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Skills/waynesutton/convexskills/convex-realtime
convex-realtime logo

convex-realtime

waynesutton/convexskills
2K installs403 stars
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Installation

npx skills add https://github.com/waynesutton/convexskills --skill convex-realtime

Summary

Patterns for building reactive apps including subscription management, optimistic updates, cache behavior, and paginated queries with cursor-based loading

SKILL.md

Convex Realtime

Build reactive applications with Convex's real-time subscriptions, optimistic updates, intelligent caching, and cursor-based pagination.

Documentation Sources

Before implementing, do not assume; fetch the latest documentation:

  • Primary: https://docs.convex.dev/client/react
  • Optimistic Updates: https://docs.convex.dev/client/react/optimistic-updates
  • Pagination: https://docs.convex.dev/database/pagination
  • For broader context: https://docs.convex.dev/llms.txt

Instructions

How Convex Realtime Works

  1. Automatic Subscriptions - useQuery creates a subscription that updates automatically
  2. Smart Caching - Query results are cached and shared across components
  3. Consistency - All subscriptions see a consistent view of the database
  4. Efficient Updates - Only re-renders when relevant data changes

Basic Subscriptions

// React component with real-time data
import { useQuery } from "convex/react";
import { api } from "../convex/_generated/api";

function TaskList({ userId }: { userId: Id<"users"> }) {
  // Automatically subscribes and updates in real-time
  const tasks = useQuery(api.tasks.list, { userId });

  if (tasks === undefined) {
    return <div>Loading...</div>;
  }

  return (
    <ul>
      {tasks.map((task) => (
        <li key={task._id}>{task.title}</li>
      ))}
    </ul>
  );
}

Conditional Queries

import { useQuery } from "convex/react";
import { api } from "../convex/_generated/api";

function UserProfile({ userId }: { userId: Id<"users"> | null }) {
  // Skip query when userId is null
  const user = useQuery(
    api.users.get,
    userId ? { userId } : "skip"
  );

  if (userId === null) {
    return <div>Select a user</div>;
  }

  if (user === undefined) {
    return <div>Loading...</div>;
  }

  return <div>{user.name}</div>;
}

Mutations with Real-time Updates

import { useMutation, useQuery } from "convex/react";
import { api } from "../convex/_generated/api";

function TaskManager({ userId }: { userId: Id<"users"> }) {
  const tasks = useQuery(api.tasks.list, { userId });
  const createTask = useMutation(api.tasks.create);
  const toggleTask = useMutation(api.tasks.toggle);

  const handleCreate = async (title: string) => {
    // Mutation triggers automatic re-render when data changes
    await createTask({ title, userId });
  };

  const handleToggle = async (taskId: Id<"tasks">) => {
    await toggleTask({ taskId });
  };

  return (
    <div>
      <button onClick={() => handleCreate("New Task")}>Add Task</button>
      <ul>
        {tasks?.map((task) => (
          <li key={task._id} onClick={() => handleToggle(task._id)}>
            {task.completed ? "✓" : "○"} {task.title}
          </li>
        ))}
      </ul>
    </div>
  );
}

Optimistic Updates

Show changes immediately before server confirmation:

import { useMutation, useQuery } from "convex/react";
import { api } from "../convex/_generated/api";
import { Id } from "../convex/_generated/dataModel";

function TaskItem({ task }: { task: Task }) {
  const toggleTask = useMutation(api.tasks.toggle).withOptimisticUpdate(
    (localStore, args) => {
      const { taskId } = args;
      const currentValue = localStore.getQuery(api.tasks.get, { taskId });
      
      if (currentValue !== undefined) {
        localStore.setQuery(api.tasks.get, { taskId }, {
          ...currentValue,
          completed: !currentValue.completed,
        });
      }
    }
  );

  return (
    <div onClick={() => toggleTask({ taskId: task._id })}>
      {task.completed ? "✓" : "○"} {task.title}
    </div>
  );
}

Optimistic Updates for Lists

import { useMutation } from "convex/react";
import { api } from "../convex/_generated/api";

function useCreateTask(userId: Id<"users">) {
  return useMutation(api.tasks.create).withOptimisticUpdate(
    (localStore, args) => {
      const { title, userId } = args;
      const currentTasks = localStore.getQuery(api.tasks.list, { userId });
      
      if (currentTasks !== undefined) {
        // Add optimistic task to the list
        const optimisticTask = {
          _id: crypto.randomUUID() as Id<"tasks">,
          _creationTime: Date.now(),
          title,
          userId,
          completed: false,
        };
        
        localStore.setQuery(api.tasks.list, { userId }, [
          optimisticTask,
          ...currentTasks,
        ]);
      }
    }
  );
}

