Can I customize these guidelines for my own project?

Yes, this skill is designed as a template. You can use it as a starting point and modify the rules, tech stack, and file structures to match your specific requirements.

Which technologies are covered in the guidelines?

The template includes Next.js 15 (App Router), FastAPI, Pydantic, Supabase (PostgreSQL), and Anthropic's Claude API.

What testing frameworks are recommended in this skill?

The skill outlines testing requirements for both the backend (using pytest and coverage) and the frontend (using React Testing Library and Playwright).

What is the primary focus of this skill?

It provides a standardized template for project architecture, code patterns, and deployment workflows for full-stack AI applications, documented in Japanese.

How does this help with AI development?

It includes specific code patterns for Claude AI integration, focusing on structured output using Pydantic models and tool-calling.

Japanese Project Guidelines Template

Name: Japanese Project Guidelines Template
Author: oabdelmaksoud

byoabdelmaksoud

0•

Learning & Documentation

Provides a comprehensive architectural and coding guideline template in Japanese for modern AI-integrated full-stack applications.

This skill serves as a localized blueprint for developers building AI-driven platforms using Next.js, FastAPI, and Supabase. It establishes clear, production-grade standards for architecture, file organization, API patterns, and testing protocols. Specifically tailored for Japanese-speaking teams or localized projects, it helps maintain consistency across complex applications that leverage Claude's structured output and tool-calling capabilities. It includes best practices for TDD, CI/CD workflows, and environment management.

Key Features

01Standardized API response and AI integration patterns

02Comprehensive testing requirements for pytest and React Testing Library

03Japanese documentation for project standards and rules

040 GitHub stars

05Standardized deployment workflows for Google Cloud Run and Vercel

06Full-stack architectural blueprint (Next.js, FastAPI, Supabase)

Use Cases

01Standardizing coding patterns across a Japanese-speaking development team

02Bootstrapping a new AI-integrated project with established architectural best practices

03Implementing structured Claude AI tool-calling patterns in a Python backend

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add oabdelmaksoud/superclaw project-guidelines-example

For use in Claude.ai and ChatGPT

Key Features

01Standardized API response and AI integration patterns

02Comprehensive testing requirements for pytest and React Testing Library

03Japanese documentation for project standards and rules

040 GitHub stars

05Standardized deployment workflows for Google Cloud Run and Vercel

06Full-stack architectural blueprint (Next.js, FastAPI, Supabase)

Use Cases

01Standardizing coding patterns across a Japanese-speaking development team

02Bootstrapping a new AI-integrated project with established architectural best practices

03Implementing structured Claude AI tool-calling patterns in a Python backend

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add oabdelmaksoud/superclaw project-guidelines-example

For use in Claude.ai and ChatGPT