app-builder

Automate full-stack app scaffolding from natural language requests into executable plans.

4|Updated Jan 23, 2026
One-click install
npx skills add https://github.com/marcusagm/Mundam --skill app-builder-marcusagm
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: app-builder
Source: https://github.com/marcusagm/Mundam/tree/main/.agent/skills/app-builder
Command: npx skills add https://github.com/marcusagm/Mundam --skill app-builder-marcusagm

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill automates the end-to-end orchestration of building full-stack applications from natural language prompts, transforming high-level ideas into concrete project plans.

Core Features & Use Cases

  • Project type detection: identify target platform, architecture, and scope from user requests.
  • Tech stack planning: select appropriate frontend, backend, and tooling based on requirements.
  • Scaffolding orchestration: generate initial directory structure, templates, and task plan; coordinates agents to implement the plan.
  • Use Case: Given a user request for a dashboard with authentication, the Skill outlines the plan, selects Next.js + Node, and creates skeleton files and task order.

Quick Start

Start with a natural language request like: "build a full-stack web app with user authentication and dashboards" and let the App Builder orchestrate the project plan and scaffolding steps.

Frequently Asked Questions about app-builder

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

FAQPage Schema
How do I automate full-stack app scaffolding from a natural language prompt?

Automate full-stack app scaffolding by providing a natural language prompt like a dashboard with authentication. The system detects project requirements, selects the tech stack, and generates initial directory structures and task plans.

Can I generate an architecture plan and tech stack selection from a single text request?

Generate architecture plans and tech stack selection from a single text request by processing the prompt to identify target platforms and scope, then selecting appropriate frontend, backend, and tooling for the project.

How does multi-agent coordination work for project planning and execution?

Multi-agent coordination works by generating an initial scaffolding and task plan, then orchestrating multiple agents across frontend, backend, and infrastructure to implement the execution steps in the defined task order.

What do I need to start building full-stack applications from natural language requests?

To start building full-stack applications from natural language requests, you only need a high-level idea of your project scope, such as requiring user authentication or a dashboard, without manual tech stack setup.

Are there limitations to orchestrating app projects from language requests?

Orchestrating app projects from language requests focuses on generating plans, selecting templates, and scaffolding skeleton files. It coordinates initial execution but may require manual intervention for complex, custom business logic implementation.