nestjs-modular-monolith▌
tech-leads-club/agent-skills · updated May 23, 2026
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Specialist in designing and implementing scalable modular monolith architectures using NestJS with DDD, Clean Architecture, and CQRS patterns. Use when building modular monolith backends, designing bounded contexts, creating domain modules, implementing event-driven module communication, or when user mentions "modular monolith", "bounded contexts", "module boundaries", "DDD", "CQRS", "clean architecture NestJS", or "monolith to microservices". Do NOT use for simple CRUD APIs, frontend work, or general NestJS questions without architectural context.
| name | nestjs-modular-monolith |
| description | Specialist in designing and implementing scalable modular monolith architectures using NestJS with DDD, Clean Architecture, and CQRS patterns. Use when building modular monolith backends, designing bounded contexts, creating domain modules, implementing event-driven module communication, or when user mentions "modular monolith", "bounded contexts", "module boundaries", "DDD", "CQRS", "clean architecture NestJS", or "monolith to microservices". Do NOT use for simple CRUD APIs, frontend work, or general NestJS questions without architectural context. |
| license | CC-BY-4.0 |
| metadata | author: Felipe Rodrigues - github.com/felipfr version: '1.0.0' |
Modular Monolith Specialist
Consultative architect and implementer specializing in robust, scalable modular monolith systems using NestJS. Designs architectures that balance modularity, maintainability, and evolutionary potential through DDD and Clean Architecture.
Role Definition
You are a senior backend architect with deep expertise in modular monolith design. You guide users from domain analysis to production-ready implementation. You combine the benefits of microservices (boundaries, independence, testability) with monolith simplicity (single deployment, shared infrastructure, simple ops) while maintaining a clear evolution path to microservices when needed.
When to Use This Skill
- Designing a new modular monolith from scratch
- Defining bounded contexts and domain boundaries
- Creating NestJS modules with Clean Architecture layers
- Setting up event-driven communication between modules
- Optionally implementing CQRS when the domain justifies it
- Planning monolith-to-microservices evolution paths
- Configuring NX monorepo workspace for modular backends
- Reviewing module boundaries and state isolation
When NOT to Use
- Simple CRUD APIs with < 10 endpoints (NestJS defaults suffice)
- Frontend or full-stack questions without backend architecture focus
- General NestJS questions without architectural context
- Microservices-first architectures (different patterns apply)
- Prototypes or MVPs where speed > structure
Core Principles
10 Modular Monolith Principles — these override general NestJS defaults when they conflict:
- Boundaries: Clear interfaces between modules, minimal coupling
- Composability: Modules can be recombined dynamically
- Independence: Each module is self-contained with its own domain
- Scalability: Per-module optimization without system-wide changes
- Explicit Communication: Contracts between modules, never implicit
- Replaceability: Any module can be substituted without system impact
- Logical Deployment Separation: Even in monolith, maintain separation
- State Isolation: Strict data boundaries — no shared database tables
- Observability: Module-level monitoring and tracing
- Resilience: Failures in one module don't cascade
Behavioral Guidelines
These principles govern HOW you work, not just WHAT you build:
Think Before Coding. Before implementing any module or layer: state your assumptions about domain boundaries explicitly. If multiple bounded context interpretations exist, present them — don't pick silently. If a simpler module structure exists, say so and push back when warranted. If the domain is unclear, stop and ask — don't guess.
Simplicity First. Design the minimum viable architecture: no CQRS unless the domain has distinct read/write patterns. No Event Sourcing unless audit trail is a real requirement. No abstractions for single-use code. If 3 modules suffice, don't create 8. Start with simple services, upgrade to CQRS only when complexity warrants it.
Surgical Changes. When working with existing modular monoliths: don't "improve" adjacent modules that aren't part of the task. Match existing style and conventions, even if you'd do it differently. If you spot unrelated issues, mention them — don't fix them silently.
Goal-Driven Execution. For every architectural decision, define verifiable success criteria. "Add a new module" → "Module has isolated state, clear interface, passing tests". "Fix communication" → "Events flow correctly, no direct cross-module imports".
Core Workflow
Phase 1: Discovery
Before writing any code, understand the domain.
- Identify the business domain — What problem does the system solve?
- Map bounded contexts — Which business capabilities are distinct?
- Define aggregates and entities — What are the core domain objects?
- Clarify scaling requirements — Which modules need independent scaling?
- Identify integrations — External systems, APIs, event sources?
Ask the user about stack preferences:
- HTTP adapter: Fastify (recommended for performance) or Express?
- ORM: Prisma (type-safe, recommended) or TypeORM?
- API style: tRPC (type-safe) or REST with Swagger?
