app-builder

Plan full-stack project scaffolds from natural-language requests.

1|Updated Dec 19, 2025
One-click install
npx skills add https://github.com/fnsalinas/fnsalinas.github.io --skill app-builder-fnsalinas
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: app-builder
Source: https://github.com/fnsalinas/fnsalinas.github.io/tree/main/.agent/skills/app-builder
Command: npx skills add https://github.com/fnsalinas/fnsalinas.github.io --skill app-builder-fnsalinas

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill translates natural language requests into concrete full-stack project plans, reducing time-to-delivery by auto-generating scaffolds and coordination strategies.

Core Features & Use Cases

  • Automatically detects the target project type and suggested tech stack.
  • Coordinates a team of agents to plan database schemas, API routes, and UI components.
  • Uses templates and scaffolding guidance to accelerate bootstrapping for new projects.

Quick Start

Provide a natural language project request and App Builder will generate a full scaffold and coordination plan.

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 project scaffold from a natural language request?

Full-stack project scaffolding from a natural language request starts by analyzing your input to identify the project type, selecting a default tech stack, and generating a mandatory PLAN.md file with coordinated milestones.

What is the best way to orchestrate agents for database, API, and UI planning?

Orchestrating agents for planning involves coordinating specialized agents that independently generate database schemas, API routes, and UI component structures, enforcing a plan-driven workflow before any code structure is created.

Can I use natural language to plan end-to-end frontend, backend, and data layers?

Natural language can be used to plan end-to-end frontend, backend, and data layers by translating your request into concrete project plans and coordination strategies across all architectural tiers.

Does full-stack scaffolding from natural language require a specific tech stack?

Full-stack scaffolding from natural language does not require a pre-selected tech stack; the process analyzes your input to automatically detect the project type and suggest a default tech stack for you.

What is the purpose of a PLAN.md file in project scaffolding?

A PLAN.md file in project scaffolding enforces a plan-driven workflow by documenting the generated project structure, milestones, and coordination strategies before code generation begins.

How does selective file reading work with a knowledge map during project planning?

Selective file reading via a knowledge map allows the orchestration process to query specific existing project files, ensuring the generated scaffold and plans align with your current codebase context.