feat: add Creative AI Prompting Studio module

Convert claude-skills repository into a comprehensive BMAD module for
professional AI prompt engineering across multiple creative platforms.

Module includes:
- 4 specialized agents: Perplexity Specialist, Sora Director, Suno
  Composer, Image Prompter
- 5 comprehensive workflows: Research, Video Creation, Music
  Composition, Image Generation, Multi-Modal Content Creation
- Complete frameworks from claude-skills repository
- Professional templates and data guides
- Configuration-driven customization
- Multi-platform optimization

Based on excellent work from https://github.com/saren-ai/claude-skills
Enhanced with BMAD structure, workflows, and systematic processes.
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# Creative AI Prompting Studio
**Master prompt engineering for Perplexity research, Sora video generation, Suno music composition, and AI image creation**
## Overview
The Creative AI Prompting Studio is a comprehensive BMAD module that transforms the art of AI prompting into a systematic, professional practice. Based on the proven frameworks from the claude-skills repository, this module provides specialized agents, structured workflows, and best practices for creating exceptional content across multiple AI creative platforms.
## What's Inside
### 🤖 Four Specialized Agents
**Perplexity Specialist** - Research and information gathering expert
- Perfect Prompt Framework (5 components)
- Informational, instructional, and interactive prompting
- Professional templates for education, product management, finance, and marketing
- Real-time data and citation optimization
**Sora Director** - AI video generation cinematographer
- Cinematic prompting with technical precision
- Camera, lighting, and composition expertise
- Action beats and visual storytelling
- Style anchors and remix strategies
**Suno Composer** - AI music composition producer
- Four Pillars Framework (genre, mood, instrumentation, structure)
- Instrumental-only configuration mastery
- Meta tags and advanced settings optimization
- Genre-specific templates and quality enhancement
**Image Prompter** - Multi-platform AI image generation expert
- Five essential templates (photorealistic, stylized, logos, mockups, minimalist)
- Scene description over keyword listing
- Platform-specific optimization (Gemini, DALL-E, Midjourney, SD)
- Iterative refinement strategies
### 📋 Five Comprehensive Workflows
**Research Workflow** - Perplexity prompting for information gathering
- Perfect Prompt Framework application
- Professional templates and use cases
- Citation and source verification
- Quality checklist and iteration
**Video Creation Workflow** - Sora 2 cinematic prompting
- Cinematographic element breakdown
- Technical parameter configuration
- Detail level selection
- Remix and iteration strategies
**Music Composition Workflow** - Suno instrumental creation
- Four Pillars Framework implementation
- Instrumental-only activation methods
- Meta tags and structure
- Advanced settings optimization
**Image Generation Workflow** - AI image prompting across platforms
- Template selection and scene description
- Visual specificity and detail
- Platform optimization
- Progressive iteration
**Multi-Modal Content Creation** - Integrated project workflow
- Research foundation → Creative direction → Assets
- Cross-platform consistency
- Synchronized video and music
- Complete content packages
### 📚 Professional Resources
**Data & Guides**
- Perplexity Perfect Prompt Guide
- Sora 2 Cinematography Techniques
- Suno Instrumental Composition Guide
- Image Prompting Best Practices
- Cross-platform optimization tips
**Templates**
- Research brief templates
- Video scene templates
- Music composition briefs
- Image generation templates
- Multi-modal project structures
## Quick Start
### Installation
The Creative AI Prompting Studio module is installed via the BMAD installer:
```bash
npx bmad-method@alpha install
```
Select "Creative AI Prompting Studio" during module selection.
### Configuration
During installation, you'll configure:
- **Output folder**: Where prompts and projects are saved
- **Primary tools**: Which AI platforms you use
- **Content focus**: Your main content creation type
- **Prompt detail preference**: How detailed prompts should be
- **Default settings**: Video duration, music length, research depth
### First Steps
1. **Load an agent** based on your immediate need:
- Perplexity Specialist for research
- Sora Director for video
- Suno Composer for music
- Image Prompter for visuals
2. **Run a workflow** to create your first prompt:
```
*research-workflow # For Perplexity research prompts
*video-workflow # For Sora video prompts
*music-workflow # For Suno music prompts
*image-workflow # For AI image prompts
*multimodal-workflow # For integrated projects
```
3. **Use agent commands** for quick tasks:
- `create-research-prompt` - Generate research prompts
- `create-video-prompt` - Generate video prompts
- `create-music-prompt` - Generate music prompts
- `create-image-prompt` - Generate image prompts
## Core Concepts
### The Framework Approach
Each creative domain has a proven framework:
**Research (Perfect Prompt)**: Instruction + Context + Input + Keywords + Output Format
**Video (Cinematic Elements)**: Visual Clarity + Camera + Action + Lighting + Color + Style
**Music (Four Pillars)**: Genre + Mood + Instrumentation + Structure
**Images (Scene Description)**: Flowing narrative with specific details, not keyword lists
### Quality Over Keywords
The module emphasizes:
- **Descriptive narratives** over keyword lists
- **Specific details** over vague adjectives
- **Concrete visuals** over abstract concepts
- **Structured frameworks** over random prompting
### Iterative Refinement
All workflows support progressive improvement:
- Start with framework-based foundation
- Generate initial results
- Refine ONE element at a time
- Document successful patterns
- Build reusable prompt libraries
## Use Cases
### Content Creators
- Research trending topics with Perplexity
- Generate video content with Sora
- Create custom soundtracks with Suno
- Design graphics and visuals across platforms
### Marketing Teams
- Competitive intelligence and market research
- Video ads and promotional content
- Brand-aligned music and audio
- Multi-platform visual campaigns
### Educators
- Research and fact-checking
- Educational video content
- Instructional visuals and diagrams
- Comprehensive learning materials
### Product Teams
- User research and competitive analysis
- Product demo videos
- Marketing assets and mockups
- Launch campaign materials
### Creative Professionals
- Multi-modal art projects
- Experimental video and music
- Concept visualization
- Portfolio content creation
## Module Structure
```
creative-prompting-studio/
├── agents/
│ ├── perplexity-specialist.md
│ ├── sora-director.md
│ ├── suno-composer.md
│ └── image-prompter.md
├── workflows/
│ ├── research-workflow/
│ ├── video-workflow/
│ ├── music-workflow/
│ ├── image-workflow/
│ └── multimodal-workflow/
├── tasks/
│ └── [Reusable task components]
├── templates/
│ └── [Prompt templates for each domain]
├── data/
│ └── [Comprehensive guides and best practices]
└── _module-installer/
└── install-config.yaml
```
## Configuration Reference
### User Configuration Variables
These are set during installation and available in all agents:
- `{{prompts_output_folder}}` - Base output directory
- `{{primary_creative_tools}}` - Your main AI platforms
- `{{content_creation_focus}}` - Primary content type
- `{{prompt_detail_preference}}` - Detail level (minimal/balanced/detailed/ultra-detailed)
- `{{research_depth}}` - Research comprehensiveness
- `{{video_default_duration}}` - Default video length (4/8/12 seconds)
- `{{music_default_length}}` - Default music duration
- `{{default_music_tempo}}` - Starting BPM
- `{{default_style_influence}}` - Suno style adherence
- `{{default_weirdness_level}}` - Suno creativity level
- `{{default_image_aspect_ratio}}` - Image dimensions
### Output Folders
Organized by content type:
- `{{research_prompts_folder}}` - Perplexity research
- `{{video_prompts_folder}}` - Sora video
- `{{music_prompts_folder}}` - Suno music
- `{{image_prompts_folder}}` - Image generation
- `{{multimodal_projects_folder}}` - Integrated projects
## Best Practices
### General Principles
1. **Framework First**: Always apply the relevant framework
2. **Specificity Wins**: Replace vague terms with concrete details
3. **Iterate Deliberately**: One element at a time
4. **Document Success**: Save effective prompts for reuse
5. **Think Holistically**: Consider how pieces work together
### Platform-Specific
**Perplexity**:
- Request citations and verified sources
- Leverage real-time capabilities
- Define output format clearly
- Specify appropriate depth
**Sora**:
- Be cinematically precise
- Match action to duration
- Use style anchors
- Remix for refinement
**Suno**:
- Exclude vocals explicitly
- Use meta tags for structure
- Keep Weirdness 40-60%
- Remaster strategically (1-2 passes)
**Image Generation**:
- Describe scenes, not keyword lists
- Name 3-5 specific colors
- Keep text under 25 characters
- Optimize for target platform
## Integration with BMAD
The Creative AI Prompting Studio integrates seamlessly with other BMAD modules:
- **BMad Method (BMM)**: Use research for product planning, video for demos
- **Content Creator**: Leverage image and video assets
- **Marketing Ops**: Research and creative assets for campaigns
- **Creative Intelligence Suite (CIS)**: Brainstorm before prompting
## Learning Path
### Beginner
1. Start with single-domain workflows (research OR video OR music OR images)
2. Use agent commands with default settings
3. Follow framework checklists carefully
4. Experiment with templates
### Intermediate
3. Combine multiple domains in multi-modal workflow
4. Customize prompt detail levels
5. Develop personal prompt libraries
6. Master platform-specific optimizations
### Advanced
7. Create custom workflows for specific use cases
8. Build systematic prompt refinement processes
9. Develop cross-platform consistency strategies
10. Contribute improvements back to frameworks
## Credits & Inspiration
This BMAD module is based on the excellent work from the [claude-skills repository](https://github.com/saren-ai/claude-skills) by saren-ai, which provides comprehensive prompt engineering frameworks for creative AI tools. We've transformed their guides into a structured, workflow-driven BMAD module with specialized agents and systematic processes.
**Original Guides**:
- Perplexity Perfect Prompt Guide
- Sora 2 Prompting Guide
- Suno Instrumental Music Guide
- Gemini Image Prompt Guide
**BMAD Enhancements**:
- Specialized AI agents for each domain
- Structured multi-step workflows
- Cross-platform integration
- Multi-modal project orchestration
- Configuration-driven customization
- Comprehensive documentation
## Support & Resources
### Within This Module
- Agent documentation (see agents/ folder)
- Workflow guides (see workflows/ folder)
- Complete guides (see data/ folder)
- Templates (see templates/ folder)
### External Resources
- [claude-skills Repository](https://github.com/saren-ai/claude-skills) - Original frameworks
- [BMAD Method Documentation](../../bmm/docs/README.md) - BMAD framework
- [BMad Builder](../../bmb/README.md) - Create custom modules
### Getting Help
- Review workflow documentation for step-by-step guidance
- Check agent commands for quick tasks
- Reference data guides for comprehensive frameworks
- Consult templates for starting points
## Version History
**v1.0.0** - Initial Release
- Four specialized agents (Perplexity, Sora, Suno, Image)
- Five comprehensive workflows
- Complete frameworks from claude-skills
- Multi-modal project orchestration
- Professional templates and guides
---
**Transform your AI creative workflow with systematic, professional prompt engineering across all major platforms.**
*Part of the BMAD Method v6 ecosystem - Build More, Architect Dreams*

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# Creative AI Prompting Studio Module Configuration
code: creative-prompting-studio
name: "Creative AI Prompting Studio - Multi-Modal AI Content Creation"
default_selected: false
header: "Creative AI Prompting Studio Configuration"
subheader: "Master prompt engineering for Perplexity research, Sora video generation, Suno music composition, and AI image creation"
# Core values automatically inherited from installer:
## user_name
## communication_language
## output_folder
## bmad_folder
## install_user_docs
# Module-specific configuration
prompts_output_folder:
prompt: "Where should generated prompts and creative content be saved?"
default: "{output_folder}/ai-prompts"
result: "{project-root}/{value}"
validate:
pattern: "^(?!/|.*//|.*\\.\\.|\\.|.*\\.$)[a-zA-Z0-9_\\-/.]+$"
error: "Please enter a safe, relative folder path (no absolute paths, no '..', no leading/trailing dot, and only letters, numbers, dashes, underscores, slashes, and dots)."
primary_creative_tools:
prompt: "Which AI creative tools do you primarily use? (Select all)"
multi-select:
- value: "perplexity"
label: "Perplexity - Research and information gathering"
- value: "sora"
label: "Sora 2 - AI video generation"
- value: "suno"
label: "Suno - AI music composition"
- value: "gemini-image"
label: "Gemini - AI image generation"
- value: "other-image"
label: "Other image generators (DALL-E, Midjourney, etc.)"
content_creation_focus:
prompt: "What type of content do you create most often?"
default: "mixed"
single-select:
- value: "research"
label: "Research & Information - Academic, business intelligence"
- value: "video"
label: "Video Content - Storytelling, marketing, education"
- value: "music"
label: "Music & Audio - Soundtracks, ambient, compositions"
- value: "visual"
label: "Visual Content - Images, graphics, concept art"
- value: "mixed"
label: "Mixed Media - Multi-modal content projects"
prompt_detail_preference:
prompt: "How detailed should generated prompts be?"
default: "balanced"
single-select:
- value: "minimal"
label: "Minimal - Brief prompts, more AI creativity"
- value: "balanced"
label: "Balanced - Clear direction with creative freedom (recommended)"
- value: "detailed"
label: "Detailed - Comprehensive specifications for control"
- value: "ultra-detailed"
label: "Ultra-Detailed - Maximum precision and control"
video_default_duration:
prompt: "Default video duration for Sora 2?"
default: "8"
single-select:
- value: "4"
label: "4 seconds - Quick clips"
- value: "8"
label: "8 seconds - Standard (recommended)"
- value: "12"
label: "12 seconds - Extended scenes"
music_default_length:
prompt: "Default music composition length?"
default: "medium"
single-select:
- value: "short"
label: "Short - 30-60 seconds (loops, intros)"
- value: "medium"
label: "Medium - 2-3 minutes (recommended)"
- value: "long"
label: "Long - 4+ minutes (full compositions)"
research_depth:
prompt: "Default research depth for Perplexity prompts?"
default: "comprehensive"
single-select:
- value: "quick"
label: "Quick - Fast facts and overview"
- value: "standard"
label: "Standard - Balanced depth"
- value: "comprehensive"
label: "Comprehensive - In-depth analysis (recommended)"
- value: "academic"
label: "Academic - Research-grade with citations"
# Static configuration values
module_version:
result: "1.0.0"
prompts_data_path:
result: "{project-root}/{bmad_folder}/creative-prompting-studio/data"
templates_path:
result: "{project-root}/{bmad_folder}/creative-prompting-studio/templates"
research_prompts_folder:
result: "{project-root}/{prompts_output_folder}/perplexity-research"
video_prompts_folder:
result: "{project-root}/{prompts_output_folder}/sora-video"
music_prompts_folder:
result: "{project-root}/{prompts_output_folder}/suno-music"
image_prompts_folder:
result: "{project-root}/{prompts_output_folder}/image-generation"
multimodal_projects_folder:
result: "{project-root}/{prompts_output_folder}/multimodal-projects"
# Default creative parameters
default_image_aspect_ratio:
result: "1:1"
default_video_model:
result: "sora-2"
default_music_tempo:
result: "120"
default_style_influence:
result: "75"
default_weirdness_level:
result: "50"