Cursor-Based Pagination

// convex/messages.ts
import { query } from "./_generated/server";
import { v } from "convex/values";
import { paginationOptsValidator } from "convex/server";

export const listPaginated = query({
  args: {
    channelId: v.id("channels"),
    paginationOpts: paginationOptsValidator,
  },
  handler: async (ctx, args) => {
    return await ctx.db
      .query("messages")
      .withIndex("by_channel", (q) => q.eq("channelId", args.channelId))
      .order("desc")
      .paginate(args.paginationOpts);
  },
});
// React component with pagination
import { usePaginatedQuery } from "convex/react";
import { api } from "../convex/_generated/api";

function MessageList({ channelId }: { channelId: Id<"channels"> }) {
  const { results, status, loadMore } = usePaginatedQuery(
    api.messages.listPaginated,
    { channelId },
    { initialNumItems: 20 }
  );

  return (
    <div>
      {results.map((message) => (
        <div key={message._id}>{message.content}</div>
      ))}
      
      {status === "CanLoadMore" && (
        <button onClick={() => loadMore(20)}>Load More</button>
      )}
      
      {status === "LoadingMore" && <div>Loading...</div>}
      
      {status === "Exhausted" && <div>No more messages</div>}
    </div>
  );
}

Infinite Scroll Pattern

import { usePaginatedQuery } from "convex/react";
import { useEffect, useRef } from "react";
import { api } from "../convex/_generated/api";

function InfiniteMessageList({ channelId }: { channelId: Id<"channels"> }) {
  const { results, status, loadMore } = usePaginatedQuery(
    api.messages.listPaginated,
    { channelId },
    { initialNumItems: 20 }
  );
  
  const observerRef = useRef<IntersectionObserver>();
  const loadMoreRef = useRef<HTMLDivElement>(null);

  useEffect(() => {
    if (observerRef.current) {
      observerRef.current.disconnect();
    }

    observerRef.current = new IntersectionObserver((entries) => {
      if (entries[0].isIntersecting && status === "CanLoadMore") {
        loadMore(20);
      }
    });

    if (loadMoreRef.current) {
      observerRef.current.observe(loadMoreRef.current);
    }

    return () => observerRef.current?.disconnect();
  }, [status, loadMore]);

  return (
    <div>
      {results.map((message) => (
        <div key={message._id}>{message.content}</div>
      ))}
      <div ref={loadMoreRef} style={{ height: 1 }} />
      {status === "LoadingMore" && <div>Loading...</div>}
    </div>
  );
}

Multiple Subscriptions

import { useQuery } from "convex/react";
import { api } from "../convex/_generated/api";

function Dashboard({ userId }: { userId: Id<"users"> }) {
  // Multiple subscriptions update independently
  const user = useQuery(api.users.get, { userId });
  const tasks = useQuery(api.tasks.list, { userId });
  const notifications = useQuery(api.notifications.unread, { userId });

  const isLoading = user === undefined || 
                    tasks === undefined || 
                    notifications === undefined;

  if (isLoading) {
    return <div>Loading...</div>;
  }

  return (
    <div>
      <h1>Welcome, {user.name}</h1>
      <p>You have {tasks.length} tasks</p>
      <p>{notifications.length} unread notifications</p>
    </div>
  );
}

Examples

Real-time Chat Application

// convex/messages.ts
import { query, mutation } from "./_generated/server";
import { v } from "convex/values";

export const list = query({
  args: { channelId: v.id("channels") },
  returns: v.array(v.object({
    _id: v.id("messages"),
    _creationTime: v.number(),
    content: v.string(),
    authorId: v.id("users"),
    authorName: v.string(),
  })),
  handler: async (ctx, args) => {
    const messages = await ctx.db
      .query("messages")
      .withIndex("by_channel", (q) => q.eq("channelId", args.channelId))
      .order("desc")
      .take(100);

    // Enrich with author names
    return Promise.all(
      messages.map(async (msg) => {
        const author = await ctx.db.get(msg.authorId);
        return {
          ...msg,
          authorName: author?.name ?? "Unknown",
        };
      })
    );
  },
});

export const send = mutation({
  args: {
    channelId: v.id("channels"),
    authorId: v.id("users"),
    content: v.string(),
  },
  returns: v.id("messages"),
  handler: async (ctx, args) => {
    return await ctx.db.insert("messages", {
      channelId: args.channelId,
      authorId: args.authorId,
      content: args.content,
    });
  },
});
// ChatRoom.tsx
import { useQuery, useMutation } from "convex/react";
import { api } from "../convex/_generated/api";
import { useState, useRef, useEffect } from "react";

function ChatRoom({ channelId, userId }: Props) {
  const messages = useQuery(api.messages.list, { channelId });
  const sendMessage = useMutation(api.messages.send);
  const [input, setInput] = useState("");
  const messagesEndRef = useRef<HTMLDivElement>(null);

