogger()
logger.setLevel(os.environ.get("LOG_LEVEL", "INFO"))

def handler(event, context):
    """Handle API Gateway proxy event."""
    logger.info("Request: %s %s", event["httpMethod"], event["path"])

    try:
        body = json.loads(event.get("body", "{}"))
        result = process_request(body)

        return {
            "statusCode": 200,
            "headers": {
                "Content-Type": "application/json",
                "X-Request-Id": context.aws_request_id
            },
            "body": json.dumps(result)
        }
    except ValueError as e:
        logger.warning("Validation error: %s", e)
        return {"statusCode": 400, "body": json.dumps({"error": str(e)})}
    except Exception as e:
        logger.exception("Unhandled error")
        return {"statusCode": 500, "body": json.dumps({"error": "Internal server error"})}

def process_request(body):
    return {"message": "OK", "data": body}
```

```python
# sqs_processor.py - SQS batch processor with partial failure reporting
import json
import logging

logger = logging.getLogger()
logger.setLevel("INFO")

def handler(event, context):
    """Process SQS messages with partial batch failure reporting."""
    failed_ids = []

    for record in event["Records"]:
        try:
            body = json.loads(record["body"])
            logger.info("Processing message: %s", record["messageId"])
            process_message(body)
        except Exception as e:
            logger.error("Failed message %s: %s", record["messageId"], e)
            failed_ids.append(record["messageId"])

    # Return failed items so only those get retried
    return {
        "batchItemFailures": [
            {"itemIdentifier": msg_id} for msg_id in failed_ids
        ]
    }

def process_message(body):
    pass  # your logic here
```

## Lambda Layers

```bash
# Build a layer for Python dependencies
mkdir -p layer/python
pip install requests boto3-stubs -t layer/python/
cd layer
zip -r ../my-layer.zip python/

# Publish the layer
aws lambda publish-layer-version \
  --layer-name common-deps \
  --description "Shared Python dependencies" \
  --zip-file fileb://my-layer.zip \
  --compatible-runtimes python3.11 python3.12 \
  --compatible-architectures arm64 x86_64

# Attach layer to a function
aws lambda update-function-configuration \
  --function-name my-api-handler \
  --layers "arn:aws:lambda:us-east-1:123456789012:layer:common-deps:1"

# List available layers
aws lambda list-layers --compatible-runtime python3.12
```

## Event Source Mappings

```bash
# SQS trigger with batch processing
aws lambda create-event-source-mapping \
  --function-name sqs-processor \
  --event-source-arn arn:aws:sqs:us-east-1:123456789012:my-queue \
  --batch-size 10 \
  --maximum-batching-window-in-seconds 5 \
  --function-response-types ReportBatchItemFailures

# DynamoDB Streams trigger
aws lambda create-event-source-mapping \
  --function-name stream-processor \
  --event-source-arn arn:aws:dynamodb:us-east-1:123456789012:table/my-table/stream/2026-01-01T00:00:00.000 \
  --batch-size 100 \
  --starting-position LATEST \
  --maximum-retry-attempts 3 \
  --bisect-batch-on-function-error \
  --destination-config '{"OnFailure":{"Destination":"arn:aws:sqs:us-east-1:123456789012:dlq"}}'

# S3 event notification (via Lambda permission + S3 config)
aws lambda add-permission \
  --function-name image-processor \
  --statement-id s3-trigger \
  --action lambda:InvokeFunction \
  --principal s3.amazonaws.com \
  --source-arn arn:aws:s3:::my-uploads-bucket \
  --source-account 123456789012

aws s3api put-bucket-notification-configuration \
  --bucket my-uploads-bucket \
  --notification-configuration '{
    "LambdaFunctionConfigurations": [{
      "LambdaFunctionArn": "arn:aws:lambda:us-east-1:123456789012:function:image-processor",
      "Events": ["s3:ObjectCreated:*"],
      "Filter": {"Key": {"FilterRules": [{"Name": "suffix", "Value": ".jpg"}]}}
    }]
  }'

# Schedule with EventBridge (cron)
aws events put-rule \
  --name daily-cleanup \
  --schedule-expression "cron(0 2 * * ? *)" \
  --state ENABLED

aws lambda add-permission \
  --function-name daily-cleanup \
  --statement-id eventbridge \
  --action lambda:InvokeFunction \
  --principal events.amazonaws.com \
  --source-arn arn:aws:events:us-east-1:123456789012:rule/daily-cleanup

aws events put-targets \
  --rule daily-cleanup \
  --targets '[{"Id":"1","Arn":"arn:aws:lambda:us-east-1:123456789012:function:daily-cleanup"}]'
```

## Function URLs (No API Gateway Needed)

```bash
# Create a function URL (public HTTPS endpoint)
aws lambda create-function-url-config \
  --function-name my-api-handler \
  --auth-type NONE \
  --cors '{
    "AllowOrigins": ["https://myapp.com"],
    "AllowMethods": ["GET", "POST"],
    "AllowHeaders": ["Content-Type"],
    "MaxAge": 86400
  }'

