aws-dynamodb
Optimizes DynamoDB schema design using single-table patterns, secondary indexes, and TypeScript/Python SDKs.
Install
mkdir -p .claude/skills/aws-dynamodb && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/3174" && unzip -o skill.zip -d .claude/skills/aws-dynamodb && rm skill.zipInstalls to .claude/skills/aws-dynamodb
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
AWS DynamoDB single-table design, GSI patterns, SDK v3 TypeScript/PythonKey capabilities
- →Model single-table DynamoDB designs
- →Optimize GSI access patterns
- →Generate SDK v3 data operations
- →Perform CRUD operations
How it works
The skill applies single-table design principles, mapping access patterns to generic partition and sort keys.
Inputs & outputs
When to use aws-dynamodb
- →Modeling single-table DynamoDB designs
- →Optimizing GSI access patterns
- →Writing SDK v3 data operations
About this skill
AWS DynamoDB Skill
DynamoDB is a fully managed NoSQL database designed for single-digit millisecond performance at any scale. Master single-table design and access pattern modeling.
Sources: DynamoDB Docs | SDK v3 | Best Practices
Core Principle
Design for access patterns, not entities. Think access-pattern-first.
DynamoDB requires you to know your queries before designing your schema. Model around how you'll access data, not how data relates. Single-table design stores multiple entity types in one table using generic key attributes.
Key Concepts
| Concept | Description |
|---|---|
| Partition Key (PK) | Primary key attribute - determines data distribution |
| Sort Key (SK) | Optional secondary key for range queries within partition |
| GSI | Global Secondary Index - alternate partition/sort keys |
| LSI | Local Secondary Index - same partition, different sort |
| Item | Single record (max 400 KB) |
| Attribute | Field within an item |
Single-Table Design
Why Single Table?
- Fetch related data in single query
- Reduce round trips and costs
- Enable transactions across entity types
- Simplify operations (backup, restore, IAM)
Generic Key Pattern
// Instead of entity-specific keys:
// userId, orderId, productId
// Use generic keys that work for all entities:
interface BaseItem {
PK: string; // Partition Key
SK: string; // Sort Key
GSI1PK?: string; // First GSI partition key
GSI1SK?: string; // First GSI sort key
EntityType: string;
// ... entity-specific attributes
}
Example: E-commerce Schema
// Users
{ PK: 'USER#123', SK: 'PROFILE', EntityType: 'User', name: 'John', email: '[email protected]' }
{ PK: 'USER#123', SK: 'ADDRESS#1', EntityType: 'Address', street: '123 Main', city: 'NYC' }
// Orders for user (1:N relationship)
{ PK: 'USER#123', SK: 'ORDER#2024-001', EntityType: 'Order', total: 99.99, status: 'shipped' }
{ PK: 'USER#123', SK: 'ORDER#2024-002', EntityType: 'Order', total: 49.99, status: 'pending' }
// Order details (query by order ID using GSI)
{ PK: 'USER#123', SK: 'ORDER#2024-001', GSI1PK: 'ORDER#2024-001', GSI1SK: 'ORDER', ... }
{ PK: 'ORDER#2024-001', SK: 'ITEM#1', GSI1PK: 'ORDER#2024-001', GSI1SK: 'ITEM#1', productId: 'PROD#456', qty: 2 }
// Products
{ PK: 'PROD#456', SK: 'PRODUCT', EntityType: 'Product', name: 'Widget', price: 29.99 }
Access Patterns Covered
1. Get user profile → Query PK='USER#123', SK='PROFILE'
2. Get user with addresses → Query PK='USER#123', SK begins_with 'ADDRESS'
3. Get all user orders → Query PK='USER#123', SK begins_with 'ORDER'
4. Get order by ID → Query GSI1, PK='ORDER#2024-001'
