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DriveConnect-alpha
DriveConnect-alphaOFFICIAL
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app-builder

Automates multi-agent project creation from natural language requests.

1|1|Updated Apr 25, 2026
Search Tags:#automation#templates#scaffolding#orchestration#project-planning#app-builder#nl-to-app
One-click install
npx skills add https://github.com/DriveConnect-alpha/DriveConnect --skill app-builder-driveconnect-alpha
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: app-builder
Source: https://github.com/DriveConnect-alpha/DriveConnect/tree/main/.agent/skills/app-builder
Command: npx skills add https://github.com/DriveConnect-alpha/DriveConnect --skill app-builder-driveconnect-alpha

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Turns vague natural-language app requests into structured, executable plans by detecting project type, selecting a compatible tech stack, and coordinating specialized agents.

Core Features & Use Cases

  • Detects project type from user input and selects an appropriate scaffold or template.
  • Coordinates multiple agents (frontend, backend, database, devops) to build and validate the plan.
  • Generates actionable task plans and scaffolding instructions ready for implementation.

Quick Start

Create a new app by describing your requirements in natural language and let App Builder generate the plan and coordinate the build.

Frequently Asked Questions about app-builder

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

FAQPage Schema
How do I generate full-stack application scaffolding from natural language?▼

Natural language app generation works by reading your request, detecting the project type, selecting a compatible template, and coordinating specialized agents to produce a structured, executable task plan.

What is the best way to plan and coordinate multi-agent project creation?▼

Multi-agent project creation is planned and coordinated through a generated plan file using checkpoints, orchestrating frontend, backend, database, and deployment specialists to validate and build the application structure.

Can I use natural language to select a tech stack and scaffold a full-stack app?▼

Yes, natural language requests are used to detect the project type and automatically select an appropriate tech stack and scaffold, generating actionable task plans ready for full-stack implementation.

How does project type detection work when building apps from text descriptions?▼

Project type detection works by applying detection rules to your text input, which then triggers the selection of appropriate templates and coordinates specialized agents for the scaffolding process.

Do I need to manually assign frontend and backend tasks when orchestrating apps?▼

No, orchestrating apps does not require manual task assignment; the system automatically coordinates frontend, backend, database, and devops agents through a structured plan file and validation checkpoints.

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