MCPInstall

netlify-db

Guide for using Netlify DB (managed Neon Postgres). Use when the project needs a relational database, structured data storage, SQL queries, or data that will grow over time. Covers provisioning, raw SQL via @netlify/neon, Drizzle ORM integration, migrations, and deploy preview branching. Also covers when to use Netlify Blobs instead.

Installs
96
Last 24h
—
Trending rank
—
Security
Not audited

Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/netlify/context-and-tools --skill netlify-db
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads netlify-db automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

Netlify DB

Netlify DB provisions a managed Neon Postgres database automatically. No Neon account required.

When to Use DB vs Blobs

Use Netlify DB when:

  • Storing structured, relational data
  • Data will grow over time
  • Need queries, filtering, joins, or aggregations

Use Netlify Blobs instead when:

  • Storing files (images, documents, exports)
  • A handful of records with no growth expectation
  • Simple key-value storage with no relational needs
  • Want zero dependencies beyond @netlify/blobs

See the netlify-blobs skill for Blobs usage.

Setup

npm install @netlify/neon
netlify db init    # Provisions database and sets up Drizzle ORM

Prerequisites: logged into Netlify CLI and site linked (netlify link).

Raw SQL via @netlify/neon

@netlify/neon wraps @neondatabase/serverless. No connection string needed — it auto-configures.

import { neon } from "@netlify/neon";
const sql = neon();

const users = await sql("SELECT * FROM users");
await sql("INSERT INTO users (name) VALUES ($1)", ["Jane"]);
await sql("UPDATE users SET name = $1 WHERE id = $2", ["Jane", 1]);
await sql("DELETE FROM users WHERE id = $1", [1]);

Drizzle ORM Integration

For most projects, use Drizzle ORM on top of Netlify DB.

drizzle.config.ts

import { defineConfig } from "drizzle-kit";

export default defineConfig({
  dialect: "postgresql",
  dbCredentials: { url: process.env.NETLIFY_DATABASE_URL! },
  schema: "./db/schema.ts",
  out: "./migrations",
  migrations: { prefix: "timestamp" }, // Avoids conflicts across branches
});

db/index.ts

import { neon } from "@neondatabase/serverless";
import { drizzle } from "drizzle-orm/neon-http";
import * as schema from "./schema";

const sql = neon(process.env.NETLIFY_DATABASE_URL!);
export const db = drizzle(sql, { schema });
export * from "./schema";

Schema Example

// db/schema.ts
import { integer, pgTable, varchar, text, boolean, timestamp } from "drizzle-orm/pg-core";

export const items = pgTable("items", {
  id: integer().primaryKey().generatedAlwaysAsIdentity(),
  title: varchar({ length: 255 }).notNull(),
  description: text(),
  isActive: boolean("is_active").notNull().default(true),
  createdAt: timestamp("created_at").defaultNow(),
  updatedAt: timestamp("updated_at").defaultNow(),
});

export type Item = typeof items.$inferSelect;
export type NewItem = typeof items.$inferInsert;

Query Patterns

import { db, items } from "../db";
import { eq } from "drizzle-orm";

const all = await db.select().from(items);
const [one] = await db.select().from(items).where(eq(items.id, id)).limit(1);
const [created] = await db.insert(items).values({ title: "New" }).returning();
const [updated] = await db.update(items).set({ title: "Updated" }).where(eq(items.id, id)).returning();
await db.delete(items).where(eq(items.id, id));

Migrations

{
  "scripts": {
    "db:generate": "drizzle-kit generate",
    "db:migrate": "netlify dev:exec drizzle-kit migrate",
    "db:push": "netlify dev:exec drizzle-kit push",
    "db:studio": "netlify dev:exec drizzle-kit studio"
  }
}

Workflow: modify schema, run db:generate, then db:migrate.

Deploy Preview Branching

Netlify DB supports branching — production branch gets the production database, all other branches and deploy previews get a separate preview branch. Develop and test migrations on preview, merge to main, then apply to production.

Environment Variables

  • NETLIFY_DATABASE_URL — Auto-set by Netlify when database is provisioned
  • Retrieve manually: netlify env:get NETLIFY_DATABASE_URL

Local Development

Run netlify dev or use @netlify/vite-plugin to get database access locally. Use netlify dev:exec to run migration commands with the proper environment.

FAQ

What does the netlify-db skill do?

