/drizzle-orm-patterns
Provides comprehensive Drizzle ORM patterns for schema definition, CRUD operations, relations, queries, transactions, and migrations. Proactively use for any Drizzle ORM development including defining database schemas, writing type-safe queries, implementing relations, managing
$ npx -y skills add giuseppe-trisciuoglio/developer-kit --skill drizzle-orm-patterns --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.
- You can call itInvoke it directly when you want it.
- Slash command
/drizzle-orm-patterns
Context preview
The summary Claude sees to decide when to auto-load this skill.
Provides comprehensive Drizzle ORM patterns for schema definition, CRUD operations, relations, queries, transactions, and migrations. Proactively use for any Drizzle ORM development including defining database schemas, writing type-safe queries, implementing relations, managing
SKILL.md
drizzle-orm-patterns.SKILL.mdname: drizzle-orm-patterns
description: Provides comprehensive Drizzle ORM patterns for schema definition, CRUD operations, relations, queries, transactions, and migrations. Proactively use for any Drizzle ORM development including defining database schemas, writing type-safe queries, implementing relations, managing transactions, and setting up migrations with Drizzle Kit. Supports PostgreSQL, MySQL, SQLite, MSSQL, and CockroachDB.
allowed-tools: Read, Write, Edit, Bash, Grep, Glob
Drizzle ORM Patterns
Overview
Expert guide for building type-safe database applications with Drizzle ORM. Covers schema definition, relations, queries, transactions, and migrations for all supported databases.
When to Use
- Defining database schemas with tables, columns, and constraints
- Creating relations between tables (one-to-one, one-to-many, many-to-many)
- Writing type-safe CRUD queries
- Implementing complex joins and aggregations
- Managing database transactions with rollback
- Setting up migrations with Drizzle Kit
- Working with PostgreSQL, MySQL, SQLite, MSSQL, or CockroachDB
Quick Reference
| Database | Table Function | Import | |----------|---------------|--------| | PostgreSQL | `pgTable()` | `drizzle-orm/pg-core` | | MySQL | `mysqlTable()` | `drizzle-orm/mysql-core` | | SQLite | `sqliteTable()` | `drizzle-orm/sqlite-core` | | MSSQL | `mssqlTable()` | `drizzle-orm/mssql-core` |
| Operation | Method | Example | |-----------|--------|---------| | Insert | `db.insert()` | `db.insert(users).values({...})` | | Select | `db.select()` | `db.select().from(users).where(eq(...))` | | Update | `db.update()` | `db.update(users).set({...}).where(...)` | | Delete | `db.delete()` | `db.delete(users).where(...)` | | Transaction | `db.transaction()` | `db.transaction(async (tx) => {...})` |
Instructions
1. **Identify your database dialect** - Choose PostgreSQL, MySQL, SQLite, MSSQL, or CockroachDB 2. **Define your schema** - Use the appropriate table function (pgTable, mysqlTable, etc.) 3. **Set up relations** - Define relations using `relations()` or `defineRelations()` 4. **Initialize the database client** - Create your Drizzle client with proper credentials 5. **Write queries** - Use the query builder for type-safe CRUD operations 6. **Handle transactions** - Wrap multi-step operations in transactions when needed 7. **Set up migrations** - Configure Drizzle Kit for schema management
Examples
Example 1: Basic Schema and Query
import { pgTable, serial, text } from 'drizzle-orm/pg-core';
import { drizzle } from 'drizzle-orm/node-postgres';
import { eq } from 'drizzle-orm';
export const users = pgTable('users', {
id: serial('id').primaryKey(),
name: text('name').notNull(),
email: text('email').notNull().unique(),
});
const db = drizzle(process.env.DATABASE_URL);
const [user] = await db.select().from(users).where(eq(users.id, 1));Example 2: CRUD Operations
import { eq } from 'drizzle-orm';
// Insert
const [newUser] = await db.insert(users).values({
name: 'John',
email: 'john@example.com',
}).returning();
// Update
await db.update(users)
.set({ name: 'John Updated' })
.where(eq(users.id, 1));
// Delete
await db.delete(users).where(eq(users.id, 1));Example 3: Transaction with Rollback
await db.transaction(async (tx) => {
const [from] = await tx.select().from(accounts)
.where(eq(accounts.userId, fromId));
if (from.balance < amount) {
tx.rollback();
}
await tx.update(accounts)
.set({ balance: sql`${accounts.balance} - ${amount}` })
.where(eq(accounts.userId, fromId));
});See [references/transactions.md](references/transactions.md) for advanced transaction patterns.
