Convex Anti Patterns

Name: Convex Anti Patterns
Author: fluid-tools

Checked

fluid-tools·vlatest·backend·MIT

Identifies and suggests solutions for common design flaws hindering optimization in complex systems.

Repository

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$ npx skills add op0ai/claude-skills --skill convex-anti-patterns -a claude-code

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Publisher

fluid-tools

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Live repository

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Automated safety checks

scanned 29 Sept 2026

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

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Commit: 4d09914bf5
Manifest: skills/convex-anti-patterns/SKILL.md
Scanned: 3 files, 2,111 lines
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About this skill

What it does

This skill helps AI agents identify and avoid common architectural mistakes when building applications with Convex, a backend-as-a-service platform. It provides guidance on preventing issues like over-fetching data, inefficient queries, and improper state management to ensure scalable and performant systems.

When to use it

You are designing a new database schema and want to ensure query patterns align with Convex's real-time capabilities.
Your application is experiencing latency or high costs due to complex nested data retrieval operations.
You need to refactor existing code that violates best practices regarding server functions and hooks.
You are reviewing a pull request to catch potential performance bottlenecks before deployment.

Key capabilities

Detects anti-patterns specific to Convex's unique query language and real-time subscriptions.
Offers recommendations for optimizing data fetching strategies in serverless environments.
Highlights common pitfalls in managing shared state and side effects within Convex functions.

Example prompts

"Review this Convex schema and identify any queries that might cause performance issues at scale."
"Explain the anti-patterns I should avoid when setting up real-time subscriptions for user data."
"Suggest optimizations for a server function that currently fetches too much nested data."

Tips & gotchas

Ensure you have a working Convex project setup to effectively apply these architectural patterns. While this skill focuses on avoiding mistakes, it does not automatically generate code; use its insights to manually refactor your logic.