nestjs
Provides comprehensive NestJS framework patterns with Drizzle ORM integration for building scalable server-side applications. Generates REST/GraphQL APIs, implements authentication guards, creates database schemas, and sets up microservices. Use when building NestJS applications, setting up APIs, implementing authentication, working with databases, or integrating Drizzle ORM.
What this skill does
# NestJS Framework with Drizzle ORM
## Overview
Provides NestJS patterns with Drizzle ORM for building production-ready server-side applications. Covers CRUD modules, JWT authentication, database operations, migrations, testing, microservices, and GraphQL integration.
## When to Use
- Building REST APIs or GraphQL servers with NestJS
- Setting up authentication and authorization with JWT
- Implementing database operations with Drizzle ORM
- Creating microservices with TCP/Redis transport
- Writing unit and integration tests
- Running database migrations with drizzle-kit
## Instructions
1. **Install dependencies**: `npm i drizzle-orm pg && npm i -D drizzle-kit tsx`
2. **Define schema**: Create `src/db/schema.ts` with Drizzle table definitions
3. **Create DatabaseService**: Inject Drizzle client as a NestJS provider
4. **Build CRUD module**: Controller → Service → Repository pattern
5. **Add validation**: Use class-validator DTOs with ValidationPipe
6. **Implement guards**: Create JWT/Roles guards for route protection
7. **Write tests**: Use `@nestjs/testing` with mocked repositories
8. **Run migrations**: `npx drizzle-kit generate` → **Verify SQL** → `npx drizzle-kit migrate`
## Examples
### Complete CRUD Module with Drizzle
```typescript
// src/db/schema.ts
export const users = pgTable('users', {
id: serial('id').primaryKey(),
name: text('name').notNull(),
email: text('email').notNull().unique(),
createdAt: timestamp('created_at').defaultNow(),
});
// src/users/dto/create-user.dto.ts
export class CreateUserDto {
@IsString() @IsNotEmpty() name: string;
@IsEmail() email: string;
}
// src/users/user.repository.ts
@Injectable()
export class UserRepository {
constructor(private db: DatabaseService) {}
async findAll() {
return this.db.database.select().from(users);
}
async create(data: typeof users.$inferInsert) {
return this.db.database.insert(users).values(data).returning();
}
}
// src/users/users.service.ts
@Injectable()
export class UsersService {
constructor(private repo: UserRepository) {}
async create(dto: CreateUserDto) {
return this.repo.create(dto);
}
}
// src/users/users.controller.ts
@Controller('users')
export class UsersController {
constructor(private service: UsersService) {}
@Post()
create(@Body() dto: CreateUserDto) {
return this.service.create(dto);
}
}
// src/users/users.module.ts
@Module({
controllers: [UsersController],
providers: [UsersService, UserRepository, DatabaseService],
exports: [UsersService],
})
export class UsersModule {}
```
### JWT Authentication Guard
```typescript
@Injectable()
export class JwtAuthGuard implements CanActivate {
constructor(private jwtService: JwtService) {}
canActivate(context: ExecutionContext) {
const token = context.switchToHttp().getRequest()
.headers.authorization?.split(' ')[1];
if (!token) return false;
try {
const decoded = this.jwtService.verify(token);
context.switchToHttp().getRequest().user = decoded;
return true;
} catch {
return false;
}
}
}
```
### Database Transactions
```typescript
async transferFunds(fromId: number, toId: number, amount: number) {
return this.db.database.transaction(async (tx) => {
await tx.update(accounts)
.set({ balance: sql`${accounts.balance} - ${amount}` })
.where(eq(accounts.id, fromId));
await tx.update(accounts)
.set({ balance: sql`${accounts.balance} + ${amount}` })
.where(eq(accounts.id, toId));
});
}
```
### Unit Testing with Mocks
```typescript
describe('UsersService', () => {
let service: UsersService;
let repo: jest.Mocked<UserRepository>;
beforeEach(async () => {
const module = await Test.createTestingModule({
providers: [
UsersService,
{ provide: UserRepository, useValue: { findAll: jest.fn(), create: jest.fn() } },
],
}).compile();
service = module.get(UsersService);
repo = module.get(UserRepository);
});
it('should create user', async () => {
const dto = { name: 'John', email: '[email protected]' };
repo.create.mockResolvedValue({ id: 1, ...dto, createdAt: new Date() });
expect(await service.create(dto)).toMatchObject(dto);
});
});
```
## Constraints and Warnings
- **DTOs required**: Always use DTOs with class-validator, never accept raw objects
- **Transactions**: Keep transactions short; avoid nested transactions
- **Guards order**: JWT guard must run before Roles guard
- **Environment variables**: Never hardcode DATABASE_URL or JWT_SECRET
- **Migrations**: Run `drizzle-kit generate` after schema changes before deploying
- **Circular dependencies**: Use `forwardRef()` carefully; prefer module restructuring
## Best Practices
- Validate all inputs with global `ValidationPipe`
- Use transactions for multi-table operations
- Document APIs with OpenAPI/Swagger decorators
## References
Advanced patterns and detailed examples available in:
- `references/reference.md` - Core patterns, guards, interceptors, microservices, GraphQL
- `references/drizzle-reference.md` - Drizzle ORM installation, configuration, queries
- `references/workflow-optimization.md` - Development workflows, parallel execution strategies
Related in Backend & APIs
jfrog
IncludedInteract with the JFrog Platform via the JFrog CLI and REST/GraphQL APIs. Use this skill when the user wants to manage Artifactory repositories, upload or download artifacts, manage builds, configure permissions, manage users and groups, work with access tokens, configure JFrog CLI servers, search artifacts, manage properties, set up replication, manage JFrog Projects, run security audits or scans, look up CVE details, query exposures scan results from JFrog Advanced Security, manage release bundles and lifecycle operations, aggregate or export platform data, or perform any JFrog Platform administration task. Also use when the user mentions jf, jfrog, artifactory, xray, distribution, evidence, apptrust, onemodel, graphql, workers, mission control, curation, advanced security, exposures, or any JFrog product name.
