aws-cloud-patterns
AWS cloud patterns for Lambda, ECS, S3, DynamoDB, and Infrastructure as Code with CDK/Terraform
What this skill does
# AWS Cloud Patterns
## Lambda Function Pattern
```typescript
import { APIGatewayProxyHandlerV2 } from "aws-lambda";
import { DynamoDBClient } from "@aws-sdk/client-dynamodb";
import { DynamoDBDocumentClient, GetCommand } from "@aws-sdk/lib-dynamodb";
const client = DynamoDBDocumentClient.from(new DynamoDBClient({}));
export const handler: APIGatewayProxyHandlerV2 = async (event) => {
const id = event.pathParameters?.id;
if (!id) {
return { statusCode: 400, body: JSON.stringify({ error: "Missing id" }) };
}
const result = await client.send(
new GetCommand({ TableName: process.env.TABLE_NAME!, Key: { pk: id } })
);
if (!result.Item) {
return { statusCode: 404, body: JSON.stringify({ error: "Not found" }) };
}
return {
statusCode: 200,
headers: { "Content-Type": "application/json" },
body: JSON.stringify(result.Item),
};
};
```
Initialize SDK clients outside the handler to reuse connections across invocations.
## DynamoDB Single-Table Design
```typescript
interface OrderItem {
pk: string; // USER#<userId>
sk: string; // ORDER#<orderId>
gsi1pk: string; // ORDER#<orderId>
gsi1sk: string; // ITEM#<itemId>
entityType: string; // "Order" | "OrderItem"
data: Record<string, any>;
ttl?: number;
}
const params = {
TableName: "AppTable",
KeyConditionExpression: "pk = :pk AND begins_with(sk, :prefix)",
ExpressionAttributeValues: {
":pk": `USER#${userId}`,
":prefix": "ORDER#",
},
};
```
Design access patterns first, then model keys. Use GSIs for alternative query patterns.
## CDK Infrastructure
```typescript
import * as cdk from "aws-cdk-lib";
import { Construct } from "constructs";
import * as lambda from "aws-cdk-lib/aws-lambda-nodejs";
import * as dynamodb from "aws-cdk-lib/aws-dynamodb";
import * as apigateway from "aws-cdk-lib/aws-apigatewayv2";
export class ApiStack extends cdk.Stack {
constructor(scope: Construct, id: string, props?: cdk.StackProps) {
super(scope, id, props);
const table = new dynamodb.Table(this, "AppTable", {
partitionKey: { name: "pk", type: dynamodb.AttributeType.STRING },
sortKey: { name: "sk", type: dynamodb.AttributeType.STRING },
billingMode: dynamodb.BillingMode.PAY_PER_REQUEST,
pointInTimeRecovery: true,
removalPolicy: cdk.RemovalPolicy.RETAIN,
});
const fn = new lambda.NodejsFunction(this, "ApiHandler", {
entry: "src/handler.ts",
runtime: cdk.aws_lambda.Runtime.NODEJS_22_X,
architecture: cdk.aws_lambda.Architecture.ARM_64,
memorySize: 256,
timeout: cdk.Duration.seconds(10),
environment: { TABLE_NAME: table.tableName },
});
table.grantReadWriteData(fn);
}
}
```
## S3 Event Processing
```typescript
import { S3Event } from "aws-lambda";
import { S3Client, GetObjectCommand } from "@aws-sdk/client-s3";
const s3 = new S3Client({});
export async function handler(event: S3Event) {
for (const record of event.Records) {
const bucket = record.s3.bucket.name;
const key = decodeURIComponent(record.s3.object.key.replace(/\+/g, " "));
const obj = await s3.send(new GetObjectCommand({ Bucket: bucket, Key: key }));
const body = await obj.Body?.transformToString();
await processFile(key, body);
}
}
```
## Anti-Patterns
- Hardcoding AWS credentials instead of using IAM roles
- Not setting Lambda timeout and memory appropriately
- Using `SELECT *` equivalent scans on DynamoDB instead of query with key conditions
- Creating one Lambda per CRUD operation instead of grouping by domain
- Missing CloudWatch alarms for error rates and throttling
- Not enabling point-in-time recovery on DynamoDB tables
## Checklist
- [ ] SDK clients initialized outside Lambda handler
- [ ] IAM roles follow least-privilege principle
- [ ] DynamoDB access patterns designed before table schema
- [ ] Lambda uses ARM64 architecture for cost savings
- [ ] S3 buckets have versioning and lifecycle policies
- [ ] CloudWatch alarms set for Lambda errors, duration, and throttles
- [ ] Infrastructure defined as code (CDK or Terraform)
- [ ] Secrets stored in Systems Manager Parameter Store or Secrets Manager
Related in Cloud & DevOps
appbuilder-action-scaffolder
IncludedCreate, implement, deploy, and debug Adobe Runtime actions with consistent layout, validation, and error handling. Use this skill whenever the user needs to add actions to an App Builder project, understand action structure (params, response format, web/raw actions), configure actions in the manifest, use App Builder SDKs (State, Files, Events, database), deploy and invoke actions via CLI, debug action issues, or implement patterns such as webhook receivers, custom event providers, journaling consumers, large payload redirects, action sequence pipelines, and Asset Compute workers. Also trigger when users mention serverless functions in Adobe context, action logging, IMS authentication for actions, or cron-style scheduled actions.
