127 lines
3.8 KiB
Markdown
127 lines
3.8 KiB
Markdown
---
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name: viral-topic-generator
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description: Analyzes reference videos to extract script structure, narrative rhythm, and educational logic, then generates 5 viral science communication video topics in similar style. Use when users want to create content based on successful video examples.
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argument-hint: [video-url]
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user-invocable: true
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---
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# 🎬 Viral Topic Generator - Video Content Analysis & Planning
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Analyze reference video: $ARGUMENTS and generate strategic content plans.
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## 📋 Analysis Workflow
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### Step 1: Video Information Extraction
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1. **Basic Video Data**
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- Title, description, duration
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- Platform and performance metrics
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- Target audience positioning
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### Step 2: Deep Content Analysis
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2. **Script Structure Analysis**
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- Hook design (first 3 seconds)
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- Main content architecture (problem → explanation → examples → conclusion)
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- Ending design (summary + engagement triggers)
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- Transition techniques and pacing control
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3. **Narrative Rhythm Analysis**
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- Information density distribution
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- Emotional arc and peaks
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- Key moment timing allocation
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- Visual element synchronization
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4. **Educational Logic Analysis**
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- Knowledge hierarchy structure
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- Complex concept simplification methods
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- Analogies and metaphors usage
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- Interactive question design
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- Memory reinforcement techniques
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### Step 3: Style Pattern Extraction
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5. **Expression Style Features**
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- Language style (formal/casual/humorous/technical)
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- Technical terminology density
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- Interaction preferences
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- Visual presentation characteristics
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### Step 4: Topic Generation
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6. **Generate 5 New Topics**
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For each topic provide:
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**📺 Topic Title**: Eye-catching headline
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**🎯 Target Audience**: Precise audience profile
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**⏱️ Estimated Duration**: Recommended video length
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**📖 Content Outline**:
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- Hook opening (0-3 seconds)
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- Problem introduction (3-15 seconds)
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- Core content (15 seconds - 80% of duration)
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- Summary & conclusion (last 20%)
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**🔥 Viral Elements**:
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- Controversy/curiosity triggers
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- Engagement strategies
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- Memory hooks design
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- Shareability motivations
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**📊 Performance Prediction**: Data expectations based on reference style
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**🎨 Production Recommendations**:
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- Key visual elements
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- Pacing control points
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- Interaction design suggestions
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## 📈 Output Format
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```
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# 📺 Viral Topic Analysis Report
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## 🔍 Reference Video Analysis
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[Detailed analysis content]
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## 🎬 Generated Topics (5 Total)
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### Topic 1: [Title]
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**Target Audience**: xxx
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**Estimated Duration**: xxx
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**Content Outline**:
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- Hook opening: xxx
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- Problem introduction: xxx
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- Core content: xxx
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- Summary & conclusion: xxx
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**Viral Elements**: xxx
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**Performance Prediction**: xxx
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**Production Recommendations**: xxx
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---
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[Other 4 topics in same format]
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```
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## 🎯 Core Principles
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1. **Preserve Success DNA**: Inherit core success factors from reference video
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2. **Differentiated Innovation**: Innovate content while maintaining proven style elements
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3. **Audience-Centric**: Ensure topics match target audience interests and comprehension level
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4. **Actionable Guidance**: Provide specific, executable production instructions
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5. **Viral Potential**: Each topic must contain elements for viral spread
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## 🛠️ Tool Requirements
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For optimal performance, this skill works best with agents that can:
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- Fetch web content from video URLs
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- Search for additional context and data
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- Read and analyze video transcripts or descriptions
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- Generate structured content output
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## 📝 Usage Notes
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- Supports major video platforms: YouTube, Bilibili, TikTok, etc.
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- Works with both English and Chinese content
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- Optimized for science communication and educational content
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- Generates platform-agnostic content that can be adapted for different social media
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Begin analysis of reference video and strategic topic generation... |