Best Practices
1. **Type Safety**: Always use TypeScript and leverage `$inferInsert` / `$inferSelect` 2. **Relations**: Define relations using the relations() API for nested queries 3. **Transactions**: Use transactions for multi-step operations that must succeed together 4. **Migrations**: Use `generate` + `migrate` in production, `push` for development 5. **Indexes**: Add indexes on frequently queried columns and foreign keys 6. **Soft Deletes**: Use `deletedAt` timestamp instead of hard deletes when possible 7. **Pagination**: Use cursor-based pagination for large datasets 8. **Query Optimization**: Use `.limit()` and `.where()` to fetch only needed data
Constraints and Warnings
- **Foreign Key Constraints**: Always define references using arrow functions `() => table.column` to avoid circular dependency issues
- **Transaction Rollback**: Calling `tx.rollback()` throws an exception - use try/catch if needed
- **Returning Clauses**: Not all databases support `.returning()` - check your dialect compatibility
- **Batch Operations**: Large batch inserts may hit database limits - chunk into smaller batches
- **Migrations in Production**: Always test migrations in staging before applying to production
References
Core Concepts
- **[references/schema-definition.md](references/schema-definition.md)** - Complete schema definition for all databases (PostgreSQL, MySQL, SQLite), column types, indexes, and constraints
- **[references/relations.md](references/relations.md)** - One-to-one, one-to-many, many-to-many relations with v1 and v2 syntax
- **[references/queries-joins-aggregations.md](references/queries-joins-aggregations.md)** - CRUD operations, query operators, joins, aggregations, and pagination
Advanced Topics
- **[references/transactions.md](references/transactions.md)** - Transaction patterns, rollback handling, nested transactions
- **[references/migrations.md](references/migrations.md)** - Drizzle Kit configuration, CLI commands, migration workflow
- **[references/common-patterns.md](references/common-patterns.md)** - Soft delete, upsert, batch operations, full-text search, audit trails
Read more
name: drizzle-orm-patterns description: Provides comprehensive Drizzle ORM patterns for schema definition, CRUD operations, relations, queries, transactions, and migrations. Proactively use for any Drizzle ORM development including defining database schemas, writing type-safe queries, implementing relations, managing transactions, and setting up migrations with Drizzle Kit. Supports PostgreSQL, MySQL, SQLite, MSSQL, and CockroachDB. allowed-tools: Read, Write, Edit, Bash, Grep, Glob
Drizzle ORM Patterns
Overview
Expert guide for building type-safe database applications with Drizzle ORM. Covers schema definition, relations, queries, transactions, and migrations for all supported databases.
When to Use
- Defining database schemas with tables, columns, and constraints
- Creating relations between tables (one-to-one, one-to-many, many-to-many)
- Writing type-safe CRUD queries
- Implementing complex joins and aggregations
- Managing database transactions with rollback
- Setting up migrations with Drizzle Kit
- Working with PostgreSQL, MySQL, SQLite, MSSQL, or CockroachDB
Quick Reference
| Database | Table Function | Import | |----------|---------------|--------| | PostgreSQL | `pgTable()` | `drizzle-orm/pg-core` | | MySQL | `mysqlTable()` | `drizzle-orm/mysql-core` | | SQLite | `sqliteTable()` | `drizzle-orm/sqlite-core` | | MSSQL | `mssqlTable()` | `drizzle-orm/mssql-core` |
| Operation | Method | Example | |-----------|--------|---------| | Insert | `db.insert()` | `db.insert(users).values({...})` | | Select | `db.select()` | `db.select().from(users).where(eq(...))` | | Update | `db.update()` | `db.update(users).set({...}).where(...)` | | Delete | `db.delete()` | `db.delete(users).where(...)` | | Transaction | `db.transaction()` | `db.transaction(async (tx) => {...})` |
Instructions
1. **Identify your database dialect** - Choose PostgreSQL, MySQL, SQLite, MSSQL, or CockroachDB 2. **Define your schema** - Use the appropriate table function (pgTable, mysqlTable, etc.) 3. **Set up relations** - Define relations using `relations()` or `defineRelations()` 4. **Initialize the database client** - Create your Drizzle client with proper credentials 5. **Write queries** - Use the query builder for type-safe CRUD operations 6. **Handle transactions** - Wrap multi-step operations in transactions when needed 7. **Set up migrations** - Configure Drizzle Kit for schema management
Examples
Example 1: Basic Schema and Query
import { pgTable, serial, text } from 'drizzle-orm/pg-core';
import { drizzle } from 'drizzle-orm/node-postgres';
import { eq } from 'drizzle-orm';
export const users = pgTable('users', {
id: serial('id').primaryKey(),
name: text('name').notNull(),
email: text('email').notNull().unique(),
});
const db = drizzle(process.env.DATABASE_URL);
const [user] = await db.select().from(users).where(eq(users.id, 1));Example 2: CRUD Operations
import { eq } from 'drizzle-orm';
// Insert
const [newUser] = await db.insert(users).values({
name: 'John',
email: 'john@example.com',
}).returning();
// Update
await db.update(users)
.set({ name: 'John Updated' })
.where(eq(users.id, 1));
// Delete
await db.delete(users).where(eq(users.id, 1));Example 3: Transaction with Rollback
await db.transaction(async (tx) => {
const [from] = await tx.select().from(accounts)
.where(eq(accounts.userId, fromId));
if (from.balance < amount) {
tx.rollback();
}
await tx.update(accounts)
.set({ balance: sql`${accounts.balance} - ${amount}` })
.where(eq(accounts.userId, fromId));
});See [references/transactions.md](references/transactions.md) for advanced transaction patterns.
