dynamodb
AWS DynamoDB serverless NoSQL with streams and global tables. Use for AWS serverless.
Best use case
dynamodb is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
AWS DynamoDB serverless NoSQL with streams and global tables. Use for AWS serverless.
Teams using dynamodb should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/dynamodb/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How dynamodb Compares
| Feature / Agent | dynamodb | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
AWS DynamoDB serverless NoSQL with streams and global tables. Use for AWS serverless.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Amazon DynamoDB
DynamoDB is a fully managed, serverless, key-value NoSQL database designed to run high-performance applications at any scale (Single-digit millisecond latency).
## When to Use
- **Serverless Apps**: The default DB for AWS Lambda.
- **Infinite Scaling**: Handles petabytes of data without maintenance.
- **Shopping Carts / Sessions**: High throughput, simple key access.
## Quick Start (AWS SDK v3)
```typescript
import { DynamoDBClient, PutItemCommand } from "@aws-sdk/client-dynamodb";
const client = new DynamoDBClient({});
const command = new PutItemCommand({
TableName: "Users",
Item: {
PK: { S: "USER#123" },
SK: { S: "PROFILE" },
Name: { S: "Alice" },
},
});
await client.send(command);
```
## Core Concepts
### Partition Key (PK) & Sort Key (SK)
- **PK**: Determines which partition holds the data. Must be unique unless SK is present.
- **SK**: Sorts items with the same PK.
- **Composite Key**: PK + SK together form the primary ID.
### Single Table Design (The "OneTable" Pattern)
Storing multiple entity types (Users, Orders) in one table to enable pre-joining data via item collections. (Less strictly required now, but still common).
### Provisioned vs On-Demand
- **On-Demand**: Pay per request. Good for spiky/unknown loads.
- **Provisioned**: Pay for capacity. Cheaper for predictable loads.
## Best Practices (2025)
**Do**:
- **Access Patterns First**: Design your schema based on _how_ you will query the data. You cannot easily add arbitrary queries later.
- **Use GSI (Global Secondary Index)**: To query by non-key attributes.
- **Use TTL**: To verify old items are deleted automatically (free delete).
**Don't**:
- **Don't Scan**: Scan reads the _entire_ table. It is slow and expensive. Always `Query`.
- **Don't store large blobs**: 400KB limit per item. Store large data in S3 and save the link in Dynamo.
## References
- [DynamoDB Developer Guide](https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/Introduction.html)Related Skills
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