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Convex Setup Auth

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raroque
convex-setup-auth

Sets up Convex auth, identity mapping, and access control. Use for login, auth providers, users tables, protected functions, or roles in a Convex app.

Overview

Publisherraroque
Repositoryboop-agent
Skill nameconvex-setup-auth
Stars
1.4K
Forks
300
Bundled files
6
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.

  • 6 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

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

Installation

Install the Convex Setup Auth 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/raroque/boop-agent/tree/main/.agents/skills/convex-setup-auth
  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/raroque/boop-agent.git /tmp/boop-agent
mkdir -p .claude/skills
cp -r /tmp/boop-agent/.agents/skills/convex-setup-auth .claude/skills/convex-setup-auth
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Convex Setup Auth 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 Setup Auth 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 Setup Auth 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 Authentication Setup

Implement secure authentication in Convex with user management and access control.

When to Use

  • Setting up authentication for the first time
  • Implementing user management (users table, identity mapping)
  • Creating authentication helper functions
  • Setting up auth providers (Convex Auth, Clerk, WorkOS AuthKit, Auth0, custom JWT)

When Not to Use

  • Auth for a non-Convex backend
  • Pure OAuth/OIDC documentation without a Convex implementation
  • Debugging unrelated bugs that happen to surface near auth code
  • The auth provider is already fully configured and the user only needs a one-line fix

First Step: Choose the Auth Provider

Convex supports multiple authentication approaches. Do not assume a provider.

Before writing setup code:

  1. Ask the user which auth solution they want, unless the repository already makes it obvious
  2. If the repo already uses a provider, continue with that provider unless the user wants to switch
  3. If the user has not chosen a provider and the repo does not make it obvious, ask before proceeding

Common options:

  • Convex Auth - good default when the user wants auth handled directly in Convex
  • Clerk - use when the app already uses Clerk or the user wants Clerk's hosted auth features
  • WorkOS AuthKit - use when the app already uses WorkOS or the user wants AuthKit specifically
  • Auth0 - use when the app already uses Auth0
  • Custom JWT provider - use when integrating an existing auth system not covered above

Look for signals in the repo before asking:

  • Dependencies such as @clerk/*, @workos-inc/*, @auth0/*, or Convex Auth packages
  • Existing files such as convex/auth.config.ts, auth middleware, provider wrappers, or login components
  • Environment variables that clearly point at a provider

After Choosing a Provider

Read the provider's official guide and the matching local reference file:

The local reference files contain the concrete workflow, expected files and env vars, gotchas, and validation checks.

Use those sources for:

  • package installation
  • client provider wiring
  • environment variables
  • convex/auth.config.ts setup
  • login and logout UI patterns
  • framework-specific setup for React, Vite, or Next.js

For shared auth behavior, use the official Convex docs as the source of truth:

Prefer official docs over recalled steps, because provider CLIs and Convex Auth internals change between versions. Inventing setup from memory risks outdated patterns. For third-party providers, only add app-level user storage if the app actually needs user documents in Convex. Not every app needs a users table. For Convex Auth, follow the Convex Auth docs and built-in auth tables rather than adding a parallel users table plus storeUser flow, because Convex Auth already manages user records internally. After running provider initialization commands, verify generated files and complete the post-init wiring steps the provider reference calls out. Initialization commands rarely finish the entire integration.

Core Pattern: Protecting Backend Functions

The most common auth task is checking identity in Convex functions.

ts
// Bad: trusting a client-provided userId
export const getMyProfile = query({
  args: { userId: v.id("users") },
  handler: async (ctx, args) => {
    return await ctx.db.get(args.userId);
  },
});
ts
// Good: verifying identity server-side
export const getMyProfile = query({
  args: {},
  handler: async (ctx) => {
    const identity = await ctx.auth.getUserIdentity();
    if (!identity) throw new Error("Not authenticated");

    return await ctx.db
      .query("users")
      .withIndex("by_tokenIdentifier", (q) =>
        q.eq("tokenIdentifier", identity.tokenIdentifier),
      )
      .unique();
  },
});

Workflow

  1. Determine the provider, either by asking the user or inferring from the repo
  2. Ask whether the user wants local-only setup or production-ready setup now
  3. Read the matching provider reference file
  4. Follow the official provider docs for current setup details
  5. Follow the official Convex docs for shared backend auth behavior, user storage, and authorization patterns
  6. Only add app-level user storage if the docs and app requirements call for it
  7. Add authorization checks for ownership, roles, or team access only where the app needs them
  8. Verify login state, protected queries, environment variables, and production configuration if requested

If the flow blocks on interactive provider or deployment setup, ask the user explicitly for the exact human step needed, then continue after they complete it. For UI-facing auth flows, offer to validate the real sign-up or sign-in flow after setup is done. If the environment has browser automation tools, you can use them. If it does not, give the user a short manual validation checklist instead.

Reference Files

Provider References

  • references/convex-auth.md
  • references/clerk.md
  • references/workos-authkit.md
  • references/auth0.md

Checklist

  • Chosen the correct auth provider before writing setup code
  • Read the relevant provider reference file
  • Asked whether the user wants local-only setup or production-ready setup
  • Used the official provider docs for provider-specific wiring
  • Used the official Convex docs for shared auth behavior and authorization patterns
  • Only added app-level user storage if the app actually needs it
  • Did not invent a cross-provider users table or storeUser flow for Convex Auth
  • Added authentication checks in protected backend functions
  • Added authorization checks where the app actually needs them
  • Clear error messages ("Not authenticated", "Unauthorized")
  • Client auth provider configured for the chosen provider
  • If requested, production auth setup is covered too

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Convex Setup Auth AI skill do?

Sets up Convex auth, identity mapping, and access control. Use for login, auth providers, users tables, protected functions, or roles in a Convex app.

Why use Convex Setup Auth on TypingMind?

Because you install it once and use it with any model. Convex Setup Auth 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 Setup Auth in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/raroque/boop-agent/tree/main/.agents/skills/convex-setup-auth. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Convex Setup Auth?

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 Setup Auth?

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

Is the Convex Setup Auth AI skill free?

Yes. It is published on GitHub by raroque 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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