  // Auto-scroll to bottom on new messages
  useEffect(() => {
    messagesEndRef.current?.scrollIntoView({ behavior: "smooth" });
  }, [messages]);

  const handleSend = async (e: React.FormEvent) => {
    e.preventDefault();
    if (!input.trim()) return;

    await sendMessage({
      channelId,
      authorId: userId,
      content: input.trim(),
    });
    setInput("");
  };

  return (
    <div className="chat-room">
      <div className="messages">
        {messages?.map((msg) => (
          <div key={msg._id} className="message">
            <strong>{msg.authorName}:</strong> {msg.content}
          </div>
        ))}
        <div ref={messagesEndRef} />
      </div>
      
      <form onSubmit={handleSend}>
        <input
          value={input}
          onChange={(e) => setInput(e.target.value)}
          placeholder="Type a message..."
        />
        <button type="submit">Send</button>
      </form>
    </div>
  );
}

Best Practices

  • Never run npx convex deploy unless explicitly instructed
  • Never run any git commands unless explicitly instructed
  • Use "skip" for conditional queries instead of conditionally calling hooks
  • Implement optimistic updates for better perceived performance
  • Use usePaginatedQuery for large datasets
  • Handle undefined state (loading) explicitly
  • Avoid unnecessary re-renders by memoizing derived data

Common Pitfalls

  1. Conditional hook calls - Use "skip" instead of if statements
  2. Not handling loading state - Always check for undefined
  3. Missing optimistic update rollback - Optimistic updates auto-rollback on error
  4. Over-fetching with pagination - Use appropriate page sizes
  5. Ignoring subscription cleanup - React handles this automatically

References

  • Convex Documentation: https://docs.convex.dev/
  • Convex LLMs.txt: https://docs.convex.dev/llms.txt
  • React Client: https://docs.convex.dev/client/react
  • Optimistic Updates: https://docs.convex.dev/client/react/optimistic-updates
  • Pagination: https://docs.convex.dev/database/pagination

Score

0–100
63/ 100

Grade

C

Popularity15/30

2,335 installs — growing adoption.

Completeness27/30

Documented: full SKILL.md body, description, one-line install. Missing: category/license metadata.

Trust15/25

Community skill with a public GitHub source repository you can review.

Freshness6/15

No update timestamp is tracked for this skill in our catalog.

Scored automatically from popularity, completeness, trust, and freshness — computed only from data in our catalog, never fabricated.

Proud of your score? Add this badge to your README.

Paste a snippet into your GitHub README. The badge updates automatically and links back to this page.

Convex Realtime skill score badge previewScore badge

Markdown

[![Convex Realtime skill](https://www.claudemarket.ai/skills/waynesutton/convexskills/convex-realtime/badges/score.svg)](https://www.claudemarket.ai/skills/waynesutton/convexskills/convex-realtime)

HTML

<a href="https://www.claudemarket.ai/skills/waynesutton/convexskills/convex-realtime"><img src="https://www.claudemarket.ai/skills/waynesutton/convexskills/convex-realtime/badges/score.svg" alt="Convex Realtime skill"/></a>

Convex Realtime FAQ

How do I install the Convex Realtime skill?

Run “npx skills add https://github.com/waynesutton/convexskills --skill convex-realtime” in your terminal. The skill is added to your agent's skills directory and picked up automatically on the next run — no restart or extra configuration needed.

What does the Convex Realtime skill do?

Patterns for building reactive apps including subscription management, optimistic updates, cache behavior, and paginated queries with cursor-based loading The full SKILL.md on this page shows the exact instructions the skill gives your agent.

Is the Convex Realtime skill free?

Yes. Convex Realtime is a free, open-source skill published from waynesutton/convexskills. As with any third-party skill, review the source repository before installing it into an agent with sensitive access.

Does Convex Realtime work with Claude Code and OpenClaw?

Yes. Skills use the portable SKILL.md format, so Convex Realtime works with Claude Code, OpenClaw, Codex, Hermes, and any other agent that reads SKILL.md skills.

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