# CLAUDE.md

This file provides comprehensive guidance to Claude Code (claude.ai/code) when working with this advanced AI-driven software copyright materials generation system.

## Project Overview & Strategic Vision

This repository contains a **revolutionary AI-driven Software Copyright Application Materials Generation System** - a pioneering platform that democratizes professional intellectual property protection through systematic knowledge engineering and AI-powered automation.

### Core Innovation & Value Proposition

This system represents a **paradigm shift** in software copyright application preparation:

- **Knowledge Systematization**: Transforms expert-level copyright application knowledge into reusable, automated AI instructions
- **Professional Capability Democratization**: Enables developers of all experience levels to generate professional-grade copyright materials
- **Vertical AI Application Pioneer**: First comprehensive application of AI prompt engineering in the software copyright domain
- **Multi-dimensional Standardization**: Systematic standardization across UI design, technical architecture, and documentation formats

### System Architecture & Core Components

The system implements a **three-tier knowledge-driven architecture**:

#### 1. Knowledge Layer (Expert Knowledge Systematization)
- **AI Prompt Engineering Suite**: Eight specialized prompts encoding domain expertise
- **UI Design Knowledge Base**: Twelve comprehensive design systems covering diverse aesthetic paradigms
- **Technical Standards Repository**: Modular technology stack specifications and compliance frameworks
- **Quality Assurance Protocols**: Embedded validation and verification mechanisms

#### 2. Processing Layer (Intelligent Generation Engine)
- **Progressive Construction Pipeline**: Optimized six-stage workflow from conceptualization to delivery (upgraded from previous 8-stage process)
  - 阶段1：项目初始化和系统架构设计
  - 阶段2：产品规划和界面设计
  - 阶段3：前端开发实现
  - 阶段4：后端系统开发
  - 阶段5：软著申请文档生成
  - 阶段6：材料整理和质量验收
- **Multi-modal Content Generation**: Coordinated creation of documentation, code, and visual specifications
- **Context-Aware Customization**: Dynamic adaptation based on project requirements and user preferences
- **Quality Control Integration**: Real-time validation against copyright office standards

#### 3. Delivery Layer (Standardized Output Systems)
- **Professional Documentation Suite**: Technical specifications, user manuals, and compliance documents
- **Complete Source Code Packages**: Full-stack implementations with comprehensive commenting
- **Application Materials Portfolio**: Ready-to-submit copyright registration materials
- **Verification & Testing Tools**: Automated quality assurance and completeness validation

### Advanced System Capabilities

#### Core Technical Innovations
- **Domain-Specific AI Prompt Engineering**: Revolutionary application of systematic prompt engineering to encode expert knowledge in software copyright law and application procedures
- **Intelligent Multi-Modal Generation**: Coordinated creation of technical documentation, source code, UI specifications, and legal compliance materials through AI orchestration
- **Adaptive Quality Assurance**: Dynamic validation mechanisms ensuring generated materials meet evolving copyright office standards and best practices

#### Professional-Grade Output Systems
- **Comprehensive Material Generation**: End-to-end creation of all required copyright application components from minimal user input
- **Differentiated Design Innovation**: Twelve distinct UI design paradigms preventing application homogenization and demonstrating software uniqueness
- **Technical Stack Agnosticism**: Flexible architecture supporting diverse technology combinations while maintaining quality standards
- **Scalable Complexity Management**: Intelligent adjustment of output depth and complexity based on project requirements and user expertise level

#### User Experience & Accessibility
- **Progressive Disclosure Interface**: Guided workflow from 5-minute quick start to comprehensive 6-stage professional process
- **Expert Knowledge Democratization**: Complex legal and technical requirements simplified into intuitive user interactions
- **Flexible Customization Framework**: Balance between automated generation and user control for specialized requirements
- **Cross-Platform Compatibility**: Unified experience across different development environments and operating systems

### Technical Architecture & Design Philosophy

#### Foundational Design Principles

**1. Knowledge Engineering Excellence**
- **Expert Knowledge Codification**: Systematic transformation of domain expertise into executable AI instructions
- **Prompt Engineering Precision**: Each of the eight AI prompts represents hundreds of hours of domain expert knowledge distilled into precise, executable instructions
- **Quality-by-Design**: Built-in quality controls and validation mechanisms rather than post-generation correction

