3.8 KiB
3.8 KiB
name, description, argument-hint, user-invocable
| name | description | argument-hint | user-invocable | |
|---|---|---|---|---|
| viral-topic-generator | 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. |
|
true |
🎬 Viral Topic Generator - Video Content Analysis & Planning
Analyze reference video: $ARGUMENTS and generate strategic content plans.
📋 Analysis Workflow
Step 1: Video Information Extraction
- Basic Video Data
- Title, description, duration
- Platform and performance metrics
- Target audience positioning
Step 2: Deep Content Analysis
-
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
-
Narrative Rhythm Analysis
- Information density distribution
- Emotional arc and peaks
- Key moment timing allocation
- Visual element synchronization
-
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
- Expression Style Features
- Language style (formal/casual/humorous/technical)
- Technical terminology density
- Interaction preferences
- Visual presentation characteristics
Step 4: Topic Generation
-
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
- Preserve Success DNA: Inherit core success factors from reference video
- Differentiated Innovation: Innovate content while maintaining proven style elements
- Audience-Centric: Ensure topics match target audience interests and comprehension level
- Actionable Guidance: Provide specific, executable production instructions
- 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...