aws-lambda-typescript-integration

giuseppe-trisciuoglio/developer-kit · updated Apr 8, 2026

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$npx skills add https://github.com/giuseppe-trisciuoglio/developer-kit --skill aws-lambda-typescript-integration
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summary

Patterns for creating high-performance AWS Lambda functions in TypeScript with optimized cold starts.

skill.md

AWS Lambda TypeScript Integration

Patterns for creating high-performance AWS Lambda functions in TypeScript with optimized cold starts.

Overview

Two approaches for TypeScript Lambda:

  1. NestJS Framework - Dependency injection, modular architecture, larger bundle (100KB+)
  2. Raw TypeScript - Minimal overhead, smaller bundle (<50KB), maximum control

Both support API Gateway and ALB integration.

When to Use

  • Creating new Lambda functions in TypeScript
  • Optimizing cold start performance
  • Choosing between NestJS and minimal TypeScript
  • Configuring API Gateway or ALB integration
  • Setting up CI/CD for TypeScript Lambda

Instructions

1. Choose Your Approach

Approach Cold Start Bundle Size Best For Complexity
NestJS < 500ms Larger (100KB+) Complex APIs, enterprise apps, DI needed Medium
Raw TypeScript < 100ms Smaller (< 50KB) Simple handlers, microservices, minimal deps Low

2. Project Structure

NestJS Structure

my-nestjs-lambda/
├── src/
│   ├── app.module.ts
│   ├── main.ts
│   ├── lambda.ts           # Lambda entry point
│   └── modules/
│       └── api/
├── package.json
├── tsconfig.json
└── serverless.yml

Raw TypeScript Structure

my-ts-lambda/
├── src/
│   ├── handlers/
│   │   └── api.handler.ts
│   ├── services/
│   └── utils/
├── dist/                   # Compiled output
├── package.json
├── tsconfig.json
└── template.yaml

3. Implementation Examples

See the References section for detailed implementation guides. Quick examples:

NestJS Handler:

// lambda.ts
import { NestFactory } from '@nestjs/core';
import { ExpressAdapter } from '@nestjs/platform-express';
import serverlessExpress from '@codegenie/serverless-express';
import { Context, Handler } from 'aws-lambda';
import express from 'express';
import { AppModule } from './src/app.module';

let cachedServer: Handler;

async function bootstrap(): Promise<Handler> {
  const expressApp = express();
  const adapter = new ExpressAdapter(expressApp);
  const nestApp = await NestFactory.create(AppModule, adapter);
  await nestApp.init();
  return serverlessExpress({ app: expressApp });
}

export const handler: Handler = async (event: any, context: Context) => {
  if (!cachedServer) {
    cachedServer = await bootstrap();
  }
  return cachedServer(event, context);
};

Raw TypeScript Handler:

// src/handlers/api.handler.ts
import { APIGatewayProxyEvent, APIGatewayProxyResult, Context } from 'aws-lambda';

export const handler = async (
  event: APIGatewayProxyEvent,
  context: Context
): Promise<APIGatewayProxyResult> => {
  return {
    statusCode: 200,
    headers: { 'Content-Type': 'application/json' },
    body: JSON.stringify({ message: 'Hello from TypeScript Lambda!' })
  };
};

Core Concepts

Cold Start Optimization

TypeScript cold start depends on bundle size and initialization code. Key strategies:

  1. Lazy Loading - Defer heavy imports until needed
  2. Tree Shaking - Remove unused code from bundle
  3. Minification - Use esbuild or terser for smaller bundles
  4. Instance Caching - Cache initialized services between invocations

See Raw TypeScript Lambda for detailed patterns.

Connection Management

Create clients at module level and reuse:

// GOOD: Initialize once, reuse across invocations
import { DynamoDBClient } from '@aws-sdk/client-dynamodb';

const dynamoClient = new DynamoDBClient({ region: process.env.AWS_REGION });

export const handler = async (event: APIGatewayProxyEvent) => {
  // Use dynamoClient - already initialized
};

Environment Configuration

// src/config/env.config.ts
export const env = {
  region: process.env.AWS_REGION || 'us-east-1',
  tableName: process.env.TABLE_NAME || '',
  debug: process.env.DEBUG === 'true',
};

// Validate required variables
if (!env.tableName) {
  throw new Error('TABLE_NAME environment variable is required');
}

Best Practices

Memory and Timeout Configuration

  • Memory: Start with 512MB for NestJS, 256MB for raw TypeScript
  • Timeout: Set based on cold start + expected processing time
    • NestJS: 10-30 seconds for cold start buffer
    • Raw TypeScript: 3-10 seconds typically sufficient

Dependencies

Keep package.json minimal:

{
  "dependencies": {
    "aws-lambda": "^3.1.0",
    "@aws-sdk/client-dynamodb": "^3.450.0"
  },
  "devDependencies": {
    "typescript": "^5.3.0",
    "esbuild": "^0.19.0"
  }
}

Error Handling

Return proper HTTP codes with structured errors:

export const handler = async (event: APIGatewayProxyEvent): Promise<APIGatewayProxyResult> => {
  try {
    const result = await processEvent(event);
    return {
      statusCode: 200,
      headers: { 'Content-Type': 'application/json' },
      body: JSON.stringify(result)
    };
  } catch (error) {
    console.error('Error processing request:', error);
    return {
      statusCode: 500,
      headers: { 'Content-Type': 'application/json' },
      body: JSON.stringify({ error: 'Internal server error' })
    };
  }
};

Logging

Use structured logging for CloudWatch Insights:

const log = (level: string, message: string, meta?: object) => {
  console.log<
how to use aws-lambda-typescript-integration

How to use aws-lambda-typescript-integration on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add aws-lambda-typescript-integration
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/giuseppe-trisciuoglio/developer-kit --skill aws-lambda-typescript-integration

The skills CLI fetches aws-lambda-typescript-integration from GitHub repository giuseppe-trisciuoglio/developer-kit and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/aws-lambda-typescript-integration

Reload or restart Cursor to activate aws-lambda-typescript-integration. Access the skill through slash commands (e.g., /aws-lambda-typescript-integration) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
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general reviews

Ratings

4.563 reviews
  • Meera Khan· Dec 28, 2024

    Keeps context tight: aws-lambda-typescript-integration is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Jin Haddad· Dec 24, 2024

    aws-lambda-typescript-integration has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Sofia Diallo· Dec 20, 2024

    Useful defaults in aws-lambda-typescript-integration — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Arjun Martin· Dec 8, 2024

    I recommend aws-lambda-typescript-integration for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Chaitanya Patil· Dec 4, 2024

    We added aws-lambda-typescript-integration from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Hana Dixit· Dec 4, 2024

    aws-lambda-typescript-integration reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Aanya Kapoor· Nov 27, 2024

    Keeps context tight: aws-lambda-typescript-integration is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Piyush G· Nov 23, 2024

    aws-lambda-typescript-integration fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Hana Kapoor· Nov 23, 2024

    Registry listing for aws-lambda-typescript-integration matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Hana Ghosh· Nov 19, 2024

    I recommend aws-lambda-typescript-integration for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

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