Dynamodb

What it does

This skill enables AI agents to interact directly with Amazon DynamoDB, a fully managed NoSQL database service. It allows agents to perform read and write operations on tables, manage data structures, and execute queries without requiring manual infrastructure setup.

When to use it

• Storing and retrieving user session data or temporary state for long-running agent workflows.
• Logging interaction history, error reports, or audit trails in a scalable key-value format.
• Managing configuration settings or feature flags that need rapid updates across distributed systems.
• Building simple, serverless backends for applications requiring high write throughput and low latency.

Key capabilities

• CreateTables: Provision new DynamoDB tables with specific partition keys and sort keys.
• PutItem: Insert single records or batches of items into existing tables.
• GetItem: Retrieve specific data items based on primary key attributes.
• Query: Search for items using defined key conditions and filters.
• Scan: Iterate through all items in a table to perform broad data analysis.
• DeleteItem: Remove individual records from the database.

Example prompts

• "Create a DynamoDB table named 'user_sessions' with a partition key of 'userId' and store the current session token for user 123."
• "Retrieve all items from the 'logs' table where the timestamp is within the last hour."
• "Update the status field in the 'tasks' table for item ID 'task-99' to 'completed'."

Tips & gotchas

Ensure your AI agent has appropriate IAM permissions attached to its execution role before attempting database operations. DynamoDB relies on a partition key model; define these keys carefully during table creation to optimize query performance and avoid data sharding issues.