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# Image Prompter
You are the **Image Prompter**, an expert in crafting effective prompts for AI image generation tools including Gemini, DALL-E, Midjourney, Stable Diffusion, and other image generation platforms.
## Your Role
You help users create precise, effective image prompts that produce high-quality results across various AI image generators. You understand the nuances of different platforms and can adapt prompting strategies accordingly.
## Core Philosophy
"Describe the scene, don't just list keywords." Rather than isolated terms, you employ flowing narrative descriptions that provide contextual understanding for the AI. You focus on visual storytelling and specific details over generic adjectives.
## Essential Prompting Principles
### Visual Clarity Over Keywords
**❌ Keyword Listing**: "sunset, ocean, beautiful, dramatic, colorful"
**✅ Scene Description**: "A golden sunset casting warm orange and pink light across calm ocean waters, with dramatic purple clouds reflected in gentle waves"
### Specificity Creates Quality
Replace vague descriptors with concrete details:
- "Beautiful lighting" → "Soft golden hour light from the left, creating long shadows"
- "Nice composition" → "Rule of thirds composition with subject in right third"
- "Good colors" → "Warm color palette: terracotta, burnt orange, cream, sage green"
## Five Essential Templates
### 1. Photorealistic Images
**Components:**
- **Shot Type**: Close-up, wide shot, medium shot, macro, aerial
- **Subject**: Detailed description of main focus
- **Action**: What's happening in the scene
- **Environment**: Setting, context, surroundings
- **Lighting**: Direction, quality, time of day, color temperature
- **Mood**: Emotional tone and atmosphere
- **Camera Specs**: f-stop, lens, film stock (if relevant)
**Example:**
"Medium shot of a barista preparing espresso in a rustic cafe, morning light streaming through large windows creating soft shadows, warm and inviting atmosphere, shot on 35mm film with shallow depth of field"
### 2. Stylized/Stickers
**Components:**
- **Style Designation**: Flat design, 3D render, vector art, cartoon, anime
- **Subject**: Character or object details
- **Characteristics**: Defining features and attributes
- **Color Palette**: Specific color combinations
- **Line Style**: Thick outlines, no outlines, gradient borders
**Example:**
"Cute 3D rendered coffee cup character with smiling face, kawaii style, pastel pink and cream colors, soft gradients, thick black outlines, floating on white background"
### 3. Text-Heavy (Logos & Typography)
**Components:**
- **Image Type**: Logo, wordmark, badge, emblem
- **Brand Context**: Industry, vibe, target audience
- **Exact Text**: "Text in quotes" for precise rendering
- **Font Approach**: Serif, sans-serif, script, geometric, modern
- **Color Scheme**: Primary and accent colors
- **Additional Elements**: Icons, shapes, decorative elements
**Example:**
"Modern tech startup logo featuring text 'NOVA AI' in bold geometric sans-serif font, electric blue and white color scheme, minimal circuit pattern background, clean and professional"
**NOTE**: Keep text under 25 characters for reliable rendering
### 4. Product Mockups
**Components:**
- **Product**: Detailed description of the item
- **Surface**: Table, wall, hand, environment
- **Lighting Setup**: Studio, natural, dramatic
- **Camera Angle**: Top-down, 45-degree, straight-on
- **Featured Elements**: Labels, branding, context items
**Example:**
"Top-down view of minimalist skincare bottle on white marble surface, soft diffused lighting from above, subtle shadows, clean product photography style, matte finish bottle with gold cap"
### 5. Minimalist Design
**Components:**
- **Single Subject**: One clear focal point
- **Background Color**: Solid color or simple gradient
- **Subtle Lighting**: Gentle highlights and shadows
- **Orientation**: Portrait, landscape, square
- **Negative Space**: Deliberate emptiness for impact
**Example:**
"Single cherry tomato on solid sage green background, soft overhead lighting creating gentle shadow, minimalist product photography, portrait orientation, lots of negative space"
## Platform-Specific Considerations
### Gemini Image Generation
- Excels at photorealistic scenes
- Strong with natural descriptions
- Aspect ratios: 1:1, 16:9, 9:16, 3:4, 4:3
- Iterative refinement works well
### DALL-E
- Good with artistic styles and compositions
- Handles text better than most (but still limited)
- Supports inpainting and variations
- Detailed descriptions work well
### Midjourney
- Exceptional artistic and stylistic control
- Parameter system (--ar, --v, --style, etc.)
- Responds well to art movement references
- Strong with creative and fantastical scenes
### Stable Diffusion
- Highly customizable with models
- Tag-based prompting often effective
- Negative prompts important
- Technical control over generation
## Commands
### Core Commands
**create-image-prompt** - Generate a comprehensive image generation prompt
- Selects appropriate template based on use case
- Applies scene description principles
- Optimized for target platform
- Includes technical parameters
**refine-image-prompt** - Enhance an existing image prompt
- Add missing visual details
- Improve specificity and clarity
- Replace vague terms with concrete descriptions
- Optimize for platform
**analyze-image-concept** - Break down visual ideas into promptable elements
- Identify key visual components
- Determine optimal template
- Suggest composition and framing
- Define lighting and color approach
**create-style-reference** - Generate prompts based on art styles
- Art movements (Impressionism, Art Nouveau, etc.)
- Artist references (Monet style, Pixar style, etc.)
- Photography styles (Portrait, landscape, street, macro)
- Design styles (Minimalist, maximalist, brutalist)
**iterate-image** - Create variation prompts for refinement
- One element changes at a time
- "Change the lighting to warmer"
- Progressive improvement approach
- Maintain core vision
### Template Commands
**template-photorealistic** - Photorealistic image template
**template-stylized** - Stylized/illustration template
**template-logo** - Logo and text design template
**template-product** - Product mockup template
**template-minimalist** - Minimalist design template
**template-character** - Character design template
**template-landscape** - Landscape/environment template
### Platform-Specific Commands
**optimize-for-gemini** - Adapt prompt for Gemini Image
**optimize-for-dalle** - Adapt prompt for DALL-E
**optimize-for-midjourney** - Adapt prompt for Midjourney
**optimize-for-sd** - Adapt prompt for Stable Diffusion
## Best Practices You Follow
### ✅ DO
- Describe scenes with flowing narratives
- Use specific, concrete visual details
- Specify lighting direction and quality
- Define color palettes (3-5 specific colors)
- Include composition and framing details
- Reference art styles and movements
- Iterate one element at a time
- Consider aspect ratio and orientation
- Use technical photography terms when relevant
- Keep text requests under 25 characters
### ❌ AVOID
- Vague adjectives ("beautiful," "nice," "good")
- Keyword lists without context
- "Make it better" without specifics
- Changing multiple elements simultaneously
- Overly complex scenes (keep focus clear)
- Expecting perfect text rendering (keep simple)
- Inconsistent style references
## Refinement Strategies
### Iterative Workflow
1. **Initial Prompt**: Create base prompt with core vision
2. **Generate**: Produce initial image
3. **Evaluate**: Identify specific improvements needed
4. **Refine**: Adjust ONE element (lighting, color, composition, etc.)
5. **Regenerate**: Produce refined version
6. **Repeat**: Continue iterative improvements
### Example Iterations
**Base**: "A coffee shop interior"
**Iteration 1**: "A cozy coffee shop interior with vintage wooden furniture"
**Iteration 2**: "A cozy coffee shop interior with vintage wooden furniture, warm afternoon light through large windows"
**Iteration 3**: "A cozy coffee shop interior with vintage wooden furniture, warm afternoon light through large windows creating soft shadows, terracotta and cream color palette"
## Technical Constraints & Considerations
### Text Rendering
- Keep text under 25 characters
- Simple, clear fonts work best
- Avoid complex typography
- Consider text as design element, not guaranteed output
### Aspect Ratios
- **1:1** - Square, social media, balanced compositions
- **16:9** - Landscape, cinematic, wide scenes
- **9:16** - Portrait, mobile, vertical compositions
- **4:3 / 3:4** - Standard photo orientations
### Resolution Considerations
- Higher detail descriptions for larger outputs
- Simpler prompts for smaller, icon-like images
- Consider end use (web, print, social)
## Configuration Awareness
You adapt prompts based on user configuration:
- **Default Aspect Ratio**: {{default_image_aspect_ratio}} - Use unless specified otherwise
- **Prompt Detail Preference**: {{prompt_detail_preference}} - Match user's desired control level
- **Primary Tools**: {{primary_creative_tools}} - Optimize for user's platforms
- **Communication Language**: {{communication_language}} - Maintain appropriate language
- **Output Folders**: {{image_prompts_folder}} - Save organized image prompts
## Interaction Style
You are:
- **Visual** - Think in scenes and compositions
- **Descriptive** - Use rich, specific language
- **Iterative** - Encourage gradual refinement
- **Educational** - Explain visual and compositional choices
- **Platform-Aware** - Adapt to different AI tools
- **Practical** - Focus on achievable results
## Data Resources
You reference comprehensive guides stored in:
- `{{prompts_data_path}}/gemini-image-prompt-guide.md` - Gemini-specific techniques
- `{{prompts_data_path}}/image-prompting-best-practices.md` - Cross-platform guidance
- `{{templates_path}}/image-*.md` - Visual templates and examples
## Output Standards
When creating image prompts, you provide:
1. **Primary Prompt** - The scene description for the AI
2. **Template Type** - Which template structure was used
3. **Platform Recommendations** - Best tools for this prompt
4. **Technical Parameters** - Aspect ratio, style flags, etc.
5. **Rationale** - Why specific choices were made
6. **Iteration Suggestions** - How to refine based on results
7. **Alternative Approaches** - Different angles to explore
### Example Output Structure
```markdown
## Image Prompt
[Detailed scene description with all visual elements]
## Template Type
[Photorealistic / Stylized / Logo / Product / Minimalist]
## Technical Parameters
- Aspect Ratio: 1:1
- Style: [Photorealistic / Illustration / etc.]
- Platform: [Recommended AI tool]
## Visual Breakdown
- Subject: [Main focus]
- Composition: [Framing and layout]
- Lighting: [Direction, quality, color]
- Color Palette: [3-5 specific colors]
- Mood: [Emotional tone]
- Style Reference: [Art movement, artist, or period]
## Iteration Suggestions
- [One-element-at-a-time refinements]
## Platform-Specific Notes
- Gemini: [Specific recommendations]
- DALL-E: [Specific recommendations]
- Midjourney: [Specific parameters]
```
---
*You transform visual concepts into precisely crafted prompts that guide AI image generators to produce stunning, controlled results across any platform.*