5. Get order with items → Query GSI1, PK='ORDER#2024-001'
6. Get product details → Query PK='PROD#456', SK='PRODUCT'
SDK v3 Setup (TypeScript)
Install Dependencies
npm install @aws-sdk/client-dynamodb @aws-sdk/lib-dynamodb
Client Configuration
// lib/dynamodb.ts
import { DynamoDBClient } from '@aws-sdk/client-dynamodb';
import { DynamoDBDocumentClient } from '@aws-sdk/lib-dynamodb';
const client = new DynamoDBClient({
region: process.env.AWS_REGION || 'us-east-1',
// For local development with DynamoDB Local
...(process.env.DYNAMODB_LOCAL && {
endpoint: 'http://localhost:8000',
credentials: { accessKeyId: 'local', secretAccessKey: 'local' }
})
});
// Document client for simplified operations
export const docClient = DynamoDBDocumentClient.from(client, {
marshallOptions: {
removeUndefinedValues: true, // Important: match v2 behavior
convertClassInstanceToMap: true
},
unmarshallOptions: {
wrapNumbers: false
}
});
export const TABLE_NAME = process.env.DYNAMODB_TABLE || 'MyTable';
Type Definitions
// types/dynamodb.ts
export interface BaseItem {
PK: string;
SK: string;
GSI1PK?: string;
GSI1SK?: string;
EntityType: string;
createdAt: string;
updatedAt: string;
}
export interface User extends BaseItem {
EntityType: 'User';
userId: string;
email: string;
name: string;
}
export interface Order extends BaseItem {
EntityType: 'Order';
orderId: string;
userId: string;
total: number;
status: 'pending' | 'paid' | 'shipped' | 'delivered';
}
// Key builders
export const keys = {
user: (userId: string) => ({
PK: `USER#${userId}`,
SK: 'PROFILE'
}),
userOrders: (userId: string) => ({
PK: `USER#${userId}`,
SKPrefix: 'ORDER#'
}),
order: (userId: string, orderId: string) => ({
PK: `USER#${userId}`,
SK: `ORDER#${orderId}`,
GSI1PK: `ORDER#${orderId}`,
GSI1SK: 'ORDER'
})
};
CRUD Operations
Put Item (Create/Update)
import { PutCommand } from '@aws-sdk/lib-dynamodb';
import { docClient, TABLE_NAME } from './dynamodb';
import { User, keys } from './types';
async function createUser(userId: string, data: { email: string; name: string }): Promise<User> {
const now = new Date().toISOString();
const item: User = {
...keys.user(userId),
EntityType: 'User',
userId,
email: data.email,
name: data.name,
createdAt: now,
updatedAt: now
};
await docClient.send(new PutCommand({
TableName: TABLE_NAME,
Item: item,
ConditionExpression: 'attribute_not_exists(PK)' // Prevent overwrite
}));
return item;
}
Get Item (Read)
import { GetCommand } from '@aws-sdk/lib-dynamodb';
async function getUser(userId: string): Promise<User | null> {
const result = await docClient.send(new GetCommand({
TableName: TABLE_NAME,
Key: keys.user(userId)
}));
return (result.Item as User) || null;
}
Query (List/Search)
import { QueryCommand } from '@aws-sdk/lib-dynamodb';
// Get all orders for a user
async function getUserOrders(userId: string): Promise<Order[]> {
const result = await docClient.send(new QueryCommand({
TableName: TABLE_NAME,
KeyConditionExpression: 'PK = :pk AND begins_with(SK, :sk)',
ExpressionAttributeValues: {
':pk': `USER#${userId}`,
':sk': 'ORDER#'
},
ScanIndexForward: false // Newest first
}));
return (result.Items as Order[]) || [];
}
// Query GSI by order ID
async function getOrderById(orderId: string): Promise<Order | null> {
const result = await docClient.send(new QueryCommand({
TableName: TABLE_NAME,
IndexName: 'GSI1',
KeyConditionExpression: 'GSI1PK = :pk',
ExpressionAttributeValues: {
':pk': `ORDER#${orderId}`
