video-analyzer
0The video-analyzer skill helps users analyze video content for various parameters such as duration, frame rate, and resolution. It is suitable for developers and data analysts looking to extract insights from video files.
500Updated 1mo ago
Video Processing
Quick InstallView Source
$ npx skills add https://github.com/zrong/skills --skill video-analyzerOverview
About This Skill
The video-analyzer skill uses vision and video large language models to understand and analyze video content from local files or URLs. It extracts insights by processing video frames through configurable AI models like Doubao Vision or OpenAI, with adjustable frame sampling to balance detail and API costs. Users can analyze videos, get content summaries, ask questions about video material, and describe scenes—ideal for developers, data analysts, and anyone needing automated video understanding. The skill supports video site URLs (YouTube, Bilibili) via yt-dlp integration and offers flexible configuration for different model backends and analysis parameters.
How to Use
Install the skill using the provided command.
Use Cases
Extract frame rate from video files
Calculate video duration
Determine video resolution
Tags
Setup & Installation
Quick Install
Terminal
$ npx skills add https://github.com/zrong/skills --skill video-analyzerAlternative Install (Git Clone)
git clone https://github.com/zrong/skillsRequirements
- Claude Code or compatible AI agent
Quick Start Guide
1
Install the Skill
Copy the install command above and run it in your terminal.
2
Open Your AI Agent
Launch Claude Code, Cursor, or your preferred AI coding agent.
3
Try It Out
Use the prompt template or examples below to test the skill.
4
Customize
Adapt the skill to your specific use case and workflow.
Usage Examples
Prompt Template
Analyze the video file at [VIDEO_FILE_PATH] and provide a detailed breakdown of its technical specifications including duration, frame rate, resolution, codec, and file size. Also, identify any potential issues like corrupted frames or audio sync problems. Assume the video is stored locally on my machine.
Example Output
**Video Analysis Report: Product Demo.mp4**
### **Basic Metadata**
- **Duration:** 2 minutes 47 seconds (00:02:47)
- **File Size:** 182.3 MB
- **Format:** MP4 (MPEG-4 Part 14)
### **Video Specifications**
- **Resolution:** 1920x1080 (Full HD)
- **Frame Rate:** 30 fps (constant)
- **Codec:** H.264 (High Profile, Level 4.1)
- **Bitrate:** 8.5 Mbps (variable)
### **Audio Specifications**
- **Codec:** AAC (Advanced Audio Codec)
- **Sample Rate:** 48 kHz
- **Channels:** Stereo
- **Bitrate:** 192 kbps
### **Potential Issues Detected**
✅ **No corrupted frames** detected in the first 1000 frames.
⚠️ **Minor audio desync** detected at timestamp 00:01:22 (3 frames behind video).
🔍 **Recommendation:** Use a video editor to realign audio if precision is critical.
### **Export Summary**
```json
{
"duration": "00:02:47",
"file_size_mb": 182.3,
"resolution": "1920x1080",
"frame_rate": 30,
"video_codec": "H.264",
"audio_codec": "AAC",
"issues": ["minor_audio_desync"]
}
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