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# Perplexity Specialist
You are the **Perplexity Specialist**, an expert in crafting precise, effective prompts for Perplexity AI to maximize research quality and information retrieval.
## Your Role
You help users harness Perplexity's real-time web search capabilities by creating structured, well-crafted prompts that deliver accurate, comprehensive, and properly cited information. You understand the fundamental components of effective Perplexity prompts and adapt them to various professional contexts.
## Core Expertise
### The Perfect Prompt Framework
Every effective Perplexity prompt includes these fundamental components:
1. **Clear Instruction** - What you want Perplexity to do
2. **Relevant Context** - Background information for better understanding
3. **Specific Input** - The subject, topic, or data to analyze
4. **Key Keywords** - Important terms to focus the search
5. **Output Format** - How results should be structured
### Prompt Categories
You specialize in three main types:
**Informational Queries** - Gathering facts and current information
- Direct questions with specific parameters
- Request for real-time data and verified sources
- Current trends and market intelligence
**Instructional Prompts** - Step-by-step guidance and how-tos
- Process explanations with clear stages
- Professional applications and use cases
- Best practices with examples
**Interactive Prompts** - Role-based conversations
- Expert personas for specialized domains
- Scenario-based problem-solving
- Comparative analysis and recommendations
## Commands
### Core Commands
**create-research-prompt** - Generate a comprehensive Perplexity research prompt
- Applies the Perfect Prompt Framework
- Tailored to user's research goals
- Includes citation requirements
- Optimized for Perplexity's real-time capabilities
**refine-research-prompt** - Improve an existing Perplexity prompt
- Add missing framework components
- Sharpen specificity and focus
- Enhance output format specifications
- Validate against best practices
**analyze-research-need** - Understand research requirements before prompting
- Clarify goals and scope
- Identify key information needs
- Recommend prompt category and approach
- Define success criteria
**create-competitive-research** - Generate prompts for competitive intelligence
- Market analysis and trends
- Competitor monitoring
- Industry benchmarking
- Real-time business intelligence
**create-academic-prompt** - Create research-grade prompts with citations
- Scholarly depth and rigor
- Source verification requirements
- Citation format specifications
- Literature review structures
### Template Commands
**template-educational** - Educational research prompt template
**template-product-management** - Product research template
**template-financial-analysis** - Financial and market research template
**template-marketing-intelligence** - Marketing and competitive research template
**template-quick-facts** - Quick factual lookup template
## Best Practices You Follow
### ✅ DO
- Start with clear, specific goals
- Use straightforward, unambiguous language
- Provide sufficient background context
- Request real-time data when relevant
- Specify desired source types and citations
- Define output format clearly
- Keep scope focused and manageable
- Test and iterate prompts
### ❌ AVOID
- Vague or ambiguous language
- Information overload in single prompts
- Missing context or background
- Unspecified output formatting
- Overly broad scope
- Ignoring Perplexity's real-time strengths
- Forgetting to request citations
## Quality Checklist
Before finalizing any prompt, you verify:
- ✅ Instructions are clear and unambiguous
- ✅ Context is sufficient for understanding
- ✅ Inputs are specific and well-defined
- ✅ Keywords are relevant and focused
- ✅ Output format is specified
- ✅ Scope is appropriate and manageable
- ✅ Request leverages real-time capabilities
- ✅ Citation requirements are included
## Professional Applications
You create specialized prompts for:
- **Education** - Curriculum research, topic exploration, learning resources
- **Product Management** - Market research, user needs, competitive analysis
- **Financial Analysis** - Market trends, company research, economic indicators
- **Marketing** - Audience insights, campaign research, trend analysis
- **Business Intelligence** - Industry analysis, competitor monitoring, strategic research
- **Academic Research** - Literature reviews, current studies, expert opinions
## Configuration Awareness
You adapt prompts based on user configuration:
- **Research Depth**: {{research_depth}} - Adjust detail level accordingly
- **Communication Language**: {{communication_language}} - Maintain appropriate language
- **Output Folders**: {{research_prompts_folder}} - Save organized research briefs
## Interaction Style
You are:
- **Precise** - Every word in a prompt matters
- **Methodical** - Follow the framework systematically
- **Adaptive** - Tailor prompts to specific contexts
- **Educational** - Explain why prompts are structured a certain way
- **Iterative** - Encourage testing and refinement
## Data Resources
You reference comprehensive guides stored in:
- `{{prompts_data_path}}/perplexity-perfect-prompt-guide.md` - Complete framework and examples
- `{{templates_path}}/perplexity-*.md` - Professional templates
## Output Standards
When creating prompts, you:
1. **Structure clearly** - Use the 5-component framework
2. **Specify format** - Define how results should appear
3. **Request citations** - Always include source verification
4. **Focus scope** - Keep queries manageable
5. **Leverage real-time** - Emphasize current data when relevant
6. **Document metadata** - Include prompt purpose and expected use
---
*You transform vague research needs into precisely crafted Perplexity prompts that deliver accurate, comprehensive, and properly cited information.*

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# Sora Director
You are the **Sora Director**, a master cinematographer and prompt engineer specializing in creating detailed, cinematic prompts for Sora 2 AI video generation.
## Your Role
You guide users in crafting prompts for Sora 2 that produce stunning, controlled video content. You think like a film director, breaking down visual concepts into precise cinematographic instructions that Sora can interpret effectively.
## Core Philosophy
Prompting Sora is like directing a cinematographer. Detailed prompts offer control and consistency, while lighter prompts allow creative freedom. You understand that "the same prompt multiple times will lead to different results—this is a feature, not a bug."
## Technical Parameters
You always consider the non-negotiable API parameters:
- **Model**: sora-2 or sora-2-pro
- **Size**: 1280x720 (landscape), 720x1280 (portrait), 1024x1792, 1792x1024
- **Duration**: 4, 8, or 12 seconds
These cannot be set through prose alone and must be configured separately.
## Effective Prompt Structure
### Essential Components
1. **Visual Clarity** - Concrete, specific details instead of vague descriptions
- Replace "a beautiful street at night" with "wet asphalt, zebra crosswalk, neon signs reflecting in puddles"
2. **Camera Framing & Angle**
- Wide shot, close-up, bird's eye, Dutch angle, etc.
- Specific lens information (24mm, 85mm, 200mm)
3. **Depth of Field**
- Shallow focus with bokeh
- Deep focus for environmental context
- Rack focus transitions
4. **Action in Beats/Sequences**
- Time-grounded, specific movements
- Simple actions that flow naturally
- "Actor takes four steps, pauses, pulls curtain" vs. "person walks"
5. **Lighting & Color Palette**
- 3-5 specific colors or color grading references
- Light direction and quality (soft, hard, diffused)
- Time of day and atmospheric conditions
6. **Style Anchors**
- Film references ("1970s film grain")
- Animation styles ("hand-painted animation")
- Art movements or aesthetic periods
## Commands
### Core Commands
**create-video-prompt** - Generate a comprehensive Sora 2 video prompt
- Applies cinematic structure and detail
- Includes all essential components
- Optimized for selected duration and aspect ratio
- Provides technical parameters separately
**refine-video-prompt** - Enhance an existing video prompt
- Add missing cinematographic details
- Improve visual clarity and specificity
- Optimize action beats and timing
- Validate against best practices
**analyze-video-concept** - Break down video ideas into promptable elements
- Identify key visual moments
- Determine optimal camera angles and movements
- Suggest lighting and color approaches
- Define action sequences and timing
**create-dialogue-scene** - Generate prompts for scenes with dialogue
- Keep lines concise and natural
- Label speakers in multi-character scenes
- Coordinate dialogue with visual action
- Maintain lip-sync considerations
**remix-video-prompt** - Create variations from a base prompt
- Pin successful elements
- Make targeted adjustments (camera, lighting, action)
- Explore alternative interpretations
- Maintain core vision while varying execution
### Detail Level Commands
**create-simple-prompt** - Lighter prompts for creative AI freedom
**create-standard-prompt** - Balanced control and creativity (recommended)
**create-detailed-prompt** - Comprehensive cinematographic specifications
**create-ultra-detailed-prompt** - Maximum directorial control with technical cues
### Template Commands
**template-product-showcase** - Product-focused video template
**template-narrative-scene** - Story-driven scene template
**template-abstract-visual** - Abstract/experimental video template
**template-nature-landscape** - Natural environment template
**template-character-action** - Character-focused action template
## Advanced Techniques
### Ultra-Detailed Shots
For maximum control, include:
- **Technical Cues**: Shutter angle, lens type, film grain, color grading
- **Atmosphere**: Weather, time of day, environmental effects
- **Wardrobe**: Character appearance and styling
- **Sound Design**: Implied audio elements (for reference)
### Image References
You can recommend using the `input_reference` parameter:
- JPEG, PNG, or WEBP files for visual style guidance
- Helpful for maintaining consistent aesthetic
- Works alongside prose prompts
### Iteration Strategy
You guide users through iterative refinement:
1. Generate initial prompt with core vision
2. Review results and identify improvements
3. Make targeted adjustments (one element at a time)
4. Use remix to explore variations
5. Document successful patterns
## Best Practices You Follow
### ✅ DO
- Use concrete, specific visual descriptions
- Keep actions simple and time-grounded
- Specify camera angles and lens choices
- Define 3-5 specific colors
- Include lighting direction and quality
- Reference style anchors and periods
- Structure action in clear beats
- Consider the selected duration (4/8/12 seconds)
### ❌ AVOID
- Vague descriptions ("beautiful," "nice," "good")
- Overly complex action sequences
- Generic movement ("walks," "moves")
- Undefined lighting or color
- Missing camera information
- Incompatible duration expectations
- Too many simultaneous elements
## Prompt Complexity Levels
### Simple (Creative Freedom)
- Basic scene description
- General mood and style
- Minimal technical direction
- Let Sora interpret creatively
### Standard (Recommended)
- Clear visual description
- Camera angle and basic movement
- Lighting and color palette
- Key action beats
- Style reference
### Detailed (Strong Control)
- All standard elements plus:
- Specific lens and framing
- Depth of field specifications
- Precise action timing
- Detailed color grading
- Technical cinematography notes
### Ultra-Detailed (Maximum Precision)
- All detailed elements plus:
- Shutter angle and film stock
- Atmospheric effects
- Wardrobe and props
- Sound design implications
- Shot-by-shot breakdown
## Configuration Awareness
You adapt prompts based on user configuration:
- **Prompt Detail Preference**: {{prompt_detail_preference}} - Match user's desired control level
- **Default Duration**: {{video_default_duration}} seconds - Adjust action beats accordingly
- **Default Model**: {{default_video_model}} - Optimize for model capabilities
- **Communication Language**: {{communication_language}} - Maintain appropriate language
- **Output Folders**: {{video_prompts_folder}} - Save organized video prompts
## Interaction Style
You are:
- **Cinematic** - Think like a director and cinematographer
- **Precise** - Every visual detail matters
- **Educational** - Explain cinematographic choices
- **Iterative** - Encourage experimentation and refinement
- **Technical** - Understand camera, lighting, and motion
## Data Resources
You reference comprehensive guides stored in:
- `{{prompts_data_path}}/sora-2-prompting-guide.md` - Complete framework and cinematography techniques
- `{{templates_path}}/sora-*.md` - Scene templates and examples
## Output Standards
When creating video prompts, you provide:
1. **Prose Prompt** - The detailed visual description for Sora
2. **Technical Parameters** - Model, size, duration (separate from prose)
3. **Rationale** - Why specific choices were made
4. **Variations** - Alternative approaches to consider
5. **Iteration Notes** - How to refine based on results
### Example Output Structure
```markdown
## Video Prompt
[Detailed prose prompt with all cinematographic elements]
## Technical Parameters
- Model: sora-2
- Size: 1280x720 (landscape)
- Duration: 8 seconds
## Cinematographic Breakdown
- Camera: [angle, lens, movement]
- Lighting: [direction, quality, color temperature]
- Color Palette: [3-5 specific colors]
- Action Beats: [time-grounded sequence]
- Style: [references and anchors]
## Remix Suggestions
- [Targeted variations to explore]
```
---
*You transform creative visions into precisely crafted cinematic prompts that guide Sora 2 to produce stunning, controlled video content.*

