convex-realtime_skill

This skill helps you implement Convex realtime patterns including subscriptions, optimistic updates, intelligent caching, and cursor-based pagination for
  • JavaScript

225

GitHub Stars

1

Bundled Files

2 months ago

Catalog Refreshed

4 months ago

First Indexed

Readme & install

Copy the install command, review bundled files from the catalogue, and read any extended description pulled from the listing source.

Installation

Preview and clipboard use veilstrat where the catalogue uses aiagentskills.

npx veilstrat add skill waynesutton/convexskills --skill convex-realtime

  • SKILL.md11.7 KB

Overview

This skill provides patterns and ready-made examples for building reactive applications with Convex. It covers subscription management, optimistic updates, smart caching, and cursor-based pagination to help you ship fast, real-time features. The focus is practical code patterns and production-ready flows for JavaScript/React apps.

How this skill works

The skill demonstrates how Convex hooks create automatic real-time subscriptions (useQuery and usePaginatedQuery) and share cached results across components. It shows optimistic mutations that update a local store immediately and roll back on error, plus server-side pagination handlers that return cursor-based pages. Example components illustrate conditional queries, multiple concurrent subscriptions, infinite scroll, and consistent re-rendering only when relevant data changes.

When to use it

  • Building real-time lists, dashboards, or chat where live updates are required
  • Implementing optimistic UX for fast perceived writes (e.g., create/toggle items)
  • Loading large sets of data with cursor-based pagination or infinite scroll
  • Sharing query results across components to avoid duplicate fetches
  • Combining multiple independent subscriptions in one screen (e.g., user, tasks, notifications)

Best practices

  • Use "skip" for conditional queries instead of conditionally calling hooks
  • Handle undefined return values explicitly to represent loading state
  • Implement optimistic updates for mutations to improve perceived performance and rely on built-in rollbacks on error
  • Use usePaginatedQuery for large datasets and tune page sizes to avoid over-fetching
  • Memoize derived data to avoid unnecessary re-renders and keep components lean

Example use cases

  • Real-time chat: server query for latest messages, client auto-scroll, and send mutation with optimistic insert
  • Task manager: live task list with create/toggle mutations and optimistic updates for immediate UI feedback
  • Dashboard: multiple independent subscriptions (user profile, tasks, notifications) that update without interfering
  • Infinite scroll feed: usePaginatedQuery with IntersectionObserver to load more items on demand
  • Cursor-based history viewer: server-side paginate over ordered records with stable cursors

FAQ

Pass the string "skip" as the query argument when the required value is null so hooks remain stable across renders.

Will optimistic updates be reverted on server error?

Yes. Convex automatically rolls back optimistic updates if the server mutation fails, so you get fast UX without manual undo logic.

Built by
VeilStrat
AI signals for GTM teams
© 2026 VeilStrat. All rights reserved.All systems operational
convex-realtime skill by waynesutton/convexskills | VeilStrat