What is the benefit of the 3-layer separation pattern?

By separating UI, Hooks, and Services, you ensure that data access logic is isolated from components, making the code easier to test, maintain, and prompt for.

How does this skill improve AI agent performance?

It generates specialized context files like CLAUDE.md and .cursorrules that define strict architectural boundaries, preventing AI agents from making structural errors.

Can I use this on an already established project?

Yes, the skill includes a workflow to analyze existing folders and generate documentation that helps bring order to legacy or disorganized codebases.

What frameworks does the Project Scaffolder skill support?

It is designed primarily for frontend ecosystems including Next.js, React, and Vue, with built-in patterns for Supabase, Firebase, and Prisma.

Project Scaffolder

Name: Project Scaffolder
Author: rungchan2

byrungchan2

Developer Tools

Analyzes and organizes frontend project structures to generate AI-ready architecture documentation and standardized folder patterns.

About

Project Scaffolder is designed to bridge the gap between complex frontend codebases and AI development agents. By implementing a strict 3-layer architecture (Component, Hook, and Service layers), it ensures that your project remains modular, scalable, and easy for AI tools like Claude, Cursor, and Windsurf to understand. The skill automates the creation of architectural specifications and context files, providing a clear roadmap for both human developers and AI assistants to follow consistent coding patterns across Next.js, React, and various backend integrations.

Key Features

Standardized folder templates for Next.js, Supabase, and React ecosystems
Automated 3-layer architecture setup (UI, Hooks, and Data Services)
Centralized documentation for business logic and external API integrations
Generation of AI-optimized context files like CLAUDE.md and .cursorrules
In-depth analysis of existing project structures for refactoring and documentation
0 GitHub stars

Use Cases

Refactoring existing codebases into clean, layered structures to reduce technical debt
Bootstrapping new frontend projects with production-grade architectural standards
Onboarding team members and AI agents by providing a 'Single Source of Truth' for project rules

About

Key Features

Standardized folder templates for Next.js, Supabase, and React ecosystems
Automated 3-layer architecture setup (UI, Hooks, and Data Services)
Centralized documentation for business logic and external API integrations
Generation of AI-optimized context files like CLAUDE.md and .cursorrules
In-depth analysis of existing project structures for refactoring and documentation
0 GitHub stars

Use Cases

Refactoring existing codebases into clean, layered structures to reduce technical debt
Bootstrapping new frontend projects with production-grade architectural standards
Onboarding team members and AI agents by providing a 'Single Source of Truth' for project rules