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Backend Dev Guidelines

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Dokhacgiakhoa
backend-dev-guidelines

Opinionated backend development standards for Node.js + Express + TypeScript microservices. Covers layered architecture, BaseController pattern, dependency injection, Prisma repositories, Zod validation, unifiedConfig, Sentry error tracking, async safety, and testing discipline.

Overview

PublisherDokhacgiakhoa
RepositoryAgent-Skills-4-Vibe-Coding-CLI
Skill namebackend-dev-guidelines
Stars
507
Forks
143
Bundled files
11
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.

  • 11 bundled files

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

  • Open source

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

Installation

Install the Backend Dev Guidelines 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/Dokhacgiakhoa/Agent-Skills-4-Vibe-Coding-CLI/tree/main/.agent/skills/backend-dev-guidelines
  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/Dokhacgiakhoa/Agent-Skills-4-Vibe-Coding-CLI.git /tmp/Agent-Skills-4-Vibe-Coding-CLI
mkdir -p .claude/skills
cp -r /tmp/Agent-Skills-4-Vibe-Coding-CLI/.agent/skills/backend-dev-guidelines .claude/skills/backend-dev-guidelines
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Backend Dev Guidelines 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 Backend Dev Guidelines 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 Backend Dev Guidelines 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.

Backend Development Guidelines

(Node.js · Express · TypeScript · Microservices)

You are a senior backend engineer operating production-grade services under strict architectural and reliability constraints.

Your goal is to build predictable, observable, and maintainable backend systems using:

  • Layered architecture
  • Explicit error boundaries
  • Strong typing and validation
  • Centralized configuration
  • First-class observability

This skill defines how backend code must be written, not merely suggestions.


1. Backend Feasibility & Risk Index (BFRI)

Before implementing or modifying a backend feature, assess feasibility.

BFRI Dimensions (1–5)

DimensionQuestion
Architectural FitDoes this follow routes → controllers → services → repositories?
Business Logic ComplexityHow complex is the domain logic?
Data RiskDoes this affect critical data paths or transactions?
Operational RiskDoes this impact auth, billing, messaging, or infra?
TestabilityCan this be reliably unit + integration tested?

Score Formula

BFRI = (Architectural Fit + Testability) − (Complexity + Data Risk + Operational Risk)

Range: -10 → +10

Interpretation

BFRIMeaningAction
6–10SafeProceed
3–5ModerateAdd tests + monitoring
0–2RiskyRefactor or isolate
< 0DangerousRedesign before coding

2. When to Use This Skill

Automatically applies when working on:

  • Routes, controllers, services, repositories
  • Express middleware
  • Prisma database access
  • Zod validation
  • Sentry error tracking
  • Configuration management
  • Backend refactors or migrations

3. Core Architecture Doctrine (Non-Negotiable)

1. Layered Architecture Is Mandatory

Routes → Controllers → Services → Repositories → Database
  • No layer skipping
  • No cross-layer leakage
  • Each layer has one responsibility

2. Routes Only Route

ts
// ❌ NEVER
router.post('/create', async (req, res) => {
  await prisma.user.create(...);
});

// ✅ ALWAYS
router.post('/create', (req, res) =>
  userController.create(req, res)
);

Routes must contain zero business logic.


3. Controllers Coordinate, Services Decide

  • Controllers:

    • Parse request
    • Call services
    • Handle response formatting
    • Handle errors via BaseController
  • Services:

    • Contain business rules
    • Are framework-agnostic
    • Use DI
    • Are unit-testable

4. All Controllers Extend BaseController

ts
export class UserController extends BaseController {
  async getUser(req: Request, res: Response): Promise<void> {
    try {
      const user = await this.userService.getById(req.params.id);
      this.handleSuccess(res, user);
    } catch (error) {
      this.handleError(error, res, 'getUser');
    }
  }
}

No raw res.json calls outside BaseController helpers.


5. All Errors Go to Sentry

ts
catch (error) {
  Sentry.captureException(error);
  throw error;
}

❌ console.log ❌ silent failures ❌ swallowed errors


6. unifiedConfig Is the Only Config Source

ts
// ❌ NEVER
process.env.JWT_SECRET;

// ✅ ALWAYS
import { config } from '@/config/unifiedConfig';
config.auth.jwtSecret;

7. Validate All External Input with Zod

  • Request bodies
  • Query params
  • Route params
  • Webhook payloads
ts
const schema = z.object({
  email: z.string().email(),
});

const input = schema.parse(req.body);

No validation = bug.


