### Install PyYAML

Source: https://github.com/huangserva/skill-prompt-generator/blob/main/README_v2.0.md

Install the PyYAML library using pip if it is not already installed.

```bash
pip install pyyaml
```

--------------------------------

### Backward Compatibility Example

Source: https://github.com/huangserva/skill-prompt-generator/blob/main/README_v2.0.md

Demonstrates how to use the IntelligentGenerator for backward compatibility with v1.0 of the system. This method is still valid for older projects.

```python
# v1.0 method (still valid)
from intelligent_generator import IntelligentGenerator
gen = IntelligentGenerator()
elements = gen.select_elements_by_intent(intent)
prompt = gen.compose_prompt(elements)
```

--------------------------------

### Check PyYAML Installation

Source: https://github.com/huangserva/skill-prompt-generator/blob/main/README_v2.0.md

Verify if the PyYAML library is installed. If not, it provides instructions to install it using pip.

```python
python3 -c "import yaml; print('✅ PyYAML installed')"
```

--------------------------------

### Modern Minimalist Border Shadow Example

Source: https://github.com/huangserva/skill-prompt-generator/blob/main/design-logic/modern-minimal/principles.md

Example CSS properties for creating a subtle border radius and box shadow typical in modern minimalist designs.

```css
border-radius: 8px
box-shadow: 0 2px 8px rgba(0,0,0,0.06)
```

--------------------------------

### Example: Backward Compatible Portrait Generation

Source: https://github.com/huangserva/skill-prompt-generator/blob/main/UPGRADE_GUIDE_v2.0.md

Demonstrates generating a pure portrait using the CrossDomainGenerator, which is backward compatible with v1.0 functionality. The output includes the generated prompt, its type, and metadata.

```python
generator = CrossDomainGenerator()
result = generator.generate("生成一个年轻女性肖像")

# Output:
# {
#   'prompt': 'female, young adult, East Asian, almond brown eyes, ...',
#   'type': 'portrait',
#   'metadata': {'element_count': 14, 'issues_fixed': 0}
# }
```

--------------------------------

### Example: Design Poster Generation

Source: https://github.com/huangserva/skill-prompt-generator/blob/main/UPGRADE_GUIDE_v2.0.md

Shows how to generate a design-oriented output, such as a poster. The CrossDomainGenerator automatically detects the 'design' type and utilizes both SQLite elements and YAML variables (like color schemes and decorations) to produce the prompt.

```python
result = generator.generate("温馨可爱风格的儿童教育海报")

# Auto-detected: design type
# Output:
# {

```

--------------------------------

### Modern Minimalist Color Palette Example

Source: https://github.com/huangserva/skill-prompt-generator/blob/main/design-logic/modern-minimal/principles.md

Example of a typical color combination for a modern minimalist style, including primary, secondary, background, text, and decorative colors.

```text
主色：#6366F1（靛蓝）
辅色：#8B5CF6（紫色）
背景：#FFFFFF（纯白）
文字：#1F2937（深灰）
装饰：几何线条 opacity:0.08
```

--------------------------------

### Schema Migration for Database

Source: https://github.com/huangserva/skill-prompt-generator/blob/main/README_v2.0.md

This bash command extends the database by adding variable tables. It requires SQLite to be installed.

```bash
# Extend database, add variable tables
sqlite3 extracted_results/elements.db < core/schema_migration_v1.sql
```

--------------------------------

### Example: Cross-Domain Complex Scene Generation

Source: https://github.com/huangserva/skill-prompt-generator/blob/main/UPGRADE_GUIDE_v2.0.md

Illustrates generating a complex scene requiring multiple domains. The CrossDomainGenerator automatically identifies and combines elements from 'portrait', 'video', 'art', and 'common' domains to create a detailed prompt.

```python
result = generator.generate("龙珠动漫的蜡像3D感悟空打出龟派气功")

# Auto-detected: requires portrait + video + art + common
# Output:
# {
#   'prompt': '...(complete prompt text including character, action, effects, lighting)...',
#   'type': 'cross_domain',
#   'metadata': {
#     'domains_used': ['portrait', 'video', 'art', 'common'],
#     'element_count': 12
#   }
# }
```

--------------------------------

### Portrait Generation Mode

Source: https://github.com/huangserva/skill-prompt-generator/blob/main/README_v2.0.md

Use this mode for generating portrait images. The example shows a prompt for a young female portrait.

```python
result = generator.generate("Generate a portrait of a young female")
# Type: portrait
# Usage: portrait domain (502 elements)
```

--------------------------------

### Cross-Domain Generation Mode

Source: https://github.com/huangserva/skill-prompt-generator/blob/main/README_v2.0.md

This mode is for generating prompts that span multiple domains, such as combining character actions with artistic styles. The example uses a Dragon Ball character.

```python
result = generator.generate("Dragon Ball Goku using Kamehameha wave,蜡像3D effect")
# Type: cross_domain
# Usage: portrait + video + art + common (4 domains)
```

