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convex-schema-validator

Define and validate Convex database schemas with typed fields and indexes.

Updated Mar 6, 2026
Search Tags:#typescript#database#migrations#validation#schema#indexes#convex
One-click install
npx skills add https://github.com/Sim-hub22/internquest --skill convex-schema-validator-sim-hub22
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: convex-schema-validator
Source: https://github.com/Sim-hub22/internquest/tree/main/.agents/skills/convex-schema-validator
Command: npx skills add https://github.com/Sim-hub22/internquest --skill convex-schema-validator-sim-hub22

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

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

Core Features & Use Cases

  • Schema Definition: Define tables, fields, types, and relationships using Convex's schema API.
  • Data Validation: Enforce strict typing, optionality, unions, and literal values for data integrity.
  • Index Configuration: Create single, compound, and search indexes for efficient querying.
  • Schema Migrations: Provides strategies for safely adding fields and backfilling data.
  • Use Case: Ensure all user records have a unique email and an optional avatar URL, and that order items are correctly typed with product IDs and quantities.

Quick Start

Use the convex-schema-validator skill to define a new schema for users with name and email 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 Convex database schemas with TypeScript?▼

You define and validate Convex database schemas by specifying typed fields, optional values, and discriminated unions using the Convex schema API. This process enforces strict typing and ensures data integrity across your database tables.

How do I configure indexes in Convex for efficient querying?▼

Configuring indexes in Convex involves defining single, compound, and search indexes within your schema. This skill enables you to set up these index configurations to optimize data management and ensure efficient database querying.

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

Handling schema migrations in Convex is best achieved by using defined migration strategies to safely add new fields and backfill existing records. This skill provides the necessary strategies to facilitate smooth schema evolution without breaking data integrity.

Can I use discriminated unions and literal values when validating Convex schemas?▼

Yes, you can use discriminated unions and literal values when validating Convex schemas. This skill supports advanced features including discriminated unions and literal values to enforce strict typing and complex data relationships.

Does Convex schema validation support optional fields and strict type enforcement?▼

Yes, Convex schema validation supports optional fields and strict type enforcement. The skill allows you to define optional values and enforce strict typing to maintain data integrity across your application's database records.

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