MR
Mayur Rathi
@mayurrathi
⭐ 40.7k GitHub stars

Aws Serverless

Aws Serverless is an code AI skill with a core value of Specialized skill for building production-ready serverless applications on AWS. It helps developers solve real-world problems in the code domain, boosting efficiency, automating repetitive tasks, and optimizing workflows.

Specialized skill for building production-ready serverless applications on AWS. Covers Lambda functions, API Gateway, DynamoDB, SQS/SNS event-driven patterns, SAM/CDK deployment, and cold start opt...

Last verified on: 2026-07-07

Quick Facts

Category code
Works With Claude
Source sickn33/antigravity-awesome-skills
Stars ⭐ 40.7k
Last Verified 2026-07-07
Risk Level Low
mkdir -p ./skills/aws-serverless && curl -sfL https://raw.githubusercontent.com/sickn33/antigravity-awesome-skills/main/skills/aws-serverless/SKILL.md -o ./skills/aws-serverless/SKILL.md

Run in terminal / PowerShell. Requires curl (Unix) or PowerShell 5+ (Windows).

Skill Content

# AWS Serverless


Patterns


Lambda Handler Pattern


Proper Lambda function structure with error handling


**When to use**: ['Any Lambda function implementation', 'API handlers, event processors, scheduled tasks']


python

// Node.js Lambda Handler

// handler.js


// Initialize outside handler (reused across invocations)

const { DynamoDBClient } = require('@aws-sdk/client-dynamodb');

const { DynamoDBDocumentClient, GetCommand } = require('@aws-sdk/lib-dynamodb');


const client = new DynamoDBClient({});

const docClient = DynamoDBDocumentClient.from(client);


// Handler function

exports.handler = async (event, context) => {

// Optional: Don't wait for event loop to clear (Node.js)

context.callbackWaitsForEmptyEventLoop = false;


try {

// Parse input based on event source

const body = typeof event.body === 'string'

? JSON.parse(event.body)

: event.body;


// Business logic

const result = await processRequest(body);


// Return API Gateway compatible response

return {

statusCode: 200,

headers: {

'Content-Type': 'application/json',

'Access-Control-Allow-Origin': '*'

},

body: JSON.stringify(result)

};

} catch (error) {

console.error('Error:', JSON.stringify({

error: error.message,

stack: error.stack,

requestId: context.awsRequestId

}));


return {

statusCode: error.statusCode || 500,

headers: { 'Content-Type': 'application/json' },

body: JSON.stringify({

error: error.message || 'Internal server error'

})

};

}

};


async function processRequest(data) {

// Your business logic here

const result = await docClient.send(new GetCommand({

TableName: process.env.TABLE_NAME,

Key: { id: data.id }

}));

return result.Item;

}

text

# Python Lambda Handler

# handler.py


import json

import os

import logging

import boto3

from botocore.exceptions import ClientError


# Initialize outside handler (reused across invocations)

logger = logging.getLogger()

logger.setLevel(logging.INFO)


dynamodb = boto3.resource('dynamodb')

table = dynamodb.Table(os.environ['TABLE_NAME'])


def handler(event, context):

try:

# Parse i

text

### API Gateway Integration Pattern

REST API and HTTP API integration with Lambda

**When to use**: ['Building REST APIs backed by Lambda', 'Need HTTP endpoints for functions']
yaml
# template.yaml (SAM)
AWSTemplateFormatVersion: '2010-09-09'
Transform: AWS::Serverless-2016-10-31

Globals:
  Function:
    Runtime: nodejs20.x
    Timeout: 30
    MemorySize: 256
    Environment:
      Variables:
        TABLE_NAME: !Ref ItemsTable

Resources:
  # HTTP API (recommended for simple use cases)
  HttpApi:
    Type: AWS::Serverless::HttpApi
    Properties:
      StageName: prod
      CorsConfiguration:
        AllowOrigins:
          - "*"
        AllowMethods:
          - GET
          - POST
          - DELETE
        AllowHeaders:
          - "*"

  # Lambda Functions
  GetItemFunction:
    Type: AWS::Serverless::Function
    Properties:
      Handler: src/handlers/get.handler
      Events:
        GetItem:
          Type: HttpApi
          Properties:
            ApiId: !Ref HttpApi
            Path: /items/{id}
            Method: GET
      Policies:
        - DynamoDBReadPolicy:
            TableName: !Ref ItemsTable

  CreateItemFunction:
    Type: AWS::Serverless::Function
    Properties:
      Handler: src/handlers/create.handler
      Events:
        CreateItem:
          Type: HttpApi
          Properties:
            ApiId: !Ref HttpApi
            Path: /items
            Method: POST
      Policies:
        - DynamoDBCrudPolicy:
            TableName: !Ref ItemsTable

  # DynamoDB Table
  ItemsTable:
    Type: AWS::DynamoDB::Table
    Properties:
      AttributeDefinitions:
        - AttributeName: id
          AttributeType: S
      KeySchema:
        - AttributeName: id
          KeyType: HASH
      Billing

🎯 Best For

  • UI designers
  • Product designers
  • Claude users
  • Software engineers
  • Development teams

💡 Use Cases

  • Generating component mockups
  • Creating design system tokens
  • Code quality improvement
  • Best practice enforcement

📖 How to Use This Skill

  1. 1

    Install the Skill

    Copy the install command from the Terminal tab and run it. The SKILL.md file downloads to your local skills directory.

  2. 2

    Load into Your AI Assistant

    Open Claude and reference the skill. Paste the SKILL.md content or use the system prompt tab.

  3. 3

    Apply Aws Serverless to Your Work

    Open your project in the AI assistant and ask it to apply the skill. Start with a small module to verify the output quality.

  4. 4

    Review and Refine

    Review AI suggestions before committing. Run tests, check for regressions, and iterate on the skill output.

❓ Frequently Asked Questions

Does this work with Figma?

Some design skills integrate with Figma plugins. Check the Works With section for supported tools.

Is Aws Serverless compatible with Cursor and VS Code?

Yes — this skill works with any AI coding assistant including Cursor, VS Code with Copilot, and JetBrains IDEs.

Do I need specific dependencies for Aws Serverless?

Check the install command and Works With section. Most code skills only require the AI assistant and your codebase.

How do I install Aws Serverless?

Copy the install command from the Terminal tab and run it. The skill downloads to ./skills/aws-serverless/SKILL.md, ready to use.

Can I customize this skill for my team?

Absolutely. Edit the SKILL.md file to add team-specific instructions, examples, or workflows.

⚠️ Common Mistakes to Avoid

Skipping usability testing

AI-generated designs should be validated with real users before development.

Skipping validation

Always test AI-generated code changes, even for simple refactors.

Missing dependency updates

Check if the skill requires updated dependencies or new packages.

🔗 Related Skills