---
name: viral-topic-generator
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.
argument-hint: [video-url]
user-invocable: true
---

# 🎬 Viral Topic Generator - Video Content Analysis & Planning

Analyze reference video: $ARGUMENTS and generate strategic content plans.

## 📋 Analysis Workflow

### Step 1: Video Information Extraction
1. **Basic Video Data**
   - Title, description, duration
   - Platform and performance metrics
   - Target audience positioning

### Step 2: Deep Content Analysis
2. **Script Structure Analysis**
   - Hook design (first 3 seconds)
   - Main content architecture (problem → explanation → examples → conclusion)
   - Ending design (summary + engagement triggers)
   - Transition techniques and pacing control

3. **Narrative Rhythm Analysis**
   - Information density distribution
   - Emotional arc and peaks
   - Key moment timing allocation
   - Visual element synchronization

4. **Educational Logic Analysis**
   - Knowledge hierarchy structure
   - Complex concept simplification methods
   - Analogies and metaphors usage
   - Interactive question design
   - Memory reinforcement techniques

### Step 3: Style Pattern Extraction
5. **Expression Style Features**
   - Language style (formal/casual/humorous/technical)
   - Technical terminology density
   - Interaction preferences
   - Visual presentation characteristics

### Step 4: Topic Generation
6. **Generate 5 New Topics**

   For each topic provide:

   **📺 Topic Title**: Eye-catching headline

   **🎯 Target Audience**: Precise audience profile

   **⏱️ Estimated Duration**: Recommended video length

   **📖 Content Outline**:
   - Hook opening (0-3 seconds)
   - Problem introduction (3-15 seconds)
   - Core content (15 seconds - 80% of duration)
   - Summary & conclusion (last 20%)

   **🔥 Viral Elements**:
   - Controversy/curiosity triggers
   - Engagement strategies
   - Memory hooks design
   - Shareability motivations

   **📊 Performance Prediction**: Data expectations based on reference style

   **🎨 Production Recommendations**:
   - Key visual elements
   - Pacing control points
   - Interaction design suggestions

## 📈 Output Format

```
# 📺 Viral Topic Analysis Report

## 🔍 Reference Video Analysis
[Detailed analysis content]

## 🎬 Generated Topics (5 Total)

### Topic 1: [Title]
**Target Audience**: xxx
**Estimated Duration**: xxx
**Content Outline**:
- Hook opening: xxx
- Problem introduction: xxx
- Core content: xxx
- Summary & conclusion: xxx

**Viral Elements**: xxx
**Performance Prediction**: xxx
**Production Recommendations**: xxx

---
[Other 4 topics in same format]
```

## 🎯 Core Principles

1. **Preserve Success DNA**: Inherit core success factors from reference video
2. **Differentiated Innovation**: Innovate content while maintaining proven style elements
3. **Audience-Centric**: Ensure topics match target audience interests and comprehension level
4. **Actionable Guidance**: Provide specific, executable production instructions
5. **Viral Potential**: Each topic must contain elements for viral spread

## 🛠️ Tool Requirements

For optimal performance, this skill works best with agents that can:
- Fetch web content from video URLs
- Search for additional context and data
- Read and analyze video transcripts or descriptions
- Generate structured content output

## 📝 Usage Notes

- Supports major video platforms: YouTube, Bilibili, TikTok, etc.
- Works with both English and Chinese content
- Optimized for science communication and educational content
- Generates platform-agnostic content that can be adapted for different social media

Begin analysis of reference video and strategic topic generation...