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convex-schema-validator

Define and validate TypeScript database schemas for Convex applications.

2|Updated Feb 9, 2026
Search Tags:#typescript#database#migrations#validation#schema#indexes#convex
One-click install
npx skills add https://github.com/metaloozee/geoveda --skill convex-schema-validator-metaloozee
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: convex-schema-validator
Source: https://github.com/metaloozee/geoveda/tree/main/.cursor/skills/convex-schema-validator
Command: npx skills add https://github.com/metaloozee/geoveda --skill convex-schema-validator-metaloozee

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill addresses the complexity of defining robust, type-safe database schemas in Convex, ensuring data integrity and simplifying schema evolution.

Core Features & Use Cases

  • Schema Definition: Define tables with precise types, optional fields, unions, and nested objects.
  • Index Configuration: Create single, compound, and search indexes for efficient querying.
  • Migration Strategies: Provides guidance on safely adding fields and backfilling data.
  • Use Case: Ensure all user records have a unique email and an optional avatar URL, while also defining indexes for efficient lookups by email and role.

Quick Start

Use the convex-schema-validator skill to define a new table named 'products' with fields for 'name' (string), 'price' (number), and 'isActive' (boolean).

Frequently Asked Questions about convex-schema-validator

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I define a Convex database schema with TypeScript?▼

To define a Convex database schema with TypeScript, you specify tables with precise types, optional fields, unions, nested objects, and arrays. This approach ensures type safety and data integrity across your application.

Can I configure single and compound indexes in a Convex schema?▼

Yes, you can configure single, compound, and search indexes in a Convex schema. Configuring indexes allows for efficient data retrieval and querying, such as creating indexes for fast lookups by specific fields like email or role.

What are the best practices for Convex schema migrations and backfilling data?▼

Convex schema migrations involve safely adding new fields and backfilling existing data to maintain integrity. Best practices include planning strategies for schema evolution to ensure data remains valid when structural changes occur.

Does the Convex schema validator support complex data types like unions and nested objects?▼

Yes, the Convex schema validator supports complex data types including unions, optional fields, nested objects, and arrays. This allows you to define robust table structures that accurately represent your application's data models.

How do I ensure data integrity when evolving a Convex database schema?▼

You ensure data integrity when evolving a Convex database schema by using TypeScript validation for robust type safety and following provided migration strategies. This simplifies schema evolution while preventing data corruption.

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