Provides comprehensive NestJS best practices including modular architecture, dependency injection scoping, exception filters, DTO validation with class-validator, and Drizzle ORM integration. Use when designing NestJS modules, implementing providers, creating exception filters, validating DTOs, or integrating Drizzle ORM within NestJS applications.
npx skills add https://github.com/giuseppe-trisciuoglio/developer-kit --skill nestjs-best-practices
Grounded in the Official NestJS Documentation, this skill enforces modular architecture, dependency injection scoping, exception filters, DTO validation with class-validator, and Drizzle ORM integration patterns.
Follow strict module encapsulation. Each domain feature should be its own @Module():
forwardRef() only as a last resort for circular dependencies; prefer restructuringSharedModule for cross-cutting concerns (logging, configuration, caching)See references/arch-module-boundaries.md for enforcement rules.
Choose the correct provider scope based on use case:
| Scope | Lifecycle | Use Case |
|-------------|------------------------------|---------------------------------------------|
| DEFAULT | Singleton (shared) | Stateless services, repositories |
| REQUEST | Per-request instance | Request-scoped data (tenant, user context) |
| TRANSIENT | New instance per injection | Stateful utilities, per-consumer caches |
DEFAULT scope — only use REQUEST or TRANSIENT when justifieduseClass, useValue, useFactory, or useExistingSee references/di-provider-scoping.md for enforcement rules.
Understand and respect the NestJS request processing pipeline:
Middleware → Guards → Interceptors (before) → Pipes → Route Handler → Interceptors (after) → Exception Filters
true/false)Standardize error responses across the application:
HttpException for HTTP-specific errorsOrderNotFoundException)ExceptionFilter for consistent error formattingSee references/error-exception-filters.md for enforcement rules.
Enforce input validation at the API boundary:
ValidationPipe globally with transform: true and whitelist: trueclass-validator decoratorsclass-transformer for type coercion (@Type(), @Transform())See references/api-validation-dto.md for enforcement rules.
Integrate Drizzle ORM following NestJS provider conventions:
See references/db-drizzle-patterns.md for enforcement rules.
| Area | Do | Don't |
|--------------------|------------------------------------------|------------------------------------------|
| Modules | One module per domain feature | Dump everything in AppModule |
| DI Scoping | Default to singleton scope | Use REQUEST scope without justification|
| Error Handling | Custom exception filters + domain errors | Bare try/catch with console.log |
| Validation | Global ValidationPipe + DTO decorators | Manual if checks in controllers |
| Database | Repository pattern with injected client | Direct DB queries in controllers |
| Testing | Unit test services, e2e test controllers | Skip tests or test implementation details|
| Configuration | @nestjs/config with typed schemas | Hardcode values or use process.env |
When building a "Product" feature, follow this workflow:
1. Create the module with proper encapsulation:
// product/product.module.ts
@Module({
imports: [DatabaseModule],
controllers: [ProductController],
providers: [ProductService, ProductRepository],
exports: [ProductService], // Only export what others need
})
export class ProductModule {}
2. Create validated DTOs:
// product/dto/create-product.dto.ts
import { IsString, IsNumber, IsPositive, MaxLength } from 'class-validator';
export class CreateProductDto {
@IsString() @MaxLength(255) readonly name: string;
@IsNumber() @IsPositive() readonly price: number;
}
3. Service with error handling:
@Injectable()
export class ProductService {
constructor(private readonly productRepository: ProductRepository) {}
async findById(id: string): Promise<Product> {
const product = await this.productRepository.findById(id);
if (!product) throw new ProductNotFoundException(id);
return product;
}
}
4. Verify module registration:
# Check module is imported in AppModule
grep -r "ProductModule" src/app.module.ts
# Run e2e to confirm exports work
npx jest --testPathPattern="product"
REQUEST-scoped providers cascade to all dependentsforwardRef() — restructure modules to eliminate circular dependenciesValidationPipe — always validate at the API boundary with DTOs@nestjs/config with environment variablesreferences/architecture.md — Deep-dive into NestJS architectural patternsreferences/ — Individual enforcement rules with correct/incorrect examplesassets/templates/ — Starter templates for common NestJS componentsUnified Python interface to 40+ bioinformatics services. Use when querying multiple databases (UniProt, KEGG, ChEMBL, Reactome) in a single workflow with consistent API. Best for cross-database analysis, ID mapping across services. For quick single-database lookups use gget; for sequence/file manipulation use biopython.
Python library for working with geospatial vector data including shapefiles, GeoJSON, and GeoPackage files. Use when working with geographic data for spatial analysis, geometric operations, coordinate transformations, spatial joins, overlay operations, choropleth mapping, or any task involving reading/writing/analyzing vector geographic data. Supports PostGIS databases, interactive maps, and integration with matplotlib/folium/cartopy. Use for tasks like buffer analysis, spatial joins between datasets, dissolving boundaries, clipping data, calculating areas/distances, reprojecting coordinate systems, creating maps, or converting between spatial file formats.
Fast CLI/Python queries to 20+ bioinformatics databases. Use for quick lookups: gene info, BLAST searches, AlphaFold structures, enrichment analysis. Best for interactive exploration, simple queries. For batch processing or advanced BLAST use biopython; for multi-database Python workflows use bioservices.
Direct REST API access to UniProt. Protein searches, FASTA retrieval, ID mapping, Swiss-Prot/TrEMBL. For Python workflows with multiple databases, prefer bioservices (unified interface to 40+ services). Use this for direct HTTP/REST work or UniProt-specific control.
Direct REST API access to UniProt. Protein searches, FASTA retrieval, ID mapping, Swiss-Prot/TrEMBL. For Python workflows with multiple databases, prefer bioservices (unified interface to 40+ services). Use this for direct HTTP/REST work or UniProt-specific control.
BullMQ expert for Redis-backed job queues, background processing, and reliable async execution in Node.js/TypeScript applications. Use when: bullmq, bull queue, redis queue, background job, job queue.
Create custom external web service APIs for Moodle LMS. Use when implementing web services for course management, user tracking, quiz operations, or custom plugin functionality. Covers parameter validation, database operations, error handling, service registration, and Moodle coding standards.
Python library for working with geospatial vector data including shapefiles, GeoJSON, and GeoPackage files. Use when working with geographic data for spatial analysis, geometric operations, coordinate transformations, spatial joins, overlay operations, choropleth mapping, or any task involving reading/writing/analyzing vector geographic data. Supports PostGIS databases, interactive maps, and integration with matplotlib/folium/cartopy. Use for tasks like buffer analysis, spatial joins between datasets, dissolving boundaries, clipping data, calculating areas/distances, reprojecting coordinate systems, creating maps, or converting between spatial file formats.
Take giuseppe-trisciuoglio/nestjs-best-practices from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.
The instructions reference npx.
Without those the skill loads but fails at the first command.