Best Practices
1. **Type Safety**: Always use TypeScript and leverage `$inferInsert` / `$inferSelect` 2. **Relations**: Define relations using the relations() API for nested queries 3. **Transactions**: Use transactions for multi-step operations that must succeed together 4. **Migrations**: Use `generate` + `migrate` in production, `push` for development 5. **Indexes**: Add indexes on frequently queried columns and foreign keys 6. **Soft Deletes**: Use `deletedAt` timestamp instead of hard deletes when possible 7. **Pagination**: Use cursor-based pagination for large datasets 8. **Query Optimization**: Use `.limit()` and `.where()` to fetch only needed data
Constraints and Warnings
- **Foreign Key Constraints**: Always define references using arrow functions `() => table.column` to avoid circular dependency issues
- **Transaction Rollback**: Calling `tx.rollback()` throws an exception - use try/catch if needed
- **Returning Clauses**: Not all databases support `.returning()` - check your dialect compatibility
- **Batch Operations**: Large batch inserts may hit database limits - chunk into smaller batches
- **Migrations in Production**: Always test migrations in staging before applying to production
References
Core Concepts
- **[references/schema-definition.md](references/schema-definition.md)** - Complete schema definition for all databases (PostgreSQL, MySQL, SQLite), column types, indexes, and constraints
- **[references/relations.md](references/relations.md)** - One-to-one, one-to-many, many-to-many relations with v1 and v2 syntax
- **[references/queries-joins-aggregations.md](references/queries-joins-aggregations.md)** - CRUD operations, query operators, joins, aggregations, and pagination
Advanced Topics
- **[references/transactions.md](references/transactions.md)** - Transaction patterns, rollback handling, nested transactions
- **[references/migrations.md](references/migrations.md)** - Drizzle Kit configuration, CLI commands, migration workflow
- **[references/common-patterns.md](references/common-patterns.md)** - Soft delete, upsert, batch operations, full-text search, audit trails
Modular plugin marketplace for Claude Code and agentic CLIs, with validated, spec-driven skills, agents, commands, and workflows for Java, TypeScript, Python, PHP, AWS, and AI.
Repo: giuseppe-trisciuoglio/developer-kit
Other skills on developer-kit.
- /chunking-strategy
Provides chunking strategies for RAG systems. Generates chunk size recommendations (256-1024 tokens), overlap percentages (10-20%), and semantic boundary detection methods. Validates semantic coherence and evaluates retrieval precision/recall metrics. Use when building
Open skill - /prompt-engineering
Provides workflows to write, debug, and optimize prompts for LLMs, including few-shot example selection, chain-of-thought structuring, system prompt design, and template composition. Use when the user asks to write or improve a prompt, wants help with few-shot examples,
Open skill - /rag
Implements document chunking, embedding generation, vector storage, and retrieval pipelines for Retrieval-Augmented Generation systems. Use when building RAG applications, creating document Q&A systems, or integrating AI with knowledge bases.
Open skill - /aws-cloudformation-auto-scaling
Provides AWS CloudFormation patterns for Auto Scaling including EC2, ECS, and Lambda. Use when creating Auto Scaling groups, launch configurations, launch templates, scaling policies, lifecycle hooks, and predictive scaling. Covers template structure with Parameters, Outputs,
Open skill - /aws-cloudformation-bedrock
Provides AWS CloudFormation patterns for Amazon Bedrock resources including agents, knowledge bases, data sources, guardrails, prompts, flows, and inference profiles. Use when creating Bedrock agents with action groups, implementing RAG with knowledge bases, configuring vector
Open skill - /aws-cloudformation-cloudfront
Provides AWS CloudFormation patterns for CloudFront distributions, origins (ALB, S3, Lambda@Edge, VPC Origins), CacheBehaviors, Functions, SecurityHeaders, parameters, Outputs and cross-stack references. Use when creating CloudFront distributions with CloudFormation, configuring
Open skill

