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.