convex-performance-audit

Analyze reads, subscriptions, write contention, and function limits in Convex applications.

Updated Jun 14, 2026
One-click install
npx skills add https://github.com/iantanwx/openschedule --skill convex-performance-audit-iantanwx
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: convex-performance-audit
Source: https://github.com/iantanwx/openschedule/tree/main/packages/convex/.agents/skills/convex-performance-audit
Command: npx skills add https://github.com/iantanwx/openschedule --skill convex-performance-audit-iantanwx

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill provides a comprehensive audit of Convex application performance, identifying bottlenecks and suggesting improvements to enhance efficiency and user experience.

Core Features & Use Cases

  • Performance Audit: Analyze reads, subscriptions, write contention, and function limits.
  • Use Case: When experiencing slow features or insights findings, this Skill helps diagnose and fix performance issues in Convex applications.

Quick Start

Use the convex-performance-audit skill to perform a performance audit on your Convex application.

Frequently Asked Questions about convex-performance-audit

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

FAQPage Schema
How do I audit Convex application performance for slow reads and write contention?

Auditing Convex application performance involves analyzing read operations, subscriptions, write contention, and function limits to identify bottlenecks. This process diagnoses slow features and suggests improvements to enhance efficiency and user experience.

What causes read amplification and write contention in Convex applications?

Read amplification and write contention in Convex applications stem from inefficient read operations and overlapping write transactions. Analyzing function limits and subscription patterns helps identify these specific performance bottlenecks.

How do I fix slow Convex subscriptions and optimize function limits?

Fixing slow Convex subscriptions and optimizing function limits requires a comprehensive performance audit. This analyzes subscription behavior and function constraints to diagnose issues and suggest targeted improvements for better efficiency.

Do I need prior Convex knowledge to run a performance audit on my application?

Yes, you need prior Convex knowledge and tools for performance improvement to run a performance audit on your application. The audit process requires understanding Convex mechanisms to diagnose and fix performance issues effectively.

What's the best way to diagnose Convex insights findings and performance bottlenecks?

The best way to diagnose Convex insights findings and performance bottlenecks is performing a comprehensive performance audit. This analyzes reads, subscriptions, write contention, and function limits to identify and resolve inefficiencies.

Why does my Convex application experience slow performance despite efficient queries?

Your Convex application might experience slow performance due to write contention or function limits rather than inefficient queries. A performance audit analyzes subscriptions and read operations to identify these hidden bottlenecks.