--------------------------------

### Using IntelligentGenerator (v1.0) and CrossDomainGenerator (v2.0)

Source: https://github.com/huangserva/skill-prompt-generator/blob/main/UPGRADE_GUIDE_v2.0.md

Demonstrates how to use both the v1.0 IntelligentGenerator and the recommended v2.0 CrossDomainGenerator. Old code using IntelligentGenerator remains valid.

```python
# v1.0 方式（仍然有效）
from intelligent_generator import IntelligentGenerator
gen = IntelligentGenerator()
elements = gen.select_elements_by_intent(intent)
prompt = gen.compose_prompt(elements)

# v2.0 方式（推荐，但可选）
from core.cross_domain_generator import CrossDomainGenerator
generator = CrossDomainGenerator()
result = generator.generate(user_input)
```

--------------------------------

### Run All Tests

Source: https://github.com/huangserva/skill-prompt-generator/blob/main/README_v2.0.md

Execute tests for various components of the system, including variable samplers, cross-domain query, and the unified interface.

```bash
# Test variable sampler
python3 core/variable_sampler.py

# Test cross-domain query
python3 core/cross_domain_query.py

# Test YAML sampler
python3 core/yaml_sampler.py

# Test design bridge
python3 core/design_bridge.py

# Test unified interface
python3 core/cross_domain_generator.py
```

--------------------------------

### Use Unified Interface for Generation

Source: https://github.com/huangserva/skill-prompt-generator/blob/main/UPGRADE_GUIDE_v2.0.md

Recommended method for generating prompts. Automatically identifies the required generation type (portrait, design, or cross-domain) and routes to the appropriate generator. Ensure to close the generator instance after use.

```python
from core.cross_domain_generator import CrossDomainGenerator

generator = CrossDomainGenerator()

# Auto-detect type and generate
result = generator.generate("龙珠悟空打出龟派气功的蜡像3D感")

print(result['prompt'])  # Complete prompt text
print(result['type'])    # Generation type: portrait/design/cross_domain
print(result['metadata'])  # Metadata

generator.close()
```

--------------------------------

### Basic Usage of CrossDomainGenerator

Source: https://github.com/huangserva/skill-prompt-generator/blob/main/README_v2.0.md

Instantiate the generator and use it to generate prompts. The system automatically identifies the prompt type. Remember to close the generator when done.

```python
from core.cross_domain_generator import CrossDomainGenerator

# Create generator
generator = CrossDomainGenerator()

# Generate prompt (auto-detect type)
result = generator.generate("Dragon Ball Goku using Kamehameha wave,蜡像3D effect")

print(result['prompt'])  # Full prompt
print(result['type'])    # Type: portrait/cross_domain/design

generator.close()
```

--------------------------------

### Directly Use Sub-Generators

Source: https://github.com/huangserva/skill-prompt-generator/blob/main/UPGRADE_GUIDE_v2.0.md

For advanced use cases, you can directly instantiate and use the specific sub-generators: CrossDomainQueryEngine for cross-domain queries, DesignVariableBridge for design prompts, and IntelligentGenerator for backward-compatible portrait generation.

```python
# Cross-domain query
from core.cross_domain_query import CrossDomainQueryEngine
engine = CrossDomainQueryEngine()
elements = engine.query_by_intent(intent)

# Design generation
from core.design_bridge import DesignVariableBridge
bridge = DesignVariableBridge()
result = bridge.generate_design_prompt(intent)

# Pure portrait (original method, backward compatible)
from intelligent_generator import IntelligentGenerator
gen = IntelligentGenerator()
elements = gen.select_elements_by_intent(intent)
prompt = gen.compose_prompt(elements)
```

--------------------------------

### Design Generation Mode

Source: https://github.com/huangserva/skill-prompt-generator/blob/main/README_v2.0.md

Utilize this mode for creating design-related prompts, like posters or cards. It integrates with SQLite elements and YAML variables for color schemes and decorations.

```python
result = generator.generate("Warm and cute style children's educational poster")
# Type: design
# Usage: SQLite elements + YAML variables (color scheme, borders, decorations)
```

--------------------------------

### Specify Generation Type with Unified Interface

Source: https://github.com/huangserva/skill-prompt-generator/blob/main/UPGRADE_GUIDE_v2.0.md

When using the unified interface, you can explicitly specify the desired generation type if needed, overriding automatic detection. Supported types include 'portrait', 'design', and 'cross_domain'.

```python
# Force a specific generation type
result = generator.generate(
    "年轻女性肖像",
    generation_type='portrait'  # or 'design' or 'cross_domain'
)
```

=== COMPLETE CONTENT === This response contains all available snippets from this library. No additional content exists. Do not make further requests.