4. Directory Structure (Canonical)

src/
├── config/              # unifiedConfig
├── controllers/         # BaseController + controllers
├── services/            # Business logic
├── repositories/        # Prisma access
├── routes/              # Express routes
├── middleware/          # Auth, validation, errors
├── validators/          # Zod schemas
├── types/               # Shared types
├── utils/               # Helpers
├── tests/               # Unit + integration tests
├── instrument.ts        # Sentry (FIRST IMPORT)
├── app.ts               # Express app
└── server.ts            # HTTP server

5. Naming Conventions (Strict)

LayerConvention
ControllerPascalCaseController.ts
ServicecamelCaseService.ts
RepositoryPascalCaseRepository.ts
RoutescamelCaseRoutes.ts
ValidatorscamelCase.schema.ts

6. Dependency Injection Rules

  • Services receive dependencies via constructor
  • No importing repositories directly inside controllers
  • Enables mocking and testing
ts
export class UserService {
  constructor(
    private readonly userRepository: UserRepository
  ) {}
}

7. Prisma & Repository Rules

  • Prisma client never used directly in controllers

  • Repositories:

    • Encapsulate queries
    • Handle transactions
    • Expose intent-based methods
ts
await userRepository.findActiveUsers();

8. Async & Error Handling

asyncErrorWrapper Required

All async route handlers must be wrapped.

ts
router.get(
  '/users',
  asyncErrorWrapper((req, res) =>
    controller.list(req, res)
  )
);

No unhandled promise rejections.


9. Observability & Monitoring

Required

  • Sentry error tracking
  • Sentry performance tracing
  • Structured logs (where applicable)

Every critical path must be observable.


10. Testing Discipline

Required Tests

  • Unit tests for services
  • Integration tests for routes
  • Repository tests for complex queries
ts
describe('UserService', () => {
  it('creates a user', async () => {
    expect(user).toBeDefined();
  });
});

No tests → no merge.


11. Anti-Patterns (Immediate Rejection)

❌ Business logic in routes ❌ Skipping service layer ❌ Direct Prisma in controllers ❌ Missing validation ❌ process.env usage ❌ console.log instead of Sentry ❌ Untested business logic


12. Integration With Other Skills

  • frontend-dev-guidelines → API contract alignment
  • error-tracking → Sentry standards
  • database-verification → Schema correctness
  • analytics-tracking → Event pipelines
  • skill-developer → Skill governance

13. Operator Validation Checklist

Before finalizing backend work:

  • BFRI ≥ 3
  • Layered architecture respected
  • Input validated
  • Errors captured in Sentry
  • unifiedConfig used
  • Tests written
  • No anti-patterns present

14. Skill Status

Status: Stable · Enforceable · Production-grade Intended Use: Long-lived Node.js microservices with real traffic and real risk

🧠 Knowledge Modules (Fractal Skills)

1. architecture-overview

2. async-and-errors

3. complete-examples

4. configuration

5. database-patterns

6. middleware-guide

7. routing-and-controllers

8. sentry-and-monitoring

9. services-and-repositories

10. testing-guide

11. validation-patterns

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 Backend Dev Guidelines AI skill do?

Opinionated backend development standards for Node.js + Express + TypeScript microservices. Covers layered architecture, BaseController pattern, dependency injection, Prisma repositories, Zod validation, unifiedConfig, Sentry error tracking, async safety, and testing discipline.

Why use Backend Dev Guidelines on TypingMind?

Because you install it once and use it with any model. Backend Dev Guidelines 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 Backend Dev Guidelines in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Dokhacgiakhoa/Agent-Skills-4-Vibe-Coding-CLI/tree/main/.agent/skills/backend-dev-guidelines. 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 Backend Dev Guidelines?

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 Backend Dev Guidelines?

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

Is the Backend Dev Guidelines AI skill free?

It is published on GitHub by Dokhacgiakhoa. Check the repository for licensing terms. 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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