Project Guidelines Skill (Example)

Provide project-specific development guidelines for Next.js, FastAPI, Supabase, and Google Cloud Run.

3|Updated Feb 8, 2026
One-click install
npx skills add https://github.com/Nixdorfer/ClaudeCodeTool --skill project-guidelines-skill-example-nixdorfer
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Project Guidelines Skill (Example)
Source: https://github.com/Nixdorfer/ClaudeCodeTool/tree/main/plugins/cache/everything-claude-code/everything-claude-code/1.4.1/.cursor/skills/project-guidelines-example
Command: npx skills add https://github.com/Nixdorfer/ClaudeCodeTool --skill project-guidelines-skill-example-nixdorfer

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides a centralized, easily accessible reference for project-specific development guidelines, ensuring consistency and adherence to best practices across the team.

Core Features & Use Cases

  • Architecture Overview: Understand the project's tech stack and service interactions.
  • File Structure: Navigate and organize project files effectively.
  • Code Patterns: Implement consistent API response formats, frontend API calls, AI integrations, and custom hooks.
  • Testing Requirements: Follow established backend (pytest) and frontend (React Testing Library) testing methodologies.
  • Deployment Workflow: Streamline the deployment process with pre-deployment checklists and commands.
  • Use Case: A new developer joins the project and needs to understand the recommended way to structure API responses and handle frontend data fetching. They can consult this Skill for clear examples and guidelines.

Quick Start

Refer to this skill for project architecture and code pattern examples.

Frequently Asked Questions about Project Guidelines Skill (Example)

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

FAQPage Schema
How do I structure API responses and frontend data fetching for Next.js and FastAPI?

To structure API responses and frontend data fetching, implement consistent code patterns for backend FastAPI endpoints and frontend Next.js API calls. This ensures standardized data handling and seamless integration across your tech stack.

What are the testing requirements for Python backend and React frontend applications?

Testing requirements mandate using pytest for backend Python validation and React Testing Library for frontend component testing. Following these established methodologies ensures robust test coverage and adheres to strict Test-Driven Development principles.

How do I deploy a Next.js and FastAPI application to Google Cloud Run?

To deploy to Google Cloud Run, follow a structured deployment workflow utilizing specific pre-deployment checklists and commands. This streamlines the release process for your Next.js frontend and FastAPI backend services.

Can I use Supabase as the database with a FastAPI and Next.js tech stack?

Yes, you can use Supabase as the database within a FastAPI and Next.js architecture. The project guidelines outline service interactions to effectively integrate Supabase for data management across frontend and backend components.

What is the recommended file structure for a project using Next.js, FastAPI, and Claude API?

The recommended file structure organizes project files to navigate Next.js, FastAPI, and Claude API integrations effectively. It provides a comprehensive architecture overview to maintain strict coding standards across the repository.

Why do I need project-specific development guidelines for TypeScript and Python?

Project-specific development guidelines are needed to ensure consistency and adherence to best practices across TypeScript and Python codebases. They centralize architecture, code patterns, and deployment workflows for team alignment.