Agent Skills: Drizzle ORM Guidelines

Drizzle ORM patterns for type branding and custom types. Use when working with Drizzle column definitions, branded types, or custom type conversions.

UncategorizedID: EpicenterHQ/epicenter/drizzle-orm

Repository

EpicenterHQLicense: AGPL-3.0
4,013273

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pnpm dlx add-skill https://github.com/EpicenterHQ/epicenter/tree/HEAD/.agents/skills/drizzle-orm

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.agents/skills/drizzle-orm/SKILL.md

Skill Metadata

Name
drizzle-orm
Description
'Drizzle ORM patterns: schema definitions, Drizzle Kit migrations, query builders, type branding, custom types, SQLite, Postgres, D1, and Turso/libSQL boundaries. Use when mentioning Drizzle, drizzle-orm, DB schemas, migrations, branded column types, or typed SQL queries.'

Drizzle ORM Guidelines

Reference Repositories

  • Drizzle ORM : TypeScript ORM with SQL-like query builder
  • Turso : Edge-hosted LibSQL database (Epicenter's database)

When to Apply This Skill

Use this pattern when you need to:

  • Define Drizzle schemas, relations, indexes, migrations, or query code.
  • Define Drizzle columns that use branded TypeScript string types.
  • Choose between $type<T>() and customType for column definitions.
  • Configure Drizzle Kit and understand generated migration snapshots.
  • Choose a SQLite-compatible driver boundary: bun:sqlite, better-sqlite3, D1, or libSQL/Turso.
  • Remove identity toDriver/fromDriver conversions that add runtime overhead.
  • Keep data serialized through the storage layer and parse at UI edges.

Schema And Migration Rules

  • Export a single schema object from the app's database module and pass that same object to drizzle(...) and Drizzle Kit config.
  • Keep table definitions, relations, and schema exports explicit. Avoid dynamic schema construction that Drizzle Kit cannot statically inspect.
  • Treat Drizzle Kit snapshots as the diff source of truth. Review generated SQL and snapshot changes together.
  • Pick a casing strategy once per database. Do not mix app-level camelCase with ad hoc SQL aliases unless the boundary owns that mapping.
  • Use drizzle-zod, drizzle-valibot, or a local schema parser at IO boundaries when external input becomes a row. Do not treat inferred insert types as runtime validation.

Query Builder Rules

  • Prefer the typed query builder for application queries. Use raw SQL only for expressions the query builder cannot express cleanly.
  • Keep joins and selected shapes near the caller that owns the response contract.
  • Add indexes in schema beside the query pattern that needs them.

Driver Boundaries

  • bun:sqlite and better-sqlite3 are local synchronous SQLite drivers. Do not use them in Cloudflare Workers.
  • D1 is a Cloudflare binding with Worker-specific behavior. Keep it behind Worker code and generated bindings.
  • libSQL and Turso are SQLite-compatible but have network, sync, and compatibility details that are not generic SQLite. Use the turso skill for those decisions.

Use $type<T>() for Branded Strings, Not customType

When you need a column with a branded TypeScript type but no actual data transformation, use $type<T>() instead of customType.

The Rule

If toDriver and fromDriver would be identity functions (x) => x, use $type<T>() instead.

Why

Even with identity functions, customType still invokes mapFromDriverValue on every row:

// drizzle-orm/src/utils.ts - runs for EVERY column of EVERY row
const rawValue = row[columnIndex]!;
const value = rawValue === null ? null : decoder.mapFromDriverValue(rawValue);

Query 1000 rows with 3 date columns = 3000 function calls doing nothing.

Bad Pattern

// Runtime overhead for identity functions
customType<{ data: DateTimeString; driverParam: DateTimeString }>({
	dataType: () => 'text',
	toDriver: (value) => value, // called on every write
	fromDriver: (value) => value, // called on every read
});

Good Pattern

// Zero runtime overhead - pure type assertion
text().$type<DateTimeString>();

$type<T>() is a compile-time-only type override:

// drizzle-orm/src/column-builder.ts
$type<TType>(): $Type<this, TType> {
  return this as $Type<this, TType>;
}

When to Use customType

Only when data genuinely transforms between app and database:

// JSON: object ↔ string - actual transformation
customType<{ data: UserPrefs; driverParam: string }>({
	toDriver: (value) => JSON.stringify(value),
	fromDriver: (value) => JSON.parse(value),
});

Keep Data in Intermediate Representation

Prefer keeping data serialized (strings) through the system, parsing only at the edges (UI components).

The principle: If data enters serialized and leaves serialized, keep it serialized in the middle. Parse at the edges where you actually need the rich representation.

Example: DateTimeString

Instead of parsing DateTimeString into Temporal.ZonedDateTime at the database layer:

// Bad: parse on every read, re-serialize at API boundaries
customType<{ data: Temporal.ZonedDateTime; driverParam: string }>({
	fromDriver: (value) => fromDateTimeString(value),
});

Keep it as a string until the UI actually needs it:

// Good: string stays string, parse only in date-picker component
text().$type<DateTimeString>();

// In UI component:
const temporal = fromDateTimeString(row.createdAt);
// After edit:
const updated = toDateTimeString(temporal);