Productivity
nestjs-drizzle-crud-generator▌
giuseppe-trisciuoglio/developer-kit · updated Apr 8, 2026
$npx skills add https://github.com/giuseppe-trisciuoglio/developer-kit --skill nestjs-drizzle-crud-generator
summary
Automatically generates complete CRUD modules for NestJS applications using Drizzle ORM. Creates all necessary files following the zaccheroni-monorepo patterns: feature modules, controllers, services, Zod-validated DTOs, Drizzle schemas, and Jest unit tests.
skill.md
NestJS Drizzle CRUD Generator
Overview
Automatically generates complete CRUD modules for NestJS applications using Drizzle ORM. Creates all necessary files following the zaccheroni-monorepo patterns: feature modules, controllers, services, Zod-validated DTOs, Drizzle schemas, and Jest unit tests.
When to Use
- Creating new entity modules with full CRUD endpoints
- Building database-backed features in NestJS
- Generating type-safe DTOs with Zod validation
- Adding services with Drizzle ORM queries
- Creating unit tests with mocked database
Instructions
Step 1: Define Entity Fields
Gather entity definition:
- Entity name (e.g.,
user,product,order) - List of fields with types (see
references/field-types.mdfor supported types) - Required fields vs optional fields with defaults
Step 2: Run the Generator
python scripts/generate_crud.py --feature <name> --fields '<json-array>' --output <path>
Step 3: Verify Generated Files
Check that all expected files were created:
ls -la libs/server/<feature-name>/src/lib/
Expected structure:
controllers/
services/
dto/
schema/
<feature>-feature.module.ts
Step 4: Run TypeScript Compilation
cd libs/server && npx tsc --noEmit
Step 5: Execute Unit Tests
cd libs/server && npm test -- --testPathPattern=<feature-name>
Examples
Generate a User module
python scripts/generate_crud.py \
--feature user \
--fields '[{"name": "name", "type": "string", "required": true}, {"name": "email", "type": "email", "required": true}, {"name": "password", "type": "string", "required": true}]' \
--output ./libs/server
Generate a Product module
python scripts/generate_crud.py \
--feature product \
--fields '[{"name": "title", "type": "string", "required": true}, {"name": "price", "type": "number", "required": true}, {"name": "description", "type": "text", "required": false}, {"name": "inStock", "type": "boolean", "required": false, "default": true}]' \
--output ./libs/server
Generated Structure
libs/server/{feature-name}/
├── src/
│ ├── index.ts
│ └── lib/
│ ├── {feature}-feature.module.ts
│ ├── controllers/
│ │ ├── index.ts
│ │ └── {feature}.controller.ts
│ ├── services/
│ │ ├── index.ts
│ │ ├── {feature}.service.ts
│ │ └── {feature}.service.spec.ts
│ ├── dto/
│ │ ├── index.ts
│ │ └── {feature}.dto.ts
│ └── schema/
│ └── {feature}.table.ts
Features
Module
- Uses
forRootAsyncpattern for lazy configuration - Exports generated service for other modules
- Imports DatabaseModule for feature tables
Controller
- Full CRUD endpoints: POST, GET, PATCH, DELETE
- Query parameter validation for pagination
- Zod validation pipe integration
Service
- Drizzle ORM query methods
- Soft delete support (via
deletedAtcolumn) - Pagination with limit/offset
- Filtering support
- Type-safe return types
DTOs
- Zod schemas for Create and Update
- Query parameter schemas for filtering
- NestJS DTO integration
Tests
- Jest test suite
- Mocked Drizzle database
- Test cases for all CRUD operations
Manual Integration
After generation, integrate into your app module:
// app.module.ts
import { {{FeatureName}}FeatureModule } from '@your-org/server-{{feature}}';
@Module({
imports: [
{{FeatureName}}FeatureModule.forRootAsync({
useFactory: () => ({
defaultPageSize: 10,
maxPageSize: 100,
}),
}),
],
})
export class AppModule {}
Dependencies
Required packages:
@nestjs/common@nestjs/coredrizzle-ormdrizzle-zodzodnestjs-zod
Best Practices
- Verify before commit: Always run
tsc --noEmitand tests before committing generated code - Customize services: Add business logic to generated services after validation
- Database migrations: Create migrations separately for generated Drizzle schemas
- Use generated types: Reference generated types in your application code
- Review DTOs: Adjust Zod validation rules based on your API requirements
Constraints and Warnings
- Soft delete only: Delete operations use soft delete (
deletedAttimestamp). Hard deletes require manual modification - No authentication: Generated code does not include auth guards - add them based on your security requirements
- Basic CRUD only: Complex queries, transactions, or business logic must be implemented manually
- JSON escaping: Use single quotes around the JSON array when passing fields on command line