cupynumeric-migration-readiness
IncludedPre-migration readiness assessor for porting NumPy to cuPyNumeric. Use BEFORE substantial porting work begins when the user asks whether code will scale on GPU, whether they should migrate to cuPyNumeric, which NumPy patterns transfer cleanly, what must be refactored before porting, or mentions pre-port assessment, scaling analysis, or refactor planning. Inspect the user's source code, look up NumPy usage, cross-reference the cuPyNumeric API support manifest, and distinguish distributed-scaling-friendly patterns from blockers such as unsupported APIs, scalar synchronization, host round-trips, Python/object-heavy control flow, shape/data-dependent branching, and in-place mutation hazards. Produce a verdict of READY, LIGHT REFACTOR, SIGNIFICANT REFACTOR, or NOT RECOMMENDED, with concrete refactor pointers.
alibabacloud-data-agent-skill
IncludedInvoke Alibaba Cloud Apsara Data Agent for Analytics via CLI to perform natural language-driven data analysis on enterprise databases. Data Agent for Analytics is an intelligent data analysis agent developed by Alibaba Cloud Database team for enterprise users. It automatically completes requirement analysis, data understanding, analysis insights, and report generation based on natural language descriptions. This tool supports: discovering data resources (instances/databases/tables) managed in DMS, initiating query or deep analysis sessions, real-time progress tracking, and retrieving analysis conclusions and generated reports. Use this Skill when users need to query databases, analyze data trends, generate data reports, ask questions in natural language, or mention "Data Agent", "data analysis", "database query", "SQL analysis", "data insights".
token-optimizer
IncludedReduce OpenClaw token usage and API costs through smart model routing, heartbeat optimization, budget tracking, and native 2026.2.15 features (session pruning, bootstrap size limits, cache TTL alignment). Use when token costs are high, API rate limits are being hit, or hosting multiple agents at scale. The 4 executable scripts (context_optimizer, model_router, heartbeat_optimizer, token_tracker) are local-only — no network requests, no subprocess calls, no system modifications. Reference files (PROVIDERS.md, config-patches.json) document optional multi-provider strategies that require external API keys and network access if you choose to use them. See SECURITY.md for full breakdown.
resend-cli
IncludedUse this skill when the task is specifically about operating Resend from an AI agent, terminal session, or CI job via the official resend CLI: installing/authenticating the CLI, sending/listing/updating/cancelling emails, batch sends, domains and DNS, webhooks and local listeners, inbound receiving, contacts, topics, segments, broadcasts, templates, API keys, profiles, or debugging Resend CLI/API failures. Trigger on mentions of Resend CLI, `resend`, `resend doctor`, `resend emails send`, `resend domains`, `resend webhooks listen`, `resend emails receiving`, or agent-friendly terminal automation.
alibabacloud-odps-maxframe-coding
IncludedUse this skill for MaxFrame SDK development and documentation navigation on Alibaba Cloud MaxCompute (ODPS). Helps answer MaxFrame API, concept, official example, and supported pandas API questions; create data processing programs; read/write MaxCompute tables; debug jobs (remote or local); and build custom DPE runtime images. Trigger when users mention MaxFrame, MaxCompute with MaxFrame, ODPS table processing, DPE runtime, MaxFrame docs/examples, DataFrame/Tensor operations, or GPU runtime setup. Works for both English and Chinese queries about Alibaba Cloud data processing with MaxFrame.