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# 🎬 Viral Topic Generator for Google Antigravity
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## 📖 Overview
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This Agent Skill analyzes video content to extract successful patterns and generates viral science communication topics. Compatible with Google Antigravity and other AI coding assistants supporting the Agent Skills standard.
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## 🚀 Installation & Usage
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### Installation
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This skill is located in `.agent/skills/viral-topic-generator/` for workspace-specific use, or can be installed globally to `~/.gemini/antigravity/skills/viral-topic-generator/`.
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### Usage in Antigravity
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```bash
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# Direct invocation
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/viral-topic-generator [video-url]
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# Natural language trigger
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"Analyze this video and generate similar topics: [video-url]"
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```
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## 🎯 Compatibility
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### Supported Platforms
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- ✅ Google Antigravity
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- ✅ Claude Code
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- ✅ Cursor
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- ✅ GitHub Copilot
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- ✅ Gemini CLI
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- ✅ Other Agent Skills-compatible tools
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### Video Platforms
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- ✅ YouTube
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- ✅ Bilibili
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- ✅ TikTok/Douyin
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- ✅ Instagram Reels
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- ✅ LinkedIn Video
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- ✅ Other mainstream platforms
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## 📊 What This Skill Does
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1. **🔍 Video Analysis**
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- Extracts script structure patterns
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- Analyzes narrative rhythm and pacing
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- Identifies educational logic frameworks
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2. **🎬 Content Generation**
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- Creates 5 original topic concepts
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- Provides detailed content outlines
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- Includes viral element strategies
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3. **📈 Strategic Insights**
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- Performance predictions
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- Platform adaptation suggestions
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- Production recommendations
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## 💡 Best Practices
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### Choosing Reference Videos
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- Select high-performing content (10K+ views recommended)
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- Focus on educational/science communication content
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- Choose videos with clear structure and good engagement
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### Using Generated Topics
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- Adapt topics to your expertise area
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- Customize for your target platform
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- Maintain authenticity while applying proven structures
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## 🔄 Follow-up Prompts
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After generating topics, try:
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- "Expand topic #2 into a full script"
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- "Adapt these topics for TikTok format"
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- "How can I test these topics' viral potential?"
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- "Create a content calendar using these topics"
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## 📁 File Structure
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```
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.agent/skills/viral-topic-generator/
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├── SKILL.md # Main skill definition
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└── README.md # This usage guide
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```
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## 🌟 Agent Skills Standard
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This skill follows the open Agent Skills standard, making it portable across different AI development environments. The SKILL.md format uses YAML frontmatter for metadata and markdown for instructions.
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## 🤝 Contributing
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This skill can be enhanced with:
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- Platform-specific analysis features
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- Multi-language support improvements
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- Advanced viral prediction algorithms
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- Integration with analytics APIs
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---
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Ready to create viral science content? Load this skill and start analyzing successful videos to fuel your content strategy!
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.agent/skills/viral-topic-generator/SKILL.md
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---
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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...
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