Axiom Swiftdata

What it does

This skill enables AI agents to interact with Axiom's SwiftData framework, allowing for the management and querying of persistent data models within Apple's ecosystem. It bridges the gap between agent logic and local or cloud-based data storage by providing direct access to SwiftData's object graph capabilities.

When to use it

• Building iOS or macOS applications where agents need to read or write user preferences locally.
• Creating agents that must analyze structured data stored in a Core Data or SwiftData-backed model.
• Developing workflows requiring real-time synchronization between an AI agent and persistent entity collections.
• Implementing features where an agent generates code to manipulate specific SwiftData entities without manual intervention.

Key capabilities

• Integration with Axiom's SwiftData framework for data persistence.
• Management of object graphs within Apple ecosystem applications.
• Querying and modifying persistent data models programmatically.
• Support for both local and cloud-based data storage scenarios.

Example prompts

• "Create a SwiftData model to store user session tokens and implement a function to retrieve the active session."
• "Write code that queries all TaskItem entities where the status is 'Pending' and updates them to 'In Progress'."
• "Generate a migration script to add a new createdAt date field to the existing UserProfile entity in my SwiftData model."

Tips & gotchas

Ensure your target environment supports the latest versions of Apple's SwiftData framework, as compatibility is critical for successful integration. Always validate that the agent has appropriate permissions to access the specific data models it intends to modify or query.