nestjs-drizzle-crud-generator▌
giuseppe-trisciuoglio/developer-kit · updated Apr 8, 2026
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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.
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
How to use nestjs-drizzle-crud-generator on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add nestjs-drizzle-crud-generator
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches nestjs-drizzle-crud-generator from GitHub repository giuseppe-trisciuoglio/developer-kit and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate nestjs-drizzle-crud-generator. Access the skill through slash commands (e.g., /nestjs-drizzle-crud-generator) or your agent's skill management interface.
Security & Verification 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 development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
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
Installation Steps
- 1.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 7.Share 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▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.8★★★★★37 reviews- ★★★★★Hiroshi Ghosh· Dec 24, 2024
nestjs-drizzle-crud-generator has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Anaya Mensah· Dec 20, 2024
nestjs-drizzle-crud-generator reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Shikha Mishra· Dec 12, 2024
nestjs-drizzle-crud-generator is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Sakshi Patil· Nov 23, 2024
Keeps context tight: nestjs-drizzle-crud-generator is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Omar Garcia· Nov 15, 2024
Solid pick for teams standardizing on skills: nestjs-drizzle-crud-generator is focused, and the summary matches what you get after install.
- ★★★★★Mia Ramirez· Nov 11, 2024
Registry listing for nestjs-drizzle-crud-generator matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Yash Thakker· Nov 3, 2024
Useful defaults in nestjs-drizzle-crud-generator — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Dhruvi Jain· Oct 22, 2024
Registry listing for nestjs-drizzle-crud-generator matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Chaitanya Patil· Oct 14, 2024
We added nestjs-drizzle-crud-generator from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★William Menon· Oct 6, 2024
I recommend nestjs-drizzle-crud-generator for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
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