Agent skill · Media & Video

videodb

See, Understand, Act on video and audio. See- ingest from local files, URLs, RTSP/live feeds, or live record desktop; return realtime context and playable stream links. Understand- extract frames, build visual/semantic/temporal indexes, and search moments with timestamps and auto-clips. Act- transcode and normalize (codec, fps, resolution, aspect ratio), perform timeline edits (subtitles, text/image overlays, branding, audio overlays, dubbing, translation), generate media assets (image, audio, video), and create real time alerts for events from live streams or desktop capture.

mturacgithub.com/mturacGitHub ↗
codexcopilotcursorread-onlyships scriptsMIT
Install
npx skills add mturac/everything-openai-codex --skill videodb --agent codex

Same command for any agent — swap --agent for claude-code, cursor, copilot.

Facts
Files in the skill folder: 12
SKILL.md size: 14 KB
Bundled scripts: yes
Allowed tools: ReadGrepGlobBash(python:*)
Path: skills/videodb/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 84
Language: JavaScript

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# VideoDB Skill **Perception + memory + actions for video, live streams, and desktop sessions.** ## When to use ### Desktop Perception - Start/stop a **desktop session** capturing **screen, mic, and system audio** - Stream **live context** and store **episodic session memory** - Run **real-time alerts/triggers** on what's spoken and what's happening on screen - Produce **session summaries**, a searchable timeline, and **playable evidence links** ### Video ingest + stream - Ingest a **file or URL** and return a **playable web stream link** - Transcode/normalize: **codec, bitrate, fps, resolution, aspect ratio** ### Index + search (timestamps + evidence) - Build **visual**, **spoken**, and **keyword** indexes - Search and return exact moments with **timestamps** and **playable evidence** - Auto-create **clips** from search results ### Timeline editing + generation - Subtitles: **generate**, **translate**, **burn-in** - Overlays: **text/image/branding**, motion captions - Audio: **background music**, **voiceover**, **dubbing** - Programmatic composition and exports via **timeline operations** ### Live streams (RTSP) + monitoring - Connect **RTSP/live feeds** - Run **real-time visual a

What's inside
Steps it walks through
  1. When to use
  2. Desktop Perception
  3. Video ingest + stream
  4. Index + search (timestamps + evidence)
  5. Timeline editing + generation
  6. Live streams (RTSP) + monitoring
  7. How it works
  8. Common inputs
  9. Common outputs
  10. Running Python code
  11. Setup
  12. 1. Install SDK
  13. 2. Configure API key
  14. Quick Reference
Ships with 11 files
  • reference/api-reference.md
  • reference/capture-reference.md
  • reference/capture.md
  • reference/editor.md
  • reference/generative.md
  • reference/rtstream-reference.md
  • reference/rtstream.md
  • reference/search.md
  • reference/streaming.md
  • reference/use-cases.md
  • scripts/ws_listener.py
Commands it runs
python << 'EOF'
pip install "videodb[capture]" python-dotenv
pip install videodb python-dotenv
More from everything-openai-codex
All skills →
About this skill
What does the videodb skill do?

See, Understand, Act on video and audio. See- ingest from local files, URLs, RTSP/live feeds, or live record desktop; return realtime context and playable stream links. Understand- extract frames, build visual/semantic/temporal indexes, and search moments with timestamps and auto-clips. Act- transcode and normalize (codec, fps, resolution, aspect ratio), perform timeline edits (subtitles, text/image overlays, branding, audio overlays, dubbing, translation), generate media assets (image, audio, video), and create real time alerts for events from live streams or desktop capture.

How do I install it?

Run `npx skills add mturac/everything-openai-codex --skill videodb --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From mturac/everything-openai-codex, a repository with 84 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going