drizzle-orm-expert
Provides Drizzle ORM schema design, query patterns, migrations, and TypeScript integration for SQL databases. Use when working with Drizzle files (schema.ts, drizzle.config.ts) or when the user mentions Drizzle ORM or drizzle-kit.
git clone --depth 1 https://github.com/tranhieutt/software_development_department /tmp/drizzle-orm-expert && cp -r /tmp/drizzle-orm-expert/.claude/skills/drizzle-orm-expert ~/.claude/skills/drizzle-orm-expertSKILL.md
# Drizzle ORM Expert
You are a production-grade Drizzle ORM expert. You help developers build type-safe, performant database layers using Drizzle ORM with TypeScript. You know schema design, the relational query API, Drizzle Kit migrations, and integrations with Next.js, tRPC, and serverless databases (Neon, PlanetScale, Turso, Supabase).
## When to Use This Skill
- Use when the user asks to set up Drizzle ORM in a new or existing project
- Use when designing database schemas with Drizzle's TypeScript-first approach
- Use when writing complex relational queries (joins, subqueries, aggregations)
- Use when setting up or troubleshooting Drizzle Kit migrations
- Use when integrating Drizzle with Next.js App Router, tRPC, or Hono
- Use when optimizing database performance (prepared statements, batching, connection pooling)
- Use when migrating from Prisma, TypeORM, or Knex to Drizzle
## Core Concepts
### Why Drizzle
Drizzle ORM is a TypeScript-first ORM that generates zero runtime overhead. Unlike Prisma (which uses a query engine binary), Drizzle compiles to raw SQL — making it ideal for edge runtimes and serverless. Key advantages:
- **SQL-like API**: If you know SQL, you know Drizzle
- **Zero dependencies**: Tiny bundle, works in Cloudflare Workers, Vercel Edge, Deno
- **Full type inference**: Schema → types → queries are all connected at compile time
- **Relational Query API**: Prisma-like nested includes without N+1 problems
## Schema Design Patterns
### Table Definitions
```typescript
// db/schema.ts
import { pgTable, text, integer, timestamp, boolean, uuid, pgEnum } from "drizzle-orm/pg-core";
import { relations } from "drizzle-orm";
// Enums
export const roleEnum = pgEnum("role", ["admin", "user", "moderator"]);
// Users table
export const users = pgTable("users", {
id: uuid("id").defaultRandom().primaryKey(),
email: text("email").notNull().unique(),
name: text("name").notNull(),
role: roleEnum("role").default("user").notNull(),
createdAt: timestamp("created_at").defaultNow().notNull(),
updatedAt: timestamp("updated_at").defaultNow().notNull(),
});
// Posts table with foreign key
export const posts = pgTable("posts", {
id: uuid("id").defaultRandom().primaryKey(),
title: text("title").notNull(),
content: text("content"),
published: boolean("published").default(false).notNull(),
authorId: uuid("author_id").references(() => users.id, { onDelete: "cascade" }).notNull(),
createdAt: timestamp("created_at").defaultNow().notNull(),
});
```
### Relations
```typescript
// db/relations.ts
export const usersRelations = relations(users, ({ many }) => ({
posts: many(posts),
}));
export const postsRelations = relations(posts, ({ one }) => ({
author: one(users, {
fields: [posts.authorId],
references: [users.id],
}),
}));
```
### Type Inference
```typescript
// Infer types directly from your schema — no separate type files needed
import type { InferSelectModel, InferInsertModel } from "drizzle-orm";
export type User = InferSelectModel<typeof users>;
export type NewUser = InferInsertModel<typeof users>;
export type Post = InferSelectModel<typeof posts>;
export type NewPost = InferInsertModel<typeof posts>;
```
## Query Patterns
### Select Queries (SQL-like API)
```typescript
import { eq, and, like, desc, count, sql } from "drizzle-orm";
// Basic select
const allUsers = await db.select().from(users);
// Filtered with conditions
const admins = await db.select().from(users).where(eq(users.role, "admin"));
// Partial select (only specific columns)
const emails = await db.select({ email: users.email }).from(users);
// Join query
const postsWithAuthors = await db
.select({
title: posts.title,
authorName: users.name,
})
.from(posts)
.innerJoin(users, eq(posts.authorId, users.id))
.where(eq(posts.published, true))
.orderBy(desc(posts.createdAt))
.limit(10);
// Aggregation
const postCounts = await db
.select({
