Can I use this on an existing project?

Yes, the skill can analyze your current directory structure, suggest improvements, and generate documentation to help AI agents navigate your specific setup.

Which tech stacks are supported?

While generic enough for any frontend framework, it includes optimized patterns for Next.js, React, Supabase, Firebase, Prisma, and TanStack Query.

How does this help with AI code generation?

By creating a 'PROJECT_ARCHITECTURE.md' and updating '.cursorrules', it provides the AI with a roadmap of where files should go and how data should flow, significantly reducing hallucinations.

What is the 3-layer architecture enforced by this skill?

It separates the UI (Component Layer), server state management (Hook Layer), and data access logic (Service Layer) to prevent code entangling and make the codebase more readable for both humans and AI.

Project Scaffolder

Name: Project Scaffolder
Author: rungchan2

byrungchan2

Herramientas para Desarrolladores

Analyzes and organizes frontend architectures to generate optimized context documentation for AI coding agents.

Acerca de

Project Scaffolder is a specialized skill designed to establish high-performance project structures that enhance the capabilities of AI agents like Claude, Cursor, and Windsurf. By implementing a strict 3-layer architecture—separating Components, Hooks, and Services—it ensures a clean separation of concerns and predictable data flow. The skill automatically generates comprehensive architectural specifications and updates AI context files (like CLAUDE.md or .cursorrules), ensuring that your AI assistant understands the codebase deeply, leading to more accurate code generation and reduced architectural debt.

Características Principales

Automated 3-layer architecture setup (Component, Hook, and Service layers)
Standardized folder templates for Next.js, React, and various BaaS providers
Analysis of existing project structures to identify architectural gaps
0 GitHub stars
Optimized AI rule updates for .cursorrules and CLAUDE.md
Generation of PROJECT_ARCHITECTURE.md for deep AI context

Casos de Uso

Creating 'Core Memory' for AI agents to improve their understanding of complex project rules
Initializing new frontend projects with scalable, industry-standard folder structures
Refactoring existing codebases to enforce better separation of concerns and cleaner logic

Acerca de

Características Principales

Automated 3-layer architecture setup (Component, Hook, and Service layers)
Standardized folder templates for Next.js, React, and various BaaS providers
Analysis of existing project structures to identify architectural gaps
0 GitHub stars
Optimized AI rule updates for .cursorrules and CLAUDE.md
Generation of PROJECT_ARCHITECTURE.md for deep AI context

Casos de Uso

Creating 'Core Memory' for AI agents to improve their understanding of complex project rules
Initializing new frontend projects with scalable, industry-standard folder structures
Refactoring existing codebases to enforce better separation of concerns and cleaner logic