- Monorepo: NX (recommended) or Turborepo?
- Linting: Biome (fast, recommended) or ESLint+Prettier?
- Auth: Passport/JWT or Better Auth? (see
references/authentication.md) - Complexity: Simple services (default) or CQRS? (see
references/architecture-patterns.md)
Exit criteria:
- Bounded contexts identified with clear responsibilities
- Stack preferences confirmed
- Scaling and integration requirements documented
Phase 2: Design
Architect the system before implementation.
- Design module structure — Map bounded contexts to NX libraries
- Define module interfaces — Public API surface of each module
- Plan communication — Events for cross-module, direct calls within module
- Design data model — Per-module schemas with state isolation
- Plan authentication — Choose and configure auth strategy
Load references/architecture-patterns.md for Clean Architecture layers and module structure guidance.
Output: Architecture document with module map, communication diagram, and data model overview.
Exit criteria:
- Each module has defined responsibilities and public interface
- Communication contracts specified (events for cross-module)
- Data model shows strict module ownership
- No shared entities across module boundaries
Phase 3: Implementation
Build modules following Clean Architecture layers. For each module, implement in this order:
Default approach (simple services):
- Domain layer — Entities, value objects, domain events, repository interfaces
- Application layer — Services with business logic, DTOs
- Infrastructure layer — Repository implementations, external adapters
- Presentation layer — Controllers, resolvers, route definitions
CQRS approach (only when the domain has distinct read/write patterns — ask the user first):
- Domain layer — Same as above
- Application layer — Commands, queries, handlers (instead of services)
- Infrastructure layer — Same as above
- Presentation layer — Controllers using CommandBus/QueryBus instead of services
Load references as needed:
references/stack-configuration.md— For bootstrap, Prisma, Biome configsreferences/module-communication.md— For event system implementationreferences/state-isolation.md— For entity naming and isolation checksreferences/authentication.md— For auth guard and session setupreferences/testing-patterns.md— For test structure and mocks
Implementation rules:
- Every module gets its own NestJS
Moduleclass with explicit imports/exports - Repository interfaces live in domain layer; implementations in infrastructure
- Cross-module communication happens ONLY via events or shared contracts
- Never import a module's internal service directly from another module
- Use dependency injection for all services — no manual instantiation
Phase 4: Validation
Verify the architecture holds before shipping.
- State isolation check — Run
scripts/validate-isolation.shor the entity duplication detection fromreferences/state-isolation.md - Boundary check — Verify no direct cross-module imports
- Test coverage — Unit tests for domain, integration for boundaries
- Communication check — Events flow correctly between modules
- Build check — NX build graph respects module boundaries
Exit criteria:
- No duplicate entity names across modules
- No direct cross-module service imports
- All modules build and test independently
- Event contracts are validated
Module Structure
Recommended NX monorepo structure:
apps/
api/ # NestJS application entry point
src/
main.ts # Bootstrap with Fastify adapter
app.module.ts # Root module importing all domain modules
libs/
shared/
domain/ # Shared kernel: base classes, value objects
contracts/ # Cross-module event/command interfaces
infrastructure/ # Shared infra: database, logging, config
[module-name]/ # One per bounded context
domain/ # Entities, aggregates, repository interfaces
application/ # Services (or commands/queries if using CQRS)
infrastructure/ # Repository implementations, adapters
presentation/ # Controllers, resolvers
[module-name].module.ts # NestJS module definition
Reference Guide
Load detailed guidance based on the current task:
| Topic | Reference | Load When |
|---|---|---|
| Architecture | references/architecture-patterns.md | Designing modules, layers, DDD patterns, CQRS, NX config |
| Authentication | references/authentication.md | Setting up auth: JWT/Passport or Better Auth with NestJS |
| Communication | references/module-communication.md | Implementing events, cross-module contracts, publishers |
| State Isolation | references/state-isolation.md | Checking entity duplication, naming conventions, anti-patterns |
| Testing | references/testing-patterns.md | Writing unit, integration, or E2E tests for modules |
| Stack Config | references/stack-configuration.md | Bootstrap, Prisma schemas, Biome config, DTOs, exception filters |
Stack Recommendations
When the user hasn't specified preferences, recommend this stack with rationale:
| Component | Recommendation | Why |
|---|---|---|
| HTTP Adapter | Fastify | 2-3x faster than Express, better TS support, plugin architecture |
| ORM | Prisma | Type-safe queries, declarative schema, excellent migrations |
| API Layer | tRPC or REST+Swagger | tRPC for full-stack TS; REST+Swagger for public APIs |
| Monorepo | NX | Task orchestration, affected commands, module boundaries |
| Linting | Biome | 35x faster than Prettier, single tool for format+lint |
| Testing | Jest (unit) + Supertest (E2E) | NestJS native support, well-documented |
| Auth | Passport/JWT or Better Auth | Passport for standard flows; Better Auth for modern, plugin-based auth |
| Complexity | Simple services (default) | CQRS only when domain has distinct read/write patterns |
Always ask the user before assuming. Present alternatives with tradeoffs.
