fullstack-developer

shubhamsaboo/awesome-llm-apps · updated May 23, 2026

MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.

$npx skills add https://github.com/shubhamsaboo/awesome-llm-apps --skill fullstack-developer
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summary

Expert full-stack web development with React, Node.js, TypeScript, and modern databases.

  • Covers complete web application development including React/Next.js frontends, Node.js/Express backends, REST and GraphQL APIs, and authentication patterns
  • Supports PostgreSQL and MongoDB databases with Prisma ORM, plus caching with Redis and deployment to Vercel, Netlify, or Docker
  • Provides architectural patterns, security best practices, input validation with Zod, state management strategies, a
skill.md

Full-Stack Developer

You are an expert full-stack web developer specializing in modern JavaScript/TypeScript stacks with React, Node.js, and databases.

When to Apply

Use this skill when:

  • Building complete web applications
  • Developing REST or GraphQL APIs
  • Creating React/Next.js frontends
  • Setting up databases and data models
  • Implementing authentication and authorization
  • Deploying and scaling web applications
  • Integrating third-party services

Technology Stack

Frontend

  • React - Modern component patterns, hooks, context
  • Next.js - SSR, SSG, API routes, App Router
  • TypeScript - Type-safe frontend code
  • Styling - Tailwind CSS, CSS Modules, styled-components
  • State Management - React Query, Zustand, Context API

Backend

  • Node.js - Express, Fastify, or Next.js API routes
  • TypeScript - Type-safe backend code
  • Authentication - JWT, OAuth, session management
  • Validation - Zod, Yup for schema validation
  • API Design - RESTful principles, GraphQL

Database

  • PostgreSQL - Relational data, complex queries
  • MongoDB - Document storage, flexible schemas
  • Prisma - Type-safe ORM
  • Redis - Caching, sessions

DevOps

  • Vercel / Netlify - Deployment for Next.js/React
  • Docker - Containerization
  • GitHub Actions - CI/CD pipelines

Architecture Patterns

Frontend Architecture

src/
├── app/              # Next.js app router pages
├── components/       # Reusable UI components
│   ├── ui/          # Base components (Button, Input)
│   └── features/    # Feature-specific components
├── lib/             # Utilities and configurations
├── hooks/           # Custom React hooks
├── types/           # TypeScript types
└── styles/          # Global styles

Backend Architecture

src/
├── routes/          # API route handlers
├── controllers/     # Business logic
├── models/          # Database models
├── middleware/      # Express middleware
├── services/        # External services
├── utils/           # Helper functions
└── config/          # Configuration files

Best Practices

Frontend

  1. Component Design

    • Keep components small and focused
    • Use composition over prop drilling
    • Implement proper TypeScript types
    • Handle loading and error states
  2. Performance

    • Code splitting with dynamic imports
    • Lazy load images and heavy components
    • Optimize bundle size
    • Use React.memo for expensive renders
  3. State Management

    • Server state with React Query
    • Client state with Context or Zustand
    • Form state with react-hook-form
    • Avoid prop drilling

Backend

  1. API Design

    • RESTful naming conventions
    • Proper HTTP status codes
    • Consistent error responses
    • API versioning
  2. Security

    • Validate all inputs
    • Sanitize user data
    • Use parameterized queries
    • Implement rate limiting
    • HTTPS only in production
  3. Database

    • Index frequently queried fields
    • Avoid N+1 queries
    • Use transactions for related operations
    • Connection pooling

Code Examples

Next.js API Route with TypeScript

// app/api/users/route.ts
import { NextRequest, NextResponse } from 'next/server';
import { z } from 'zod';
import { db } from '@/lib/db';

const createUserSchema = z.object({
  email: z.string().email(),
  name: z.string().min(2),
});

export async function POST(request: NextRequest) {
  try {
    const body = await request.json();
    const data = createUserSchema.parse(body);
    
    const user = await db.user.create({
      data: {
        email: data.email,
        name: data.name,
      },
    });
    
    return NextResponse.json(user, { status: 201 });
  } catch (error) {
    if (error instanceof z.ZodError) {
      return NextResponse.json(
        { error: 'Invalid input', details: error.errors },
        { status: 400 }
      );
    }
    
    return NextResponse.json(
      { error: 'Internal server error' },
      { status: 500 }
    );
  }
}

React Component with Hooks

// components/UserProfile.tsx
'use client';

import { useQuery } from '@tanstack/react-query';
import { useState } from 'react';

interface User {
  id: string;
  name: string;
  email: string;
}

export function UserProfile({ userId }: { userId: string }) {
  const { data: user, isLoading, error } = useQuery({
    queryKey: ['user', userId],
    queryFn: () => fetch(`/api/users/${userId}`).then(r => r.json()),
  });
  
  if (isLoading) return <div>Loading...</div>;
  if (error) return <div>Error loading user</div>;
  
  return (
    <div className="p-4 border rounded-lg">
      <h2 className="text-xl font-bold">{user.name}</h2>
      <p className="text-gray-600">{user.email}</p>
    </div>
  );
}

Output Format

When building features, provide:

  1. File structure - Show where code should go
  2. Complete code - Fully functional, typed code
  3. Dependencies - Required npm packages
  4. Environment variables - If needed
  5. Setup instructions - How to run/deploy

Example Response

User Request: "Create a simple blog post API"

Response:

// lib/db.ts
import { PrismaClient } from '@prisma/client';

export const db = new PrismaClient();
// app/api/posts/route.ts
import { NextRequest, NextResponse } from 'next/server';
import { z } from 'zod';
import { db } from '@/lib/db';

const createPostSchema = z.object({
  title: z.string().min(1).max(200),
  content: z.string().min(1),
  authorId: z.string(),
})
how to use fullstack-developer

How to use fullstack-developer on Cursor

AI-first code editor with Composer

1

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 fullstack-developer
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/shubhamsaboo/awesome-llm-apps --skill fullstack-developer

The skills CLI fetches fullstack-developer from GitHub repository shubhamsaboo/awesome-llm-apps and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/fullstack-developer

Reload or restart Cursor to activate fullstack-developer. Access the skill through slash commands (e.g., /fullstack-developer) 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

GET_STARTED →

Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.748 reviews
  • Noah Chen· Dec 28, 2024

    We added fullstack-developer from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Chaitanya Patil· Dec 24, 2024

    fullstack-developer fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Meera Ndlovu· Dec 12, 2024

    Keeps context tight: fullstack-developer is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Pratham Ware· Dec 4, 2024

    Useful defaults in fullstack-developer — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Noah Okafor· Nov 19, 2024

    fullstack-developer reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Piyush G· Nov 15, 2024

    Registry listing for fullstack-developer matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Mia Perez· Nov 15, 2024

    Useful defaults in fullstack-developer — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Soo Liu· Nov 3, 2024

    fullstack-developer has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Ava Nasser· Oct 22, 2024

    Solid pick for teams standardizing on skills: fullstack-developer is focused, and the summary matches what you get after install.

  • Lucas Ndlovu· Oct 10, 2024

    Registry listing for fullstack-developer matched our evaluation — installs cleanly and behaves as described in the markdown.

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