creative-generation-agent

What this skill does

# Creative Generation Agent

Build intelligent agents that generate original creative content across multiple modalities including text, music, images, memes, and podcasts.

## Overview

Creative generation combines:
- **Content Models**: Diffusion models, transformers, GANs
- **Prompt Engineering**: Guide creative output
- **Style Control**: Maintain artistic consistency
- **Quality Assessment**: Evaluate creative output
- **Iteration & Refinement**: Improve results

### Applications

- AI music composition and arrangement
- Automated meme generation
- Podcast script and audio generation
- Creative writing assistance
- Art and image generation
- Video content creation
- Game asset generation

## Quick Start

Extract the code examples and utilities from the directories:

- **Examples**: See [`examples/`](examples/) directory for complete implementations:
  - [`music_generation.py`](examples/music_generation.py) - Music generation and audio synthesis
  - [`meme_generator.py`](examples/meme_generator.py) - Image and text-based meme generation
  - [`podcast_producer.py`](examples/podcast_producer.py) - Podcast script and audio production
  - [`image_generation.py`](examples/image_generation.py) - Diffusion-based image generation
  - [`style_transfer.py`](examples/style_transfer.py) - Neural style transfer

- **Utilities**: See [`scripts/`](scripts/) directory for helper modules:
  - [`creative_quality_assessment.py`](scripts/creative_quality_assessment.py) - Quality evaluation
  - [`audio_effects.py`](scripts/audio_effects.py) - Audio effect processing
  - [`content_moderation.py`](scripts/content_moderation.py) - Safety and compliance filtering

## Music Generation

### 1. Symbolic Music Generation

Generate music as MIDI/musical notation. See [`examples/music_generation.py`](examples/music_generation.py).

**Key Classes:**
- `MusicGenerationAgent` - Generates melodies and full compositions
- Methods: `generate_melody()`, `generate_full_composition()`, `generate_harmony()`

**Usage:**
```python
from examples.music_generation import MusicGenerationAgent

agent = MusicGenerationAgent()
melody = agent.generate_melody(
    seed_notes=[("C4", 1), ("E4", 1), ("G4", 1)],
    length=32,
    temperature=0.8
)
composition = agent.generate_full_composition(style="classical", duration_bars=32)
```

### 2. Audio Synthesis

Generate audio waveforms directly. See [`examples/music_generation.py`](examples/music_generation.py).

**Key Classes:**
- `AudioSynthesisAgent` - Synthesizes audio from MIDI and applies effects

**Usage:**
```python
from examples.music_generation import AudioSynthesisAgent

synth = AudioSynthesisAgent(sample_rate=44100)
audio = synth.synthesize_from_midi(midi_data, duration_seconds=60)
audio = synth.add_effects(audio, effect_type="reverb")
synth.save_audio(audio, "output.wav")
```

## Meme Generation

See [`examples/meme_generator.py`](examples/meme_generator.py) for complete implementations.

### 1. Image-Based Meme Generator

Generate memes by applying captions to templates.

**Key Classes:**
- `MemeGenerationAgent` - Generates image-based memes with captions
- Methods: `generate_meme()`, `generate_caption()`, `apply_caption_to_template()`

**Usage:**
```python
from examples.meme_generator import MemeGenerationAgent

agent = MemeGenerationAgent()
meme = agent.generate_meme(topic="AI agents", meme_template="drake")
meme.save("output_meme.png")
```

### 2. Text-Based Meme Generator

Generate text-only memes in various formats.

**Key Classes:**
- `TextMemeGenerator` - Generates text-based memes
- Methods: `generate_text_meme()`, `generate_joke_meme()`, `generate_deep_meme()`

**Usage:**
```python
from examples.meme_generator import TextMemeGenerator

generator = TextMemeGenerator()
joke_meme = generator.generate_text_meme(topic="Python programming", format_type="joke")
deep_meme = generator.generate_text_meme(topic="AI", format_type="deep")
```

## Podcast Generation

See [`examples/podcast_producer.py`](examples/podcast_producer.py) for complete implementations.

