packages/skills/skills/convex-realtime/SKILL.md
Patterns for building reactive apps including subscription management, optimistic updates, cache behavior, and paginated queries with cursor-based loading
npx skillsauth add mediar-ai/skillhubz convex-realtimeInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Build reactive applications with Convex's real-time subscriptions, optimistic updates, intelligent caching, and cursor-based pagination.
Before implementing, do not assume; fetch the latest documentation:
// 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>
);
}
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>;
}
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>
);
}
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>
);
}
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,
]);
}
}
);
}
// 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>
);
}
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>
);
}
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>
);
}
// 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>
);
}
npx convex deploy unless explicitly instructedtools
Use when the user wants to manage Valet agents, channels, connectors, organizations, or environment variables (secrets and plain config) via the valet CLI. Handles creation, deployment, linking, teardown, and all multi-step workflows. Also use when asked to "create an agent", "deploy an agent", "design an agent", "build me an agent that...", "create a connector", "set up a webhook", or anything involving the Valet platform or any request to create and deploy AI agents. Also use when asked to "learn from this session", "capture this workflow", "save this as an agent", "make this repeatable", or when writing SOUL.md files.
tools
Publish files, folders, and artifacts to the web. Static hosting for HTML sites, images, PDFs, reports, dashboards, and any file type. Use when asked to publish, host, upload, serve, or share work at a live URL. Also use to propose a rendered page when a report, comparison, chart, design document, or status page would work better than terminal text, but do not create or update a remote site until the user asks or agrees. Account publishing gives a permanent, private-by-default URL visible to org members; --anonymous gives a temporary public URL with no account. Use the valet CLI when available and its MCP server when the CLI cannot run. For deploying an AI agent rather than static files, use the `valet` skill instead.
testing
# Faceless.so Turn a script, prompt, Reddit post, or blog into a Remotion short with TTS, captions, and B-roll, then auto-post to YouTube, TikTok, Instagram, X, Facebook, LinkedIn, and Threads. ## Prerequisites - A Faceless.so account (from $24/mo) at https://faceless.so - Source material: script, prompt, Reddit URL, or blog URL - Destination social accounts to auto-post (YouTube, TikTok, Instagram, X, Facebook, LinkedIn, Threads) ## Instructions 1. Open https://faceless.so and start a new
testing
# BIMI SVG Tiny P/S Corpus Validator Use the public makeBIMI SVG Tiny P/S Test Corpus to evaluate an SVG against its evidence-bound fixture rules and to report the result clearly. ## Inputs Accept either an SVG file, an SVG URL, or raw SVG markup. If the source cannot be retrieved or parsed as XML, stop and report that limitation. ## Authoritative corpus 1. Retrieve the current manifest from `https://makebimi.com/public/test-corpus/v1/manifest.json`. 2. Record `schema_version`, `corpus_vers