**2. Progressive Value Creation**
- **Incremental Complexity Building**: Each workflow stage builds upon previous outputs, creating compound value
- **Modular Excellence**: Independent component excellence contributing to superior integrated outcomes
- **Adaptive Sophistication**: System intelligence scales with user requirements and project complexity

**3. User-Centric Innovation**
- **Cognitive Load Minimization**: Complex professional processes simplified without compromising output quality
- **Multiple Engagement Modes**: From rapid prototyping to comprehensive professional development
- **Expertise Amplification**: System enhances rather than replaces human creativity and domain knowledge

#### Core Technology Framework

**AI Orchestration Layer**
- Advanced prompt engineering with embedded quality controls and domain-specific validation
- Multi-modal content coordination ensuring consistency across documentation, code, and visual specifications
- Context-aware generation adapting to project type, complexity, and user preferences

**Knowledge Management System**
- Systematic organization of copyright law requirements, technical standards, and design principles
- Version-controlled template systems enabling rapid adaptation to regulatory changes
- Modular knowledge components supporting extensibility and customization

**Quality Assurance Infrastructure**
- Multi-layered validation including syntactic, semantic, and compliance verification
- Automated testing frameworks for generated code and documentation
- Professional review protocols ensuring materials meet submission standards

### Repository Structure & Ecosystem Components

This repository implements a **comprehensive knowledge ecosystem** for professional software copyright material generation:

#### Input & Configuration Layer
- **requires_docs/**: Structured requirement templates and user project specifications
  - Multiple requirement template modes (minimal, standard, comprehensive, enterprise-grade)
  - Flexible technical specification frameworks
  - Custom UI design override capabilities
- **Configuration Management**: Centralized project configuration with intelligent defaults and validation

#### Knowledge & Standards Repository
- **specs_docs/**: Systematically organized knowledge base and standards
  - **ui_design_specs/**: Twelve distinct design paradigms with complete implementation guidelines
    - Each specification contains 800-1000+ lines of professional design documentation
    - Comprehensive CSS implementations, design principles, and accessibility standards
    - Strategic differentiation preventing application homogenization
  - **tech_stack_specs/**: Modular technology framework specifications
  - **Quality Standards**: Embedded compliance and validation criteria

#### AI Intelligence Layer
- **system_prompts/**: Eight specialized AI prompt engineering components
  - 01-软著框架系统提示词.md：系统架构设计和业务需求分析
  - 02-页面规划系统提示词.md：功能页面规划和用户体验设计
  - 03-界面设计系统提示词.md：UI设计系统和视觉规范制定
  - 04-网页代码生成系统提示词.md：前端代码实现和交互开发
  - 05-数据库代码生成系统提示词.md：数据模型设计和数据库实现
  - 06-后端代码生成系统提示词.md：后端服务架构和API接口开发
  - 07-用户手册系统提示词.md：专业用户文档和操作指南编写
  - 08-软件著作权登记信息表系统提示词.md：官方申请材料和合规文档生成
  - Each prompt encodes specific domain expertise (architecture, design, implementation, documentation)
  - Progressive workflow integration ensuring consistent output quality
  - Built-in validation and quality control mechanisms
  - Adaptive complexity management based on project requirements
  - **Enhanced Variable System**: All 18 system variables now include Chinese descriptions for improved user experience
    - Core variables: {{title}}（系统完整名称）, {{short_title}}（系统简称）, {{front}}（前端开发语言）, {{backend}}（后端开发语言）
    - Document flow: {{requirements_description}}（需求描述）, {{framework_design}}（框架设计文档）, {{page_list}}（页面规划）, {{ui_design}}（界面设计方案）
    - Generation control: {{generation_mode}}（生成模式）, {{page_count_fast}}（快速模式页面数）, {{api_count_min}}（最小API数量）, etc.

#### Generation & Output Systems
- **output_docs/**: Professional copyright application material portfolio
- **output_sourcecode/**: Complete, submission-ready source code packages
- **process_docs/**: Intermediate generation artifacts and workflow documentation

#### Automation & Quality Assurance
- **Automated tooling**: Project initialization, validation, and generation scripts
- **Quality control**: Multi-layered verification and compliance checking
- **Workflow management**: Guided six-stage professional development process

The system represents a **complete professional ecosystem**, capable of processing any software project concept and generating comprehensive, differentiated, compliance-ready copyright application materials.