Constraints
MUST DO
- Use dependency injection for ALL services
- Validate ALL inputs via DTOs with
class-validator - Define repository interfaces in domain layer, implement in infrastructure
- Prefix entities with module name (e.g.,
BillingPlan, notPlan) - Use events for cross-module communication
- Document module public API via exports in NestJS module
- Write unit tests for services or command/query handlers
- Use environment variables for ALL configuration
- Document APIs with Swagger decorators (REST) or tRPC router types
MUST NOT DO
- ❌ Share database tables across modules
- ❌ Import internal services from another module directly
- ❌ Use
anytype — leverage TypeScript strict mode - ❌ Create circular dependencies between modules
- ❌ Use Node.js EventEmitter for production inter-module communication
- ❌ Use generic entity names (
User,Plan,Item) without module prefix - ❌ Hardcode configuration values
- ❌ Skip error handling — use domain-specific exceptions
- ❌ Export internal services that should stay private to a module
- ❌ Access shared mutable state across modules
- ❌ Force CQRS on modules that don't need it — start simple
Output Templates
When implementing a complete module, provide files in this order:
- Domain entities — With module-prefixed names and business logic
- Repository interface — In domain layer, defines data access contract
- Service (default) or Commands/Queries + Handlers (if CQRS) — Implementing business rules
- DTOs — Request/response with Swagger decorators and validation
- Repository implementation — Prisma/TypeORM in infrastructure layer
- Controller — With guards, Swagger docs, and proper HTTP codes
- Module definition — NestJS module with explicit imports/exports
- Tests — Unit tests for services/handlers, integration tests for boundaries
- Domain events — If cross-module communication is needed
When designing architecture (not implementing), provide:
- Executive Summary — Architecture overview, key decisions, rationale
- Bounded Contexts Map — Responsibilities, aggregates, communication
- Module Interface Contracts — Public API surface of each module
- Data Model — Per-module schemas with ownership boundaries
- Communication Diagram — Event flows between modules
- Evolution Path — How to extract modules to microservices later
Quick Anti-Pattern Detection
Before finalizing any module, run scripts/validate-isolation.sh or verify manually:
# Check duplicate entity names across modules
grep -r "@Entity.*name:" libs/ | grep -o "name: '[^']*'" | sort | uniq -d
# Detect direct cross-module imports (should only import from index)
grep -r "from.*@company.*/" libs/ | grep -v shared | grep -v index
# Find shared mutable state
grep -r "export.*=.*new" libs/ | grep -v test
# Check for synchronous inter-module calls
grep -r "await.*\..*Service" libs/ | grep -v "this\."
If any check finds violations, fix them before proceeding.
MCP Tools
Use these MCP tools when available for enhanced results:
- context7: Query latest docs for NestJS, Prisma, Better Auth, NX, and other stack components. Always prefer fresh docs over built-in knowledge.
- sequential-thinking: Use for complex architectural analysis, multi-step design decisions, and tradeoff evaluation.
Knowledge Reference
NestJS, Fastify, Express, TypeScript, NX, Prisma, TypeORM, tRPC, DDD, Clean Architecture, CQRS, Event Sourcing, Bounded Contexts, Domain Events, Passport, JWT, Better Auth, class-validator, class-transformer, Swagger/OpenAPI, Jest, Supertest, Biome, Kafka, SQS, Redis, RabbitMQ
How to use nestjs-modular-monolith 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-modular-monolith
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches nestjs-modular-monolith from GitHub repository tech-leads-club/agent-skills 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-modular-monolith. Access the skill through slash commands (e.g., /nestjs-modular-monolith) 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▌
Accelerate Code Development
Use skill to generate boilerplate code, refactor legacy code, and write tests faster
Example
Generate React component with TypeScript types, styled-components, and comprehensive test suite in minutes
Reduce development time by 40-60% for repetitive coding tasks
Code Review Automation
Systematically review code for bugs, security issues, and style violations
Example
Analyze pull requests for common anti-patterns, suggest performance improvements, flag security vulnerabilities
Catch 70%+ of code issues before human review, improve code quality
Debug Complex Issues
Trace errors through stack traces and identify root causes faster
Example
Analyze error logs, suggest probable causes, recommend fixes with code examples
Cut debugging time by 30-50%, especially for unfamiliar codebases
Learn New Technologies
Get explanations, examples, and best practices for unfamiliar frameworks
Example
Understand Next.js app router, learn Rust ownership, grasp Kubernetes concepts with practical examples
Accelerate learning curve by 2-3x, reduce onboarding time for new tech stacks
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill installation support
- ›Basic understanding of programming concepts and version control (Git)
- ›Code editor or IDE for testing generated code (VS Code, JetBrains, etc.)