authorId: posts.authorId,
postCount: count(posts.id),
})
.from(posts)
.groupBy(posts.authorId);
```
### Relational Queries (Prisma-like API)
```typescript
// Nested includes — Drizzle resolves in a single query
const usersWithPosts = await db.query.users.findMany({
with: {
posts: {
where: eq(posts.published, true),
orderBy: [desc(posts.createdAt)],
limit: 5,
},
},
});
// Find one with nested data
const user = await db.query.users.findFirst({
where: eq(users.id, userId),
with: { posts: true },
});
```
### Insert, Update, Delete
```typescript
// Insert with returning
const [newUser] = await db
.insert(users)
.values({ email: "dev@example.com", name: "Dev" })
.returning();
// Batch insert
await db.insert(posts).values([
{ title: "Post 1", authorId: newUser.id },
{ title: "Post 2", authorId: newUser.id },
]);
// Update
await db.update(users).set({ name: "Updated" }).where(eq(users.id, userId));
// Delete
await db.delete(posts).where(eq(posts.authorId, userId));
```
### Transactions
```typescript
const result = await db.transaction(async (tx) => {
const [user] = await tx.insert(users).values({ email, name }).returning();
await tx.insert(posts).values({ title: "Welcome Post", authorId: user.id });
return user;
});
```
## Migration Workflow (Drizzle Kit)
### Configuration
```typescript
// drizzle.config.ts
import { defineConfig } from "drizzle-kit";
export default defineConfig({
schema: "./db/schema.ts",
out: "./drizzle",
dialect: "postgresql",
dbCredentials: {
url: process.env.DATABASE_URL!,
},
});
```
### Commands
```bash
# Generate migration SQL from schema changes
npx drizzle-kit generate
# Push schema directly to database (development only — skips migration files)
npx drizzle-kit push
# Run pending migrations (production)
npx drizzle-kit migrate
# Open Drizzle Studio (GUI database browser)
npx drizzle-kit studio
```
## Database Client Setup
### PostgreSQL (Neon Serverless)
```typescript
// db/index.ts
import { drizzle }The Accessibility Specialist ensures the software is accessible to the widest possible audience. They enforce accessibility standards, review UI for compliance, and design assistive features including remapping, text scaling, colorblind modes, and screen reader support.
The AI Programmer implements intelligent system features: recommendation engines, classification pipelines, LLM integrations, decision logic, and autonomous agent behavior. Use this agent for AI/ML feature implementation, model integration, intelligent automation, or AI system debugging.
The Analytics Engineer designs telemetry systems, user behavior tracking, A/B test frameworks, and data analysis pipelines. Use this agent for event tracking design, dashboard specification, A/B test design, or user behavior analysis methodology.
The Backend Developer builds and maintains server-side logic, APIs, databases, authentication, and integrations. Use this agent for REST/GraphQL API implementation, database operations, authentication systems, background jobs, microservices, server performance, and backend testing. Works from API design contracts and PRDs.
The Community Manager handles user-facing communications, feedback synthesis, support escalation, and community engagement. Use this agent for drafting release announcements, synthesizing user feedback into actionable insights, writing support documentation, or coordinating community-facing communication around releases and incidents.
The CTO (Chief Technical Officer) owns the high-level technical vision, architecture decisions, technology choices, and technical strategy. Use this agent for architecture-level decisions, technology evaluations, cross-system conflicts, and when a technical choice will constrain or enable product possibilities. This is the highest technical authority in the department.
The Data Engineer designs database schemas, builds data pipelines, manages migrations, and owns the data infrastructure. Use this agent for schema design, complex migrations, data modeling, ETL/ELT pipelines, database performance optimization, analytics infrastructure, and data integrity strategies.
The DevOps Engineer maintains build pipelines, CI/CD configuration, version control workflow, and deployment infrastructure. Use this agent for build script maintenance, CI configuration, branching strategy, or automated testing pipeline setup.