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convex-schema-validator

Define and validate Convex database schemas with TypeScript validators and index configuration.

Updated Apr 12, 2026
Search Tags:#typescript#database#migrations#validation#schema#indexes#convex
One-click install
npx skills add https://github.com/althof3/TCG-auction --skill convex-schema-validator-althof3
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: convex-schema-validator
Source: https://github.com/althof3/TCG-auction/tree/main/.agent/skills/convex-schema-validator
Command: npx skills add https://github.com/althof3/TCG-auction --skill convex-schema-validator-althof3

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Convex schema definitions are essential to prevent runtime errors when data structures evolve. This skill provides a clear blueprint for typing, indexing, optional fields, and migrations, helping teams maintain data integrity across deployments.

Core Features & Use Cases

  • Type-safe schema definitions with defineSchema and defineTable.
  • Flexible field types including optional and nullable fields, unions, nested objects, and references.
  • Index configuration and search indices to optimize data access across Convex databases.
  • Migration guidance to evolve schemas safely with backward compatibility and data preservation.

Quick Start

Create a convex/schema.ts using defineSchema, defineTable, and v validators to model your data, then run your Convex deployment to validate the schema.

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 and validate a Convex database schema in TypeScript?▼

You validate a Convex schema by creating a convex/schema.ts file using defineSchema, defineTable, and v validators to model your data. Running your Convex deployment validates the schema against your data structures.

How do I configure indexes and search indices in a Convex schema?▼

Configuring Convex indexes involves declaring index and search index configurations within your defineTable calls. This optimizes data access across your Convex databases by ensuring efficient querying.

Can I use optional fields, unions, and nested objects in Convex schema definitions?▼

Yes, Convex schema definitions support flexible field types including optional and nullable fields, unions, nested objects, and references. This allows you to accurately model complex data structures with strong type safety.

What is the best way to handle schema migrations in Convex?▼

The best way to handle Convex schema migrations is to follow provided migration guidance that ensures backward compatibility and data preservation. This controlled schema evolution maintains data integrity across deployments.

Why do I need schema validation for my Convex database?▼

Convex schema validation is essential to prevent runtime errors when data structures evolve. It provides a clear blueprint for typing, indexing, and migrations, helping teams maintain data integrity across deployments.

Does this approach to Convex schema validation work with discriminated unions?▼

Yes, this schema validation approach fully supports TypeScript definitions, Convex validators, index declarations, and discriminated unions. It is designed for Convex projects requiring strong type safety and precise indexing.

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