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convex-schema-validator

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

Updated Feb 9, 2025
Search Tags:#typescript#database#migrations#validation#schema#indexes#convex
One-click install
npx skills add https://github.com/obada-jaras/nextboost-starter --skill convex-schema-validator-obada-jaras
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: convex-schema-validator
Source: https://github.com/obada-jaras/nextboost-starter/tree/main/.cursor/skills/convex-schema-validator
Command: npx skills add https://github.com/obada-jaras/nextboost-starter --skill convex-schema-validator-obada-jaras

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill addresses the challenge of defining, validating, and managing database schemas within the Convex framework, ensuring data integrity and consistency.

Core Features & Use Cases

  • Schema Definition: Define tables, fields, and their types using Convex's schema definition language.
  • Data Validation: Enforce type constraints, optionality, and unions for robust data integrity.
  • Index Configuration: Specify single, compound, and search indexes for efficient querying.
  • Migration Strategies: Provides guidance on safely evolving schemas over time.
  • Use Case: When setting up a new Convex project, use this Skill to define your initial users and tasks tables with appropriate fields, indexes, and validation rules.

Quick Start

Define a new Convex schema with a 'users' table containing '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 a Convex database schema in TypeScript?▼

To define and validate a Convex database schema, use this Skill to specify tables, fields, and data types. It enforces type constraints and ensures robust data integrity within your Convex application.

What is the best way to configure indexes for efficient data retrieval in Convex?▼

The best way to configure Convex indexes is by specifying single, compound, and search indexes. This Skill guides index configuration to ensure type safety and efficient data retrieval.

Can I use complex data structures like nested objects and arrays in Convex schemas?▼

Yes, you can use complex data structures in Convex schemas. This Skill supports advanced schema design with nested objects, arrays, records, and discriminated unions.

How do I handle database migrations when evolving a Convex schema over time?▼

Handle Convex schema migrations by following the provided migration strategies. This Skill offers guidance on safely evolving schemas over time while maintaining data consistency.

Does Convex validation support unions and optional fields for flexible data modeling?▼

Yes, Convex validation supports unions and optional fields. This Skill enforces type constraints, optionality, and unions to provide flexible and robust data integrity.

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