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Add VideoDB Skills to Individual Skills
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skills/videodb-skills/SKILL.md
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skills/videodb-skills/SKILL.md
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name: videodb-skills
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description: The only video skill your agent needs — upload any video, connect real-time streams, search inside by what was said or shown, build complex editing workflows with overlays, generate AI media, add subtitles, and get instant streaming links.
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origin: ECC
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---
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# VideoDB Skills
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The only video skill your agent needs. Upload any video, connect real-time streams, search inside by what was said or shown, build complex editing workflows with overlays, generate AI media, add subtitles, and get instant streaming links — all via the VideoDB Python SDK.
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## When to Activate
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- Uploading or ingesting videos from YouTube URLs, web URLs, or local files
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- Searching spoken words or visual scenes across video content
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- Generating transcripts or auto-styling subtitles
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- Editing clips — trim, combine, multi-timeline composition
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- Adding overlays — text, images, audio, music
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- Generating AI media — images, video, music, sound effects, voiceovers
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- Transcoding — resolution, codec, bitrate, FPS changes
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- Reframing video for social platforms (vertical, square, etc.)
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- Real-time screen or audio capture with AI transcription
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- Getting playable HLS streaming links for any output
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## Setup
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```bash
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# Install the skill
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npx skills add video-db/skills
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# Or setup manually
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pip install "videodb[capture]" python-dotenv
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export VIDEO_DB_API_KEY=sk-xxx
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```
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Run `/videodb setup` inside your agent for guided setup ($20 free credits, no credit card).
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## Core Patterns
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### Upload and Process
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```python
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import videodb
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conn = videodb.connect()
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video = conn.upload(url="https://www.youtube.com/watch?v=VIDEO_ID")
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transcript = video.get_transcript()
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for entry in transcript:
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print(f"[{entry['start']:.1f}s] {entry['text']}")
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```
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### Search Across Videos
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```python
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# Index for semantic search
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video.index_spoken_words()
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# Search by what was said
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results = video.search("product demo")
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for r in results:
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print(f"{r.start:.1f}s - {r.end:.1f}s: {r.text}")
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```
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### Timeline Editing
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```python
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from videodb import Timeline, VideoAsset, AudioAsset
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timeline = Timeline(conn)
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asset = VideoAsset(asset_id=video.id, start=10, end=30)
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timeline.add_inline(asset)
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stream = timeline.generate_stream()
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print(stream) # Playable HLS link
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```
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### AI Media Generation
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```python
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audio = conn.generate_audio(text="Upbeat background music", duration=30)
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image = conn.generate_image(prompt="Title card: Welcome to the Demo")
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```
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## Capabilities
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| Capability | What It Does |
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| Upload | YouTube, URLs, local files |
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| Search | Speech-based and scene-based |
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| Transcripts | Timestamped, multi-language |
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| Edit | Trim, combine, multi-timeline |
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| Subtitles | Auto-generate, custom styling |
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| AI Generate | Images, video, music, SFX, voiceover |
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| Capture | Screen + audio, real-time |
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| Transcode | Resolution, codec, aspect ratio |
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| Stream | HLS playable links |
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## Best Practices
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- Always verify SDK connection before operations: `conn.get_collection()`
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- Use `video.index_spoken_words()` before searching — indexing is required once per video
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- For scene search, use `video.index_scenes()` — this processes visual frames
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- Timeline edits produce new streams; the original video is never modified
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- AI generation is async — poll status or use callbacks for long operations
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- Store `VIDEO_DB_API_KEY` in `.env`, not hardcoded
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## Repository
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https://github.com/video-db/skills
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