Guide for using Netlify DB (managed Neon Postgres). Use when the project needs a relational database, structured data storage, SQL queries, or data that will grow over time. Covers provisioning, raw SQL via @netlify/neon, Drizzle ORM integration, migrations, and deploy preview branching. Also covers when to use Netlify Blobs instead.

How do I install netlify-db?

Run npx skills add https://github.com/netlify/context-and-tools --skill netlify-db in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/netlify-db/ (personal) or .claude/skills/netlify-db/ (project).

Which AI agents can use netlify-db?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is netlify-db safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains netlify-db?

It is published by netlify in netlify/context-and-tools. It has 96 recorded installs.

More from netlify/context-and-tools

View all →

netlify-deploy

netlify/context-and-tools

Create, configure, and manage Netlify deploys from code — reach for this when setting up Git continuous deployment, running netlify deploy or netlify deploy --prod from the CLI, writing netlify.toml deploy contexts, adding a Deploy to Netlify button, wiring build hooks, configuring Deploy Previews or branch deploys, locking or skipping deploys, fixing a failed or secrets-scanning deploy, or when someone asks to "deploy my site", "set up preview deploys", "add per-branch build config", "keep staging out of Google", or "add a deploy button to my README".

DevOps & Cloud3.4K installs

netlify-config

netlify/context-and-tools

Configure Netlify builds and routing via netlify.toml, redirects, and headers. Use when setting a build command or publish directory, adding redirects or rewrites or proxies, adding an SPA fallback rewrite, setting custom response headers or basic auth, managing environment variables and secrets, scoping vars per deploy context, marking a var as secret, disabling secret scanning, configuring functions bundling, ignoring builds, or wiring up a monorepo or JavaScript SPA on Netlify.

DevOps & Cloud3.3K installs

netlify-functions

netlify/context-and-tools

Write, configure, and deploy Netlify serverless functions in TypeScript, JavaScript, or Go. Use this when adding an API endpoint or backend route, adding a contact form handler, wiring auth or Identity signup/login hooks, identifying which Netlify user is calling a private or team-login-protected app, building streaming or AI-proxy responses, scheduling cron jobs, running long background jobs (batch processing/scraping), reacting to deploy or form events, setting up rate limiting or region/memory config, or reading environment variables and secrets inside a function. Covers file locations, the Request/Context/Response handler shape, path routing, config options, and local testing with netlify dev.

DevOps & Cloud3.3K installs

netlify-frameworks

netlify/context-and-tools

Deploy and configure web frameworks on Netlify — build settings and SSR/edge adapters plus local platform emulation and env vars. Use when setting up or fixing a framework deploy (Next.js / Astro / Nuxt / SvelteKit / Remix / React Router / TanStack Start / SolidStart / Gatsby / Angular / Vite / Express / Hydrogen / Hugo / Eleventy / Vue / React), adding SSR or edge functions or middleware wired to Netlify context, fixing SPA redirect and catch-all rules, setting a build command or publish directory, or debugging "why isn't my env var updating" and framework build failures.

DevOps & Cloud3.2K installs

netlify-edge-functions

netlify/context-and-tools

Write, route, cache, and debug Netlify Edge Functions, the Deno-based TypeScript or JavaScript handlers in netlify/edge-functions that run at the network edge in front of static files and serverless functions. Activate this skill whenever someone wants to add auth middleware or a login gate, redirect or rewrite visitors by country or cookie, localize or personalize a page with geolocation, run A/B testing, transform or inject HTML into a response, stream server-side rendering at the edge, or cache an edge response. Also use it when an edge function silently does nothing, runs in the wrong order, ignores its Cache-Control headers, or cannot read an environment variable.

DevOps & Cloud3.1K installs

netlify-forms

netlify/context-and-tools

Serverless form handling on Netlify-hosted sites — detects HTML forms at deploy time, stores submissions, filters spam, and sends notifications. Use when adding a contact form, lead-capture form, file-upload form, or newsletter signup to a Netlify site; wiring AJAX form submission; setting up a custom thank-you page; adding a honeypot or reCAPTCHA to a form; getting forms working in Next.js, Nuxt, SvelteKit, Astro, or Gatsby; reading form submissions via the Netlify API; setting up submission notifications or ChatGPT automations on form submission events; or debugging missing submissions and forms that silently fail to register.

