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convex-schema-validator

Define and validate Convex database schemas with typing, indexes, and migrations.

Updated Feb 7, 2026
Search Tags:#validation#schema#migration#indexes#convex#typing
One-click install
npx skills add https://github.com/rieckt/create-loumi-app --skill convex-schema-validator-rieckt
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: convex-schema-validator
Source: https://github.com/rieckt/create-loumi-app/tree/main/template/skills/convex/convex-schema-validator
Command: npx skills add https://github.com/rieckt/create-loumi-app --skill convex-schema-validator-rieckt

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Convex Schema Validator helps teams define and enforce robust Convex database schemas, ensuring correct typing, consistent indexes, and safe migrations as data models evolve.

Core Features & Use Cases

  • Typing & validation across tables including optional fields and unions to prevent schema drift.
  • Index configuration guidance to optimize query performance and data integrity.
  • Migration strategies for evolving schemas, including backfilling and preserving backward compatibility.
  • Use Case: When designing a new application, define a typed schema for users and tasks and apply migrations safely as requirements change.

Quick Start

Define your first schema in convex/schema.ts using defineSchema and defineTable, then run the validation workflow to verify types, indices, and migrations before deploying.

Frequently Asked Questions about convex-schema-validator

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

FAQPage Schema
How do I validate Convex database schemas for typing and indexes?▼

To validate Convex database schemas, define your tables using defineSchema and defineTable, then run a validation workflow to verify typing, index configurations, and migration patterns before deployment.

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

Handling schema migrations in Convex requires applying strategies like backfilling data and preserving backward compatibility, ensuring safe evolution of schemas without breaking existing application queries.

Does Convex schema validation work with complex data models using optional fields and unions?▼

Yes, you can validate optional fields and unions in Convex schemas to prevent schema drift, enforcing proper Convex DSL typing across all database tables for robust data models.

When do I need to configure indexes in my Convex schema?▼

You need to configure indexes in your Convex schema when optimizing query performance and ensuring data integrity, applying index configuration guidance during the schema definition process.

How do I prevent schema drift when evolving Convex database schemas?▼

Preventing schema drift in Convex involves enforcing strict typing and validation across tables, including optional fields and unions, while applying safe migration patterns during schema evolution.

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