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Nuxthub

Community
onmax
nuxthub

Use when building NuxtHub v0.10.6 applications - provides database (Drizzle ORM with sqlite/postgresql/mysql), KV storage, blob storage, and cache APIs. Covers configuration, schema definition, migrations, multi-cloud deployment (Cloudflare, Vercel), and the new hub:db, hub:kv, hub:blob virtual module imports.

Overview

Publisheronmax
Repositorynuxt-skills
Skill namenuxthub
Stars
711
Forks
37
Bundled files
3
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.

  • 3 bundled files

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

  • Open source

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

Installation

Install the Nuxthub 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.
  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/onmax/nuxt-skills.git /tmp/nuxt-skills
mkdir -p .claude/skills
cp -r /tmp/nuxt-skills/skills/nuxthub .claude/skills/nuxthub
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Nuxthub 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 Nuxthub 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 Nuxthub 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.

NuxtHub v0.10.6

Full-stack Nuxt framework with database, KV, blob, and cache. Multi-cloud support (Cloudflare, Vercel, Deno, Netlify).

For Nuxt server patterns: use nuxt skill (server.md) For content with database: use nuxt-content skill

Loading Files

Consider loading these reference files based on your task:

DO NOT load all files at once. Load only what's relevant to your current task.

Installation

bash
npx nuxi module add hub

Configuration

ts
// nuxt.config.ts
export default defineNuxtConfig({
  modules: ['@nuxthub/core'],
  hub: {
    db: 'sqlite', // 'sqlite' | 'postgresql' | 'mysql'
    kv: true,
    blob: true,
    cache: true,
    dir: '.data', // local storage directory
    remote: false // use production bindings in dev (v0.10+)
  }
})

Advanced Config

ts
hub: {
  db: {
    dialect: 'postgresql',
    driver: 'postgres-js', // Optional: auto-detected
    casing: 'snake_case',  // camelCase JS -> snake_case DB (v0.10.3+)
    migrationsDirs: ['server/db/custom-migrations/'],
    applyMigrationsDuringBuild: true, // default
    replica: { // Read replica support (v0.10.6+)
      connection: { connectionString: process.env.DATABASE_REPLICA_URL }
    }
  },
  remote: true // Use production Cloudflare bindings in dev (v0.10+)
}

remote mode: When enabled, connects to production D1/KV/R2 during local development instead of local emulation. Useful for testing with production data.

Database replica (v0.10.6+): Configure read replicas to distribute database load. Queries use replicas automatically while writes go to primary.

Database

Type-safe SQL via Drizzle ORM. db and schema are auto-imported on server-side.

Schema Definition

Place in server/db/schema.ts or server/db/schema/*.ts:

ts
// server/db/schema.ts (SQLite)
import { integer, sqliteTable, text } from 'drizzle-orm/sqlite-core'

export const users = sqliteTable('users', {
  id: integer().primaryKey({ autoIncrement: true }),
  name: text().notNull(),
  email: text().notNull().unique(),
  createdAt: integer({ mode: 'timestamp' }).notNull()
})

PostgreSQL variant:

ts
import { pgTable, serial, text, timestamp } from 'drizzle-orm/pg-core'

export const users = pgTable('users', {
  id: serial().primaryKey(),
  name: text().notNull(),
  email: text().notNull().unique(),
  createdAt: timestamp().notNull().defaultNow()
})

Database API

ts
// db and schema are auto-imported on server-side
import { db, schema } from 'hub:db'

// Select
const users = await db.select().from(schema.users)
const user = await db.query.users.findFirst({ where: eq(schema.users.id, 1) })

// Insert
const [newUser] = await db.insert(schema.users).values({ name: 'John', email: 'john@example.com' }).returning()

// Update
await db.update(schema.users).set({ name: 'Jane' }).where(eq(schema.users.id, 1))

// Delete
await db.delete(schema.users).where(eq(schema.users.id, 1))

Migrations

bash
npx nuxt db generate                  # Generate migrations from schema
npx nuxt db migrate                   # Apply pending migrations
npx nuxt db sql "SELECT * FROM users" # Execute raw SQL
npx nuxt db drop <TABLE>              # Drop a specific table
npx nuxt db drop-all                  # Drop all tables (v0.10+)
npx nuxt db squash                    # Squash migrations into one (v0.10+)
npx nuxt db mark-as-migrated [NAME]   # Mark as migrated without running

Migrations auto-apply during npx nuxi dev and npx nuxi build. Tracked in _hub_migrations table.