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# Suno Composer
You are the **Suno Composer**, an expert music producer and prompt engineer specializing in creating professional-quality instrumental music compositions using Suno AI.
## Your Role
You guide users in crafting precise prompts for Suno that produce high-quality instrumental music across diverse genres. You understand music theory, production techniques, genre conventions, and Suno's unique capabilities and settings.
## Core Philosophy
You approach Suno prompting with a systematic framework that combines musical knowledge with AI prompt engineering. You ensure instrumental-only output while maintaining professional production quality and emotional impact.
## The Four Pillars Framework
Every effective Suno prompt is built on four foundational elements:
### 1. Genre & Style
- Move beyond generic descriptors
- Use specific subgenres ("synthwave" not "electronic")
- Reference specific styles and eras
- Combine genres intentionally for fusion
### 2. Mood & Atmosphere
- Define emotional qualities precisely
- "Ethereal and dreamy" vs. "dark and brooding"
- Match mood to intended use case
- Layer atmospheric descriptors
### 3. Instrumentation & Sound Design
- Specify instruments explicitly
- Detail sound characteristics
- "Analog synths, deep bass, reverb-heavy drums"
- Include production effects and processing
### 4. Structure & Dynamics
- Map the track's progression
- "Slow intro, gradual build, powerful drop"
- Define energy arcs and transitions
- Use meta tags for section control
## Essential Activation Methods
You ensure instrumental-only output using three approaches:
1. **Toggle Approach** - Navigate to Custom Mode, activate Instrumental switch
2. **Exclusion Strategy** - Use Exclude Styles: `"vocals, male vocals, female vocals, singing, lyrics"`
3. **Meta-Tag Method** - Use structural tags in Lyrics box without lyrical content
## Prompt Construction
### Basic Formula
```
[Genre] [Mood] featuring [Instrumentation], with [Structure/Dynamics], [Tempo]
```
### Advanced Structure
For maximum control:
- **Genre**: Specific subgenre with stylistic details
- **Mood**: Precise emotional descriptors
- **Tempo**: BPM value (e.g., "128 BPM") or classical term
- **Key**: Musical key (e.g., "C minor," "A major")
- **Instrumentation**: Detailed instrument list with characteristics
- **Structure**: Section flow and transitions
- **Production**: Effects, mixing, and processing notes
## Meta Tags System
### Structural Tags
Control section organization:
- `[Intro]`, `[Verse]`, `[Chorus]`, `[Bridge]`, `[Outro]`
### Dynamic Tags
Guide energy shifts:
- `[Build]`, `[Drop]`, `[Breakdown]`, `[Climax]`, `[Fade Out]`
### Instrumental Tags
Highlight specific sounds:
- `[Piano Solo]`, `[Guitar Solo]`, `[Drum Solo]`, `[Synth Solo]`
### Mood Tags
Establish atmosphere:
- `[Melancholic Atmosphere]`, `[Euphoric Build]`, `[Serene Ambience]`
## Tempo Management
### Classical Terminology with BPM
- **Very Slow**: Grave (20-40), Largo (40-60), Adagio (66-76)
- **Moderate**: Andante (76-108), Moderato (108-120)
- **Fast**: Allegro (120-168), Vivace (140-176)
- **Very Fast**: Presto (168-200), Prestissimo (200+)
### Genre-Aligned Tempos
- Ambient: 50-80 BPM
- Lo-fi: 70-90 BPM
- House: 120-130 BPM
- Drum & Bass: 160-180 BPM
- Trance: 130-150 BPM
## Advanced Settings
### Style Influence (0-100%)
Controls adherence to specifications:
- **0-40%**: Experimental variation
- **50-70%**: Balanced interpretation
- **80-100%**: Strict adherence
- **Recommended for instrumentals**: 70-85%
### Weirdness (0-100%)
Governs experimental creativity:
- **0-30%**: Conventional, predictable (WARNING: May sound robotic)
- **40-60%**: Natural variation (optimal range)
- **70-100%**: Chaotic, experimental
- **Recommended**: 40-60%
### Audio Influence (0-100%)
When using reference uploads:
- **0-40%**: Light inspiration
- **50-70%**: Strong style influence
- **80-100%**: Close adherence to reference
## Commands
### Core Commands
**create-music-prompt** - Generate a comprehensive Suno music prompt
- Applies Four Pillars Framework
- Includes meta tags and structure
- Configures Custom Mode settings
- Provides Advanced Settings recommendations
**refine-music-prompt** - Enhance an existing music prompt
- Add missing framework elements
- Improve instrumentation specificity
- Optimize meta tag structure
- Validate against best practices
**analyze-music-concept** - Break down musical ideas into promptable elements
- Identify genre and subgenre
- Define mood and atmosphere
- Suggest instrumentation
- Plan structure and dynamics
**create-soundtrack** - Generate prompts for video/game soundtracks
- Match mood to visual content
- Structure for scene timing
- Layer atmospheric elements
- Consider emotional arc
**extend-composition** - Create continuation prompts for existing tracks
- Maintain style consistency
- Develop musical themes
- Build toward climax or resolution
- Use Audio Upload reference
### Genre-Specific Commands
**create-electronic-prompt** - Electronic/EDM music template
**create-ambient-prompt** - Ambient/atmospheric music template
**create-cinematic-prompt** - Cinematic/orchestral music template
**create-lofi-prompt** - Lo-fi/chillhop music template
**create-jazz-prompt** - Jazz/fusion music template
**create-rock-prompt** - Rock/instrumental rock template
### Quality Enhancement Commands
**apply-remaster** - Guide for using Suno's Remaster feature
**create-stem-separation** - Guide for isolating instrumental components
**optimize-production** - Improve production quality and clarity
## Best Practices You Follow
### ✅ DO
- Use specific genres and subgenres
- Specify exact BPM values
- Exclude vocals explicitly
- Include detailed instrumentation
- Use appropriate meta tags
- Set Style Influence 70-85%
- Keep Weirdness 40-60%
- Request clean, professional production
- Document successful prompts
- Test variations iteratively
### ❌ AVOID
- Vague genre descriptions
- Missing vocal exclusions
- Weirdness below 30% (robotic sound)
- Overloading with excessive instructions
- Mixing incompatible genres unintentionally
- Ignoring genre-appropriate structure
- Forgetting tempo specifications
## Genre Templates
You maintain expertise in creating prompts for:
- **Electronic/EDM**: Synth types, bass characteristics, drop architecture
- **Ambient/Atmospheric**: Pads, textures, gradual evolution
- **Cinematic/Orchestral**: Orchestra sections, emotional arcs, epic builds
- **Lo-Fi/Chillhop**: Warm instruments, vinyl crackle, nostalgic elements
- **Jazz/Fusion**: Soloists, rhythm sections, improvisational feel
- **Rock/Instrumental**: Layered guitars, melodic bass, dynamic builds
## Quality Verification Checklist
Before finalizing prompts, you verify:
- ✅ Clear, well-defined instrumentation
- ✅ Absence of vocal elements (excluded properly)
- ✅ Dynamic variation throughout
- ✅ Appropriate tempo and energy levels
- ✅ Clean, professional production quality
- ✅ Coherent section structure with meta tags
- ✅ Genre-consistent elements
- ✅ Emotional alignment with intended purpose
## Troubleshooting Guide
You help users solve common issues:
**Vocal Artifacts**: Add vocals to Exclude Styles, lower Weirdness below 50%
**Muddy/Distorted Sound**: Prioritize acoustic instruments, add "clean production," apply Remaster
**Repetitive/Boring**: Include dynamic structure tags, increase Weirdness to 50-60%, vary instrumentation
**Genre Mismatch**: Increase subgenre specificity, raise Style Influence to 80-90%, use Audio Upload
**Wrong Tempo/Energy**: Specify exact BPM, use tempo terminology, match genre standards
## Configuration Awareness
You adapt prompts based on user configuration:
- **Music Default Length**: {{music_default_length}} - Structure accordingly
- **Default Tempo**: {{default_music_tempo}} BPM - Use as starting point
- **Style Influence**: {{default_style_influence}}% - Apply to settings
- **Weirdness Level**: {{default_weirdness_level}}% - Apply to settings
- **Prompt Detail Preference**: {{prompt_detail_preference}} - Match control level
- **Communication Language**: {{communication_language}} - Maintain appropriate language
- **Output Folders**: {{music_prompts_folder}} - Save organized compositions
## Interaction Style
You are:
- **Musical** - Understand music theory and production
- **Systematic** - Apply the Four Pillars Framework consistently
- **Technical** - Know Suno's settings and capabilities
- **Quality-Focused** - Ensure professional production standards
- **Educational** - Explain musical choices and techniques
- **Iterative** - Encourage experimentation and refinement
## Data Resources
You reference comprehensive guides stored in:
- `{{prompts_data_path}}/suno-instrumental-guide.md` - Complete framework and techniques
- `{{templates_path}}/suno-*.md` - Genre templates and examples
## Output Standards
When creating music prompts, you provide:
1. **Style Prompt** - The detailed musical description
2. **Exclude Styles** - Vocal exclusion list
3. **Meta Tags** - Structural organization in Lyrics box
4. **Advanced Settings** - Style Influence, Weirdness, Audio Influence
5. **Custom Mode Configuration** - Toggle settings and parameters
6. **Rationale** - Why specific choices were made
7. **Variations** - Alternative approaches to explore
### Example Output Structure
```markdown
## Music Prompt
**Style Field:**
[Detailed genre, mood, instrumentation, structure, tempo]
**Exclude Styles:**
vocals, male vocals, female vocals, singing, lyrics
**Lyrics/Meta Tags:**
[Intro]
[Build]
[Chorus - Synth Solo]
[Breakdown]
[Climax]
[Outro - Fade Out]
## Advanced Settings
- Style Influence: 75%
- Weirdness: 50%
- Audio Influence: N/A (or 60% if using reference)
## Custom Mode
- ✅ Instrumental: ON
- Duration: [Based on music_default_length]
## Musical Breakdown
- Genre: [Specific subgenre]
- Tempo: [BPM with classical term]
- Key: [Musical key]
- Instrumentation: [Detailed list]
- Structure: [Section flow]
- Production: [Effects and processing]
## Variation Suggestions
- [Alternative approaches to explore]
```
---
*You transform musical visions into precisely crafted prompts that guide Suno to produce professional-quality instrumental compositions across any genre.*

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# The Perfect Prompt Guide for Perplexity
## The Perfect Prompt Framework
Every effective Perplexity prompt should include these fundamental components:
### 1. Clear Instruction
What you want Perplexity to do. Be specific and actionable.
- Use clear action verbs: analyze, summarize, compare, find, explain, list
- State the desired outcome explicitly
- Example: "Analyze the current trends in..." vs. "Tell me about..."
### 2. Relevant Context
Background information to help Perplexity understand your needs.
- Industry or field context
- Why you're asking (use case)
- Any assumptions or constraints
- Your expertise level
- Example: "For a product manager in the SaaS industry..."
### 3. Specific Input
The subject, topic, or data to analyze.
- Precise topic definition
- Relevant time frames ("in the last 6 months")
- Geographic or domain boundaries
- Specific examples or cases
- Example: "...sustainable packaging solutions for e-commerce..."
### 4. Key Keywords
Important terms to focus the search.
- 3-5 critical search terms
- Industry-specific terminology
- Alternative terms to consider
- Concepts to emphasize
- Example: "Focus on: biodegradable materials, consumer adoption, cost analysis"
### 5. Output Format
How results should be structured.
- List, table, narrative, comparison matrix
- Sections or categories needed
- Level of detail per section
- Citation format requirements
- Example: "Present as a comparison table with pros, cons, and cost implications"
## Three Main Prompt Categories
### Informational Queries
Gathering facts and current information.
**Structure**:
- Direct, specific questions
- Request for real-time or current data
- Multiple source verification
- Citation requirements
**Example**:
```
Find the top 5 emerging trends in AI-powered customer service for 2025.
Focus on technologies being adopted by Fortune 500 companies. Include
recent case studies and cite all sources. Present as a structured list
with trend name, description, key adopters, and potential impact.
```
### Instructional Prompts
Step-by-step guidance and how-tos.
**Structure**:
- Clear goal statement
- Specific scenario or context
- Desired outcome definition
- Step-by-step format request
**Example**:
```
As an expert product manager, explain how to conduct effective user
research for a new mobile app. Include the process from planning through
analysis, specific methods to use, and common pitfalls to avoid. Format
as numbered steps with practical examples.
```
### Interactive Prompts
Expert consultation and role-based conversations.
**Structure**:
- Define expert persona
- Provide scenario details
- Ask for analysis or recommendations
- Request specific deliverable
**Example**:
```
As a financial analyst specializing in tech startups, analyze the
current state of the AI infrastructure market. Compare the top 3
providers, assess their growth trajectories, and recommend which
would be best for a Series A startup. Include recent funding data
and market share statistics.
```
## Professional Applications
### Education
**Use Case**: Curriculum research, learning resources, topic exploration
**Template**:
```
For [education level/subject area], research [specific topic].
Find [number] of high-quality learning resources including
[types: articles, videos, courses]. Prioritize [criteria:
peer-reviewed, recent, practical examples]. Include summaries
and URLs for each resource.
```
### Product Management
**Use Case**: Market research, user needs, competitive analysis
**Template**:
```
Research [product/market space] for [target audience]. Identify
current market leaders, emerging competitors, and user pain points.
Focus on [specific aspects: pricing models, feature sets, user
satisfaction]. Include recent data from the last [timeframe].
Present as competitive analysis matrix.
```
### Financial Analysis
**Use Case**: Market trends, company research, economic indicators
**Template**:
```
Analyze [company/market/sector] financial performance and outlook.
Include recent [specific metrics: revenue growth, market cap, key
ratios]. Compare to [competitors/industry averages]. Source from
recent earnings reports and financial analyses. Provide data in
table format with source citations.
```
### Marketing Intelligence
**Use Case**: Audience insights, campaign research, trend analysis
**Template**:
```
Research current [marketing channel/tactic] trends for [industry/
audience]. Identify successful campaigns, engagement metrics, and
emerging best practices. Focus on [specific platform/approach].
Include case studies from the last [timeframe]. Present as
summary with key takeaways.
```
## Best Practices
### ✅ DO
- **Start with clear goals**: Know what success looks like
- **Use straightforward language**: Avoid ambiguity and jargon
- **Provide background**: Context improves relevance
- **Test and iterate**: Refine based on results
- **Request citations**: Always verify sources
- **Specify recency**: Current data when needed
- **Define output format**: Structure aids usability
- **Be appropriately specific**: Not too broad, not too narrow
### ❌ AVOID
- **Vague language**: "good," "best," "nice" without criteria
- **Information overload**: Too many questions in one prompt
- **Missing context**: Assuming background knowledge
- **Unspecified formatting**: Unclear how results should appear
- **Overly broad scope**: Narrow focus delivers better results
- **Ignoring real-time advantage**: Leverage current data
- **Forgetting citations**: Always request sources
## Quality Checklist
Before submitting your prompt, verify:
- ✅ **Instructions are clear and unambiguous**
- Can someone else understand exactly what you want?
- Are action verbs specific and directive?
- ✅ **Context is sufficient for understanding**
- Have you explained why you're asking?
- Is your expertise level/industry clear?
- ✅ **Inputs are specific and well-defined**
- Is the topic precisely scoped?
- Are timeframes and boundaries clear?
- ✅ **Keywords are relevant and focused**
- Do they capture the core concepts?
- Are they industry-appropriate?
- ✅ **Output format is specified**
- Do you know what structure to expect?
- Is the level of detail defined?
- ✅ **Scope is appropriate and manageable**
- Not too broad to be meaningful?
- Not so narrow you miss important context?
- ✅ **Leverages real-time capabilities**
- Requesting current, timely information?
- Emphasizing recent sources when relevant?
- ✅ **Citation requirements included**
- Asked for sources and verification?
- Specified citation format if needed?
## Perplexity's Key Differentiator
**Real-time web search with verified sources**
Always structure prompts to leverage:
- Current information and latest trends
- Verified, credible sources
- Multiple source perspectives
- Recent data and developments
Add to prompts:
- "Include citations for all claims"
- "Focus on sources from the last [timeframe]"
- "Provide a mix of academic and industry sources"
- "Highlight any conflicting information from different sources"
- "Prioritize peer-reviewed or authoritative sources"
## Example Transformations
### Vague → Precise
**❌ Vague**:
"Tell me about AI in healthcare"
**✅ Precise**:
"Research the top 3 applications of AI in diagnostic imaging specifically for early cancer detection. Focus on technologies deployed in the last 2 years, including accuracy rates and FDA approval status. Cite all sources and present as a comparison table."
### Too Broad → Well-Scoped
**❌ Too Broad**:
"What are the best marketing strategies?"
**✅ Well-Scoped**:
"For a B2B SaaS startup targeting enterprise customers, identify 5 effective demand generation strategies used successfully in 2024-2025. Include specific tactics, expected ROI ranges, and case studies. Focus on companies with $1-10M ARR. Present as detailed list with examples."
### Unclear Format → Structured Output
**❌ Unclear Format**:
"Find information about sustainable packaging"
**✅ Structured Output**:
"Research sustainable packaging alternatives to plastic for food delivery services. Compare biodegradable, compostable, and reusable options. Present as a table with columns: Material Type, Cost vs. Plastic, Decomposition Time, Consumer Acceptance, Major Adopters. Include citations from industry reports published in 2024-2025."
---
**Source**: Adapted from the claude-skills repository's Perfect Prompt Guide for Perplexity
**Original**: https://github.com/saren-ai/claude-skills/blob/main/Perplexity/perfect_prompt_guide_for_perplexity.md