orchestrating-datacloud
IncludedSalesforce Data Cloud product orchestrator for connect→prepare→harmonize→segment→act workflows. Use this skill when the user needs a multi-step Data Cloud pipeline, cross-phase troubleshooting, or data space and data kit management. TRIGGER when: user needs a multi-step Data Cloud pipeline, asks to set up or troubleshoot Data Cloud across phases, manages data spaces or data kits, or wants a cross-phase sf data360 workflow. DO NOT TRIGGER when: work is isolated to a single phase (use the matching phase-specific skill), the task is STDM/session tracing/parquet telemetry (use observing-agentforce), standard CRM SOQL (use querying-soql), or Apex implementation (use generating-apex).
github-project-automation
IncludedAutomate GitHub repository setup with CI/CD workflows, issue templates, Dependabot, and CodeQL security scanning. Includes 12 production-tested workflows and prevents 18 errors: YAML syntax, action pinning, and configuration. Use when: setting up GitHub Actions CI/CD, creating issue/PR templates, enabling Dependabot or CodeQL scanning, deploying to Cloudflare Workers, implementing matrix testing, or troubleshooting YAML indentation, action version pinning, secrets syntax, runner versions, or CodeQL configuration. Keywords: github actions, github workflow, ci/cd, issue templates, pull request templates, dependabot, codeql, security scanning, yaml syntax, github automation, repository setup, workflow templates, github actions matrix, secrets management, branch protection, codeowners, github projects, continuous integration, continuous deployment, workflow syntax error, action version pinning, runner version, github context, yaml indentation error
sf-datacloud
IncludedSalesforce Data Cloud product orchestrator for connect→prepare→harmonize→segment→act workflows. TRIGGER when: user needs a multi-step Data Cloud pipeline, asks to set up or troubleshoot Data Cloud across phases, manages data spaces or data kits, or wants a cross-phase `sf data360` workflow. DO NOT TRIGGER when: work is isolated to a single phase (use the matching sf-datacloud-* skill), the task is STDM/session tracing/parquet telemetry (use sf-ai-agentforce-observability), standard CRM SOQL (use sf-soql), or Apex implementation (use sf-apex).
fabric-cli
IncludedUse this skill for Fabric.so CLI workflows with the `fabric` terminal command: diagnose/install/login, search or browse a Fabric library, save notes/links/files, create folders, ask the Fabric AI assistant, manage tasks/workspaces, generate shell completion, check subscription usage, produce JSON output, and use Fabric as persistent agent memory. Do not use for Microsoft Fabric/Azure/Power BI `fab`, Daniel Miessler's Fabric framework, Python Fabric SSH, Fabric.js, or textile/fashion fabric.
lark
IncludedLark/Feishu CLI skills: lark-cli operations for docs, markdown, sheets, base, calendar, im, mail, task, okr, drive, wiki, slides, whiteboard, apps, approval, attendance, contact, vc, minutes, event. Use when the user needs to operate Lark/Feishu resources via lark-cli, send messages, manage documents, spreadsheets, calendars, tasks, OKRs, deploy web pages, or any Feishu/Lark workspace operations.