convex-best-practices

Enforce domain-driven organization, validators, and error handling for Convex apps.

Updated Dec 25, 2025
One-click install
npx skills add https://github.com/benfwalla/things-to-be-happy-about --skill convex-best-practices-benfwalla
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: convex-best-practices
Source: https://github.com/benfwalla/things-to-be-happy-about/tree/main/.claude/skills/convex-best-practices
Command: npx skills add https://github.com/benfwalla/things-to-be-happy-about --skill convex-best-practices-benfwalla

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Convex projects often suffer from inconsistent patterns and ad-hoc implementations, leading to brittle code and slow onboarding.

Core Features & Use Cases

  • Domain-driven function organization: structure functions by domain to improve maintainability and readability.
  • Explicit validation and type-safety: enforce validators for arguments and returns to reduce runtime errors and data inconsistencies.
  • Robust error handling and OCC guidance: follow Convex error-handling patterns and optimistic concurrency controls to minimize conflicts.
  • Documentation-driven development: align with official Convex docs to accelerate onboarding and cross-team knowledge sharing.

Quick Start

Organize functions by domain, enable validators, and implement consistent error handling across modules.

Frequently Asked Questions about convex-best-practices

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

FAQPage Schema
How do I structure Convex functions by domain for better maintainability?

Structure Convex functions by domain to improve maintainability and readability. This domain-driven organization enforces standardized best practices, reducing inconsistent patterns and ad-hoc implementations that cause brittle code and slow onboarding.

How do I enforce explicit input and output validation in Convex?

Enforce explicit validators for arguments and returns in Convex to reduce runtime errors and data inconsistencies. This type-safety approach ensures data conforms to expected schemas before processing, minimizing invalid state transitions.

What is the best way to handle errors and optimistic concurrency control in Convex?

Handle errors and optimistic concurrency control (OCC) in Convex by following established error-handling patterns and OCC guidance. This minimizes conflicts and ensures robust data consistency during concurrent mutations.

Does this approach align with the official Convex documentation for onboarding?

Yes, this documentation-driven development approach aligns directly with official Convex docs. Aligning with documented patterns accelerates onboarding and improves cross-team knowledge sharing for production-grade apps.