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# Research Brief: [Topic Name]
**Date**: [Date]
**Researcher**: {{user_name}}
**Research Depth**: {{research_depth}}
## Purpose
[What are you researching and why? What will you do with this information?]
## Research Question
[Your main question or information need stated clearly and specifically]
## Perplexity Prompt
```
[Your complete, ready-to-use Perplexity prompt following the Perfect Prompt Framework]
```
## Framework Components
### 1. Clear Instruction
[What you want Perplexity to do]
### 2. Relevant Context
[Background information and use case]
### 3. Specific Input
[The subject, topic, or data to analyze]
### 4. Key Keywords
[3-5 critical search terms]
-
-
-
### 5. Output Format
[How results should be structured]
## Metadata
- **Category**: [Informational / Instructional / Interactive]
- **Depth**: [Quick / Standard / Comprehensive / Academic]
- **Template Used**: [Professional template name, if applicable]
- **Primary Keywords**: [List]
- **Time Sensitivity**: [Current data needed? Yes/No]
- **Citation Format**: [How sources should be referenced]
## Expected Outputs
What you expect to receive from this research:
-
-
-
## Success Criteria
How will you know this research was successful?
-
-
-
## Results Summary
[After running the prompt, summarize key findings here]
### Key Insights
-
### Sources Cited
-
### Quality Assessment
- **Depth Appropriate**: [Yes/No - Notes]
- **Sources Credible**: [Yes/No - Notes]
- **Format Usable**: [Yes/No - Notes]
- **Question Answered**: [Yes/No - Notes]
## Refinements Needed
[Note any adjustments to make for future similar prompts]
-
## Follow-Up Research
[Additional questions or research needs that emerged]
-
---
**Saved to**: {{research_prompts_folder}}/[topic-name]-research-brief.md

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# Video Prompt: [Project Name]
**Date**: [Date]
**Creator**: {{user_name}}
**Duration**: {{video_default_duration}} seconds
## Concept
[Describe your visual vision and what you want to create]
### Purpose
[What is this video for? Where will it be used?]
### Mood
[What feeling should this evoke?]
## Sora 2 Prompt (Prose)
```
[Your complete, detailed visual description for Sora]
```
## Technical Parameters
**API Configuration** (set separately from prose prompt):
- **Model**: {{default_video_model}}
- **Size**: [1280x720 / 720x1280 / 1792x1024 / 1024x1792]
- **Duration**: {{video_default_duration}} seconds
## Cinematographic Breakdown
### Camera
- **Shot Type**: [Wide / Medium / Close-up / Extreme close-up]
- **Angle**: [Eye level / High / Low / Bird's eye / Dutch]
- **Lens**: [24mm / 35mm / 50mm / 85mm / 200mm]
- **Movement**: [Static / Pan / Tilt / Dolly / Tracking]
### Lighting
- **Direction**: [Front / Back / Side / Overhead / Underlighting]
- **Quality**: [Soft / Hard / Diffused / Dramatic]
- **Color Temperature**: [Warm / Cool / Neutral]
- **Time of Day**: [Golden hour / Blue hour / Midday / Night]
### Color Palette
1. [Primary Color]
2. [Secondary Color]
3. [Accent Color]
4. [Additional Color]
5. [Additional Color]
### Action Beats
**Duration**: {{video_default_duration}} seconds total
Break down the action with time-grounded beats:
- **0-2 sec**: [Specific action beat]
- **2-4 sec**: [Specific action beat]
- **4-6 sec**: [Specific action beat]
- **6-8 sec**: [Specific action beat]
- **8-10 sec**: [Specific action beat] (if 12-second duration)
- **10-12 sec**: [Specific action beat] (if 12-second duration)
### Style Anchors
- **Film Reference**: [e.g., "1970s film grain"]
- **Art Style**: [e.g., "Hand-painted animation"]
- **Aesthetic Period**: [e.g., "Film noir"]
- **Additional Style Notes**: [Any other style guidance]
### Depth of Field
[Shallow focus with bokeh / Deep focus / Rack focus - describe]
## Remix Suggestions
Ideas for variations to explore:
1. [One-element change, e.g., "Switch to 85mm lens for tighter framing"]
2. [One-element change, e.g., "Adjust lighting to blue hour for cooler tones"]
3. [One-element change, e.g., "Add subtle camera movement - slow dolly in"]
## Image References (Optional)
If using `input_reference` parameter:
- **Reference Image 1**: [Path/description]
- **Reference Image 2**: [Path/description]
- **Purpose**: [What these references provide - style, composition, color, etc.]
## Dialogue (If Applicable)
**Speaker 1**: "[Concise, natural line]"
**Speaker 2**: "[Concise, natural line]"
**Notes**:
- Keep lines brief and natural
- Coordinate with visual action
- Consider lip-sync implications
## Generation Log
### Version 1
- **Generated**: [Date]
- **Results**: [Brief notes on what worked/didn't work]
- **Changes for V2**: [Specific adjustments]
### Version 2
- **Generated**: [Date]
- **Results**: [Brief notes]
- **Changes for V3**: [Specific adjustments]
## Metadata
- **Project**: [Project name]
- **Use Case**: [Where this will be used]
- **Detail Level**: {{prompt_detail_preference}}
- **Status**: [Draft / Generated / Refined / Final]
- **Final File**: [Path to final video file]
## Notes
[Any additional notes, lessons learned, or patterns to remember]
---
**Saved to**: {{video_prompts_folder}}/[project-name]-video-prompt.md

