Use when manage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) with cron-friendly scheduling.
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Expert in Drizzle ORM for TypeScript — schema design, relational queries, migrations, and serverless database integration. Use when building type-safe database layers with Drizzle.
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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).
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:
// 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(),
});
// 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],
}),
}));
// 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>;
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);
// 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 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));
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;
});
// 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!,
},
});
# 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
// db/index.ts
import { drizzle } from "drizzle-orm/neon-http";
import { neon } from "@neondatabase/serverless";
import * as schema from "./schema";
const sql = neon(process.env.DATABASE_URL!);
export const db = drizzle(sql, { schema });
import { drizzle } from "drizzle-orm/libsql";
import { createClient } from "@libsql/client";
import * as schema from "./schema";
const client = createClient({
url: process.env.TURSO_DATABASE_URL!,
authToken: process.env.TURSO_AUTH_TOKEN,
});
export const db = drizzle(client, { schema });
import { drizzle } from "drizzle-orm/planetscale-serverless";
import { Client } from "@planetscale/database";
import * as schema from "./schema";
const client = new Client({ url: process.env.DATABASE_URL! });
export const db = drizzle(client, { schema });
// Prepare once, execute many times
const getUserById = db.query.users
.findFirst({
where: eq(users.id, sql.placeholder("id")),
})
.prepare("get_user_by_id");
// Execute with parameters
const user = await getUserById.execute({ id: "abc-123" });
// Use db.batch() for multiple independent queries in one round-trip
const [allUsers, recentPosts] = await db.batch([
db.select().from(users),
db.select().from(posts).orderBy(desc(posts.createdAt)).limit(10),
]);
import { index, uniqueIndex } from "drizzle-orm/pg-core";
export const posts = pgTable(
"posts",
{
id: uuid("id").defaultRandom().primaryKey(),
title: text("title").notNull(),
authorId: uuid("author_id").references(() => users.id).notNull(),
createdAt: timestamp("created_at").defaultNow().notNull(),
},
(table) => [
index("posts_author_idx").on(table.authorId),
index("posts_created_idx").on(table.createdAt),
]
);
// app/users/page.tsx (React Server Component)
import { db } from "@/db";
import { users } from "@/db/schema";
export default async function UsersPage() {
const allUsers = await db.select().from(users);
return (
<ul>
{allUsers.map((u) => (
<li key={u.id}>{u.name}</li>
))}
</ul>
);
}
// app/actions.ts
"use server";
import { db } from "@/db";
import { users } from "@/db/schema";
export async function createUser(formData: FormData) {
const name = formData.get("name") as string;
const email = formData.get("email") as string;
await db.insert(users).values({ name, email });
}
db/schema.ts or split by domain (db/schema/users.ts, db/schema/posts.ts)InferSelectModel and InferInsertModel for type safety instead of manual interfacesdb.query.*) for nested data to avoid N+1 problemsdrizzle-kit generate + migrate in production (never push){ schema } to drizzle() to enable the relational query APIdrizzle-kit push in production — it can cause data lossrelations() if you want to use db.query.* with withProblem: db.query.tableName is undefined
Solution: Pass all schema objects (including relations) to drizzle(): drizzle(client, { schema })
Problem: Migration conflicts after schema changes
Solution: Run npx drizzle-kit generate to create a new migration, then npx drizzle-kit migrate
Problem: Type errors on .returning() with MySQL
Solution: MySQL does not support RETURNING. Use .execute() and read insertId from the result instead.
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Use when manage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) with cron-friendly scheduling.
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Use when a hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).
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Reference for how BDB structures autonomous software engineering work — the seven-node dispatcher graph (Architect, TechLead, UI/UX, Engineering, Media/EventTech, Reviewer, Shipping) that /startcycle-graph actually runs. Use when you need the high-level lifecycle framing without inventing your own process.
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Tools are how AI agents interact with the world. A well-designed tool is the difference between an agent that works and one that hallucinates, fails silently, or costs 10x more tokens than necessary. This skill covers tool design from schema to error handling.
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Harness patterns for coding agents — memory, permissions, context engineering, delegation, skills, hooks, bootstrap.
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agenttrail: live map of a multi-agent build in the browser: which plan component is being worked on, by which agent or harness, what is done and what is stuck. Use when a multi-agent pipeline starts (/startcycle, /startcycle-graph, /teamwork-preview) or after a plan-canvas approve, when the user asks to see what the agents are doing ("live map", "build board", "who is running now"), or by yourself whenever a multi-agent run is under way — no user prompt needed.
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