feat: add AI Video Editing via Chat use case

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# AI Video Editing via Chat
Editing videos usually means opening a timeline editor, dragging clips around, and clicking through menus. For repetitive edits — trimming intros, adding subtitles to a batch of clips, adjusting color on 10 videos — that manual loop eats hours.
This use case turns video editing into a conversation. Describe what you want changed, drop the file, and get the result back. No timeline, no GUI.
## What You Can Do
• Trim, cut, and merge clips by describing timestamps in plain language
• Add background music with automatic audio ducking
• Generate and burn subtitles from speech (50+ languages)
• Color grade footage ("make it warmer", "match the look of the first clip")
• Crop to vertical for TikTok/Reels/Shorts
• Batch process multiple files with the same edit
## Skills You Need
- [video-editor-ai](https://clawhub.ai/skills/video-editor-ai) — chat-based video editing with BGM, subtitles, and export
- [ai-subtitle-generator](https://clawhub.ai/skills/ai-subtitle-generator) — auto captions, subtitle burning, SRT export
## How to Set It Up
1. Install the skills:
```bash
clawhub install video-editor-ai
clawhub install ai-subtitle-generator
```
2. Drop a video file into chat and describe your edit:
```text
Trim this video from 0:15 to 1:30, add background music (something upbeat),
and burn subtitles in English.
```
3. For batch processing, describe the pattern:
```text
I have 5 clips in /videos/raw/. For each one:
- Crop to 9:16 vertical
- Add auto-generated captions at the bottom
- Export as mp4
```
The agent handles the API calls, polls for completion, and delivers the finished files back to chat.
## Tips
- Be specific about timestamps and output format ("export as mp4 at 1080p")
- For subtitle work, mention the source language if it's not English
- Color grading works best with reference descriptions ("warm sunset tones") rather than technical values