Add comprehensive Chinese README for PromptIdea MVP v0.1

[Copilot]

Overview

This PR adds a comprehensive Chinese README documentation for the PromptIdea MVP (version 0.1), a TikTok-style streaming platform for sharing AI prompts and generated content.

What's Changed

Replaced the minimal README with a complete 1,337-line Chinese documentation that serves as a full technical blueprint for building the PromptIdea MVP. The README starts with "MVP Generated: PromptIdea v0.1" as requested.

Documentation Includes

📱 Product Specifications

• Core Features: Auth & onboarding, infinite scroll feed, post details with AI sandbox, creator pages, and social interactions
• Mobile-First Design: Complete wireframe descriptions for all 5 key screens (Feed, Detail, Upload, Search, Profile)
• User Experience: 60fps smooth scrolling, dark mode support, offline capabilities

🏗️ Technical Architecture

• System Architecture Diagram: Mermaid syntax diagram showing complete frontend → backend → database → AI service flow
• Tech Stack: React Native (Expo), Node.js + Express, PostgreSQL (Supabase), Firebase Storage, OpenAI API, FFmpeg

💻 Code Implementation

• Backend Structure: Complete Express.js server setup with routes for /auth, /posts, /users, and /generate-clip
• Database Schemas: Full SQL schemas for users, posts, comments, and interactions tables with proper indexing
• Frontend Components: React Native/TypeScript components including FeedScreen, VideoPlayer, DetailScreen, UploadModal, and more
• API Integration: Axios-based API service layer with authentication interceptors and error handling
• AI Services: OpenAI API proxy and FFmpeg video generation service implementations

🚀 Deployment & Operations

• Setup Scripts: Complete package.json files for both frontend and backend, plus Docker Compose configuration
• Deployment Guides: Step-by-step instructions for:
  • Mobile deployment with Expo EAS Build
  • Backend deployment to Vercel
  • Database setup with Supabase
  • Media storage configuration with Firebase
• Environment Configuration: All required environment variables (OPENAI_API_KEY, DATABASE_URL, etc.)

🧪 Testing & Quality

• Unit Tests: Jest test examples for both backend (Express routes) and frontend (React Native components)
• Edge Cases: Handling for API rate limits, offline mode for saved prompts, and video loading failures
• Performance Optimization: Video preloading, image optimization, database indexing, and Redis caching strategies

🔮 Future Extensions

• TensorFlow.js-based recommendation engine
• Monetization features (creator tipping, paid prompts, ads)
• Enhanced social features (DMs, live streaming, notifications)
• Advanced search capabilities (Elasticsearch, semantic search)

Target Audience

This documentation is designed for developers to implement the PromptIdea platform in 1-2 days of focused development work, providing executable code examples and clear deployment paths.

Language

✅ All content is written in Chinese as specified in the requirements.

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Project Status: 🚀 MVP Ready - Documentation complete and ready for implementation!

Original prompt

Prompt for AI Assistant (e.g., Grok or GPT-4o): Generate an MVP for PromptIdea AppYou are an expert full-stack developer and product designer specializing in AI-integrated apps. Build a minimum viable product (MVP) for PromptIdea, a TikTok-like streaming platform for sharing AI prompts. Users scroll short clips of prompt-generated effects (e.g., art, education tools, tech demos), view details with one-click copy, and creators upload series on personal pages. Core goals: Lower AI replication barriers, explore model boundaries, empower idea-only open-sourcing.Key Features for MVP (Prioritize Mobile-First):Auth & Onboarding: Email/social login (Google). Quick setup: Select interests (art/edu/tech) for personalized feed.
Home Feed: Infinite vertical scroll of 15-30s video clips (prompt input→output animations). Tags (#ArtGen), like/save/share buttons. Recommend based on views/likes.
Post Details: Full prompt text (editable/copyable), model info (e.g., "DALL-E 3"), success rating (e.g., 95%). In-app sandbox: Upload input (image/text), generate preview via integrated AI API.
Creator Page: Upload form (prompt + media → auto-generate clip). List of user's posts as themed series. Basic profile: Bio, followers.
Interactions: Comments with "fork" toggle; Global search by tag.

Tech Stack (Fixed for Consistency):Frontend: React Native (Expo for easy build/deploy).
Backend: Node.js + Express, PostgreSQL (Supabase for quick DB/Auth).
Storage: Firebase for media/uploads.
AI Integrations: OpenAI API for prompt execution/sandbox (use your key placeholder); FFmpeg for clip gen.
Other: Redux for state, React Navigation for routing.

Output Structure (Detailed & Actionable):Architecture Diagram: Text-based (Mermaid syntax) showing frontend→backend→DB→AI flow.
Wireframes: Describe 5 key screens in text (e.g., "Feed: Full-screen video with overlay tags, bottom nav: Home/Search/Profile"). Suggest Figma links if possible.
Code Skeletons:Backend: Full Express server setup (routes for /auth, /posts, /generate-clip). Include DB schemas (SQL) and AI proxy endpoint.
Frontend: Key components (FeedScreen.tsx, DetailScreen.tsx, UploadModal.tsx). Include sample API calls (Axios).
Setup Scripts: package.json excerpts, Docker compose for local dev.

Deployment Guide: Step-by-step for Expo (mobile), Vercel (backend). Include env vars (e.g., OPENAI_API_KEY).
Testing & Edge Cases: Unit tests outline (Jest); Handle API rate limits, offline mode for saved prompts.
Extensions for v1.1: Add rec engine (simple TF.js), monetization stubs.

Ensure code is clean, commented, and modular. Focus on UX: Smooth 60fps scrolls, dark mode. Total output: Concise but complete—aim for executable in 1-2 days. If generating code, zip it conceptually.Start with: "MVP Generated: PromptIdea v0.1"

please only write the readme in Chinese

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