convex-schema-validator

Define and validate Convex database schemas with defineSchema and defineTable.

1|Updated Jan 22, 2026
One-click install
npx skills add https://github.com/blocknavi/convex-batch-processor --skill convex-schema-validator
Or copy as Structured Prompt for Agent
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Skill: convex-schema-validator
Source: https://github.com/blocknavi/convex-batch-processor/tree/main/.claude/skills/convex-schema-validator
Command: npx skills add https://github.com/blocknavi/convex-batch-processor --skill convex-schema-validator

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill enables developers to define and validate Convex database schemas with strong typing, ensuring data integrity across tables, indexes, and migrations.

Core Features & Use Cases

  • Schema Definition: Use defineSchema and defineTable to declare tables, fields, and relations with strict typing.
  • Index & Migration Support: Configure indexes, discriminated unions, and migration steps to evolve schemas safely.
  • Validation & Safety: Enforce type-safe schemas to catch errors during development and prevent data inconsistencies.

Quick Start

Create a convex/schema.ts file and export a default schema using defineSchema({...}) with at least one table and a couple of fields.

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?

To define and validate a Convex database schema, create a convex/schema.ts file and export a default schema using defineSchema with defineTable to declare tables, fields, and relations with strict typing.

How do I configure indexes and migrations for evolving Convex schemas?

You configure indexes and migrations for Convex schemas by applying discriminated unions and migration steps within defineSchema to evolve data models safely and maintain consistent structure.

What does schema validation do for Convex apps?

Schema validation for Convex apps enforces type-safe schemas to catch errors during development and prevent data inconsistencies across tables, indexes, and migrations.

When do I need schema validation for my Convex database?

You need schema validation for your Convex database when building apps that require precise table definitions, index configurations, and consistent data modeling across evolving data models.

Can I use union types and index patterns in Convex schema definitions?

Yes, you can use union types and index patterns in Convex schema definitions. The schema validator supports discriminated unions and index configurations to enforce complex structure and migration strategies.

What's the best way to enforce type safety in Convex database tables?

The best way to enforce type safety in Convex database tables is using defineSchema and defineTable with v types to declare fields and relations, ensuring data integrity and strict typing.