DevOps & Cloud3.1K installs

Popular devops & cloud skills

View category →

microsoft-foundry

microsoft/azure-skills

Build, deploy, evaluate, optimize, fine-tune, and manage Microsoft Foundry agents, models, and resources end to end. USE FOR: foundry, azd ai agent, azd provision/deploy, hosted agent scaffold/develop/run/deploy/troubleshoot, prompt agent create, managed harness agent create, GitHub Copilot harness agent, create agent, update agent, add tool to agent, invoke agent, agent insights, evaluate agent, batch eval, continuous eval, continuous monitoring, agent CI/CD, optimize prompt, improve prompt, optimize agent instructions, Agent Optimizer scaffold, dataset curation from traces, deploy model, model fine-tuning (SFT/DPO/RFT), Foundry project, RBAC, role assignment, permissions, quota, capacity, region, deployment failure, AI Services, create Foundry resource, knowledge index, customize deployment, onboard, availability, training-data, grader, distillation, large file upload. DO NOT USE FOR: Azure Functions, App Service, general Azure deploy (use azure-deploy), general Azure prep (use azure

OfficialDevOps & Cloud579.1K installs

azure-diagnostics

microsoft/azure-skills

Debug Azure production issues on Azure using AppLens, Azure Monitor, resource health, and safe triage. WHEN: debug production issues, troubleshoot app service, app service high CPU, app service deployment failure, troubleshoot container apps, container app 503 or target port mismatch, troubleshoot functions, function telemetry missing or stopped after a config/connection-string change, troubleshoot AKS, VM RDP, Linux SSH, VM black screen, can't connect to VM, reset VM password, NSG or firewall blocking, kubectl cannot connect, kube-system/CoreDNS failures, pod pending, crashloop, node not ready, upgrade failures, analyze logs, KQL, insights, image pull failures, cold start issues, health probe failures, resource health, root cause of errors, troubleshoot event hubs, troubleshoot service bus, messaging SDK error, AMQP connection failure, message lock lost, lock renewal during long-running processing, service bus dead letter.

OfficialDevOps & Cloud569.8K installs

azure-prepare

microsoft/azure-skills

Prepare azd-based Azure projects for deployment: generates azure.yaml, infrastructure (Bicep/Terraform), and Dockerfiles for the Azure Developer CLI (azd) workflow. USE ONLY when the user explicitly wants to use azd as the deployment tool, or the project already has an azure.yaml file. DO NOT USE FOR: non-azd deployments, Python App Service code-only deploys (use python-appservice-deploy), or cross-cloud migration (use azure-cloud-migrate). WHEN: prepare app for azd, create azure.yaml, set up azd infrastructure, modernize app for Azure with azd, deploy with azd, function app, timer trigger, service bus trigger, event-driven function, managed identity, generate Bicep, generate Terraform, create and deploy to Azure.

OfficialDevOps & Cloud569K installs

azure-ai

microsoft/azure-skills

Use for Azure AI: Search, Speech, OpenAI, Document Intelligence. Helps with search, vector/hybrid search, speech-to-text, text-to-speech, transcription, OCR. WHEN: AI Search, query search, vector search, hybrid search, semantic search, speech-to-text, text-to-speech, transcribe, OCR, convert text to speech.

OfficialDevOps & Cloud568.8K installs

azure-deploy

microsoft/azure-skills

Execute Azure deployments for ALREADY-PREPARED applications that have existing .azure/deployment-plan.md and infrastructure files. DO NOT use this skill when the user asks to CREATE a new application — use azure-prepare instead. This skill runs azd up, azd deploy, terraform apply, and az deployment commands with built-in error recovery. Requires .azure/deployment-plan.md from azure-prepare and validated status from azure-validate. WHEN: "run azd up", "run azd deploy", "execute deployment", "push to production", "push to cloud", "go live", "ship it", "bicep deploy", "terraform apply", "publish to Azure", "launch on Azure". DO NOT USE WHEN: "create and deploy", "build and deploy", "create a new app", "set up infrastructure", "create and deploy to Azure using Terraform" — use azure-prepare for these.

OfficialDevOps & Cloud568.6K installs

azure-validate

microsoft/azure-skills

Pre-deployment validation for Azure readiness. Run deep checks on configuration, infrastructure (Bicep or Terraform), RBAC role assignments, managed identity permissions, and prerequisites before deploying. WHEN: validate my app, check deployment readiness, run preflight checks, verify configuration, check if ready to deploy, validate azure.yaml, validate Bicep, test before deploying, troubleshoot deployment errors, validate Azure Functions, validate function app, validate serverless deployment, verify RBAC roles, check role assignments, review managed identity permissions, what-if analysis, validate Container Apps deployment.

OfficialDevOps & Cloud568K installs