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Generic Fullstack Feature Developer

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travisjneuman
generic-fullstack-feature-developer

Guide feature development for full-stack applications with architecture focus. Covers Next.js App Router patterns, NestJS backend services, database models, data workflows, and seamless integration. Use when adding new features, refactoring existing code, or planning major changes.

Overview

Publishertravisjneuman
Repository.claude
Skill namegeneric-fullstack-feature-developer
Stars
98
Forks
22
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

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

Installation

Install the Generic Fullstack Feature Developer 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.
  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/travisjneuman/.claude.git /tmp/.claude
mkdir -p .claude/skills
cp -r /tmp/.claude/skills/generic-fullstack-feature-developer .claude/skills/generic-fullstack-feature-developer
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Generic Fullstack Feature Developer 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 Generic Fullstack Feature Developer 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 Generic Fullstack Feature Developer 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.

Fullstack Feature Developer

Guide feature development for Next.js/NestJS full-stack applications.

Extends: Generic Feature Developer - Read base skill for development workflow, decision frameworks, data flow patterns, and error handling.

Full-Stack Data Flow

User Action → Event Handler → API Call → NestJS Controller
UI Update ← Response ← Service ← Prisma ← Database

Request/Response Cycle

typescript
// Frontend: Call API
const response = await fetch('/api/users', {
  method: 'POST',
  body: JSON.stringify(userData),
});

// Backend: Handle request
@Post()
@UseGuards(JwtAuthGuard)
async createUser(@Body() dto: CreateUserDto) {
  return this.userService.create(dto);
}

Next.js App Router Patterns

File Conventions

FilePurpose
page.tsxRoute UI (server component by default)
layout.tsxShared UI wrapper
loading.tsxSuspense loading UI
error.tsxError boundary
route.tsAPI endpoint

Server vs Client Components

typescript
// Server Component (default) - can fetch data
export default async function Page() {
  const data = await getData(); // Direct DB/API call
  return <div>{data.title}</div>;
}

// Client Component - needs 'use client'
'use client';
export default function Interactive() {
  const [state, setState] = useState();
  return <button onClick={() => setState(...)}>Click</button>;
}

NestJS Module Pattern

Module → Controller → Service → Prisma

Adding a Feature Module

typescript
// 1. Module definition
@Module({
  controllers: [UsersController],
  providers: [UsersService],
  exports: [UsersService],
})
export class UsersModule {}

// 2. Controller with guards
@Controller("users")
@UseGuards(JwtAuthGuard)
export class UsersController {
  @Post()
  create(@Body() dto: CreateUserDto) {
    return this.usersService.create(dto);
  }
}

// 3. Service with Prisma
@Injectable()
export class UsersService {
  constructor(private prisma: PrismaService) {}

  create(dto: CreateUserDto) {
    return this.prisma.user.create({ data: dto });
  }
}

Prisma Workflow

Schema Changes

bash
# 1. Edit schema.prisma
# 2. Create migration
npx prisma migrate dev --name add_user_role

# 3. Regenerate client
npx prisma generate

# 4. Update services to use new fields

Type-Safe Queries

typescript
// ✓ Type-safe with generated types
const user = await this.prisma.user.findUnique({
  where: { id },
  include: { posts: true },
});

// ✗ Avoid raw SQL
await this.prisma.$queryRaw`SELECT * FROM users`; // No type safety

Authentication Flow

Login Request → Validate Credentials → Generate JWT → Set Cookie
Protected Route → JwtAuthGuard → Extract User → Inject to Controller

Auth Integration Points

typescript
// Frontend: Include credentials
fetch('/api/protected', { credentials: 'include' });

// Backend: Guard + decorator
@UseGuards(JwtAuthGuard)
@Get('profile')
getProfile(@CurrentUser() user: User) {
  return user;
}

Feature Checklist (Fullstack)

Before Starting

  • Plan data model (Prisma schema)
  • Define API contract (DTOs)
  • Identify auth requirements

During Development

  • Create/update Prisma schema
  • Run migrations
  • Implement NestJS module (controller + service)
  • Create frontend components
  • Add loading/error states

Before Completion

  • Add DTO validation decorators
  • Write backend unit tests
  • Write E2E tests for API
  • Verify TypeScript types match

See Also

Frequently asked questions

What does the Generic Fullstack Feature Developer AI skill do?

Guide feature development for full-stack applications with architecture focus. Covers Next.js App Router patterns, NestJS backend services, database models, data workflows, and seamless integration. Use when adding new features, refactoring existing code, or planning major changes.

Why use Generic Fullstack Feature Developer on TypingMind?

Because you install it once and use it with any model. Generic Fullstack Feature Developer 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 Generic Fullstack Feature Developer in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/travisjneuman/.claude/tree/master/skills/generic-fullstack-feature-developer. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Generic Fullstack Feature Developer?

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 Generic Fullstack Feature Developer?

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

Is the Generic Fullstack Feature Developer AI skill free?

Yes. It is published on GitHub by travisjneuman 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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