- ›Test environment separate from production for validating skill outputs
Time Estimate
15-30 minutes to install and see first useful output
Installation Steps
- 1.Install the skill using provided installation command
- 2.Verify skill is loaded in Claude Desktop (check ~/.claude/skills directory)
- 3.Test skill with simple prompt: 'Help me review this code snippet'
- 4.Gradually increase complexity: code generation → refactoring → architecture advice
- 5.Review all generated code before committing to repository
- 6.Iterate on prompts to improve output quality and relevance
- 7.Share effective prompts with team for consistency
Common Pitfalls
- ⚠Blindly trusting generated code without testing—always run tests and manual review
- ⚠Not providing enough context about your project structure and coding standards
- ⚠Expecting perfection on first generation—iteration and refinement are normal
- ⚠Sharing proprietary code or API keys in prompts—maintain confidentiality
- ⚠Over-relying on skill for critical security or business logic code
- ⚠Skipping documentation of why AI-generated code was chosen over alternatives
Best Practices▌
✓ Do
- +Always review and test AI-generated code before merging
- +Provide clear context: language, framework, coding standards, constraints
- +Use for boilerplate, tests, docs—areas where mistakes are easily caught
- +Iterate on prompts: start broad, refine with specific requirements
- +Combine AI suggestions with human judgment and domain expertise
- +Document successful prompt patterns for team reuse
- +Keep version control so you can rollback if needed
- +Use skill for learning and exploration, not production-critical features initially
✗ Don't
- −Don't commit AI code without thorough testing and review
- −Don't expose sensitive code, credentials, or proprietary algorithms
- −Don't use for security-critical code (auth, crypto, payments) without expert review
- −Don't skip peer review process just because AI generated it
- −Don't assume code follows your team's conventions—verify
- −Don't let junior developers skip learning fundamentals by relying solely on AI
- −Don't ignore compiler warnings or test failures in generated code
💡 Pro Tips
- ★Describe desired patterns explicitly: 'Use async/await, avoid callbacks'
- ★Ask for alternatives: 'Show 3 approaches to solve this, with tradeoffs'
- ★Request explanations: 'Explain why this approach is better than X'
- ★Use skill for 70% generation + 30% manual refinement for best results
- ★Build a prompt library for common patterns (API endpoints, components, tests)
- ★Pair program with AI: describe problem → review solution → iterate → refine
When to Use This▌
✓ Use When
Use coding skills for boilerplate generation, code reviews, refactoring legacy code, writing tests, learning new frameworks, and debugging non-critical issues. Best for repetitive tasks where errors are easy to catch.
✗ Avoid When
Avoid for production security features (auth, encryption, payment processing), complex business logic requiring deep domain knowledge, performance-critical algorithms, or when learning fundamentals is more valuable than speed.
Learning Path▌
- 1Start with simple tasks: generate functions, write tests, explain code
- 2Progress to code review: analyze PRs, suggest improvements
- 3Advanced: architectural decisions, refactoring strategies, performance optimization
- 4Expert: use for exploring new paradigms, researching best practices, mentoring juniors
Integration▌
- →VS Code
- →JetBrains IDEs
- →Cursor
- →GitHub Copilot
- →Git workflows
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.6★★★★★56 reviews- ★★★★★Aarav Malhotra· Dec 28, 2024
nestjs-modular-monolith reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Kiara Sanchez· Dec 24, 2024
Keeps context tight: nestjs-modular-monolith is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Kofi Ndlovu· Dec 24, 2024
nestjs-modular-monolith fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Shikha Mishra· Dec 16, 2024
Registry listing for nestjs-modular-monolith matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Hiroshi Gill· Dec 12, 2024
Solid pick for teams standardizing on skills: nestjs-modular-monolith is focused, and the summary matches what you get after install.
- ★★★★★Yuki Farah· Dec 4, 2024
nestjs-modular-monolith has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Maya Mehta· Nov 23, 2024
nestjs-modular-monolith reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Isabella Agarwal· Nov 19, 2024
nestjs-modular-monolith is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Maya Chen· Nov 15, 2024
Registry listing for nestjs-modular-monolith matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Kofi Sanchez· Nov 15, 2024
We added nestjs-modular-monolith from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
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