### Professional Guidelines & Quality Standards

#### Compliance & Legal Requirements
- **Regulatory Adherence**: All generated materials must meet current software copyright office requirements and evolving legal standards
- **Professional Review Protocol**: AI-generated content requires human expert validation for accuracy, completeness, and legal compliance
- **Documentation Standards**: Output materials follow industry best practices and official copyright registration formatting requirements
- **Quality Gate Requirements**: Multi-layered validation ensuring professional-grade deliverables suitable for official submission

#### Technical Excellence Standards
- **Universal Compatibility**: System architecture supports diverse software types, technical stacks, and application domains
- **Scalability Assurance**: Generation capabilities adapt from prototype-level to enterprise-grade project requirements
- **Innovation Documentation**: Materials systematically highlight software uniqueness, technical innovation, and differentiating features
- **Professional Presentation**: All deliverables maintain consistent professional quality and comprehensive technical depth

#### Success Optimization Factors
- **Requirement Quality**: Investment in detailed, well-structured requirement documentation directly correlates with output excellence
- **Domain Context**: Providing industry-specific context and technical constraints enhances generation accuracy and relevance
- **Iterative Refinement**: System supports progressive enhancement and specialized customization for complex projects
- **Expert Integration**: Framework designed to amplify rather than replace human expertise and creative input

### UI Design System

The system features twelve professionally designed UI styles to match diverse software application types and aesthetic preferences:

#### Professional Business Styles
1. **Corporate Style (Default)**: Professional business interface suitable for enterprise systems, management platforms, and government applications
2. **Bauhaus Style**: Function-first design with geometric purity, ideal for design tools, architectural systems, and academic platforms
3. **Art Deco Style**: Luxury aesthetics with geometric patterns, perfect for high-end e-commerce, hospitality, and cultural institutions

#### Modern & Technology Styles
4. **Cyberpunk Style**: Dark theme with technology aesthetics, ideal for developer tools, data analytics platforms, and tech-focused applications
5. **Futuristic Style**: Digital future aesthetics with HUD interfaces, suitable for data platforms, security systems, and trading applications
6. **Bold Modern Style**: Contemporary design with visual impact, perfect for creative platforms, fashion brands, and innovation products

#### Minimalist & Clean Styles
7. **Minimal Style**: Clean and content-focused design, perfect for content management systems, educational platforms, and productivity tools
8. **Japanese Style**: Zen minimalism with Wabi-Sabi aesthetics, ideal for meditation apps, cultural platforms, and lifestyle applications
9. **Scandinavian Style**: Functional simplicity with natural harmony, suitable for lifestyle apps, health platforms, and family-oriented systems

#### Creative & Artistic Styles
10. **Memphis Style**: Post-modern rebellion with color carnival, perfect for creative platforms, entertainment media, and youth social applications
11. **Pop Art Style**: Mass culture aesthetics with bright colors, ideal for entertainment platforms, fashion shopping, and creative marketing tools
12. **Elegant Vintage Style**: Classic printing aesthetics with warm tones, suitable for cultural education, academic research, and museum applications

#### UI Style Selection Methods:
- **Interactive Setup**: Choose during project initialization with `python3 /absolute/path/to/AI-Copyright-Application-Generator/scripts/init/init_project.py`
- **Configuration**: Set `ui_design_style` parameter in `ai-copyright-config.json`
- **Custom Override**: Create custom UI specification in `requires_docs/UI设计规范.md`

#### Priority System:
Custom UI Specification > User-Selected Style > System Default (Corporate)

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## Working with Claude Code: Professional Guidelines

### Understanding System Complexity & Context

When working with this repository, recognize that you are engaging with a **sophisticated knowledge engineering system** that:

- **Encodes Expert Domain Knowledge**: Each component represents systematic codification of professional expertise in software copyright law, technical documentation, and design standards
- **Implements Advanced AI Engineering**: The seven prompt system represents state-of-the-art applied prompt engineering for domain-specific professional outcomes
- **Maintains Professional Quality Standards**: All outputs must meet legal submission requirements and professional industry standards

### Code Interaction Principles

#### 1. Systematic Understanding Approach
- **Architecture-First Analysis**: Always understand the three-tier system architecture before making modifications
- **Component Interdependency Recognition**: Changes to any component may affect multiple system layers
- **Quality Standard Preservation**: Maintain embedded quality controls and validation mechanisms in all modifications

#### 2. Professional Context Awareness
- **Legal Compliance Priority**: Software copyright materials have legal implications; accuracy and compliance are paramount
- **User Impact Consideration**: System users depend on professional-grade outputs for intellectual property protection
- **Expert Knowledge Respect**: Recognize that system components encode significant domain expertise