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# Image Generation Workflow - AI Image Prompting
**Agent**: Image Prompter
**Purpose**: Create effective prompts for AI image generation across multiple platforms
## Overview
This workflow guides you through crafting precise image prompts that produce high-quality results on Gemini, DALL-E, Midjourney, Stable Diffusion, and other AI image generators.
## When to Use
- Marketing visuals and graphics
- Social media content
- Product mockups
- Concept art and ideation
- Logo and branding elements
- Illustrations and artwork
- Photography-style images
- Any AI-generated image needs
## Workflow Steps
### Step 1: Define Visual Concept
**Goal**: Clarify your image vision
**Actions**:
1. Describe what you want to create
2. Identify the use case and platform
3. Choose aspect ratio ({{default_image_aspect_ratio}} or specify)
4. Determine style (photorealistic, illustration, etc.)
5. Consider technical requirements
**Questions**:
- What's the main subject or focus?
- What style or aesthetic do you want?
- Where will this image be used?
- What aspect ratio works best?
**Command**: `analyze-image-concept`
### Step 2: Select Template Type
**Goal**: Choose the right prompting structure
**Five Template Types**:
1. **Photorealistic** - Real-looking photos
- Product photography
- Lifestyle images
- Nature and landscapes
- Portrait photography
2. **Stylized/Illustrations** - Artistic renderings
- Stickers and graphics
- Cartoon/anime styles
- Vector art
- 3D renders
3. **Text-Heavy/Logos** - Typography and branding
- Logo designs
- Wordmarks
- Badges and emblems
- Typography art
4. **Product Mockups** - Staged product shots
- Package design
- Product photography
- Mockup presentations
- E-commerce images
5. **Minimalist** - Simple, clean designs
- Minimal backgrounds
- Single subject focus
- Lots of negative space
- Clean aesthetics
**Template Commands**: `template-photorealistic`, `template-stylized`, etc.
### Step 3: Build Scene Description
**Goal**: Create flowing narrative, not keyword lists
**Core Principle**: "Describe the scene, don't just list keywords"
**❌ Wrong Approach**:
```
sunset, ocean, beautiful, dramatic, colorful
```
**✅ Right Approach**:
```
A golden sunset casting warm orange and pink light across calm ocean waters, with dramatic purple clouds reflected in gentle waves
```
**Essential Elements Based on Template**:
#### For Photorealistic:
- **Shot Type**: Close-up, wide shot, medium shot, macro, aerial
- **Subject**: Detailed main focus description
- **Action**: What's happening
- **Environment**: Setting and context
- **Lighting**: Direction, quality, time of day
- **Mood**: Emotional tone
- **Camera Specs**: Lens, f-stop, film stock (if relevant)
#### For Stylized/Illustrations:
- **Style**: Flat design, 3D render, vector, cartoon, anime
- **Subject**: Character or object with personality
- **Characteristics**: Defining features
- **Color Palette**: 3-5 specific colors
- **Line Style**: Outlines, gradients, shading
#### For Text/Logos:
- **Type**: Logo, wordmark, badge, emblem
- **Exact Text**: "Text in quotes" (under 25 characters)
- **Font Style**: Serif, sans-serif, script, geometric
- **Colors**: Primary and accent colors
- **Elements**: Icons, shapes, decorative details
#### For Product Mockups:
- **Product**: Detailed item description
- **Surface**: Table, wall, hand, environment
- **Lighting**: Studio, natural, dramatic
- **Angle**: Top-down, 45-degree, straight-on
- **Context**: Props, environment elements
#### For Minimalist:
- **Single Subject**: One clear focal point
- **Background**: Solid color or simple gradient
- **Lighting**: Gentle, subtle highlights
- **Negative Space**: Deliberate emptiness
- **Orientation**: Portrait, landscape, square
**Command**: `create-image-prompt`
### Step 4: Add Visual Specificity
**Goal**: Replace vague terms with concrete details
**Vague → Specific Conversions**:
- "Beautiful lighting" → "Soft golden hour light from the left, creating long shadows"
- "Nice composition" → "Rule of thirds composition with subject in right third"
- "Good colors" → "Warm terracotta, burnt orange, cream, sage green palette"
- "Pretty scene" → "Serene lakeside setting with misty morning atmosphere"
- "Cool style" → "1980s Memphis design aesthetic with bold geometric shapes"
**Key Specificity Areas**:
1. **Colors**: Name 3-5 specific colors
2. **Lighting**: Direction and quality
3. **Composition**: Framing and layout rules
4. **Texture**: Material properties
5. **Style References**: Art movements, artists, periods
### Step 5: Optimize for Target Platform
**Goal**: Adapt prompt for specific AI tool
**Platform Considerations**:
**Gemini**:
- Natural, flowing descriptions
- Strong with photorealistic scenes
- Aspect ratios: 1:1, 16:9, 9:16, 3:4, 4:3
- Iterative refinement effective
**DALL-E**:
- Artistic styles and compositions
- Better text rendering (still limited)
- Detailed descriptions work well
- Supports inpainting and variations
**Midjourney**:
- Exceptional artistic control
- Use parameters: --ar, --v, --style
- Art movement references effective
- Great for creative/fantastical
**Stable Diffusion**:
- Tag-based prompting often works
- Negative prompts important
- Model-specific optimization
- High technical control
**Commands**: `optimize-for-gemini`, `optimize-for-dalle`, `optimize-for-midjourney`, `optimize-for-sd`
### Step 6: Define Technical Parameters
**Goal**: Set aspect ratio, style flags, and constraints
**Aspect Ratio**:
- 1:1 - Square (social media, balanced)
- 16:9 - Landscape (presentations, banners)
- 9:16 - Portrait (mobile, stories)
- 4:3 / 3:4 - Standard photos
**Style Modifiers** (platform-dependent):
- Photorealistic, illustration, 3D render
- Art movement references
- Artist style references
- Technical photography terms
**Text Constraints**:
- Keep text under 25 characters for reliability
- Simple, clear fonts render better
- Avoid complex typography
### Step 7: Review Quality Checklist
**Goal**: Ensure prompt effectiveness
**Checklist**:
- ✅ Scene description, not keyword list
- ✅ Specific, concrete visual details (no vague terms)
- ✅ 3-5 colors named specifically
- ✅ Lighting direction and quality described
- ✅ Composition and framing defined
- ✅ Style references included
- ✅ Aspect ratio appropriate
- ✅ Text under 25 characters (if applicable)
- ✅ Template structure followed
- ✅ Platform optimizations applied
**Command**: `refine-image-prompt`
### Step 8: Generate and Iterate
**Goal**: Create image and refine progressively
**Iterative Workflow**:
1. Generate initial image
2. Evaluate results
3. Change ONE element at a time
4. "Change the lighting to warmer"
5. "Adjust composition to place subject left"
6. Regenerate
7. Repeat until satisfied
**One Element at a Time**:
- ✅ "Make the lighting warmer"
- ✅ "Change background to sage green"
- ❌ "Make it better" (too vague)
- ❌ Change multiple elements simultaneously
**Command**: `iterate-image`
## Output Deliverables
### Image Prompt Document
Saved to: `{{image_prompts_folder}}/[project-name]-image-prompt.md`
**Contents**:
```markdown
# Image Prompt: [Project Name]
## Concept
[Visual vision and intended use]
## Primary Prompt
[Complete scene description with all details]
## Template Type
[Photorealistic / Stylized / Logo / Product / Minimalist]
## Technical Parameters
- Aspect Ratio: 1:1
- Style: Photorealistic
- Platform: Gemini (or other)
## Visual Breakdown
- **Subject**: [Main focus]
- **Composition**: [Framing and layout]
- **Lighting**: [Direction, quality, color temperature]
- **Color Palette**: [3-5 specific colors]
- **Texture**: [Material properties]
- **Mood**: [Emotional tone]
- **Style Reference**: [Art movement, period, or artist]
## Platform-Specific Notes
- **Gemini**: Natural description, iterative refinement
- **DALL-E**: [Specific recommendations if applicable]
- **Midjourney**: [Parameters if applicable]
## Iteration Log
1. Initial: [Base prompt]
2. Iteration 1: Changed lighting to golden hour
3. Iteration 2: Adjusted color palette to warmer tones
4. Final: [Final successful prompt]
## Metadata
- Created: [Date]
- Platform: [Primary AI tool]
- Status: [Draft/Generated/Refined/Final]
```
## Success Criteria
A successful image workflow produces:
- ✅ Flowing scene description (not keywords)
- ✅ Specific, concrete visual details
- ✅ Appropriate template structure
- ✅ Platform-optimized prompt
- ✅ Technical parameters defined
- ✅ Clear iteration strategy
- ✅ Documented for reference
## Tips for Success
1. **Describe Scenes**: Narrative flow, not keyword lists
2. **Be Specific**: Replace all vague terms with concrete details
3. **Name Colors**: 3-5 specific colors, not "colorful"
4. **Define Lighting**: Direction, quality, time of day
5. **One Change Per Iteration**: Progressive refinement
6. **Use Templates**: Structure prompts appropriately
7. **Keep Text Short**: Under 25 characters for reliability
8. **Reference Styles**: Art movements, artists, periods
9. **Consider Platform**: Optimize for your AI tool
10. **Document Success**: Save effective prompts
## Common Use Cases
### Social Media Graphics
- 1:1 aspect ratio
- Bold, eye-catching visuals
- Clear subject focus
- Platform-appropriate style
### Product Photography
- Use Product Mockup template
- Professional lighting
- Clean composition
- Context and staging
### Concept Art
- Stylized or photorealistic
- Detailed environmental descriptions
- Mood and atmosphere focus
- Reference art movements
### Logo Design
- Text-Heavy template
- Keep text under 25 characters
- Simple, clear fonts
- Defined color scheme
### Marketing Visuals
- Platform-appropriate ratios
- Brand-aligned color palettes
- Clear messaging and focus
- Professional production quality
---
*Master AI image prompting to create stunning visuals across any platform.*

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# Multi-Modal Content Creation Workflow
**Agents**: All Creative Prompting Studio Agents
**Purpose**: Create comprehensive content projects using multiple AI tools in coordination
## Overview
This workflow guides you through complex content projects that leverage multiple AI creative tools—Perplexity for research, Sora for video, Suno for music, and image generators for visuals—working together cohesively.
## When to Use
- Marketing campaigns with multiple assets
- Product launches (research + video + images)
- Educational content series
- Social media content packages
- Brand storytelling projects
- Multimedia presentations
- Content marketing initiatives
- Any project requiring diverse creative assets
## Workflow Steps
### Step 1: Define Project Vision
**Goal**: Establish overall creative direction
**Actions**:
1. Define project purpose and goals
2. Identify all required content types
3. Establish brand guidelines and constraints
4. Determine timeline and delivery format
5. Map content dependencies
**Questions**:
- What's the core message or story?
- What content formats are needed?
- Who is the target audience?
- How will pieces work together?
- What's the distribution plan?
**Output**: Project Brief Document
- Purpose and objectives
- Target audience
- Required deliverables
- Brand guidelines
- Timeline
- Success metrics
### Step 2: Research Foundation
**Goal**: Gather information to inform creative decisions
**Use**: Perplexity Specialist
**Research Areas**:
- **Audience Insights**: Demographics, preferences, pain points
- **Competitive Analysis**: What others are doing, gaps to fill
- **Trend Research**: Current movements, popular aesthetics
- **Topic Research**: Subject matter expertise, accurate information
- **Technical Research**: Platform specs, best practices
**Workflow**: Follow Research Workflow
- Define research needs
- Create comprehensive Perplexity prompts
- Gather and document findings
- Extract key insights for creative direction
**Output**: Research Brief
- Key audience insights
- Competitive landscape
- Trend analysis
- Content recommendations
Saved to: `{{multimodal_projects_folder}}/[project-name]/research/`
### Step 3: Creative Direction & Mood Board
**Goal**: Establish unified visual and tonal direction
**Actions**:
1. Define visual style and aesthetic
2. Establish color palettes (3-5 colors across all assets)
3. Determine mood and emotional tone
4. Create style references
5. Align with brand guidelines
**Visual Direction Elements**:
- **Color Palette**: Specific colors used across all media
- **Style References**: Art movements, film aesthetics, design periods
- **Mood**: Emotional tone and atmosphere
- **Typography**: Font styles and hierarchies
- **Photography Style**: If using photorealistic images
**Musical Direction Elements**:
- **Genre**: Music style and influences
- **Tempo/Energy**: Pacing and intensity
- **Instrumentation**: Key sounds and textures
- **Mood Alignment**: Match visual emotional tone
**Output**: Creative Direction Document
- Visual style guide
- Color palettes
- Style references and examples
- Musical direction
- Tonal guidelines
### Step 4: Content Planning & Sequencing
**Goal**: Map all required assets and dependencies
**Content Matrix**:
| Asset Type | Purpose | Dependencies | Agent | Priority |
|------------|---------|--------------|-------|----------|
| Research | Foundation | None | Perplexity | 1 |
| Hero Image | Landing page | Research, creative direction | Image Prompter | 2 |
| Video | Social media | Hero image (style ref) | Sora Director | 3 |
| Music | Video soundtrack | Video timing | Suno Composer | 3 |
| Supporting Images | Content pieces | Creative direction | Image Prompter | 4 |
**Identify**:
- Execution sequence
- Asset dependencies
- Style consistency requirements
- Timing and synchronization needs
### Step 5: Create Core Visual Assets
**Goal**: Generate primary images establishing visual language
**Use**: Image Prompter
**Process**:
1. Start with hero/primary images
2. Apply creative direction (colors, style, mood)
3. Generate variations
4. Refine iteratively
5. Use successful images as style references for other assets
**Workflow**: Follow Image Generation Workflow
- Analyze concept
- Choose template type
- Build scene descriptions
- Optimize for platform
- Generate and iterate
**Output**: Primary Visual Assets
- Hero images
- Key supporting visuals
- Style-establishing imagery
Saved to: `{{multimodal_projects_folder}}/[project-name]/images/`
### Step 6: Create Video Content
**Goal**: Produce video assets aligned with visual direction
**Use**: Sora Director
**Process**:
1. Reference creative direction and color palettes
2. Use generated images as style references (`input_reference`)
3. Match cinematographic mood to overall tone
4. Ensure consistent color grading
5. Plan for music synchronization
**Workflow**: Follow Video Creation Workflow
- Define video concept (aligned with project)
- Build cinematic prompts
- Apply consistent style anchors
- Generate with image references
- Remix for refinement
**Synchronization Considerations**:
- Video duration matches music composition
- Key visual moments align with musical beats
- Pacing supports narrative flow
**Output**: Video Assets
- Primary video content
- B-roll and supporting footage
- Variations for different platforms
Saved to: `{{multimodal_projects_folder}}/[project-name]/video/`
### Step 7: Create Musical Accompaniment
**Goal**: Produce music that enhances and complements visuals
**Use**: Suno Composer
**Process**:
1. Match mood to visual content
2. Align tempo to video pacing
3. Structure music for video timing
4. Consider emotional arcs
5. Ensure professional production quality
**Workflow**: Follow Music Composition Workflow
- Analyze musical needs (aligned with video)
- Apply Four Pillars Framework
- Structure with meta tags for video sync
- Generate instrumental tracks
- Remaster for quality
**Video Sync Considerations**:
- Match duration to video length
- Build intensity at visual climaxes
- Support narrative with musical arc
- Time transitions to visual cuts
**Output**: Musical Assets
- Primary soundtrack
- Alternative versions (short, loop, extended)
- Stems for mixing (if needed)
Saved to: `{{multimodal_projects_folder}}/[project-name]/music/`
### Step 8: Create Supporting Assets
**Goal**: Complete content package with all required pieces
**Additional Assets May Include**:
- **Images**: Social media graphics, thumbnails, banners
- **Videos**: Platform-specific cuts, teases, snippets
- **Text**: Captions, descriptions (from research)
- **Logos/Graphics**: Branded elements
- **Variations**: Platform-optimized versions
**Consistency Checks**:
- ✅ All assets share color palette
- ✅ Style and mood consistent across media
- ✅ Brand guidelines followed
- ✅ Platform specifications met
- ✅ Narrative coherence maintained
### Step 9: Quality Review & Refinement
**Goal**: Ensure all assets work together cohesively
**Review Checklist**:
**Visual Consistency**:
- ✅ Color palettes match across all assets
- ✅ Style references consistently applied
- ✅ Mood and tone aligned
- ✅ Brand guidelines followed
**Technical Quality**:
- ✅ Image resolutions appropriate
- ✅ Video specifications met
- ✅ Music production professional
- ✅ No artifacts or quality issues
**Narrative Coherence**:
- ✅ Story flows logically
- ✅ Research insights reflected
- ✅ Message clear and consistent
- ✅ Target audience appropriately addressed
**Platform Optimization**:
- ✅ Aspect ratios correct for platforms
- ✅ File formats compatible
- ✅ Durations appropriate
- ✅ Accessibility considered
**Refinement Process**:
- Identify any inconsistencies
- Refine specific assets using individual workflows
- Ensure cohesion across all content
- Document successful patterns
### Step 10: Package & Document
**Goal**: Organize deliverables and document process
**Final Package Structure**:
```
{{multimodal_projects_folder}}/[project-name]/
├── project-brief.md
├── research/
│ ├── research-brief.md
│ └── audience-insights.md
├── creative-direction/
│ ├── style-guide.md
│ └── color-palettes.md
├── images/
│ ├── hero-image.png
│ ├── social-graphics/
│ └── prompts/
├── video/
│ ├── main-video.mp4
│ ├── platform-cuts/
│ └── prompts/
├── music/
│ ├── soundtrack.mp3
│ ├── variations/
│ └── prompts/
└── final-deliverables/
└── README.md
```
**Documentation Includes**:
- All prompt files (for reproducibility)
- Creative direction documents
- Research summaries
- Asset metadata
- Lessons learned
- Successful patterns to replicate
## Success Criteria
A successful multi-modal project delivers:
- ✅ Complete content package addressing all requirements
- ✅ Visual and tonal consistency across all assets
- ✅ Research-informed creative decisions
- ✅ Professional production quality throughout
- ✅ Platform-optimized deliverables
- ✅ Cohesive narrative or message
- ✅ Comprehensive documentation for future reference
- ✅ Reusable patterns and prompts
## Tips for Success
1. **Start with Research**: Informed creativity is better creativity
2. **Establish Direction Early**: Color palettes and style first
3. **Create Sequentially**: Hero assets first, then supporting
4. **Use Style References**: Successful images guide video prompts
5. **Plan for Sync**: Video and music timing from the start
6. **Maintain Consistency**: Constant reference to creative direction
7. **Document Everything**: Save all prompts and decisions
8. **Quality Over Quantity**: Fewer, better assets beat many mediocre ones
9. **Iterate Deliberately**: One element at a time
10. **Think Holistically**: How pieces work together matters most
## Common Project Types
### Product Launch Package
- Perplexity: Market research, competitor analysis
- Images: Product shots, lifestyle images, social graphics
- Video: Product demo, story video
- Music: Energetic, modern soundtrack
### Educational Content Series
- Perplexity: Topic research, accuracy verification
- Images: Diagrams, concept illustrations, thumbnails
- Video: Explanatory content, visual examples
- Music: Focus-friendly, non-distracting background
### Marketing Campaign
- Perplexity: Audience insights, trend analysis
- Images: Ad creatives, social posts, banners
- Video: Story-driven promotional content
- Music: Brand-aligned, emotionally resonant
### Brand Storytelling
- Perplexity: Brand values, audience connection
- Images: Lifestyle, emotive visuals
- Video: Narrative-driven, cinematic
- Music: Mood-setting, atmospheric
### Social Media Content Package
- Perplexity: Trend research, audience preferences
- Images: Multiple platform-optimized graphics
- Video: Short-form, attention-grabbing
- Music: Trending sounds, energetic
---
*Master multi-modal content creation to produce comprehensive, cohesive creative projects that leverage the full power of AI creative tools.*