### 1. Script Generation

Generate podcast scripts with structure and natural conversation flow.

**Key Classes:**
- `PodcastScriptGenerator` - Creates scripts from topics
- Methods: `generate_episode()`, `generate_script()`, `generate_content_segments()`, `generate_intro()`, `generate_outro()`

**Usage:**
```python
from examples.podcast_producer import PodcastScriptGenerator

generator = PodcastScriptGenerator()
episode = generator.generate_episode(
    topic="Future of AI",
    duration_minutes=30,
    num_hosts=2
)

print(episode["script"])
```

### 2. Audio Production

Convert scripts to audio with text-to-speech and effects.

**Key Classes:**
- `PodcastAudioProducer` - Produces audio from podcast scripts
- Methods: `produce_podcast()`, `text_to_speech()`, `add_background_music()`, `add_transitions()`

**Usage:**
```python
from examples.podcast_producer import PodcastAudioProducer

producer = PodcastAudioProducer()
audio = producer.produce_podcast(script_text)
```

## Image and Art Generation

See [`examples/image_generation.py`](examples/image_generation.py) and [`examples/style_transfer.py`](examples/style_transfer.py).

### 1. Diffusion Model Integration

Generate images from text prompts using Stable Diffusion or similar models.

**Key Classes:**
- `ImageGenerationAgent` - Generates images from text prompts
- Methods: `generate_image()`, `enhance_prompt()`, `generate_variations()`

**Usage:**
```python
from examples.image_generation import ImageGenerationAgent

agent = ImageGenerationAgent()
image = agent.generate_image(
    prompt="A futuristic city with neon lights",
    style="cyberpunk",
    num_inference_steps=50
)
image.save("generated_image.png")

variations = agent.generate_variations(image, num_variations=4)
```

### 2. Style Transfer

Transfer artistic style from one image to another.

**Key Classes:**
- `StyleTransferAgent` - Applies style transfer between images
- Methods: `transfer_style()`, `preprocess_image()`, `postprocess_image()`

**Usage:**
```python
from examples.style_transfer import StyleTransferAgent

agent = StyleTransferAgent()
stylized = agent.transfer_style(
    content_image="photo.jpg",
    style_image="monet_painting.jpg"
)
```

## Quality Assessment

See [`scripts/creative_quality_assessment.py`](scripts/creative_quality_assessment.py) for complete implementations.

### 1. Creative Quality Metrics

Evaluate generated content across multiple quality dimensions.

**Key Classes:**
- `CreativeQualityAssessor` - Assesses quality of all content types
- Methods: `assess_content_quality()`, `assess_music_quality()`, `assess_meme_quality()`, `assess_image_quality()`

**Usage:**
```python
from scripts.creative_quality_assessment import CreativeQualityAssessor

assessor = CreativeQualityAssessor()

# Assess music quality
music_assessment = assessor.assess_content_quality(audio, content_type="music")
print(f"Overall score: {music_assessment['overall_score']}")
print(f"Metrics: {music_assessment['metrics']}")

# Assess meme quality
meme_assessment = assessor.assess_content_quality(meme, content_type="meme")

# Assess image quality
image_assessment = assessor.assess_content_quality(image, content_type="image")
```

## Best Practices

### Content Generation
- ✓ Start with clear style/mood specifications
- ✓ Use temperature wisely (0.7-0.9 for creativity, 0.3-0.5 for consistency)
- ✓ Implement iterative refinement
- ✓ Maintain seed values for reproducibility
- ✓ Test with diverse prompts

### Quality Control
- ✓ Assess generated content systematically (see [`creative_quality_assessment.py`](scripts/creative_quality_assessment.py))
- ✓ Implement human review loops
- ✓ Track quality metrics over time
- ✓ Use feedback to refine models
- ✓ Version different creative styles

### Audio Processing
- ✓ Use audio effects wisely (see [`audio_effects.py`](scripts/audio_effects.py))
  - Reverb for spatial depth
  - Compression for dynamic control
  - EQ for frequency bala