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convex-schema-validator

Define and validate Convex database schemas with indexes and migrations.

Updated Mar 7, 2026
Search Tags:#typescript#database#migrations#validation#schema#indexes#convex
One-click install
npx skills add https://github.com/mihaicrisan04/zalem --skill convex-schema-validator-mihaicrisan04
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: convex-schema-validator
Source: https://github.com/mihaicrisan04/zalem/tree/main/.agents/skills/convex-schema-validator
Command: npx skills add https://github.com/mihaicrisan04/zalem --skill convex-schema-validator-mihaicrisan04

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill addresses the challenge of defining, validating, and managing database schemas in Convex, ensuring data integrity, proper indexing, and smooth schema evolution.

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 querying.
  • Migration Strategies: Implement safe strategies for adding fields and backfilling data.
  • Use Case: Ensure all user records in your Convex database have a unique email address and an optional avatarUrl, with appropriate indexes for quick lookups.

Quick Start

Define a new table named 'products' with fields for 'name', 'price', and 'category' using the convex-schema-validator skill.

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 complex data structures in a Convex database schema?▼

You can define and validate Convex database schemas using the schema definition API to support nested objects, arrays, unions, and optional fields. This enables type-safe data modeling and ensures data integrity within the Convex framework.

What's the best way to configure indexes for efficient querying in Convex?▼

The best way to configure indexes in Convex is by defining single, compound, and search indexes within your schema. This ensures efficient querying and quick lookups across your database tables.

Can I use optional fields and unions when defining tables in Convex?▼

Yes, you can use optional fields and unions when defining tables in Convex. The schema definition API supports complex data structures, allowing precise data type modeling for robust validation.

How do I handle database migrations and backfilling data when my Convex schema evolves?▼

To handle database migrations in Convex, implement safe strategies for adding fields and backfilling data. This ensures smooth schema evolution while maintaining data integrity during structural changes.

Does TypeScript type safety work with Convex schema validation?▼

Yes, TypeScript type safety works directly with Convex schema validation. The schema definition API utilizes type-safe data modeling, ensuring your TypeScript code aligns with your database structure.

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