}
}));
return (result.Items?.[0] as Order) || null;
}
// Paginated query
async function getUserOrdersPaginated(
userId: string,
pageSize: number = 20,
lastKey?: Record<string, any>
): Promise<{ items: Order[]; lastKey?: Record<string, any> }> {
const result = await docClient.send(new QueryCommand({
TableName: TABLE_NAME,
KeyConditionExpression: 'PK = :pk AND begins_with(SK, :sk)',
ExpressionAttributeValues: {
':pk': `USER#${userId}`,
':sk': 'ORDER#'
},
Limit: pageSize,
ExclusiveStartKey: lastKey
}));
return {
items: (result.Items as Order[]) || [],
lastKey: result.LastEvaluatedKey
};
}
Update Item
import { UpdateCommand } from '@aws-sdk/lib-dynamodb';
async function updateUser(userId: string, updates: Partial<Pick<User, 'name' | 'email'>>): Promise<User> {
// Build update expression dynamically
const updateParts: string[] = ['#updatedAt = :updatedAt'];
const names: Record<string, string> = { '#updatedAt': 'updatedAt' };
const values: Record<string, any> = { ':updatedAt': new Date().toISOString() };
if (updates.name !== undefined) {
updateParts.push('#name = :name');
names['#name'] = 'name';
values[':name'] = updates.name;
}
if (updates.email !== undefined) {
updateParts.push('#email = :email');
names['#email'] = 'email';
values[':email'] = updates.email;
}
const result = await docClient.send(new UpdateCommand({
TableName: TABLE_NAME,
Key: keys.user(userId),
UpdateExpression: `SET ${updateParts.join(', ')}`,
ExpressionAttributeNames: names,
ExpressionAttributeValues: values,
ReturnValues: 'ALL_NEW',
ConditionExpression: 'attribute_exists(PK)' // Must exist
}));
return result.Attributes as User;
}
// Atomic counter increment
async function incrementOrderCount(userId: string): Promise<void> {
await docClient.send(new UpdateCommand({
TableName: TABLE_NAME,
Key: keys.user(userId),
UpdateExpression: 'SET orderCount = if_not_exists(orderCount, :zero) + :inc',
ExpressionAttributeValues: {
':zero': 0,
':inc': 1
}
}));
}
Delete Item
import { DeleteCommand } from '@aws-sdk/lib-dynamodb';
async function deleteUser(userId: string): Promise<void> {
await docClient.send(new DeleteCommand({
TableName: TABLE_NAME,
Key: keys.user(userId),
ConditionExpression: 'attribute_exists(PK)'
}));
}
Batch Operations
Batch Write (Up to 25 items)
import { BatchWriteCommand } from '@aws-sdk/lib-dynamodb';
async function batchCreateItems(items: BaseItem[]): Promise<void> {
// DynamoDB allows max 25 items per batch
const chunks = [];
for (let i = 0; i < items.length; i += 25) {
chunks.push(items.slice(i, i + 25));
}
for (const chunk of chunks) {
await docClient.send(new BatchWriteCommand({
RequestItems: {
[TABLE_NAME]: chunk.map(item => ({
PutRequest: { Item: item }
}))
}
}));
}
}
Batch Get (Up to 100 items)
import { BatchGetCommand } from '@aws-sdk/lib-dynamodb';
asyn
---
*Content truncated.*
When not to use it
- →Multi-table design without justification
- →Large item storage exceeding 400KB
Prerequisites
Limitations
- →Items limited to 400KB
- →Requires predefined access patterns
How it compares
It focuses on access-pattern-first modeling instead of entity-relationship modeling.
Compared to similar skills
aws-dynamodb side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| aws-dynamodb (this skill) | 1 | 4mo | Review | Advanced |
| dynamodb | 1 | 7mo | Review | Intermediate |
| aws-aurora | 1 | 4mo | Review | Intermediate |
| rds | 0 | 7mo | Review | Advanced |
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