Convex Auth

Organization

get-convex

convex-auth

Add authentication (passkeys/OAuth) to the current Convex app, including the auth.config.ts wiring.

Overview

Publisher	get-convex
Repository	`agent-skills`
Skill name	`convex-auth`
Stars	64
Forks	11
Bundled files	Instructions only
License	Apache-2.0
Links	Skill source Repository

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 get-convex on GitHub. Read the source before you install it.

Installation

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

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/get-convex/agent-skills/tree/main/skills/convex-auth
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.

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/get-convex/agent-skills.git /tmp/agent-skills
mkdir -p .claude/skills
cp -r /tmp/agent-skills/skills/convex-auth .claude/skills/convex-auth

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Convex 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 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 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.

Add sign-in to the app

Install and wire @convex-dev/auth for the current app: a provider (passkeys by default, or OAuth/password), the server config, the client hooks, and a sign-in UI — correctly, including the auth.config.ts that's the #1 real-world auth footgun.

Workflow

Install @convex-dev/auth (pinned build) and add it to convex.config.ts. With pnpm, also pnpm add jose (it won't hoist otherwise); you need it for step 3.
Add the provider in convex/auth.ts (Passkey by default; Password or OAuth like Google on request).
Generate the auth keys HEADLESSLY. Do NOT run the interactive npx @convex-dev/auth wizard: it needs a login/TTY and hangs in non-interactive, anonymous, or CI runs (the #1 auth time-sink). Generate JWT_PRIVATE_KEY + JWKS deterministically with jose: node -e 'import("jose").then(async({generateKeyPair,exportPKCS8,exportJWK})=>{const k=await generateKeyPair("RS256",{extractable:true});const priv=await exportPKCS8(k.privateKey);const pub=await exportJWK(k.publicKey);process.stdout.write(JSON.stringify({JWT_PRIVATE_KEY:priv.trimEnd().replace(/\n/g," "),JWKS:JSON.stringify({keys:[{use:"sig",...pub}]})}))})' > .auth-keys.json Then set JWT_PRIVATE_KEY and JWKS (from .auth-keys.json) plus SITE_URL on the deployment. Prefer the Convex MCP envSet tool, one call per var, to avoid shell-quoting the multi-line key. CLI fallback: use the NAME=VALUE form (npx convex env set "JWT_PRIVATE_KEY=$JWT"), NEVER env set JWT_PRIVATE_KEY "$JWT" (the value starts with -----BEGIN and the CLI parses the leading - as an unknown flag). SITE_URL is the dev URL (e.g. http://localhost:3000). Delete .auth-keys.json after.
Write convex/auth.config.ts (the silently-always-signed-out bug lives here if it's wrong).
Wire the client: ConvexAuthProvider, the sign-in component, and route guards. If you import shadcn/ui primitives (button, input, textarea, label, and so on), add them first with npx shadcn@latest add <name>; a missing @/components/ui/* is a hard build error.
Verify a sign-in round-trips before declaring done.

Rules

Generate JWT_PRIVATE_KEY/JWKS with jose (extractable RS256; PKCS8 newlines to spaces; JWKS = {keys:[{use:"sig", ...publicJwk}]}). Do NOT run the interactive npx @convex-dev/auth wizard: it hangs headless/anonymous. Set the vars via the MCP envSet tool or the NAME=VALUE CLI form.
Always write auth.config.ts: a missing/incorrect one makes the app silently always-signed-out with no error.
Passkeys by default; only switch to password/OAuth on explicit request.
Install any shadcn/ui primitive you import up front (npx shadcn@latest add ...); a missing @/components/ui/* is a hard build failure.
Verify a real sign-in works before finishing.

Frequently asked questions

What does the Convex Auth AI skill do?

Add authentication (passkeys/OAuth) to the current Convex app, including the auth.config.ts wiring.

Why use Convex Auth on TypingMind?

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

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

Which AI models can use Convex 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 Auth?

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

Is the Convex Auth AI skill free?

Yes. It is published on GitHub by get-convex under the Apache-2.0 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Add sign-in to the app

Workflow

Rules

Frequently asked questions

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