drizzle-orm-patterns

Expert guide for building type-safe database applications with Drizzle ORM. Covers schema definition, relations, queries, transactions, and migrations for all supported databases.

Works with

Claude CodeCursorClineWindsurfCodexGooseGitHub CopilotZed

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Install Skill

Run in your terminal

$npx skills add https://github.com/giuseppe-trisciuoglio/developer-kit --skill drizzle-orm-patterns

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Installation Guide

How to use drizzle-orm-patterns on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your machine
  • Node.js 16+ with npm — verify with node --version
  • Active project directory where you want to add drizzle-orm-patterns
2

Run the install command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/giuseppe-trisciuoglio/developer-kit --skill drizzle-orm-patterns

Fetches drizzle-orm-patterns from giuseppe-trisciuoglio/developer-kit and configures it for Cursor.

3

Select Cursor when prompted

The CLI shows a list of agents. Use arrow keys and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ────────────────
│ · Cline · Codex · Goose · Windsurf
│ ●Cursor(selected)
│ · Cursor · Aider · Continue
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/drizzle-orm-patterns

Restart Cursor to activate drizzle-orm-patterns. Access via /drizzle-orm-patterns in your agent's command palette.

Security Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.

Documentation

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: '[email protected]',
}).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 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

Advanced Topics

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Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Steps

  1. 1Install product management skill
  2. 2Start with user story generation for known feature
  3. 3Progress to competitive analysis: research 2-3 competitors
  4. 4Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5Draft stakeholder communications and refine based on feedback
  6. 6Build template library for recurring PM tasks
  7. 7Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use when

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid when

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Related Skills

Reviews

4.536 reviews
  • A
    Amelia MehtaDec 12, 2024

    Keeps context tight: drizzle-orm-patterns is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • G
    Ganesh MohaneDec 8, 2024

    drizzle-orm-patterns has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • N
    Neel MalhotraDec 8, 2024

    I recommend drizzle-orm-patterns for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • A
    Advait OkaforDec 4, 2024

    drizzle-orm-patterns is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • R
    Rahul SantraNov 27, 2024

    Keeps context tight: drizzle-orm-patterns is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • N
    Neel ChawlaNov 27, 2024

    Useful defaults in drizzle-orm-patterns — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • C
    Charlotte GhoshNov 3, 2024

    drizzle-orm-patterns has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • C
    Charlotte BhatiaOct 22, 2024

    drizzle-orm-patterns fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • P
    Pratham WareOct 18, 2024

    We added drizzle-orm-patterns from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • N
    Naina LopezOct 18, 2024

    Registry listing for drizzle-orm-patterns matched our evaluation — installs cleanly and behaves as described in the markdown.

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