Does it include testing and deployment standards?

Yes, it outlines specific testing commands and structures for pytest and React Testing Library, along with environment variable management and deployment checklists.

How does this improve AI-generated code?

By providing Claude with these guidelines, the AI can generate code that follows your specific file structure, naming conventions, and error-handling patterns.

What is the main purpose of this project guidelines skill?

It serves as a structured template to define project-specific rules, helping Claude understand your specific tech stack, coding patterns, and deployment workflows.

What tech stack is featured in the example?

The example uses Next.js 15 (App Router), FastAPI (Python), Supabase (PostgreSQL), and Anthropic's Claude API for AI features.

Project Architecture & Coding Guidelines

Name: Project Architecture & Coding Guidelines
Author: Infopibe

byInfopibe

•

学習とドキュメンテーション

Standardizes project architecture, coding patterns, and deployment workflows for full-stack applications.

This skill provides a comprehensive template for defining project-specific guidelines when using Claude Code. It establishes a standardized technical framework—based on Next.js 15, FastAPI, and Supabase—while outlining specific implementation patterns for AI integration, testing, and cloud deployment. By implementing these guidelines, developers can ensure that Claude generates code that strictly adheres to their project's architecture, file structure, and quality standards.

主な機能

01Deployment checklists and Google Cloud Run workflows

021 GitHub stars

03Claude AI tool-calling and structured output patterns

04Standardized API response formats for FastAPI and TypeScript

05Testing requirements for both pytest and React Testing Library

06Comprehensive full-stack project directory structure

ユースケース

01Bootstrapping new full-stack projects with best-practice architecture

02Providing Claude with domain-specific context to improve code generation accuracy

03Standardizing coding patterns and documentation across development teams

主な機能

01Deployment checklists and Google Cloud Run workflows

021 GitHub stars

03Claude AI tool-calling and structured output patterns

04Standardized API response formats for FastAPI and TypeScript

05Testing requirements for both pytest and React Testing Library

06Comprehensive full-stack project directory structure

ユースケース

01Bootstrapping new full-stack projects with best-practice architecture

02Providing Claude with domain-specific context to improve code generation accuracy

03Standardizing coding patterns and documentation across development teams