convex

Guide Convex backend development with schema, validator, and scheduling patterns.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/gmickel/claude-code-config --skill convex-gmickel
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: convex
Source: https://github.com/gmickel/claude-code-config/tree/main/skills/convex
Command: npx skills add https://github.com/gmickel/claude-code-config --skill convex-gmickel

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Provides comprehensive guidance for Convex backend development to avoid common pitfalls and accelerate building robust apps.

Core Features & Use Cases

  • Best-practice patterns for schema design, validators, indexes, actions, queries, and scheduling.
  • Guidance on React integration, auth, and production-grade considerations for Convex projects.
  • Real-world use case guidance like building a chat or data-processing backend with Convex.

Quick Start

Start by reading the references/guide.md and applying Convex's core patterns to your project.

Frequently Asked Questions about convex

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

FAQPage Schema
How do I structure Convex schemas and validators to avoid common backend mistakes?

Structure Convex schemas by applying best-practice patterns for argument validators and internal or public function separation. This ensures your backend code compiles on the first try and avoids common development pitfalls.

How do I integrate Convex queries with React for real-time data?

Integrate Convex with React by applying specific patterns for queries and React integration. This approach provides guidance for building robust real-time applications and ensures correct data fetching.

What is the best way to design indexes in Convex for production apps?

Design indexes in Convex by following comprehensive guidance on schema design and limits. This ensures robust backend performance and satisfies constraints defined in the Convex guide for production.

Can I use Convex for scheduling actions and background jobs?

Yes, you can use Convex for scheduling by applying its action and scheduling patterns. This allows you to handle real-world use cases like data processing backends and manage internal or public function execution.

What are the limitations of Convex backend patterns?

Convex backend limitations involve satisfying argument validators, internal or public function separation, and specific scheduling limits. Following the Convex guide ensures your code adheres to these constraints and compiles successfully.