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Convex Quickstart

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waynesutton
convex-quickstart

Initialize a new Convex project from scratch or add Convex to an existing app. Use when starting a new project with Convex, scaffolding a Convex app, or integrating Convex into an existing frontend.

Overview

Publisherwaynesutton
Repositorymarkdown-site
Skill nameconvex-quickstart
Stars
627
Forks
91
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by waynesutton on GitHub. Read the source before you install it.

Installation

Install the Convex Quickstart AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/waynesutton/markdown-site/tree/main/.claude/convex-quickstart
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/waynesutton/markdown-site.git /tmp/markdown-site
mkdir -p .claude/skills
cp -r /tmp/markdown-site/.claude/convex-quickstart .claude/skills/convex-quickstart
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Convex Quickstart in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Convex Quickstart on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Convex Quickstart is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Convex Quickstart

Set up a working Convex project as fast as possible.

When to Use

  • Starting a brand new project with Convex
  • Adding Convex to an existing React, Next.js, Vue, Svelte, or other app
  • Scaffolding a Convex app for prototyping

When Not to Use

  • The project already has Convex installed and convex/ exists: just start building
  • You only need to add auth to an existing Convex app: use the convex-setup-auth skill

Workflow

  1. Determine the starting point: new project or existing app
  2. If new project, pick a template and scaffold with npm create convex@latest
  3. If existing app, install convex and wire up the provider
  4. Run npx convex dev to connect a deployment and start the dev loop
  5. Verify the setup works

Path 1: New Project (Recommended)

Pick a template

TemplateStack
react-vite-shadcnReact + Vite + Tailwind + shadcn/ui
nextjs-shadcnNext.js App Router + Tailwind + shadcn/ui
react-vite-clerk-shadcnReact + Vite + Clerk auth + shadcn/ui
nextjs-clerkNext.js + Clerk auth
nextjs-convexauth-shadcnNext.js + Convex Auth + shadcn/ui
bareConvex backend only, no frontend

Default to react-vite-shadcn for simple apps or nextjs-shadcn for apps that need SSR or API routes.

Scaffold the project

Always pass the project name and template flag to avoid interactive prompts:

bash
npm create convex@latest my-app -- -t react-vite-shadcn
cd my-app
npm install

Start the dev loop

Ask the user to run npx convex dev in their terminal. On first run it will prompt them to log in or develop anonymously. Once running, it will:

  • Create a Convex project and dev deployment
  • Write the deployment URL to .env.local
  • Create the convex/ directory with generated types
  • Watch for changes and sync continuously

Path 2: Add Convex to an Existing App

Install

bash
npm install convex

Wire up the provider

React (Vite)
tsx
// src/main.tsx
import { StrictMode } from "react";
import { createRoot } from "react-dom/client";
import { ConvexProvider, ConvexReactClient } from "convex/react";
import App from "./App";

const convex = new ConvexReactClient(import.meta.env.VITE_CONVEX_URL as string);

createRoot(document.getElementById("root")!).render(
  <StrictMode>
    <ConvexProvider client={convex}>
      <App />
    </ConvexProvider>
  </StrictMode>,
);
Next.js (App Router)
tsx
// app/ConvexClientProvider.tsx
"use client";

import { ConvexProvider, ConvexReactClient } from "convex/react";
import { ReactNode } from "react";

const convex = new ConvexReactClient(process.env.NEXT_PUBLIC_CONVEX_URL!);

export function ConvexClientProvider({ children }: { children: ReactNode }) {
  return <ConvexProvider client={convex}>{children}</ConvexProvider>;
}

Environment variables

FrameworkVariable
ViteVITE_CONVEX_URL
Next.jsNEXT_PUBLIC_CONVEX_URL
RemixCONVEX_URL
React NativeEXPO_PUBLIC_CONVEX_URL

Writing Your First Function

convex/schema.ts:

ts
import { defineSchema, defineTable } from "convex/server";
import { v } from "convex/values";

export default defineSchema({
  tasks: defineTable({
    text: v.string(),
    completed: v.boolean(),
  }),
});

convex/tasks.ts:

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

export const list = query({
  args: {},
  handler: async (ctx) => {
    return await ctx.db.query("tasks").collect();
  },
});

export const create = mutation({
  args: { text: v.string() },
  handler: async (ctx, args) => {
    await ctx.db.insert("tasks", { text: args.text, completed: false });
  },
});

Use in a React component:

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

function Tasks() {
  const tasks = useQuery(api.tasks.list);
  const create = useMutation(api.tasks.create);

  return (
    <div>
      <button onClick={() => create({ text: "New task" })}>Add</button>
      {tasks?.map((t) => <div key={t._id}>{t.text}</div>)}
    </div>
  );
}

Checklist

  • Determined starting point: new project or existing app
  • If new project: scaffolded with npm create convex@latest using appropriate template
  • If existing app: installed convex and wired up the provider
  • User has npx convex dev running and connected to a deployment
  • convex/_generated/ directory exists with types
  • .env.local has the deployment URL
  • Verified a basic query/mutation round-trip works

Source: https://github.com/get-convex/agent-skills

Frequently asked questions

What does the Convex Quickstart AI skill do?

Initialize a new Convex project from scratch or add Convex to an existing app. Use when starting a new project with Convex, scaffolding a Convex app, or integrating Convex into an existing frontend.

Why use Convex Quickstart on TypingMind?

Because you install it once and use it with any model. Convex Quickstart is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Convex Quickstart in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/waynesutton/markdown-site/tree/main/.claude/convex-quickstart. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Convex Quickstart?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Convex Quickstart?

As many as you like. As long as a model supports skills, you can use Convex Quickstart with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Convex Quickstart AI skill free?

Yes. It is published on GitHub by waynesutton under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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