app-builder

Orchestrate full-stack application creation from natural language requests.

Updated Jan 20, 2026
One-click install
npx skills add https://github.com/yunaamelia/mcp-agent-memory-pro --skill app-builder-yunaamelia
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: app-builder
Source: https://github.com/yunaamelia/mcp-agent-memory-pro/tree/main/.agent/skills/app-builder
Command: npx skills add https://github.com/yunaamelia/mcp-agent-memory-pro --skill app-builder-yunaamelia

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill automates the complex process of building full-stack applications from simple natural language requests, streamlining development and reducing the need for manual setup and configuration.

Core Features & Use Cases

  • Project Scaffolding: Generates project structure and core files based on a wide variety of templates (e.g., Next.js, React Native, Electron).
  • Tech Stack Determination: Analyzes requests to select appropriate technologies and frameworks.
  • Agent Coordination: Orchestrates specialized AI agents (like frontend, backend, database specialists) to build the application collaboratively.
  • Use Case: You can ask it to "Create a full-stack e-commerce application using Next.js and Prisma," and it will handle the setup, structure, and initial agent coordination.

Quick Start

Ask the app-builder skill to create a new Next.js full-stack application.

Frequently Asked Questions about app-builder

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate a full-stack app from a natural language request?

You can generate a full-stack app by providing a natural language prompt, which triggers automated project scaffolding, tech stack selection, and AI agent coordination to produce the initial application structure. It analyzes your request to determine the project type and orchestrates specialized agents to build features collaboratively.

Can I scaffold a Next.js project with Prisma using natural language text?

Yes, you can scaffold a Next.js project with Prisma by asking the system to create a full-stack application using those specific technologies. The tool determines the appropriate tech stack from your text and utilizes predefined templates to set up the project structure and core files.

How does AI agent coordination work for code generation?

AI agent coordination for code generation works by orchestrating specialized AI agents, such as frontend, backend, and database specialists, to collaboratively build different parts of your application. The system manages an agent pipeline that executes sequential tasks to implement features based on your natural language request.

What templates are available for app development project scaffolding?

Available templates for app development project scaffolding include Next.js, React Native, and Electron. The system selects the appropriate template based on your natural language request to generate the project structure and core files required for your specific application type.

Do I need to manually configure the tech stack for app development?

No, you do not need to manually configure the tech stack for app development. The system analyzes your natural language request to automatically determine the project type and select the appropriate technologies and frameworks required to build the application.

What are the limitations of building full-stack applications from natural language?

Building full-stack applications from natural language relies on predefined templates and documentation for project scaffolding and initial feature implementation. It automates setup and agent coordination but requires specific framework requests like Next.js or Electron, limiting generation to supported tech stacks.