#### 3. Technical Excellence Standards
- **Documentation Completeness**: All code modifications must include comprehensive documentation
- **Validation Integration**: New features must include appropriate quality assurance and validation mechanisms
- **Backward Compatibility**: Maintain compatibility with existing user projects and workflows

### Specific Working Guidelines

#### When Modifying AI Prompts (system_prompts/)
- **Expert Consultation Mindset**: These prompts encode legal and technical expertise; modifications require deep domain understanding
- **Quality Control Preservation**: Maintain embedded validation and quality requirements
- **Testing Requirements**: New prompt versions must be validated against known good outputs

#### When Working with UI Specifications (specs_docs/ui_design_specs/)
- **Design System Integrity**: Each UI specification represents a complete, coherent design system
- **Professional Quality Maintenance**: All design elements must maintain professional presentation standards
- **Cross-Component Consistency**: Ensure modifications maintain consistency across related components

#### When Updating Automation Tools (scripts/)
- **User Experience Priority**: These tools must remain accessible to users with varying technical expertise
- **Error Handling Excellence**: Robust error handling and user guidance are essential
- **Quality Assurance Integration**: All automation must include validation and verification capabilities

#### When Enhancing Documentation
- **Professional Presentation**: Documentation represents the project to professional users and evaluators
- **Accuracy Requirements**: Technical information must be precise and up-to-date
- **Completeness Standards**: Users depend on comprehensive guidance for successful outcomes

### Innovation & Extension Guidelines

#### Adding New Features
- **System Architecture Alignment**: New features must integrate coherently with existing three-tier architecture
- **Quality Standard Compliance**: All additions must meet or exceed existing quality standards
- **User Value Focus**: Features must provide clear, measurable value to end users

#### Extending Compatibility
- **Universal Design Principles**: Extensions should enhance rather than limit system accessibility
- **Professional Standards Maintenance**: New capabilities must maintain professional output quality
- **Documentation Excellence**: New features require comprehensive documentation and user guidance

### Success Metrics & Validation

#### Technical Excellence Indicators
- **Code Quality**: Clean, well-documented, maintainable implementation
- **System Integration**: Seamless integration with existing architecture and workflows
- **Performance Standards**: Efficient operation across diverse user environments

#### User Value Indicators
- **Accessibility**: System remains usable by developers with varying expertise levels
- **Professional Outcomes**: Generated materials meet professional and legal standards
- **User Success**: System enables successful software copyright applications

#### Innovation Impact Indicators
- **Knowledge Advancement**: Contributions enhance the systematic codification of domain expertise
- **Capability Extension**: New features expand system utility while maintaining quality
- **Ecosystem Growth**: Modifications contribute to the broader intellectual property protection ecosystem

### Recent System Optimizations & Improvements

The system has undergone significant optimizations to enhance user experience and operational efficiency:

#### Workflow Streamlining (2025)
- **Process Optimization**: Streamlined from 8-stage to 6-stage workflow for improved efficiency
- **Stage Integration**: Combined redundant processes while maintaining comprehensive coverage
- **User Experience**: Reduced complexity without compromising output quality

#### Variable System Enhancement
- **Chinese Localization**: All 18 system variables now include descriptive Chinese names
- **User Clarity**: Enhanced readability and user understanding of system components
- **Standardization**: Consistent variable naming conventions across all system prompts

#### Configuration Improvements
- **Variable Renaming**: Updated key variables for clarity:
  - `system_profile` → `requirements_description`（需求描述）
  - `deploy_requirements` → `copyright_application`（软件著作权登记信息表）
- **Documentation Alignment**: All documentation updated to reflect new naming conventions

#### System Prompt Accuracy
- **Count Correction**: Updated documentation to reflect actual 8 system prompts (not 7)
- **Functional Mapping**: Each prompt now clearly mapped to workflow stages
- **Quality Enhancement**: Improved prompt descriptions and usage guidelines

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## Summary for Claude Code

This system represents **cutting-edge applied AI engineering** in a **highly regulated professional domain**. Every interaction should reflect:

1. **Deep respect for embedded expertise** and quality standards
2. **Commitment to professional excellence** and legal compliance
3. **Focus on user success** in intellectual property protection
4. **Innovation within** established quality frameworks

Your work with this system contributes to democratizing professional intellectual property protection and advancing the application of AI in specialized professional domains.