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ndhananj
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项目指南技能（示例）

Provide project-specific guidelines for architecture, testing, and deployment workflows.

1|Updated Feb 7, 2026
Search Tags:#testing#architecture#deployment#fastapi#coding standards#next.js#project guidelines
One-click install
npx skills add https://github.com/ndhananj/codex-agent-setup --skill -ndhananj
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: 项目指南技能（示例）
Source: https://github.com/ndhananj/codex-agent-setup/tree/main/docs/zh-CN/skills/project-guidelines-example
Command: npx skills add https://github.com/ndhananj/codex-agent-setup --skill -ndhananj

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides a comprehensive overview of a specific project's architecture, file structure, coding patterns, testing requirements, and deployment workflow, serving as a template for new projects.

Core Features & Use Cases

  • Project Blueprint: Offers a detailed look at a real-world production application's stack and services.
  • Code Standards: Defines API response formats, frontend API call patterns, AI integration examples, and custom React hooks.
  • Testing & Deployment: Outlines testing strategies for backend and frontend, and provides deployment commands and environment variable configurations.
  • Use Case: A new developer joining the Zenith project can use this Skill to quickly understand the project's technical landscape, coding conventions, and how to contribute effectively.

Quick Start

Refer to this skill for project-specific guidelines when working on the Zenith project.

Frequently Asked Questions about 项目指南技能（示例）

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

FAQPage Schema
How do I structure a production application using Next.js and FastAPI?▼

To structure a production application using Next.js and FastAPI, you need to define a clear file structure, establish API response formats, and outline frontend API call patterns to ensure frontend and backend services interact seamlessly.

What is the best way to integrate AI APIs with a React and TypeScript frontend?▼

The best way to integrate AI APIs with a React and TypeScript frontend is by using custom React hooks to manage API calls and state, ensuring type safety and consistent response handling across your application components.

How do I set up testing workflows for a full stack Python and Next.js project?▼

To set up testing workflows for a full stack Python and Next.js project, use pytest for backend Python testing and Playwright for frontend end-to-end testing, covering both API endpoints and user interface interactions.

Can I deploy a FastAPI and Next.js application to Google Cloud Run?▼

Yes, you can deploy a FastAPI and Next.js application to Google Cloud Run by defining specific deployment commands and configuring the necessary environment variables for your production database and AI integration services.

What coding standards should a full stack project follow when using Supabase and TypeScript?▼

Coding standards for a full stack project using Supabase and TypeScript should define strict API response formats, outline frontend API call patterns, and establish custom React hooks to maintain consistency across database interactions and UI components.

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