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convex-quickstart

Get a production-ready Convex backend set up in minutes. This skill guides you through initializing Convex, creating your schema, setting up auth, and building your first CRUD operations.

get-convex/convex-agent-pluginsUpdated Apr 8, 2026

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Claude CodeCursorClineWindsurfCodexGooseGitHub CopilotZed

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Install Skill

Run in your terminal

$npx skills add https://github.com/get-convex/convex-agent-plugins --skill convex-quickstart

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Installation Guide

How to use convex-quickstart on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • ›Cursor installed and configured on your machine
  • ›Node.js 16+ with npm — verify with node --version
  • ›Active project directory where you want to add convex-quickstart
2

Run the install command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/get-convex/convex-agent-plugins --skill convex-quickstart

Fetches convex-quickstart from get-convex/convex-agent-plugins and configures it for Cursor.

3

Select Cursor when prompted

The CLI shows a list of agents. Use arrow keys and space to select Cursor:

◆ Which agents do you want to install to?
│
│ ── Universal (.agents/skills) ────────────────
│ · Cline · Codex · Goose · Windsurf
│ ●Cursor(selected)
│ · Cursor · Aider · Continue
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/convex-quickstart

Restart Cursor to activate convex-quickstart. Access via /convex-quickstart in your agent's command palette.

⚠

Security Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.

›View source on GitHub›Skills CLI docs›About Cursor›What are agent skills?

Documentation

Convex Quickstart

Get a production-ready Convex backend set up in minutes. This skill guides you through initializing Convex, creating your schema, setting up auth, and building your first CRUD operations.

When to Use

  • Starting a brand new project with Convex
  • Adding Convex to an existing React/Next.js app
  • Prototyping a new feature with real-time data
  • Converting from another backend to Convex
  • Teaching someone Convex for the first time

Prerequisites Check

Before starting, verify:

node --version  # v18 or higher
npm --version   # v8 or higher

Quick Start Flow

Step 1: Install and Initialize

# Install Convex
npm install convex

# Initialize (creates convex/ directory)
npx convex dev

This command:

  • Creates convex/ directory
  • Sets up authentication
  • Starts development server
  • Generates TypeScript types

Step 2: Create Schema

Create convex/schema.ts:

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

export default defineSchema({
  users: defineTable({
    tokenIdentifier: v.string(),
    name: v.string(),
    email: v.string(),
  }).index("by_token", ["tokenIdentifier"]),

  // Add your tables here
  // Example: Tasks table
  tasks: defineTable({
    userId: v.id("users"),
    title: v.string(),
    completed: v.boolean(),
    createdAt: v.number(),
  })
    .index("by_user", ["userId"])
    .index("by_user_and_completed", ["userId", "completed"]),
});

Step 3: Set Up Authentication

We'll use WorkOS AuthKit, which provides a complete auth solution with minimal setup.

npm install @workos-inc/authkit-react

For React/Vite Apps:

// src/main.tsx
import { AuthKitProvider, useAuth } from "@workos-inc/authkit-react";
import { ConvexReactClient } from "convex/react";
import { ConvexProvider } from "convex/react";

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

// Configure Convex to use WorkOS auth
convex.setAuth(useAuth);

function App() {
  return (
    <AuthKitProvider clientId={import.meta.env.VITE_WORKOS_CLIENT_ID}>
      <ConvexProvider client={convex}>
        <YourApp />
      </ConvexProvider>
    </AuthKitProvider>
  );
}

For Next.js Apps:

npm install @workos-inc/authkit-nextjs

// app/layout.tsx
import { AuthKitProvider } from "@workos-inc/authkit-nextjs";
import { ConvexClientProvider } from "./ConvexClientProvider";

export default function RootLayout({ children }: { children: React.ReactNode }) {
  return (
    <html>
      <body>
        <AuthKitProvider>
          <ConvexClientProvider>
            {children}
          </ConvexClientProvider>
        </AuthKitProvider>
      </body>
    </html>
  );
}

