convex-schema-validator

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

Updated Feb 22, 2026

Search Tags:#typescript #migrations #validation #schema #indexes #convex

Ready to run

npx skills add https://github.com/mjmmattoni98/soundweave --skill convex-schema-validator-mjmmattoni98

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: convex-schema-validator
Source: https://github.com/mjmmattoni98/soundweave/tree/main/.agents/skills/convex-schema-validator
Command: npx skills add https://github.com/mjmmattoni98/soundweave --skill convex-schema-validator-mjmmattoni98

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill addresses the challenge of ensuring data integrity and consistency within a Convex database by providing a robust framework for defining, validating, and migrating schemas.

Core Features & Use Cases

Schema Definition: Define tables with precise data types, optional fields, unions, and nested objects.
Index Configuration: Create single, compound, and search indexes for efficient data retrieval.
Migration Strategies: Implement safe strategies for evolving schemas over time, including backfilling data.
Use Case: Ensure all user records have a unique email and an optional, but nullable, avatarUrl field, while also defining indexes for efficient querying by email and role.

Quick Start

Use the convex-schema-validator skill to define a new table named 'products' with fields for name, description, price, category, inventory, and isActive.

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 with TypeScript?▼

To define and validate a Convex database schema with TypeScript, you can use this skill to establish tables with precise data types, optional fields, unions, and nested objects. It ensures strict typing and data integrity for complex structures like discriminated unions.

Can I configure single and compound indexes for efficient data retrieval in Convex?▼

Yes, you can configure single, compound, and search indexes in Convex for efficient data retrieval. This skill facilitates index configuration to optimize querying across your defined database tables, ensuring fast and accurate data access.

What are the best strategies for migrating and backfilling data in a Convex schema?▼

The best strategies for migrating and backfilling data in a Convex schema involve implementing safe evolution techniques. This skill supports migration strategies that allow you to backfill data and safely update schemas over time without breaking existing queries.

Does Convex schema validation support complex data structures like arrays of objects?▼

Yes, Convex schema validation supports complex data structures like arrays of objects and discriminated unions. You can define tables with nested objects, optional fields, and unions to ensure robust typing and consistency across your database.

How do I ensure a unique field and an optional nullable field in a Convex schema?▼

To ensure a unique field and an optional nullable field in a Convex schema, define your table with precise typing and optional field configurations. This skill allows you to validate user records with unique emails and nullable avatar URLs while defining indexes for efficient querying.