convex-best-practices

Standardize Convex backend development with validated functions and indexed queries.

Updated Apr 22, 2026
One-click install
npx skills add https://github.com/wixels/sab-colour-profile --skill convex-best-practices-wixels
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: convex-best-practices
Source: https://github.com/wixels/sab-colour-profile/tree/main/.agents/skills/convex-best-practices
Command: npx skills add https://github.com/wixels/sab-colour-profile --skill convex-best-practices-wixels

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill eliminates common Convex backend development pitfalls such as inefficient queries, non-idempotent mutations, and missing validation, which lead to poor performance, write conflicts, and unstable production applications.

Core Features & Use Cases

  • Standardized Function Organization: Domain-based structuring of Convex queries, mutations, and internal functions for maintainable codebases.
  • Optimized Query Patterns: Index-driven data retrieval to replace slow filtered queries and improve real-time performance.
  • Robust Error Handling & Conflict Mitigation: Built-in patterns for idempotent mutations, ConvexError usage, and optimistic concurrency control to minimize write conflicts.
  • Use Case: Development teams building real-time Convex backends can use this Skill to ensure consistent, scalable code that adheres to official Convex standards, reducing debugging time and production incidents.

Quick Start

Use the convex-best-practices skill to implement a production-ready Convex task management API with validated functions, indexed queries, and idempotent mutations.

Frequently Asked Questions about convex-best-practices

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

FAQPage Schema
What are the best practices for optimizing Convex queries in a TypeScript backend?

Optimizing Convex queries requires using index-driven data retrieval to replace slow filtered queries, significantly improving real-time backend performance. Structuring queries around database indexes ensures efficient data access and scalable application architecture.

How do I prevent write conflicts with idempotent mutations in Convex?

Preventing write conflicts in Convex involves implementing idempotent mutations alongside optimistic concurrency control. This pattern ensures repeated or concurrent mutation requests do not cause data corruption or inconsistent application states.

How should I organize Convex backend functions for maintainability?

Organizing Convex backend functions requires domain-based structuring of queries, mutations, and internal functions. This standardized approach eliminates inconsistent codebases and ensures maintainable, scalable real-time architecture across development teams.

Does this approach support official Convex ESLint rules and end-to-end TypeScript type safety?

Yes, this approach enforces adherence to official Convex ESLint rules and end-to-end TypeScript type safety. It provides standardized implementation patterns for argument validation and return types to eliminate error-prone backend development.

Why does missing validation cause unstable Convex production applications?

Missing validation in Convex causes unstable production applications because it allows invalid data to enter the backend pipeline. Implementing robust argument and return validation eliminates this error-prone development and ensures data integrity.