// app/ConvexClientProvider.tsx
"use client";

import { ConvexReactClient } from "convex/react";
import { ConvexProvider } from "convex/react";
import { useAuth } from "@workos-inc/authkit-nextjs";

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

export function ConvexClientProvider({ children }: { children: React.ReactNode }) {
  const { getToken } = useAuth();

  convex.setAuth(async () => {
    return await getToken();
  });

  return <ConvexProvider client={convex}>{children}</ConvexProvider>;
}

Environment Variables:

# .env.local
VITE_CONVEX_URL=https://your-deployment.convex.cloud
VITE_WORKOS_CLIENT_ID=your_workos_client_id

# For Next.js:
NEXT_PUBLIC_CONVEX_URL=https://your-deployment.convex.cloud
NEXT_PUBLIC_WORKOS_CLIENT_ID=your_workos_client_id
WORKOS_API_KEY=your_workos_api_key
WORKOS_COOKIE_PASSWORD=generate_a_random_32_character_string

Alternative auth providers: If you need to use a different provider (Clerk, Auth0, custom JWT), see the Convex auth documentation.

Step 4: Create Auth Helpers

Create convex/lib/auth.ts:

import { QueryCtx, MutationCtx } from "../_generated/server";
import { Doc } from "../_generated/dataModel";

export async function getCurrentUser(
  ctx: QueryCtx | MutationCtx
): Promise<Doc<"users">> {
  const identity = await ctx.auth.getUserIdentity();
  if (!identity) {
    throw new Error("Not authenticated");
  }

  const user = await ctx.db
    .query("users")
    .withIndex(

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Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

✓

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

✓

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

✓

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • ›Claude Desktop or compatible AI client with skill support
  • ›Clear understanding of task or problem to solve
  • ›Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Steps

  1. 1Install skill using provided installation command
  2. 2Test with simple use case relevant to your work
  3. 3Evaluate output quality and relevance
  4. 4Iterate on prompts to improve results
  5. 5Integrate into regular workflow if valuable

Common Pitfalls

  • ⚠Expecting perfect results without iteration
  • ⚠Not providing enough context in prompts
  • ⚠Using skill for tasks outside its intended scope
  • ⚠Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • −Don't use without understanding skill limitations
  • −Don't skip validation of outputs
  • −Don't share sensitive information in prompts
  • −Don't expect skill to replace human judgment

💡 Pro Tips

  • ★Be specific about desired format and style
  • ★Ask for multiple options to choose from
  • ★Request explanations to understand reasoning
  • ★Combine AI efficiency with human expertise

When to Use This

✓ Use when

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid when

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

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Reviews

4.5★★★★★52 reviews
  • K
    Kwame Mensah★★★★★Dec 28, 2024

    convex-quickstart fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • A
    Ama Thompson★★★★★Dec 24, 2024

    I recommend convex-quickstart for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • S
    Shikha Mishra★★★★★Dec 20, 2024

    Registry listing for convex-quickstart matched our evaluation — installs cleanly and behaves as described in the markdown.

  • O
    Olivia Mehta★★★★★Nov 19, 2024

    We added convex-quickstart from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • R
    Ren Singh★★★★★Nov 15, 2024

    Useful defaults in convex-quickstart — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • R
    Rahul Santra★★★★★Nov 11, 2024

    Keeps context tight: convex-quickstart is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • C
    Chinedu Reddy★★★★★Oct 10, 2024

    convex-quickstart reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • R
    Ren Gonzalez★★★★★Oct 6, 2024

    Registry listing for convex-quickstart matched our evaluation — installs cleanly and behaves as described in the markdown.

  • P
    Pratham Ware★★★★★Oct 2, 2024

    I recommend convex-quickstart for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • D
    Diya Okafor★★★★★Sep 17, 2024

    Solid pick for teams standardizing on skills: convex-quickstart is focused, and the summary matches what you get after install.

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