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Nestjs Best Practices

Community
Kadajett
nestjs-best-practices

NestJS best practices and architecture patterns for building production-ready applications. This skill should be used when writing, reviewing, or refactoring NestJS code to ensure proper patterns for modules, dependency injection, security, and performance.

Overview

PublisherKadajett
Repositoryagent-nestjs-skills
Skill namenestjs-best-practices
Stars
290
Forks
32
Bundled files
42
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 42 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by Kadajett on GitHub. Read the source before you install it.

Installation

Install the Nestjs Best Practices AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/Kadajett/agent-nestjs-skills/tree/main/skills/nestjs-best-practices
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Kadajett/agent-nestjs-skills.git /tmp/agent-nestjs-skills
mkdir -p .claude/skills
cp -r /tmp/agent-nestjs-skills/skills/nestjs-best-practices .claude/skills/nestjs-best-practices
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Nestjs Best Practices in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Nestjs Best Practices on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Nestjs Best Practices is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

NestJS Best Practices

Comprehensive best practices guide for NestJS applications. Contains 40 rules across 10 categories, prioritized by impact to guide automated refactoring and code generation.

When to Apply

Reference these guidelines when:

  • Writing new NestJS modules, controllers, or services
  • Implementing authentication and authorization
  • Reviewing code for architecture and security issues
  • Refactoring existing NestJS codebases
  • Optimizing performance or database queries
  • Building microservices architectures

Rule Categories by Priority

PriorityCategoryImpactPrefix
1ArchitectureCRITICALarch-
2Dependency InjectionCRITICALdi-
3Error HandlingHIGHerror-
4SecurityHIGHsecurity-
5PerformanceHIGHperf-
6TestingMEDIUM-HIGHtest-
7Database & ORMMEDIUM-HIGHdb-
8API DesignMEDIUMapi-
9MicroservicesMEDIUMmicro-
10DevOps & DeploymentLOW-MEDIUMdevops-

Quick Reference

1. Architecture (CRITICAL)

  • arch-avoid-circular-deps - Avoid circular module dependencies
  • arch-feature-modules - Organize by feature, not technical layer
  • arch-module-sharing - Proper module exports/imports, avoid duplicate providers
  • arch-single-responsibility - Focused services over "god services"
  • arch-use-repository-pattern - Abstract database logic for testability
  • arch-use-events - Event-driven architecture for decoupling

2. Dependency Injection (CRITICAL)

  • di-avoid-service-locator - Avoid service locator anti-pattern
  • di-interface-segregation - Interface Segregation Principle (ISP)
  • di-liskov-substitution - Liskov Substitution Principle (LSP)
  • di-prefer-constructor-injection - Constructor over property injection
  • di-scope-awareness - Understand singleton/request/transient scopes
  • di-use-interfaces-tokens - Use injection tokens for interfaces

3. Error Handling (HIGH)

  • error-use-exception-filters - Centralized exception handling
  • error-throw-http-exceptions - Use NestJS HTTP exceptions
  • error-handle-async-errors - Handle async errors properly

4. Security (HIGH)

  • security-auth-jwt - Secure JWT authentication
  • security-validate-all-input - Validate with class-validator
  • security-use-guards - Authentication and authorization guards
  • security-sanitize-output - Prevent XSS attacks
  • security-rate-limiting - Implement rate limiting

5. Performance (HIGH)

  • perf-async-hooks - Proper async lifecycle hooks
  • perf-use-caching - Implement caching strategies
  • perf-optimize-database - Optimize database queries
  • perf-lazy-loading - Lazy load modules for faster startup

6. Testing (MEDIUM-HIGH)

  • test-use-testing-module - Use NestJS testing utilities
  • test-e2e-supertest - E2E testing with Supertest
  • test-mock-external-services - Mock external dependencies

7. Database & ORM (MEDIUM-HIGH)

  • db-use-transactions - Transaction management
  • db-avoid-n-plus-one - Avoid N+1 query problems
  • db-use-migrations - Use migrations for schema changes

8. API Design (MEDIUM)

  • api-use-dto-serialization - DTO and response serialization
  • api-use-interceptors - Cross-cutting concerns
  • api-versioning - API versioning strategies
  • api-use-pipes - Input transformation with pipes

9. Microservices (MEDIUM)

  • micro-use-patterns - Message and event patterns
  • micro-use-health-checks - Health checks for orchestration
  • micro-use-queues - Background job processing

10. DevOps & Deployment (LOW-MEDIUM)

  • devops-use-config-module - Environment configuration
  • devops-use-logging - Structured logging
  • devops-graceful-shutdown - Zero-downtime deployments

How to Use

Read individual rule files for detailed explanations and code examples:

rules/arch-avoid-circular-deps.md
rules/security-validate-all-input.md
rules/_sections.md

Each rule file contains:

  • Brief explanation of why it matters
  • Incorrect code example with explanation
  • Correct code example with explanation
  • Additional context and references

Full Compiled Document

For the complete guide with all rules expanded in a single document, see AGENTS.md in the repository.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Nestjs Best Practices AI skill do?

NestJS best practices and architecture patterns for building production-ready applications. This skill should be used when writing, reviewing, or refactoring NestJS code to ensure proper patterns for modules, dependency injection, security, and performance.

Why use Nestjs Best Practices on TypingMind?

Because you install it once and use it with any model. Nestjs Best Practices is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Nestjs Best Practices in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Kadajett/agent-nestjs-skills/tree/main/skills/nestjs-best-practices. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Nestjs Best Practices?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Nestjs Best Practices?

As many as you like. As long as a model supports skills, you can use Nestjs Best Practices with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Nestjs Best Practices AI skill free?

Yes. It is published on GitHub by Kadajett under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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