# Grant public invoke for function URL
aws lambda add-permission \
  --function-name my-api-handler \
  --statement-id function-url-public \
  --action lambda:InvokeFunctionUrl \
  --principal "*" \
  --function-url-auth-type NONE
```

## Cold Start Optimization

```bash
# Enable provisioned concurrency to eliminate cold starts
aws lambda put-provisioned-concurrency-config \
  --function-name my-api-handler \
  --qualifier live \
  --provisioned-concurrent-executions 10

# Set reserved concurrency (throttle limit)
aws lambda put-function-concurrency \
  --function-name my-api-handler \
  --reserved-concurrent-executions 100

# Enable SnapStart for Java functions (near-zero cold starts)
aws lambda update-function-configuration \
  --function-name my-java-handler \
  --snap-start '{"ApplyOn": "PublishedVersions"}'
aws lambda publish-version --function-name my-java-handler
```

Cold start reduction tips:
- Use `arm64` architecture (Graviton) for faster init and lower cost
- Minimize deployment package size; use layers for large dependencies
- Initialize SDK clients outside the handler function
- Avoid VPC unless required (VPC cold starts are longer)
- Use provisioned concurrency for latency-sensitive paths

## SAM Template

```yaml
# template.yaml - AWS SAM application
AWSTemplateFormatVersion: '2010-09-09'
Transform: AWS::Serverless-2016-10-31
Description: My serverless API

Globals:
  Function:
    Runtime: python3.12
    Architectures: [arm64]
    MemorySize: 256
    Timeout: 30
    Tracing: Active
    Environment:
      Variables:
        STAGE: !Ref Stage
        LOG_LEVEL: INFO

Parameters:
  Stage:
    Type: String
    Default: dev
    AllowedValues: [dev, staging, prod]

Resources:
  ApiFunction:
    Type: AWS::Serverless::Function
    Properties:
      FunctionName: !Sub "${Stage}-api-handler"
      Handler: app.handler
      CodeUri: src/
      Layers:
        - !Ref DepsLayer
      Events:
        GetItems:
          Type: Api
          Properties:
            Path: /items
            Method: get
        PostItem:
          Type: Api
          Properties:
            Path: /items
            Method: post
      Policies:
        - DynamoDBCrudPolicy:
            TableName: !Ref ItemsTable

  QueueProcessor:
    Type: AWS::Serverless::Function
    Properties:
      FunctionName: !Sub "${Stage}-queue-processor"
      Handler: sqs_processor.handler
      CodeUri: src/
      Events:
        SQSEvent:
          Type: SQS
          Properties:
            Queue: !GetAtt ProcessingQueue.Arn
            BatchSize: 10
            FunctionResponseTypes:
              - ReportBatchItemFailures

  DepsLayer:
    Type: AWS::Serverless::LayerVersion
    Properties:
      LayerName: common-deps
      ContentUri: layer/
      CompatibleRuntimes:
        - python3.12

  ItemsTable:
    Type: AWS::DynamoDB::Table
    Properties:
      TableName: !Sub "${Stage}-items"
      BillingMode: PAY_PER_REQUEST
      AttributeDefinitions:
        - AttributeName: id
          AttributeType: S
      KeySchema:
        - AttributeName: id
          KeyType: HASH

  ProcessingQueue:
    Type: AWS::SQS::Queue
    Properties:
      QueueName: !Sub "${Stage}-processing"
      VisibilityTimeout: 360

Outputs:
  ApiEndpoint:
    Value: !Sub "https://${ServerlessRestApi}.execute-api.${AWS::Region}.amazonaws.com/Prod"
```

```bash
# SAM CLI commands
sam build
sam local invoke ApiFunction --event events/get-items.json
sam local start-api --port 3000
sam deploy --guided
sam logs --name ApiFunction --stack-name my-stack --tail
```

## Troubleshooting

| Problem | Cause | Fix |
|---|---|---|
| Function times out | Timeout too low or downstream slow | Increase timeout; check VPC/NAT config |
| Out of memory | Memory limit too small | Increase `--memory-size`; profile with CloudWatch Insights |
| Permission denied on AWS API | Execution role missing policy | Attach required policy to the execution role |
| Cold starts > 5s | Large package or VPC overhead | Use layers, arm64, provisioned concurrency; remove VPC if not needed |
| SQS messages reprocessed | Visibility timeout < function timeout | Set queue visibility timeout to 6x function timeout |
| Event source mapping disabled | Too many consecutive errors | Fix the function error; re-enable the mapping |
| Layer not found | Wrong region or deleted version | Verify layer ARN region matches function region |
| Canary deployment not shifting | Alias routing config wrong | Verify version numbers in routing config |
| Cannot invoke function URL | Missing resource-based policy | Add `lambda:InvokeFunctionUrl` permission |

## Related Skills

- [aws-iam](../aws-iam/) - Execution roles and permissions
- [terraform-aws](../terraform-aws/) - IaC deployment for Lambda
- [aws-s3](../aws-s3/) - S3 event triggers
- [aws-vpc](../aws-vpc/) - VPC configuration for Lambda
- [aws-cost-optimization](../aws-cost-optimization/) - Optimizing Lambda spend

© devops-skills · MIT · BagelHole/DevOps-Security-Agent-Skills

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