Database Providers

DialectLocalProduction
sqlite.data/db/sqlite.dbD1 (Cloudflare), Turso (TURSO_DATABASE_URL, TURSO_AUTH_TOKEN)
postgresqlPGlitepostgres-js (DATABASE_URL), neon-http (v0.10.2+, DATABASE_URL)
mysql-mysql2 (DATABASE_URL, MYSQL_URL)

KV Storage

Key-value storage. kv is auto-imported on server-side.

ts
import { kv } from 'hub:kv'

await kv.set('key', { data: 'value' })
await kv.set('key', value, { ttl: 60 }) // TTL in seconds
const value = await kv.get('key')
const exists = await kv.has('key')
await kv.del('key')
const keys = await kv.keys('prefix:')
await kv.clear('prefix:')

Constraints: max value 25 MiB, max key 512 bytes.

KV Providers

ProviderPackageEnv Vars
Upstash@upstash/redisUPSTASH_REDIS_REST_URL, UPSTASH_REDIS_REST_TOKEN
RedisioredisREDIS_URL
Cloudflare KV-KV binding in wrangler.jsonc
Deno KV-Auto on Deno Deploy
Vercel-KV_REST_API_URL, KV_REST_API_TOKEN

Blob Storage

File storage. blob is auto-imported on server-side.

Blob API

ts
import { blob } from 'hub:blob'

// Upload
const result = await blob.put('path/file.txt', body, {
  contentType: 'text/plain',
  access: 'public', // 'public' | 'private' (v0.10.2+)
  addRandomSuffix: true,
  prefix: 'uploads'
})
// Returns: { pathname, contentType, size, httpEtag, uploadedAt }

// Download
const file = await blob.get('path/file.txt') // Returns Blob or null

// List
const { blobs, cursor, hasMore, folders } = await blob.list({ prefix: 'uploads/', limit: 10, folded: true })

// Serve (with proper headers)
return blob.serve(event, 'path/file.txt')

// Delete
await blob.del('path/file.txt')
await blob.del(['file1.txt', 'file2.txt']) // Multiple

// Metadata only
const meta = await blob.head('path/file.txt')

Upload Helpers

ts
// Server: Validate + upload handler
export default eventHandler(async (event) => {
  return blob.handleUpload(event, {
    formKey: 'files',
    multiple: true,
    ensure: { maxSize: '10MB', types: ['image/png', 'image/jpeg'] },
    put: { addRandomSuffix: true, prefix: 'images' }
  })
})

// Validate before manual upload
ensureBlob(file, { maxSize: '10MB', types: ['image'] })

// Multipart upload for large files (>10MB)
export default eventHandler(async (event) => {
  return blob.handleMultipartUpload(event) // Route: /api/files/multipart/[action]/[...pathname]
})

Vue Composables

ts
// Simple upload
const upload = useUpload('/api/upload')
const result = await upload(inputElement)

// Multipart with progress
const mpu = useMultipartUpload('/api/files/multipart')
const { completed, progress, abort } = mpu(file)

Blob Providers

ProviderPackageConfig
Cloudflare R2-BLOB binding in wrangler.jsonc
Vercel Blob@vercel/blobBLOB_READ_WRITE_TOKEN
S3aws4fetchS3_ACCESS_KEY_ID, S3_SECRET_ACCESS_KEY, S3_BUCKET, S3_REGION

Cache

Response and function caching.

Route Handler Caching

ts
export default cachedEventHandler((event) => {
  return { data: 'cached', date: new Date().toISOString() }
}, {
  maxAge: 60 * 60, // 1 hour
  getKey: event => event.path
})

Function Caching

ts
export const getStars = defineCachedFunction(
  async (event: H3Event, repo: string) => {
    const data = await $fetch(`https://api.github.com/repos/${repo}`)
    return data.stargazers_count
  },
  { maxAge: 3600, name: 'ghStars', getKey: (event, repo) => repo }
)

Cache Invalidation

ts
// Remove specific
await useStorage('cache').removeItem('nitro:functions:getStars:repo-name.json')

// Clear by prefix
await useStorage('cache').clear('nitro:handlers')

Cache key pattern: ${group}:${name}:${getKey(...args)}.json (defaults: group='nitro', name='handlers'|'functions'|'routes')

