Schema Builder

The schema-builder skill allows AI agents to automatically generate and validate data schemas for Convex applications. It streamlines backend development by defining table structures, field types, and relationships directly through natural language instructions.

When to use it

• Rapidly prototype database models without writing manual TypeScript code.
• Ensure data consistency across your Convex app by enforcing strict schema rules.
• Generate migration-ready definitions when adding new features or modifying existing data structures.
• Collaborate with non-technical team members who can describe data needs in plain English.

Key capabilities

• Automatic table creation based on user descriptions.
• Validation of field types and constraints within the Convex environment.
• Generation of relational links between different data tables.
• Integration directly into the Convex agent plugin ecosystem.

Example prompts

• "Create a schema for an e-commerce store with users, products, and orders."
• "Define a table for blog posts that includes author references and comment counts."
• "Generate a schema for a task management app with recurring events and team assignments."

Tips & gotchas

Ensure your Convex environment is properly initialized before attempting to generate schemas. While the tool automates structure definition, you should still review generated code to confirm it aligns with specific business logic requirements.