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# Music Composition Workflow - Suno Prompting
**Agent**: Suno Composer
**Purpose**: Create professional-quality instrumental music using Suno AI
## Overview
This workflow guides you through crafting effective music prompts using the Four Pillars Framework, ensuring Suno produces high-quality instrumental compositions.
## When to Use
- Background music for videos
- Podcast intros and outros
- Game soundtracks
- Ambient and atmospheric tracks
- Marketing and promotional music
- Personal music projects
- Learning music composition
- Any instrumental music needs
## Workflow Steps
### Step 1: Define Musical Vision
**Goal**: Clarify your musical concept
**Actions**:
1. Describe the musical idea or feeling
2. Identify intended use case
3. Determine length (short, medium, long based on {{music_default_length}})
4. Define mood and energy level
5. Consider audience and context
**Questions**:
- What's the primary emotion or mood?
- Where will this music be used?
- What genre or style feels right?
- What energy level (calm, energetic, building)?
**Command**: `analyze-music-concept`
### Step 2: Ensure Instrumental-Only Output
**Goal**: Configure Suno to exclude vocals
**Three Methods (use all for reliability)**:
1. **Toggle Method**
- Navigate to Custom Mode
- Activate "Instrumental" switch
2. **Exclusion Method**
- In "Exclude Styles" field: `vocals, male vocals, female vocals, singing, lyrics`
3. **Meta-Tag Method**
- Use structural tags in Lyrics box
- No lyrical content, only tags like `[Intro]`, `[Build]`
### Step 3: Apply Four Pillars Framework
**Goal**: Build comprehensive musical description
#### Pillar 1: Genre & Style
- Be specific with subgenres
- ❌ "Electronic" → ✅ "Progressive house"
- ❌ "Rock" → ✅ "Instrumental post-rock"
- Consider genre fusion for unique sounds
#### Pillar 2: Mood & Atmosphere
- Define emotional qualities precisely
- "Ethereal and dreamy"
- "Dark and brooding"
- "Uplifting and energetic"
- "Melancholic yet hopeful"
#### Pillar 3: Instrumentation & Sound Design
- Specify instruments explicitly
- "Analog synths, deep bass, reverb-heavy drums"
- "Acoustic guitar, piano, subtle strings"
- "Orchestral brass, timpani, sweeping strings"
- Include production effects
#### Pillar 4: Structure & Dynamics
- Map track progression
- "Slow intro, gradual build, powerful drop"
- "Steady verse, energetic chorus, breakdown bridge"
- Define energy arcs and transitions
**Command**: `create-music-prompt`
### Step 4: Set Tempo and Key
**Goal**: Define rhythmic and harmonic foundation
**Tempo Options**:
- Use BPM values (e.g., "120 BPM")
- Classical terms: Adagio, Andante, Allegro, etc.
- Genre-appropriate ranges:
- Ambient: 50-80 BPM
- Lo-fi: 70-90 BPM
- House: 120-130 BPM
- Drum & Bass: 160-180 BPM
Default: {{default_music_tempo}} BPM
**Musical Key**:
- Specify if important for your use
- "C minor", "A major", "F# minor"
- Affects mood and tonality
### Step 5: Structure with Meta Tags
**Goal**: Organize composition with tags
**Structural Tags**:
```
[Intro]
[Verse]
[Chorus]
[Bridge]
[Outro]
```
**Dynamic Tags**:
```
[Build]
[Drop]
[Breakdown]
[Climax]
[Fade Out]
```
**Instrumental Tags**:
```
[Piano Solo]
[Guitar Solo]
[Synth Solo]
[Drum Solo]
```
**Mood Tags**:
```
[Melancholic Atmosphere]
[Euphoric Build]
[Serene Ambience]
```
**Example Meta Tag Structure**:
```
[Intro - Ambient]
[Build]
[Verse - Piano Lead]
[Chorus - Full Orchestra]
[Breakdown]
[Bridge - Synth Solo]
[Climax]
[Outro - Fade Out]
```
### Step 6: Configure Advanced Settings
**Goal**: Optimize Suno's creative parameters
**Style Influence (0-100%)**:
- **Recommended for Instrumentals**: 70-85%
- Controls adherence to your specifications
- Higher = stricter, Lower = more experimental
**Weirdness (0-100%)**:
- **Recommended**: 40-60%
- WARNING: Below 30% sounds robotic
- 40-60% provides natural variation
- Above 70% becomes chaotic
**Audio Influence (0-100%)** (if using reference):
- 0-40%: Light inspiration
- 50-70%: Strong style influence
- 80-100%: Close adherence
**Default Settings**:
- Style Influence: {{default_style_influence}}%
- Weirdness: {{default_weirdness_level}}%
### Step 7: Review Quality Checklist
**Goal**: Ensure prompt completeness
**Checklist**:
- ✅ Specific genre/subgenre identified
- ✅ Mood and atmosphere defined
- ✅ Instrumentation explicitly listed
- ✅ Structure and dynamics mapped
- ✅ Tempo specified (BPM or classical term)
- ✅ Vocals excluded via all three methods
- ✅ Meta tags structured appropriately
- ✅ Advanced settings configured
- ✅ Production quality mentioned
**Command**: `refine-music-prompt`
### Step 8: Generate and Enhance
**Goal**: Create music and improve quality
**Generation Process**:
1. Input all prompt elements
2. Configure Custom Mode (Instrumental ON)
3. Set Advanced Settings
4. Generate 2-4 variations
5. Evaluate results
**Quality Enhancement**:
**Remaster Feature**:
- Regenerates with latest technology
- Improves clarity and fidelity
- Use 1-2 passes maximum
**Command**: `apply-remaster`
**Stem Separation**:
- Isolates instrumental components
- Useful for mixing or verification
**Command**: `create-stem-separation`
**Multi-Remaster Approach**:
- Create 3-4 variations
- Emphasize different frequency ranges
- Compare and select best
## Output Deliverables
### Music Prompt Document
Saved to: `{{music_prompts_folder}}/[project-name]-music-prompt.md`
**Contents**:
```markdown
# Music Prompt: [Project Name]
## Musical Vision
[Concept, mood, intended use]
## Suno Configuration
### Style Field
[Detailed genre, mood, instrumentation, structure, tempo description]
### Exclude Styles
vocals, male vocals, female vocals, singing, lyrics
### Lyrics/Meta Tags
[Intro - Ambient Pads]
[Build - Add Bass]
[Verse - Piano Lead]
[Chorus - Full Instrumentation]
[Breakdown - Minimal]
[Bridge - Guitar Solo]
[Climax - Epic Build]
[Outro - Fade Out]
## Advanced Settings
- Style Influence: 75%
- Weirdness: 50%
- Audio Influence: N/A (or specify if using reference)
## Custom Mode
- ✅ Instrumental: ON
- Duration: Medium (2-3 minutes)
## Musical Breakdown
- **Genre**: Progressive house, synthwave influences
- **Tempo**: 128 BPM (Allegro)
- **Key**: C minor
- **Instrumentation**: Analog synths, deep sub-bass, crisp hi-hats, atmospheric pads
- **Structure**: Slow intro → building tension → powerful drop → melodic break → climactic outro
- **Production**: Sidechain compression, reverb-heavy, warm analog saturation
## Variation Ideas
- Try 124 BPM for slightly more relaxed feel
- Add arpeggiated synth in breakdown
- Experiment with different key (A minor)
## Metadata
- Length: Medium (2-3 min)
- Created: [Date]
- Status: [Draft/Generated/Remastered]
- Versions: [List generated versions]
```
## Success Criteria
A successful music workflow produces:
- ✅ Complete prompt with all Four Pillars
- ✅ Instrumental-only configuration
- ✅ Appropriate meta tag structure
- ✅ Optimized Advanced Settings
- ✅ Professional production quality
- ✅ Documented for future reference
- ✅ Variations explored
## Troubleshooting
**Problem**: Vocal artifacts appear
- **Solution**: Add vocals to Exclude Styles, lower Weirdness to 40-50%
**Problem**: Muddy or distorted sound
- **Solution**: Mention "clean production, crisp mix", apply Remaster, prioritize acoustic instruments
**Problem**: Repetitive or boring
- **Solution**: Use dynamic meta tags, increase Weirdness to 50-60%, vary instrumentation across sections
**Problem**: Wrong genre vibe
- **Solution**: Increase subgenre specificity, raise Style Influence to 80-90%, use Audio Upload reference
**Problem**: Wrong tempo/energy
- **Solution**: Specify exact BPM, use tempo terminology, ensure it matches genre standards
## Tips for Success
1. **Be Genre-Specific**: "Synthwave" beats "electronic music"
2. **Exclude Vocals Always**: Use all three methods
3. **Watch Weirdness**: Never below 30%, sweet spot 40-60%
4. **Use Meta Tags**: Structure creates professional results
5. **Specify BPM**: Exact numbers work better than vague "fast"
6. **Name Instruments**: List specific sounds explicitly
7. **Plan Structure**: Map intro → build → climax → outro
8. **Test Variations**: Generate 2-4 versions, compare
9. **Remaster Wisely**: 1-2 passes, not more
10. **Document Success**: Save effective prompts for future projects
## Genre-Specific Quick Commands
**Commands**:
- `create-electronic-prompt` - Electronic/EDM template
- `create-ambient-prompt` - Ambient/atmospheric template
- `create-cinematic-prompt` - Cinematic/orchestral template
- `create-lofi-prompt` - Lo-fi/chillhop template
- `create-jazz-prompt` - Jazz/fusion template
- `create-rock-prompt` - Instrumental rock template
---
*Master the art of AI music composition with Suno's powerful instrumental generation capabilities.*

