dynantic-usage

What problem does it solve?

This Skill provides a guided, code-focused path to using the Dynantic library to interact with DynamoDB in a type-safe, Pydantic-driven style, reducing boilerplate and runtime errors.

Core Concepts

• Pydantic-based models with a metaclass-driven DSL for building queries, updates, and conditional writes.
• Support for partition keys, sort keys, GSIs, and polymorphic single-table designs.
• Transparent serialization/deserialization between Python types and DynamoDB JSON, including numeric precision handling.

Quick Start

• Define a Dynantic model using Key() and SortKey() decorators, then call save() to persist.
• Retrieve items with Model.get(pk, sk) or Model.query(pk).all() for related results.
• Build complex operations with update() for atomic changes and .filter() on queries/scans for non-key attributes.