chunking-strategy
Provides chunking strategies for RAG systems. Generates chunk size recommendations (256-1024 tokens), overlap percentages…
Provides TypeScript patterns for DynamoDB-Toolbox v2 including schema/table/entity modeling, .build() command workflow, query/scan access patterns, batch and transaction operations, and single-table design with computed keys. Use when implementing type-safe DynamoDB access
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name: dynamodb-toolbox-patterns description: Provides TypeScript patterns for DynamoDB-Toolbox v2 including schema/table/entity modeling, .build() command workflow, query/scan access patterns, batch and transaction operations, and single-table design with computed keys. Use when implementing type-safe DynamoDB access layers with DynamoDB-Toolbox v2 in TypeScript services or serverless applications. allowed-tools: Read, Write, Edit, Glob, Grep, Bash
This skill provides practical TypeScript patterns for using DynamoDB-Toolbox v2 with AWS SDK v3 DocumentClient. It focuses on type-safe schema modeling, `.build()` command usage, and production-ready single-table design.
1. **Start from access patterns**: identify read/write queries first, then design keys. 2. **Create table + entity boundaries**: one table, multiple entities if using single-table design. 3. **Define schemas with constraints**: apply `.key()`, `.required()`, `.default()`, `.transform()`, `.link()`. 4. **Use `.build()` commands everywhere**: avoid ad-hoc command construction for consistency and type safety. 5. **Add query/index coverage**: validate GSI/LSI paths for each required access pattern. 6. **Use batch/transactions intentionally**: batch for throughput, transactions for atomicity. 7. **Keep items evolvable**: use optional fields, defaults, and derived attributes for schema evolution.
npm install dynamodb-toolbox @aws-sdk/client-dynamodb @aws-sdk/lib-dynamodb
import { DynamoDBClient } from '@aws-sdk/client-dynamodb';
import { DynamoDBDocumentClient } from '@aws-sdk/lib-dynamodb';
import { Table } from 'dynamodb-toolbox/table';
import { Entity } from 'dynamodb-toolbox/entity';
import { item, string, number, list, map } from 'dynamodb-toolbox/schema';
const client = new DynamoDBClient({ region: process.env.AWS_REGION ?? 'eu-west-1' });
const documentClient = DynamoDBDocumentClient.from(client);
export const AppTable = new Table({
name: 'app-single-table',
partitionKey: { name: 'PK', type: 'string' },
sortKey: { name: 'SK', type: 'string' },
indexes: {
byType: { type: 'global', partitionKey: { name: 'GSI1PK', type: 'string' }, sortKey: { name: 'GSI1SK', type: 'string' } }
},
documentClient
});const now = () => new Date().toISOString();
export const UserEntity = new Entity({
name: 'User',
table: AppTable,
schema: item({
tenantId: string().required('always'),
userId: string().required('always'),
email: string().required('always').transform(input => input.toLowerCase()),
role: string().enum('admin', 'member').default('member'),
loginCount: number().default(0),
tags: list(string()).default([]),
profile: map({
displayName: string().optional(),
timezone: string().default('UTC')
}).default({ timezone: 'UTC' })
}),
computeKey: ({ tenantId, userId }) => ({
PK: `TENANT#${tenantId}`,
SK: `USER#${userId}`,
GSI1PK: `TENANT#${tenantId}#TYPE#USER`,
GSI1SK: `EMAIL#${userId}`
})
});import { PutItemCommand } from 'dynamodb-toolbox/entity/actions/put';
import { GetItemCommand } from 'dynamodb-toolbox/entity/actions/get';
import { UpdateItemCommand, $add } from 'dynamodb-toolbox/entity/actions/update';
import { DeleteItemCommand } from 'dynamodb-toolbox/entity/actions/delete';
await UserEntity.build(PutItemCommand)
.item({ tenantId: 't1', userId: 'u1', email: 'A@Example.com' })
.send();
const { Item } = await UserEntity.build(GetItemCommand)
.key({ tenantId: 't1', userId: 'u1' })
.send();
await UserEntity.build(UpdateItemCommand)
.item({ tenantId: 't1', userId: 'u1', loginCount: $add(1) })
.send();
await UserEntity.build(DeleteItemCommand)
.key({ tenantId: 't1', userId: 'u1' })
.send();import { QueryCommand } from 'dynamodb-toolbox/table/actions/query';
import { ScanCommand } from 'dynamodb-toolbox/table/actions/scan';
const byTenant = await AppTable.build(QueryCommand)
.query({
partition: `TENANT#t1`,
range: { beginsWith: 'USER#' }
})
.send();
const byTypeIndex = await AppTable.build(QueryCommand)
.query({
index: 'byType',
partition: 'TENANT#t1#TYPE#USER'
})
.options({ limit: 25 })
.send();
const scanned = await AppTable.build(ScanCommand)
.options({ limit: 100 })
.send();import { BatchWriteCommand } from 'dynamodb-toolbox/table/actions/batchWrite';
import { TransactWriteCommand } from 'dynamodb-toolbox/table/actions/transactWrite';
await AppTable.build(BatchWriteCommand)
.requests(
UserEntity.build(PutItemCommand).item({ tenantId: 't1', userId: 'u2', email: 'u2@example.com' }),
UserEntity.build(PutItemCommand).item({ tenantId: 't1', userId: 'u3', email: 'u3@example.com' })
)
.send();
await AppTable.build(TransactWriteCommand)
.requests(
UserEntity.build(PutItemCommand).item({ tenantId: 't1', userId: 'u4', email: 'u4@example.com' }),
UserEntity.build(UpdateItemCommand).item({ tenantId: 't1', userId: 'u1', loginCount: $add(1) })
)
.send();Modular plugin marketplace for Claude Code and agentic CLIs, with validated, spec-driven skills, agents, commands, and workflows for Java, TypeScript, Python, PHP, AWS, and AI.
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