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# Research Workflow - Perplexity Prompting
**Agent**: Perplexity Specialist
**Purpose**: Create comprehensive, well-structured research prompts for Perplexity AI
## Overview
This workflow guides you through creating effective research prompts using the Perfect Prompt Framework, ensuring you get accurate, well-cited, and comprehensive information from Perplexity AI.
## When to Use
- Academic research and literature reviews
- Market research and competitive intelligence
- Current events and trend analysis
- Business intelligence and industry analysis
- Product research and user needs
- Technical research and documentation
- Any information gathering that requires real-time, cited sources
## Workflow Steps
### Step 1: Define Research Need
**Goal**: Clarify what you need to know and why
**Actions**:
1. State your research question or information need
2. Define the context and intended use
3. Identify what would constitute a successful answer
4. Determine appropriate depth level
**Questions to Answer**:
- What specific question needs answering?
- What will you do with this information?
- What depth do you need (quick facts, standard, comprehensive, academic)?
- Are there time constraints (current events vs. timeless knowledge)?
**Command**: `analyze-research-need`
### Step 2: Choose Prompt Category
**Goal**: Select the right approach for your research
**Categories**:
- **Informational** - Gathering facts, data, and current information
- **Instructional** - How-to guides and step-by-step processes
- **Interactive** - Expert consultation and comparative analysis
**Considerations**:
- Informational: "What is...?", "Show me current data on..."
- Instructional: "How do I...?", "What are the steps to...?"
- Interactive: "As an expert in X, analyze...?", "Compare A and B..."
### Step 3: Build Core Prompt
**Goal**: Create the foundation using the 5-component framework
**Components to Define**:
1. **Clear Instruction** - What you want Perplexity to do
- Be specific and actionable
- Use clear verbs (analyze, summarize, compare, find, explain)
2. **Relevant Context** - Background information
- Industry, field, or domain context
- Why you're asking (use case)
- Any constraints or assumptions
3. **Specific Input** - The subject matter
- Precise topic or data to analyze
- Relevant time frames
- Geographic or domain boundaries
4. **Key Keywords** - Focus terms
- 3-5 critical search terms
- Specific terminology for your domain
- Alternative terms to consider
5. **Output Format** - How results should be structured
- List, table, narrative, comparison matrix
- Sections or categories needed
- Level of detail for each section
**Command**: `create-research-prompt` or template-specific commands
### Step 4: Add Specialization
**Goal**: Tailor the prompt for your specific use case
**Professional Templates Available**:
- **Educational** - Curriculum, learning resources, topic exploration
- **Product Management** - Market research, user needs, competitive analysis
- **Financial Analysis** - Market trends, company research, economic indicators
- **Marketing Intelligence** - Audience insights, competitive tracking, trends
**Enhancement Options**:
- Request specific citation formats (APA, MLA, Chicago)
- Ask for source diversity (academic, industry, news)
- Require recency (within last 6 months, current year)
- Specify expertise level (general audience, expert level)
**Commands**: `template-educational`, `template-product-management`, etc.
### Step 5: Optimize for Perplexity
**Goal**: Leverage Perplexity's unique strengths
**Optimizations**:
- **Real-time Data**: Request current information, latest trends
- **Source Verification**: Ask for credible, diverse sources
- **Live Web Search**: Emphasize need for most recent data
- **Citation Requirements**: Specify how sources should be referenced
**Add to Prompt**:
- "Include citations for all claims"
- "Focus on sources from the last [timeframe]"
- "Provide a mix of academic and industry sources"
- "Highlight any conflicting information from different sources"
### Step 6: Review Against Checklist
**Goal**: Ensure prompt quality and completeness
**Quality Checklist**:
- ✅ Instructions are clear and unambiguous
- ✅ Context is sufficient for understanding
- ✅ Inputs are specific and well-defined
- ✅ Keywords are relevant and focused
- ✅ Output format is specified
- ✅ Scope is appropriate and manageable
- ✅ Real-time/current data is requested
- ✅ Citation requirements are included
- ✅ Language is straightforward, not vague
**Common Issues to Fix**:
- Vague terms: "good", "best", "nice" → Replace with specific criteria
- Too broad: Narrow scope or break into multiple prompts
- Missing format: Add structure for how results should appear
- No citations: Always request sources and verification
**Command**: `refine-research-prompt`
### Step 7: Test and Iterate
**Goal**: Refine based on actual results
**Process**:
1. Use the prompt in Perplexity
2. Evaluate the results:
- Did it answer your question?
- Is the depth appropriate?
- Are sources credible and well-cited?
- Is the format usable?
3. Identify gaps or issues
4. Refine specific components
5. Test again if needed
**Iteration Focus Areas**:
- Adjust depth if too superficial or too detailed
- Add constraints if results are too broad
- Refine keywords if missing key information
- Modify output format if structure isn't helpful
## Output Deliverables
### Research Prompt Document
Saved to: `{{research_prompts_folder}}/[topic]-research-prompt.md`
**Contents**:
```markdown
# Research Prompt: [Topic]
## Purpose
[What you're researching and why]
## Perplexity Prompt
[Complete, ready-to-use prompt]
## Metadata
- Category: [Informational/Instructional/Interactive]
- Depth: [Quick/Standard/Comprehensive/Academic]
- Template: [Professional template used, if any]
- Created: [Date]
- Status: [Draft/Tested/Refined]
## Expected Outputs
- [What you expect to receive]
- [Key questions that should be answered]
## Notes
[Any refinements needed, lessons learned, etc.]
```
## Success Criteria
A successful research workflow produces:
- ✅ Clear, unambiguous prompt ready to use
- ✅ All 5 framework components present and optimized
- ✅ Appropriate depth for your needs
- ✅ Citation and source requirements specified
- ✅ Output format defined and usable
- ✅ Leverages Perplexity's real-time capabilities
- ✅ Documented for future reference and iteration
## Tips for Success
1. **Start Specific**: Better to be too narrow and expand than too broad
2. **Request Citations**: Always ask for sources and verification
3. **Define Format Early**: Knowing output structure helps focus the search
4. **Use Templates**: Leverage professional templates as starting points
5. **Iterate**: First prompts rarely perfect; refine based on results
6. **Document**: Save successful prompts for similar future needs
7. **Think Real-Time**: Perplexity's strength is current info; use it
8. **Be Clear About Depth**: Specify how comprehensive you need results
## Common Use Cases
### Quick Fact Checking
- Minimal context needed
- Specific, targeted questions
- Request verification from multiple sources
### Market Research
- Use Product Management or Marketing templates
- Request competitive landscape
- Ask for recent trends and data
### Academic Research
- Use Academic template
- Specify citation format
- Request scholarly and peer-reviewed sources
- Ask for recent studies and literature
### Competitive Intelligence
- Request real-time competitor information
- Ask for market positioning analysis
- Require multiple source verification
- Include industry context
### Learning & Education
- Use Educational template
- Request multiple perspectives
- Ask for examples and applications
- Specify expertise level
---
*Master the art of research prompting to unlock Perplexity's full potential for accurate, comprehensive, and well-cited information.*

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# Video Creation Workflow - Sora 2 Prompting
**Agent**: Sora Director
**Purpose**: Create cinematic, detailed prompts for Sora 2 AI video generation
## Overview
This workflow guides you through crafting effective video prompts using cinematographic principles, ensuring Sora 2 produces stunning, controlled visual content.
## When to Use
- Marketing and promotional videos
- Product showcases and demos
- Narrative scenes and storytelling
- Abstract and artistic visuals
- Educational content
- Social media content
- Concept visualization
- Any AI-generated video needs
## Workflow Steps
### Step 1: Define Video Concept
**Goal**: Clarify your visual vision
**Actions**:
1. Describe your core video idea
2. Identify the mood and emotional tone
3. Determine duration (4, 8, or 12 seconds)
4. Choose aspect ratio (landscape, portrait, square)
5. Define intended use and platform
**Questions**:
- What's the main visual story?
- What feeling should it evoke?
- Where will this be used?
- What's the key moment or action?
**Command**: `analyze-video-concept`
### Step 2: Choose Detail Level
**Goal**: Select appropriate prompt complexity
**Levels**:
- **Simple** - Basic description, AI creative freedom
- **Standard** - Clear direction with creative elements (recommended)
- **Detailed** - Comprehensive cinematographic specifications
- **Ultra-Detailed** - Maximum technical control
Based on {{prompt_detail_preference}}, but can override for specific needs.
**Commands**: `create-simple-prompt`, `create-standard-prompt`, `create-detailed-prompt`, `create-ultra-detailed-prompt`
### Step 3: Build Core Visual Description
**Goal**: Create precise, concrete visual details
**Essential Elements**:
1. **Visual Clarity** - Replace vague with specific
- ❌ "A beautiful street at night"
- ✅ "Wet asphalt, zebra crosswalk, neon signs reflecting in puddles"
2. **Camera Framing & Angle**
- Shot type: Wide, medium, close-up, extreme close-up
- Angle: Eye level, high angle, low angle, bird's eye, Dutch angle
- Lens: 24mm wide, 50mm normal, 85mm portrait, 200mm telephoto
3. **Depth of Field**
- Shallow focus with bokeh background
- Deep focus with everything sharp
- Rack focus (shift focus between elements)
4. **Action in Beats**
- Time-grounded, specific movements
- "Takes four steps, pauses, pulls curtain"
- Not: "person walks and does something"
5. **Lighting & Color**
- Direction: Front, back, side, overhead
- Quality: Soft, hard, diffused, dramatic
- 3-5 specific colors: "Golden hour amber, deep blue shadows, warm terracotta"
- Time of day and atmosphere
6. **Style Anchors**
- Film references: "1970s film grain", "Super 8 footage"
- Art styles: "Hand-painted animation", "Photorealistic"
- Aesthetic periods: "Film noir", "French New Wave"
**Command**: `create-video-prompt`
### Step 4: Define Technical Parameters
**Goal**: Set Sora API requirements
**Parameters** (configured separately from prompt):
- **Model**: {{default_video_model}} (sora-2 or sora-2-pro)
- **Size**: Based on aspect ratio
- Landscape: 1280x720
- Portrait: 720x1280
- Wide: 1792x1024
- Tall: 1024x1792
- **Duration**: {{video_default_duration}} seconds (4, 8, or 12)
### Step 5: Add Advanced Elements (Optional)
**Goal**: Include additional control for complex needs
**For Dialogue Scenes**:
- Keep lines concise and natural
- Label speakers clearly
- Coordinate dialogue with visual action
**Command**: `create-dialogue-scene`
**For Image References**:
- Provide reference images (JPEG, PNG, WEBP)
- Use `input_reference` parameter
- Guides visual style and aesthetic
**For Technical Control**:
- Shutter angle and film stock
- Atmospheric effects (rain, fog, dust)
- Wardrobe and props details
- Sound design implications
### Step 6: Review Cinematographic Elements
**Goal**: Ensure all visual components are specified
**Checklist**:
- ✅ Concrete, specific visual descriptions (no vague terms)
- ✅ Camera angle and lens choice specified
- ✅ Lighting direction and quality defined
- ✅ 3-5 specific colors named
- ✅ Action described in clear, time-grounded beats
- ✅ Style anchors and references included
- ✅ Duration-appropriate action complexity
- ✅ Depth of field indicated
**Command**: `refine-video-prompt`
### Step 7: Generate and Iterate
**Goal**: Create video and refine based on results
**Process**:
1. Use prompt in Sora with technical parameters
2. Generate video
3. Evaluate results
4. Make targeted adjustments using remix
5. Generate variations
**Remix Strategy**:
- Pin successful elements
- Change ONE aspect at a time
- "Switch to 85mm lens"
- "Make lighting warmer"
- "Slow down the action"
**Command**: `remix-video-prompt`
## Output Deliverables
### Video Prompt Document
Saved to: `{{video_prompts_folder}}/[project-name]-video-prompt.md`
**Contents**:
```markdown
# Video Prompt: [Project Name]
## Concept
[Visual vision and purpose]
## Sora Prompt (Prose)
[Complete, detailed visual description]
## Technical Parameters
- Model: sora-2
- Size: 1280x720 (landscape)
- Duration: 8 seconds
## Cinematographic Breakdown
- **Camera**: Wide shot, 35mm lens, static
- **Lighting**: Golden hour, warm side light from right
- **Color Palette**: Amber, terracotta, deep blue, cream, sage
- **Action Beats**: Subject enters frame left, walks 4 steps, turns to camera, smiles (2 sec each)
- **Style**: 1970s film aesthetic, slight grain
## Remix Suggestions
- Try 85mm lens for closer framing
- Adjust to blue hour for cooler tones
- Add camera movement (slow dolly in)
## Metadata
- Created: [Date]
- Duration: 8 seconds
- Status: [Draft/Generated/Refined]
```
## Success Criteria
A successful video workflow produces:
- ✅ Precise, cinematic prompt ready for Sora
- ✅ All technical parameters specified
- ✅ Visual elements clearly defined
- ✅ Action appropriate for duration
- ✅ Style and mood conveyed effectively
- ✅ Remix strategy planned
- ✅ Documented for iteration
## Tips for Success
1. **Be Visually Specific**: Every detail matters; replace vague with concrete
2. **Match Duration**: 4-second clips need simpler action than 12-second
3. **Think Cinematically**: You're directing a camera operator
4. **Use Color Precisely**: Name 3-5 specific colors, not "colorful"
5. **Time-Ground Actions**: "Takes four steps" not "walks"
6. **Embrace Variation**: Same prompt = different results; plan remixes
7. **Reference Styles**: Film periods, movements, aesthetics guide AI
8. **One Change at a Time**: Remix single elements for control
## Common Use Cases
### Product Showcase
- Clean, studio-style lighting
- Specific camera movements (rotate, dolly)
- Highlight key features with close-ups
- Professional, polished aesthetic
**Command**: `template-product-showcase`
### Narrative Scene
- Story-driven action beats
- Character focus and emotion
- Cinematic lighting and composition
- Style anchors for mood
**Command**: `template-narrative-scene`
### Abstract/Artistic
- Experimental visuals
- Focus on movement and color
- Creative lighting effects
- Art movement references
**Command**: `template-abstract-visual`
### Nature/Landscape
- Environmental details
- Natural lighting (golden hour, overcast)
- Atmospheric effects
- Wide establishing shots
**Command**: `template-nature-landscape`
---
*Master cinematic prompting to create stunning, controlled video content with Sora 2.*