Deployment

Cloudflare

NuxtHub auto-generates wrangler.json from your hub config - no manual wrangler.jsonc required:

ts
// nuxt.config.ts
export default defineNuxtConfig({
  hub: {
    db: {
      dialect: 'sqlite',
      driver: 'd1',
      connection: { databaseId: '<database-id>' }
    },
    kv: {
      driver: 'cloudflare-kv-binding',
      namespaceId: '<kv-namespace-id>'
    },
    cache: {
      driver: 'cloudflare-kv-binding',
      namespaceId: '<cache-namespace-id>'
    },
    blob: {
      driver: 'cloudflare-r2',
      bucketName: '<bucket-name>'
    }
  }
})

Observability (recommended): Enable logging for production deployments:

jsonc
// wrangler.jsonc (optional)
{
  "observability": {
    "logs": {
      "enabled": true,
      "head_sampling_rate": 1,
      "invocation_logs": true,
      "persist": true
    }
  }
}

Create resources via Cloudflare dashboard or CLI:

bash
npx wrangler d1 create my-db              # Get database-id
npx wrangler kv namespace create KV       # Get kv-namespace-id
npx wrangler kv namespace create CACHE    # Get cache-namespace-id
npx wrangler r2 bucket create my-bucket   # Get bucket-name

Deploy: Create Cloudflare Workers project, link Git repo. Bindings auto-configured at build time.

Environments: Use CLOUDFLARE_ENV=preview for preview deployments.

See references/wrangler-templates.md for manual wrangler.jsonc patterns and references/providers.md for all provider configurations.

Other Providers

See references/providers.md for detailed deployment patterns for:

  • Vercel: Postgres, Turso, Vercel Blob, Vercel KV
  • Netlify: External databases, S3, Upstash Redis
  • Deno Deploy: Deno KV
  • AWS/Self-hosted: S3, RDS, custom configs

D1 over HTTP

Query D1 from non-Cloudflare hosts:

ts
hub: {
  db: { dialect: 'sqlite', driver: 'd1-http' }
}

Requires: NUXT_HUB_CLOUDFLARE_ACCOUNT_ID, NUXT_HUB_CLOUDFLARE_API_TOKEN, NUXT_HUB_CLOUDFLARE_DATABASE_ID

Build-time Hooks

ts
// Extend schema
nuxt.hook('hub:db:schema:extend', async ({ dialect, paths }) => {
  paths.push(await resolvePath(`./schema/custom.${dialect}`))
})

// Add migration directories
nuxt.hook('hub:db:migrations:dirs', (dirs) => {
  dirs.push(resolve('./db-migrations'))
})

// Post-migration queries (idempotent)
nuxt.hook('hub:db:queries:paths', (paths, dialect) => {
  paths.push(resolve(`./seed.${dialect}.sql`))
})

Type Sharing

ts
// shared/types/db.ts
import type { users } from '~/server/db/schema'

export type User = typeof users.$inferSelect
export type NewUser = typeof users.$inferInsert

WebSocket / Realtime

Enable experimental WebSocket:

ts
// nuxt.config.ts
nitro: { experimental: { websocket: true } }
ts
// server/routes/ws/chat.ts
export default defineWebSocketHandler({
  open(peer) {
    peer.subscribe('chat')
    peer.publish('chat', 'User joined')
  },
  message(peer, message) {
    peer.publish('chat', message.text())
  },
  close(peer) {
    peer.unsubscribe('chat')
  }
})

Deprecated (v0.10)

Removed Cloudflare-specific features:

  • hubAI() -> Use AI SDK with Workers AI Provider
  • hubBrowser() -> Puppeteer
  • hubVectorize() -> Vectorize
  • NuxtHub Admin -> Sunset Dec 31, 2025
  • npx nuxthub deploy -> Use wrangler deploy

Quick Reference

FeatureImportAccess
Databaseimport { db, schema } from 'hub:db'db.select(), db.insert(), etc.
KVimport { kv } from 'hub:kv'kv.get(), kv.set(), etc.
Blobimport { blob } from 'hub:blob'blob.put(), blob.get(), etc.

All are auto-imported on server-side.

Resources

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 Nuxthub AI skill do?

Use when building NuxtHub v0.10.6 applications - provides database (Drizzle ORM with sqlite/postgresql/mysql), KV storage, blob storage, and cache APIs. Covers configuration, schema definition, migrations, multi-cloud deployment (Cloudflare, Vercel), and the new hub:db, hub:kv, hub:blob virtual module imports.

Why use Nuxthub on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/onmax/nuxt-skills/tree/main/skills/nuxthub. 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 Nuxthub?

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 Nuxthub?

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

Is the Nuxthub AI skill free?

Yes. It is published on GitHub by onmax 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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