ffmpeg-analyse-video
fabriqaai/ffmpeg-analyse-video-skill · skills.sh
Open source Repository Open in the app JSON README (API)
About
Skill publicada por fabriqaai/ffmpeg-analyse-video-skill no skills.sh. Instale com: npx skills add fabriqaai/ffmpeg-analyse-video-skill@ffmpeg-analyse-video
Details
- Kind
- Agent skills
- Topic
- Media, design & games
- Publisher
- fabriqaai
- Origin
- skillssh
- Category
- ferramentas
- Stars
- 27
- Forks
- 4
- Open pull requests
- 1
- Last push
- 2026-02-15T16:29:49Z
- Repository state
- ativo
- Added
- 2026-08-30 15:22:39
- Updated
- 2026-09-08 15:05:55
- Origin id
fabriqaai/ffmpeg-analyse-video-skill/ffmpeg-analyse-video
README
# ffmpeg-analyse-video-skill
AI agent skill that analyses video content by extracting frames with ffmpeg and using vision to generate timestamped step-by-step summaries.
Works with screen recordings, tutorials, presentations, footage, and animations.
## Install
```bash
npx skills add fabriqaai/ffmpeg-analyse-video-skill
```
## Requirements
- **ffmpeg** and **ffprobe** installed on your system
- macOS: `brew install ffmpeg`
- Ubuntu/Debian: `sudo apt install ffmpeg`
- Windows: `choco install ffmpeg` or `winget install ffmpeg`
## Usage
Provide a video file path and ask your agent to analyse it:
```
Analyse this video: /path/to/recording.mp4
```
```
What happens in this video? ~/Desktop/demo.mov
```
```
Summarise this recording: ./tutorial.mp4
```
### Advanced
```
Analyse 2:00 to 5:00 of meeting.mp4
```
```
Analyse this video in high detail: demo.mp4
```
```
Focus on the code shown in this video: screencast.mp4
```
## How It Works
```
Main Agent Sub-Agents (disposable context)
────────── ──────────────────────────────
1. ffprobe metadata ───►
2. ffmpeg frame extraction ───►
3. Split frames into batches ──► 4. Read images (vision)
Write text descriptions
to batch_N_analysis.md
5. Read text files only ◄─── (context discarded)
6. Synthesise final output
```
Frame images are only ever read inside disposable sub-agent contexts. The main agent receives lightweight text-only analysis files — no images enter the main conversation. This cuts context usage by ~90% compared to reading frames directly.
### Frame Extraction Strategies
| Video Duration | Strategy | Expected Frames |
|---------------|----------|-----------------|
| 0-60s | Interval (1 frame/2s) | 1-30 |
| 1-10min | Scene detection | 15-60 |
| 10-30min | Keyframe extraction | 30-80 |
| 30min+ | Thumbnail filter | Capped at 60 |
### Output Format
The skill produces a structured markdown report:
- **Metadata** — duration, resolution, fps, content type, frames analysed
- **Timeline** — chronological segments with descriptions
- **Key Moments** — 3-7 most significant timestamps
- **Summary** — 2-5 sentence narrative
## License
MIT